55 results about "Temperature response" patented technology

The invention discloses a method for identifying micro-leakage of a shaft by using distributed temperature gradient sensing data, which comprises the following steps of: acquiring original temperature data of a continuous time sequence of different depths of the shaft through a distributed temperature sensing device, and transmitting the original temperature data to a Modin distributed sensor data processing platform; the platform divides and distributes the data and screens abnormal data; calling a temperature field dynamic evolution prediction algorithm to calculate a predicted temperature value of each depth at each moment; starting a temperature gradient space-time correlation detection algorithm, comparing the predicted temperature with the actual temperature to obtain a deviation sequence, and analyzing and extracting temperature gradient change characteristics; an ultrasonic excitation thermoelastic effect recognition model is applied, ultrasonic excitation is applied, temperature response data are collected, and whether micro leakage exists in the shaft or not and the specific position are determined through comparison and analysis of the incidence relation between the thermoelastic effect and the temperature gradient change. According to the method, an efficient and reliable solution is provided for shaft micro-leakage identification, safe operation of the shaft is guaranteed, and stratum pollution and resource waste are reduced.

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

The invention 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 Ebnite rubber roller production method based on temperature and pressure intelligent regulation and control, and relates to the technical field of rubber roller production, and the method comprises the following steps: constructing a temperature collection credibility function according to a local temperature abnormal distribution matrix, carrying out fitting comparison on the temperature response of each collection point and a target temperature rise curve, and obtaining a target temperature rise curve; and generating a credibility index for judging the credibility of the temperature data, and correcting the judgment logic of temperature acquisition according to the abnormal change of the local temperature under the condition of abnormal heat conduction caused by air resistance in the vulcanization heating process. The problem of temperature control misjudgment caused by abnormal local heat conduction due to formation of air resistance in the vulcanizing and heating process of the Ebnite rubber roller is solved, dynamic identification and self-adaptive regulation and control on abnormal temperature and pressure are realized, sufficient vulcanization, uniform structure and stable performance of each area of the rubber roller are ensured, and the product quality and the service reliability are improved.

The invention provides an intelligent monitoring method and system for an electronic detonator continuous production line. The method comprises the following steps: performing continuous temperature field scanning on the surface of the injection mold to obtain gradient change data; driving a temperature response unit array configured by the mold to execute subarea phase change triggering, absorbing heat of a local overheating area and generating a phase change completion degree quantization parameter; analyzing and positioning a heat-flow density abnormal region by using a thermal resistance network, and performing spatial topological correlation processing to generate a heat-flow density deviation distribution diagram; executing multi-objective optimization on a cooling channel airflow controller to generate a self-adaptive airflow distribution instruction set; and path planning is conducted on the air cooling execution mechanism, and a mold temperature production line regulation and control parameter set is generated. According to the technical scheme provided by the invention, through three-stage cooperation of zoning phase change temperature control, explosive chamber safety association and multi-target airflow optimization, the mold temperature balance control is realized while the thermal shock risk of the detonator charging area is avoided.

The invention provides a power load monitoring data fusion method, device and equipment and a storage medium, and the method comprises the steps: firstly obtaining power load multi-source data containing meteorological elements, and constructing a power physical constraint branch according to the data; a differential equation module is used for modeling a temperature response curve, a delay integral module is used for simulating a rainfall penetration process, and physical rule dynamic weights are generated and set as gating signals. And the gating fusion unit is controlled to output the weight through the signal, so that load monitoring physical rule embedding is realized. According to the method, a power physical constraint branch is constructed, a temperature-power relation and a precipitation hysteresis effect are modeled by a specific module, a dynamic weight driving gating signal is generated, a physical rule is embedded into a fusion model, and the accuracy and generalization of load monitoring are improved.

