96 results about "Thermal hysteresis" patented technology

The invention relates to the technical field of non-electrical variable control, and discloses an industrial water chiller temperature intelligent adjusting system, which comprises a refrigeration circulation loop and a control unit, the control unit calculates a steady state control component based on the water outlet temperature deviation, performs differential processing on the refrigerant pressure to extract the gradient, and outputs the gradient. Generating a transient compensation component when the gradient exceeds a dynamic noise threshold; according to the method, the problem of thermal lag is solved by utilizing the pressure wave transmission speed advantage, aggressive response is prevented from triggering low-pressure shutdown through a safety margin constraint mechanism, the pressure safety margin is calculated in real time, a gain coefficient is determined according to a nonlinear model, and a final driving instruction is generated. And the dynamic balance of the control response speed and the system physical security boundary is realized.

The invention discloses a self-adaptive adjustment method and system for the die-casting temperature of a die-casting die, and relates to the field of die-casting temperature adjustment, and the method comprises the steps: synchronously obtaining a real-time temperature data flow and a real-time control output flow of the die-casting die, and constructing a time sequence data model capable of representing the internal thermal dynamic characteristics of the die-casting die; on the basis, a depth time sequence prediction model is introduced, and the future temperature response track of the system is accurately deduced. Furthermore, process targets such as a temperature set value are fused, and a model predictive control framework is utilized to carry out prospective rolling optimization on future multi-step control output so as to solve an optimal control instruction sequence. And finally, taking the first instruction of the sequence as the actual control output of the current period. Therefore, the advanced and accurate output of the controlled quantity can be realized, and the thermal hysteresis effect is effectively overcome, so that the high-precision and high-stability self-adaptive adjustment of the die-casting temperature is realized.

The invention relates to the technical field of power equipment monitoring and fault diagnosis, and discloses a power transformer fault early warning method and system. The method comprises the following steps: acquiring a load current sequence, an environment temperature sequence and a top oil temperature sequence of a transformer; calculating an initial actually measured temperature rise based on the top oil temperature and the environment temperature, and determining thermal response lag time through cross-correlation analysis; carrying out translation correction on the load current according to the lag time, and constructing a time-aligned excitation input set and an actually measured temperature rise sequence based on a common effective time window; substituting the excitation input set into a thermal circuit model based on a thermal balance differential equation to calculate a theoretical reference temperature rise, calculating a residual error in combination with an actually measured temperature rise sequence, performing moving average filtering, and constructing a fault feature vector; and inputting the fault feature vector into a fault diagnosis classification model to determine a fault type and severity, and generating a grading early warning instruction according to the fault type and severity. According to the method, thermal hysteresis interference can be eliminated, and accurate quantitative early warning of the latent thermal fault of the transformer under the dynamic working condition is realized.

The invention relates to the technical field of intelligent control, and particularly discloses an intelligent control method and system for shell laser welding. The method comprises the steps that heat flow distribution characteristics on a welding path are collected to construct a heat saturation matrix; generating a transient thermal resistance factor adaptive to the current heat dissipation capability based on the thermal saturation matrix; carrying out advanced rolling prediction by utilizing the transient thermal resistance factor, and extracting a heat flow inflection point coordinate of which the rheological property of the molten pool is mutated; constructing a virtual control boundary independent of the physical inflection point; and when the welding displacement triggers the virtual control boundary, a pre-judgment type negative gain damping strategy is generated. The system comprises a heat flow collection module, a thermal resistance analysis module, a sudden change analysis module, a boundary construction module and a welding regulation and control module. According to the method, by constructing the advanced control strategy containing thermal hysteresis compensation, molten pool instability caused by heat accumulation can be restrained, and heat balance regulation and control in the welding process are achieved.

The invention belongs to the technical field of power equipment state monitoring and fault diagnosis, and particularly relates to a comprehensive distribution box state online monitoring method and system based on artificial intelligence, and the method comprises the steps: obtaining the terminal temperature of a monitoring point, the load current of a loop, and the environment temperature outside a distribution box, and carrying out the time sequence alignment of collected data; calculating real-time heat dissipation power and load heat shock source intensity of the monitoring points based on the aligned data; based on the real-time heat dissipation power, the load heat shock source intensity and the terminal temperature sequence, the equivalent electric heating impedance modulus of the monitoring point is obtained; and constructing a sliding time window based on the equivalent electrothermal impedance modulus, calculating the contact health degree in the sliding time window, and determining the operation state of the distribution box according to the contact health degree. According to the invention, the interference of the load current and the environment temperature is decoupled by constructing the physical inversion model, the thermal hysteresis phenomenon is effectively overcome, and accurate monitoring of contact aging and loosening faults is realized.

The invention discloses an indium phosphide single crystal growth dynamic thermal field control method based on AI calibration of multiple temperature zones, and relates to the technical field of semiconductor material preparation and artificial intelligence control. According to the method, a multi-temperature-zone thermal field digital twin model is constructed, multi-channel temperature data, heating power data and crystal growth image data in an indium phosphide single crystal growth furnace are collected, and real-time three-dimensional reconstruction of thermal field distribution in the furnace is carried out; with the crystal growth rate, the solid-liquid interface shape and the thermal stress distribution as optimization targets, power adjustment instructions of heaters in all temperature zones are output; an AI calibration module is introduced to correct thermophysical parameters of the digital twin model; deducing a thermal field state at a future moment, compensating a thermal hysteresis effect in advance, and realizing accurate closed-loop control of an indium phosphide single crystal growth process; according to the invention, the problem that the traditional PID control is difficult to cope with nonlinear, strong-coupling and large-lag thermal field change in large-size crystal growth is solved, and the single crystal yield and the lattice quality are remarkably improved.

This invention discloses a method and system for temperature compensation of fiber optic gyroscopes. It acquires the angular velocity output, temperature, and zero-bias drift value under varying temperature conditions, constructs basic features, temporal memory features, and physical interaction feature vectors, and integrates them into a comprehensive physical information feature vector. This comprehensive vector is used as input, and the zero-bias drift value is used as the training label to train the model until convergence. In the online phase, this comprehensive feature vector is reconstructed in real time and input into the model to predict the zero-bias drift, correcting the real-time output angular velocity. The temporal memory feature introduced in this invention quantifies the thermal accumulation history using statistics from a multi-scale sliding window, eliminating the ambiguity problem of thermal hysteresis mapping and significantly reducing computational load. Simultaneously, the physical interaction feature pre-introduces the nonlinear product term of temperature and rate of change into the model, decoupling linear and nonlinear errors, breaking through the generalization bottleneck of traditional black-box models under small sample conditions, and endowing the model with strong physical interpretability and extrapolation capabilities.

This invention relates to the field of industrial automation control technology and discloses a method for energy consumption balance control of glass fiber surface desizing based on dynamic modeling. The method includes: collecting real-time load data and temperature zone environmental parameters of the glass fiber desizing production line; calculating the theoretical desizing energy consumption and environmental heat loss to generate a basic power command; calculating the temperature zone dynamic hysteresis constant using a thermal inertial observer and superimposing it as a phase offset onto the basic power command to generate an initial power command sequence; extracting power boundary thresholds to verify the initial command amplitude; if there is an amplitude exceeding the limit, calling the power timing allocation logic to backfill the excess energy integral value to the preceding adjacent control cycle, generating a compensated power command sequence that meets physical boundary constraints and driving the heating output component. This invention maintains the spatiotemporal alignment of the control command center of gravity with load fluctuations, eliminates phase mismatch caused by thermal hysteresis, and ensures sufficient enthalpy change of the material.

The invention discloses a BOTDR (Brillouin Optical Time Domain Reflectometer)-based OPGW (Optical Fiber Composite Overhead Ground Wire) light icing identification method, which comprises the following steps of: firstly, establishing a thermal conduction model of an OPGW in a non-icing state and an icing state, and constructing a theoretical expression of an OPGW icing thermal hysteresis effect by utilizing a linear relation between Brillouin frequency shift and temperature; then, the Brillouin frequency shift distribution along the line is obtained through a BOTDR system, actually measured data is matched with a model calculation result, and the icing thickness and the distribution interval are obtained through a regularization least square inversion method. According to the invention, clear identification of the light icing section can be realized, and good stability can be maintained under different illumination radiation intensity conditions. The method is clear in mechanism, high in model precision and suitable for early icing identification and anti-icing and deicing early warning application of the long-distance OPGW line.