The invention relates to a photovoltaic energy storage power station intelligent operation and maintenance method and system based on multi-modal data fusion. The method comprises the steps of obtaining current change data corresponding to a current change event; based on the current change data and the thermal characteristic parameters of the photovoltaic module, determining the thermal response characteristics of the photovoltaic module; determining cloud shadow moving characteristics according to the meteorological radar data; based on the cloud shadow movement characteristics and the thermal response characteristics, calculating thermal inertia compensation parameters triggered by the energy storage system in response; according to the thermal inertia compensation parameters and the current change data, generating a theoretical temperature response curve containing response characteristics of the energy storage system; obtaining infrared thermal imaging data considering the photovoltaic module, comparing the time sequence relation of the infrared thermal imaging data with the time sequence relation of the theoretical temperature response curve, and detecting a temperature anomaly event; and carrying out feature analysis on the detected temperature anomaly event, and distinguishing whether the temperature anomaly event is a real hot spot fault or temperature anomaly caused by thermal inertia in combination with a current recovery feature in the current change data.

This application provides an integrated temperature-sensitive thermal barrier protection A2B2O7 ceramic material, its preparation method, and its application, which possesses A... 2‑ a The B2O7:aX material has a general structural formula and a crystal structure that is defective fluorite, pyrochlore, or a mixed two-phase structure. Doping with two or more types of luminescent ions allows for temperature measurement based on the fluorescence intensity ratio of non-thermally coupled energy levels, overcoming the limitations of relative sensitivity in traditional thermally coupled energy level temperature measurement. It utilizes the anti-thermal quenching or low-thermal quenching effects of the luminescent ions to extend the upper limit of temperature measurement, and the different temperature response characteristics of different luminescent ions enhance relative sensitivity. This material can be directly used to prepare a dual-function integrated coating for temperature sensing and thermal barrier protection, eliminating the difficulties of externally mounted sensors, avoiding damage to the coating integrity, and simplifying the complex layout of functional layers. It achieves the integration of thermal barrier protection and high-temperature sensing functions, providing a forward-looking solution for the safety assurance and condition monitoring of components operating in extreme high-temperature environments such as aero-engines and gas turbines.

The invention provides a postpartum fumigation conditioning device for the obstetrics department and a control method of the postpartum fumigation conditioning device. Thermal field gradient tensors of all thermal therapy subareas are constructed through temperature data of all the thermal therapy subareas in a fumigation box, and heat flow distortion distribution in the fumigation box is determined based on all the thermal field gradient tensors; constructing a state transition matrix of heat flow in the fumigation box based on thermodynamic states in steady-state periods in all temperature data in combination with heat flow distortion distribution; generating a characteristic distribution diagram of a steam flow field in the fumigation box according to the point cloud data of the body contour of the puerpera, and determining a dynamic flow field disturbance tolerance of each thermal therapy subarea by combining the characteristic distribution diagram with temperature response curves of disturbance periods in all temperature data; based on the state transition matrix and all the dynamic flow field disturbance tolerances, the power of heaters in all the thermal therapy subareas in the fumigation box is adjusted. According to the scheme, the heat flow coupling relation in the fumigation box can be quantified by combining the physical characteristics of the puerpera and the dynamic characteristics of the steam flow field so as to adaptively adjust the power of the heater.

This application relates to the field of aluminum profile extrusion technology, specifically disclosing a method and system for controlling liquid nitrogen cooling of aluminum profile extrusion dies. The method includes the following steps: continuously collecting multi-source temperature data and operating status data of the extrusion production line within a preset historical period; establishing a mapping relationship between operating status and temperature response, and predicting the operating status change sequence; generating die temperature prediction curves and profile temperature prediction curves based on the operating status change sequence and the mapping relationship; calculating the deviations from the corresponding preset temperature control targets, generating die cooling demand curves and profile cooling demand curves, and adjusting the injection strategy of the liquid nitrogen injection device to perform cooling intervention in advance. The technical solution of this application can calculate the cooling demand curve matching future heat load changes in advance and drive the liquid nitrogen injection device to perform forward-looking flow and mode adjustments, overcoming the response lag problem caused by thermal inertia in traditional control.