The invention discloses a high-precision low-power-consumption cooling system for a chemical reaction furnace, and relates to the technical field of heat exchange in chemical production. The cooling device comprises a cooling circulation pipe, the cooling circulation pipe is used for connecting a reaction furnace and a cooling device, the cooling circulation pipe is communicated with an inner cavity of the reaction furnace, the cooling circulation pipe is used for leading out reactants in the reaction furnace to enter the cooling device to be cooled and circularly flow back into the reaction furnace, and the cooling device comprises an air cooling fan and a liquid cooling cooler. The cooling circulating pipe is directly communicated with the inner cavity of the reaction furnace, so that a traditional jacket or coil indirect cooling mode is abandoned, reactants in the reaction furnace are directly led out to enter the cooling device for cooling, the total thermal resistance of the system is reduced, and the overall cooling efficiency is improved; the thermal hysteresis effect generated when a traditional cooling medium circulates in a long pipeline and an external water chilling unit is effectively eliminated, the real-time monitoring of the cooling controller can make an instantaneous response to the temperature change of reactants, and the problem that the temperature control precision is poor is solved.

The present application relates to the technical field of data processing and remote maintenance of oil logging instrument, and particularly relates to a remote data calibration method and system for a neutron measurement system. The method comprises the following steps: collecting multi-dimensional time sequence data of downhole instrument, and identifying the current temperature change state; based on the principle of non-steady-state heat conduction, the thermal hysteresis index is calculated by using the temperature change rate and the material thermal saturation limit constant; the real temperature of the crystal is reconstructed by using the thermal hysteresis index to inversely correct the measured temperature of the sensor; and based on the equivalent lattice temperature, the original energy spectrum characteristics are dynamically gain calibrated by using a preset quadratic polynomial multiplication compensation model. By reconstructing the real temperature of the crystal, the present application eliminates the gain hysteresis loop in the up-measuring and down-measuring processes, and significantly improves the interpretation accuracy and consistency of the logging data in a complex variable temperature environment.

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 specifically relates to a high-voltage fuse residual life evaluation method and system based on real-time monitoring, and relates to the technical field of high-voltage power equipment monitoring and life evaluation. A feature vector construction module; a differential topology analysis module; a second-order trend verification module; and a life evaluation module. According to the invention, targeted hardware model selection adapts to a high-voltage electromagnetic and high-potential isolation environment, the current and temperature acquisition units both adopt an isolation design and an anti-interference sensor, and a photoelectric isolation technology is combined to ensure that data acquisition is safe and reliable; meanwhile, current-temperature time sequence deviation is eliminated through thermal lag compensation, load fluctuation interference is stripped by means of a normalized thermal-electric coupling coefficient, systematic errors such as environment temperature change and sensor drift are counteracted through differential topology analysis, and a single-phase aging fault is positioned.

The present application relates to the technical field of industrial automation instrument and intelligent sensor detection, in particular to a pressure transmitter debugging and checking method; comprising parameter acquisition, thermal hysteresis evolution, error calculation and pressure reconstruction module; the method collects temperature and pressure data in non-steady state environment; the core is to calculate the internal temperature by using the filling liquid thermal hysteresis model, combine the transient pseudo pressure with the viscoelastic hysteresis error model, calculate the error caused by thermal imbalance and material hysteresis, and reconstruct the real steady state pressure; the present application realizes the change from static waiting to dynamic prediction, eliminates the thermal balance waiting time through prediction, and greatly improves the production efficiency.

The invention relates to the technical field of data processing and remote maintenance of petroleum logging instruments, in particular to a remote data calibration method and system for a neutron measurement system. The method comprises the following steps: collecting multi-dimensional time sequence data of an underground instrument, and identifying a current temperature change state; calculating a thermal hysteresis index by using a temperature change rate and a material thermal saturation limit constant based on an unsteady state heat conduction principle; performing reverse correction on the actually measured temperature of the sensor by using the thermal hysteresis index, and reconstructing the equivalent lattice temperature in the crystal; and based on the equivalent lattice temperature, performing dynamic gain calibration on the original energy spectrum characteristics by using a preset quadratic polynomial multiplication compensation model. According to the invention, by reconstructing the real temperature of the crystal, a gain lag loop in the upper measurement and lower measurement processes is eliminated, and the interpretation precision and consistency of logging data in a complex variable-temperature environment are remarkably improved.