The invention belongs to the technical field of pressure detection instruments and meters, and relates to a mechanical differential pressure indicator structure based on temperature response, which comprises a shell made of a non-magnetic material and internally provided with a large cavity and a small cavity which are coaxial and separated; one end of the small cavity is open; a radial through hole is formed in the bottom of the large cavity and is connected with second oil pressure; the large magnetic column assembly is arranged in the large cavity, a lower cover plate is installed at the opening end of the large cavity, and a large spring is arranged between the lower cover plate and the large magnetic column assembly; the small magnetic column assembly is arranged in the small cavity, and a small spring is arranged between the small magnetic column assembly and the bottom of the small cavity; the temperature-sensitive blocking piece assembly is arranged at the end of the small magnetic column assembly, the temperature-sensitive blocking piece assembly axially limits the small magnetic column assembly in the first temperature range, and axial limiting of the temperature-sensitive blocking piece assembly on the small magnetic column assembly disappears in the second temperature range.

This invention discloses a continuous conductivity measurement method and system for a hydrophobic recovery sampling branch under cooling conditions, relating to the field of conductivity measurement. It collects sample water temperature, conductivity electrode internal temperature, and flow rate data during the hydrophobic recovery sampling branch cooling process, establishing a dynamic time series reflecting thermal response lag. Based on the time series characteristics, the electrode temperature response rhythm is adjusted to determine the gradual change zone and extract time nodes to construct a synchronous compensation benchmark. The flow rate rhythm is adjusted in conjunction with the time nodes in the gradual change zone, achieving dynamic temperature alignment through flow delay. Under aligned conditions, the weights of the temperature compensation curve are redistributed, shifting the lagging temperature nodes to instantaneous nodes. The conductivity signal is smoothed based on the compensation results, eliminating instantaneous errors. This invention achieves time synchronization between temperature compensation and the actual sample water temperature through time series and flow rate control, ensuring that the conductivity results accurately reflect water quality changes. Furthermore, continuous smoothing control eliminates instantaneous fluctuations, improving the reliability and accuracy of online monitoring.

The application discloses a kind of based on intelligent self-calibration's aluminum alloy smelting temperature control system, including following module: data acquisition module, for generating heat input and temperature response dataset;Melt equivalent thermal inertia model construction and update module, for constructing melt equivalent thermal inertia model, and carry out online update;Temperature trend prediction module, for generating predicted temperature change trend information;Temperature measurement offset estimation module, for estimating temperature measurement offset based on improved complementary extended state observer, and introduce phase change driven non-uniformity discrimination mechanism, output temperature measurement offset estimator;Self-calibration temperature generation module, for generating self-calibration temperature sequence;Instruction generation module, for generating heating power adjustment instruction;Power execution module, for receiving instruction and adjusting the output power of heating device.The application realizes temperature self-calibration high-precision control by thermal inertia modeling and improved complementary extended state observer.

This invention discloses a protection device for a temperature sensor with rapid temperature response, relating to the field of temperature measurement and equipment protection technology. It addresses the problems of existing sensors in high-temperature, high-pressure, large-diameter pipelines, such as easy damage and detachment due to wind loads, weak sealing and pressure resistance leading to leakage, and delayed temperature response. The protection device includes: a protective sleeve, one end welded to the pipeline with a wall thickness greater than the rest; an opening positioning sleeve installed at the bottom of the protective sleeve, with a guide support hole section contacting the upper part of the sensor armor; an opening sealing plate fixed to the bottom of the opening positioning sleeve, forming a closed annular cavity with the opening positioning sleeve to accommodate the sensor's temperature-sensing head and collect any detached material; a venting structure formed on the opening positioning sleeve and the opening sealing plate and communicating with the closed annular cavity; and a double sealing structure located between the sensor and the protective sleeve. This invention can be used for the protection of temperature sensors in high-temperature, high-pressure, large-diameter pipelines.

The invention discloses production detection equipment for a high-precision temperature sensor, and relates to the technical field of sensor production, the production detection equipment comprises a test board, a control table is installed on the side portion of the test board, the production detection equipment further comprises an installation mechanism, the installation mechanism comprises a connecting table, and the connecting table is fixedly connected to the top of the test board; a first electric rod is installed at the bottom of the connecting table, the output end of the first electric rod is fixedly connected with a fixing disc and a limiting disc, and the limiting disc is located below the fixing disc. According to the invention, the test mechanism is arranged, and the temperature measuring disc is driven to move up and down and rotate by lifting the rotating assembly, so that the temperature sensor can be in contact fit with the test bins with different temperatures on the temperature measuring disc one by one, and the temperature accuracy of the temperature sensor is tested; when the temperature sensor is tested by the test bins with different temperatures, the timeliness of the response feedback of the temperature sensor to the temperature is improved, and the efficiency of detecting the performance of the temperature sensor is greatly improved.