The invention discloses a multi-process thermal mechanical deformation monitoring and compensating system for an engine support, and relates to the technical field of image monitoring. The system firstly collects visible light and infrared data to generate a fusion image, and recognizes the chip shielding state of the surface of a workpiece; if yes, driving a physical cleaning device to perform directional cleaning until a judgment logic is met, and generating a hot historical log containing cleaning process data; calculating a current three-dimensional full-field deformation vector of the workpiece in combination with the recovered pure surface temperature field and a thermal history log; and finally extracting the displacement and rotation amount of the key feature points, and generating a machine tool coordinate system space transformation instruction for compensation. According to the method, the problems of infrared temperature measurement distortion caused by inner cavity chip accumulation under the minimal quantity lubrication working condition and thermal lag prediction deviation generated by internal heat accumulation after chip removal are solved.

The application discloses a transmission shaft heat treatment temperature control method and a heat treatment process, which comprises the following steps: S1, obtaining the thermal hysteresis coefficient of each step section of the transmission shaft; S2, collecting the transmission shaft temperature in real time and performing internal temperature inversion: obtaining the surface temperature of each step section of the transmission shaft, inverting the real-time core temperature T_ci(t) of each step section, and then calculating and obtaining the real-time internal-external temperature difference of each step section; S3, temperature difference constraint judgment: setting the internal-external temperature difference threshold as ΔT_allow, obtaining the maximum internal-external temperature difference value ΔT_max of each step section of the transmission shaft, and if ΔT_max <= ΔT_allow, then performing step S4; S4, obtaining the heating rate v of each step section of the transmission shaft i , and taking the minimum value as the actual heating rate. The application provides a transmission shaft heat treatment temperature control method and a heat treatment process, which reduces the internal-external shaft body heating temperature difference and improves the product quality.

The application discloses a flywheel post-processing thermal deformation residual stress release and return control system and method, relates to the advanced manufacturing and industrial artificial intelligence control technical field, and the steps of the method comprise the following steps: obtaining flywheel initial compressive stress and asynchronous space-time sensing data in sequence, and extracting a thermal hysteresis dislocation index, a warping misjudgment separation degree and a targeted compressive stress retention rate in parallel; the above-mentioned multi-source features are injected into a waveform optimization model to calculate a coupling degradation flow form degree, and a variable-frequency pulse heating waveform is output by combining a anti-whip bias matrix inversion; finally, the reciprocal of the flow form degree is monotonically integrated and mapped to generate a return position confidence index, so as to trigger the system to stop accurately. The application effectively avoids the structural resonance caused by high-frequency thermal pulses, avoids the indiscriminate dissipation of the preset compressive stress resisting centrifugal force, and realizes the safe release of residual stress and the size return.

The invention discloses a heat balance injection molding method based on induction heating-traditional temperature control fusion, and belongs to the technical field of plastic processing. In order to solve the problems that in the heating process of a traditional injection mold, heat lag is obvious, energy consumption waste is serious, and temperature field control of a single heating mode is insufficient, the technology achieves dynamic stability of a mold temperature field through the cooperation mode of mold temperature controller basic temperature control and temperature rise provided through induction heating in combination with dynamic heat balance in a continuous injection molding period. The method comprises the specific steps of mold basic temperature preheating, induction heating parameter adaptation, continuous injection molding heat balance maintenance and process parameter dynamic optimization. The method has the advantages of feasibility and energy conservation, and a new scheme is provided for consumption reduction in the injection molding industry.

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.

The invention relates to a lithium ion battery tab and a preparation method thereof, and the lithium ion battery tab comprises a current collector assembly which comprises two current collector layers stacked in parallel; a protective film is deposited on the outer surface of the temperature sensing unit, the temperature sensing unit is clamped between the two current collector layers, and the temperature sensing unit comprises a temperature sensor chip; one end of the wire is electrically connected with the temperature sensor chip, and the other end of the wire is provided with an extension part which extends to the end part of the current collector assembly along the plane direction; the insulation sealing element covers the contact surface of the extension part and the current collector layer; wherein the two current collector layers are fixedly connected after clamping the temperature sensing unit. Through the three-layer structure of the current collector layer, the temperature sensing unit and the current collector layer, the composite tab integrated with the temperature sensing function is designed, direct, rapid and accurate temperature measurement of the tab serving as a key hot spot in a battery cell is achieved, and the thermal hysteresis problem of traditional external temperature measurement is fundamentally eliminated.

This invention discloses a heating-not-burning cigarette cooling unit containing a phase change cooling material and a heating-not-burning cigarette. The unit comprises at least a carrier paper and a phase change cooling material coated on the carrier paper. The phase change cooling material is distributed in a non-fully-covering, regular pattern on the carrier paper. The carrier paper coated with the phase change cooling material forms multiple longitudinally extending channels through winding, folding, gathering, bending, and wrinkling, and has a porosity of 40%-90% along the longitudinal direction. The phase change cooling material comprises 55-96 parts by weight of polyethylene glycol, 1-5 parts by weight of in-situ reinforcing material, and 3-40 parts by weight of thermally conductive filler. The heating-not-burning cigarette cooling unit of this invention has the advantages of high latent heat of phase change, low thermal hysteresis effect, high heat absorption efficiency, apparent stability without collapse, and no leakage.

The invention belongs to the technical field of electric energy meter metrological verification, and particularly relates to an electric energy meter production process environment temperature and humidity abnormity early warning method and system, and the method comprises the steps: collecting the real-time environment temperature data of a key region of an electric energy meter verification assembly line, and constructing a historical data queue with a preset length; calculating a thermal lag deviation index of the interior of the electric energy meter relative to the standard temperature at the current moment; intercepting data in a recent preset duration in the historical data queue as a short-term observation window, and obtaining an environment fluctuation rate at the current moment; and calculating the thermal lag deviation index and the environmental fluctuation rate by using a preset weighting coefficient to obtain a thermal steady-state index, comparing the thermal steady-state index with a preset threshold value, and executing the operation of grading early warning or blocking a verification process according to a comparison result. The method can improve the accuracy of environment anomaly recognition in combination with the thermal coupling characteristic of the intelligent electric energy meter.

The present application relates to the field of furnace lining damage detection, and more particularly to a furnace lining thermal shock damage detection method and system based on thermal imaging, the method comprising: collecting a thermal image sequence during the furnace lining temperature rising process; constructing a spatial neighborhood consensus temperature curve; calculating the instantaneous deviation between the actual temperature time sequence of each pixel and its corresponding spatial neighborhood consensus temperature curve; filtering the instantaneous deviation, calculating the thermal hysteresis index of the damage degree of each pixel; aggregating the thermal hysteresis index of all pixels to calculate the global damage cumulative value of the current detection period; storing the global damage cumulative value into a historical trend sequence; updating the smoothing level and the current trend of the sequence; calculating and outputting the remaining service life of the furnace lining, so as to realize the detection and life prediction of the thermal shock damage of the furnace lining. The present application effectively solves the problem that the prior art cannot distinguish between normal thermal characteristic difference and damage thermal hysteresis.

The present application relates to the technical field of visual detection, and discloses a welding defect online detection system and method based on machine vision, the welding defect online detection system based on machine vision comprises: collecting front-view molten pool images and rear-view structured light images; calculating the position of a pressure relief port and the equivalent radius of the pressure relief port; determining a local analysis interval; calculating the position of a degradation center; calculating a thermal hysteresis curvature migration coefficient; calculating a hysteresis instability energy; and outputting a welding defect detection result. The present application quantitatively fuses the geometric degradation of pressure relief anomalies and hysteresis in the welding process by constructing a thermal hysteresis curvature migration coefficient and a hysteresis instability energy, and outputs a single-valued defect detection result to adapt to the online detection needs of continuous welding production. The extraction and quantification of defect features are completed simultaneously during the welding operation process, the hysteresis-type geometric degradation signals specific to galvanized steel lap welding can be captured, and direct application of quantitative data support is provided for the quality control of welding production.

The present application belongs to the technical field of exploration and engineering surveying, and specifically discloses a tunneling machine vibration coupling navigation self-calibration method, which comprises: based on a global system reference beat, feeding forward compensating the physical transmission delay of a heterogeneous bus and the inherent hardware latch delay of an analog-to-digital converter, controlling a micro-electro-mechanical system accelerometer to collect and output a clean vibration acceleration sequence; performing window segmentation on the clean vibration acceleration sequence to extract time-frequency domain features, and synchronously extracting the thermal flow gradient change rate features of the inertial measurement component kernel, and cascading and combining them into a holographic intrinsic state descriptor; the present application aims to solve the problems in the prior art, such as low positioning accuracy and poor stability of the combined navigation system, caused by the problems of the tunneling machine under vibration and impact working conditions, such as non-synchronization of heterogeneous sensor data, vibration rectification error and thermal hysteresis effect caused thereby, model misalignment caused by sudden geological changes, integral error accumulation, and decline of long-period operation model generalization ability.

This invention discloses a heated tobacco cooling unit with enhanced thermal conductivity and a heated tobacco product, comprising a carrier sheet, several metal foils, and several phase change cooling materials. The carrier sheet has several perforated holes. Several metal foils are disposed on at least one side of the carrier sheet and cover the perforated holes. The metal foils are spaced apart and discretely arranged. The phase change cooling materials are filled within the perforated holes using the metal foils as a carrier. The carrier sheet containing the metal foils and phase change cooling materials is formed into the heated tobacco cooling unit by at least one of the following methods: winding, folding, gathering, bending, and pleating. The metal foils are regularly and intermittently distributed along the longitudinal direction of the tobacco strip. The cooling unit has multiple longitudinally extending channels, and the porosity of the cross-section is 40%-90%. The heated tobacco cooling unit with enhanced thermal conductivity of this invention has the advantages of high latent heat of phase change, low thermal hysteresis effect, high heat absorption efficiency, apparent stability without collapse, and no leakage.

The invention relates to the field of cable insulation layer aging test, in particular to an electric vehicle cable insulation layer aging test method based on data analysis, which comprises the following steps: firstly, synchronously acquiring multi-dimensional data such as voltage, current, cable surface temperature and cooling system duty ratio based on a high-frequency sampling protocol; and then, the system constructs a virtual internal energy accumulation observation model by using the law of conservation of energy, and effectively eliminates a thermal hysteresis monitoring blind area caused by heat conduction of the insulating layer by calculating Joule thermal power input and an active heat dissipation correction term. Meanwhile, electric field auxiliary dissociation characteristics are constructed through the coupling voltage ratio and the heat accumulation degree, material activation energy is dynamically corrected through a power weight gating factor, and misinformation in the trickle charging stage is avoided. And finally, the virtual internal energy and the dynamic activation energy are mapped to the corrected Arrhenius equation, the insulation life loss is accurately calculated, and physical fidelity evaluation and real-time early warning of the insulation damage under the fast charge transient impact are realized.

This invention relates to the field of smart agricultural supply chain management technology, specifically to a method for traceability management of organic fertilizer quality and safety based on multi-source data. The method includes: collecting ambient air temperature, relative humidity, and vibration acceleration during transportation; using a thermal inertia compensation model to extrapolate the core temperature inside the product packaging based on ambient temperature and vibration data, comprehensively considering the heat conduction hysteresis effect and the thermal effect generated by mechanical vibration; using a dynamic biological activity decay model including a humidity coupling factor to calculate the instantaneous decay rate of microorganisms based on the core temperature and humidity; calculating the total remaining activity of the product by time integration of the instantaneous decay rate, and generating quality control instructions accordingly. In other words, the solution of this invention eliminates false alarms due to environmental thermal hysteresis, accurately assesses the comprehensive impact of temperature and humidity coupling on microbial activity, and achieves dynamic and precise control.

This invention discloses a three-dimensional model-driven spraying path planning method for liquid hydrogen pumps, relating to the field of liquid hydrogen pump spraying path planning technology. The method obtains a three-dimensional model of the liquid hydrogen pump component to be sprayed and performs a spraying-specific reconstruction, constructs a spraying state unit and a spraying constraint model, and uses deposition consistency experts, boundary balance experts, cross-section conservation experts, thermal hysteresis experts, reachability attitude experts, and respraying timing experts to constrain candidate spraying actions. The film thickness change is mapped to thickness gradient residual, boundary imbalance residual, cross-section encroachment residual, and thermal hysteresis residual. After being updated by the consistency step and the prior step, the residual is written into the execution sequence, and the expert weight initialization data and residual prior data are written back after spraying.