The invention discloses a graphite material aluminum casting mold meeting a temperature control strategy and a manufacturing method, and relates to the technical field of metal forming, the graphite material aluminum casting mold comprises a mold main body, a temperature measuring system, a cooling measure, a heating measure and a central control system; wherein the mold body is made of an isostatic pressing graphite material, and the temperature measuring system comprises a plurality of temperature measuring points distributed in the mold body and used for collecting temperature-time curves of all positions of the mold body in the casting process in real time; the cooling measure and the heating measure are distributed in the mold main body corresponding to the temperature measuring points; the central control system receives data collected by the temperature measuring system, compares a temperature-time curve with a preset target curve, controls opening and closing of a cooling measure or a heating measure at a corresponding position according to a comparison result, and adjusts the strength of the cooling measure or the heating measure based on the temperature-time curve and a qualified temperature interval. The mold has the advantages of being high in heat transfer efficiency, fast in temperature response and accurate in regulation and control.

The invention relates to the technical field of power equipment fault diagnosis, in particular to a power equipment infrared fault diagnosis method combined with image recognition, which comprises the following steps: S1, acquiring a multi-source synchronous data stream of target power equipment in a first diagnosis period; s2, on the basis of the response relation of the infrared thermal image sequence in the multi-source synchronous data stream to the environmental parameter change, generating a structural feature map of the equipment; s3, constructing a thermal behavior image of the equipment based on the structural feature map and the infrared thermal image sequence, and deducing a theoretical reference thermal state of the equipment based on the thermal behavior image and the current environmental parameters; and S4, by comparing the real-time thermal image with the theoretical reference thermal state and carrying out anomaly tracing, positioning and generating a thermal anomaly source. The natural fluctuation of natural environment parameters is used as an excitation signal, the temperature response difference of each spatial position on the surface of the equipment to the excitation signal is analyzed, the problem that a pain point of stock equipment is difficult to diagnose due to lack of design data is effectively solved, and the threshold and cost of technology popularization are reduced.

A device according to the present disclosure comprises: an irradiation unit that is provided with a light-emitting source and periodically irradiates a sample with light from the light-emitting source to heat the sample; a detection unit that is provided with a detection body facing the sample and detects, via the detection body, the temperature distribution in the sample heated by the irradiation unit; a specifying unit that specifies information about thermal characteristics of the sample on the basis of phase delay calculated by performing lock-in analysis on a temperature response, which is a fluctuation of the temperature distribution detected by the detection unit; and an output unit that is provided with a different detection body from the detection body, detects light irradiated from the light-emitting source via the different detection body, and outputs a reference signal for the lock-in analysis to the specifying unit on the basis of a detection signal of the light.

The present application belongs to the technical field of intelligent monitoring of alloy hot working process, and relates to a data acquisition and feedback system for alloy material working process. The present application synchronously acquires state data and temperature data of the alloy material at a reference frequency through a data acquisition unit, and automatically switches to a diagnostic frequency when the data changes abnormally. A stage judgment unit identifies the working stage according to the state data and working time, and calculates the temperature difference. A regulation and control generation unit calculates the equipment regulation and control amount based on the temperature difference, thermal response parameters and stage planning time. An execution feedback unit executes the control instruction and monitors the temperature response, and triggers a warning when the temperature response continuously deviates. The present application solves the problems of inaccurate temperature control and response lag in the alloy hot working process, realizes real-time intelligent monitoring and self-adaptive regulation and control of the working process, improves the accuracy and stability of temperature control, effectively guarantees the working quality of the alloy material, and enhances the intelligent control level of the hot working process.

This invention relates to the technical field of oven heating temperature control, specifically to a method and system for controlling the heating temperature of an industrial hot air circulating oven. The method includes the following steps: applying a detection signal to the heating component and / or airflow circulation component of the oven; acquiring temperature response information from the output of a single temperature sensor inside the oven; performing feature analysis on the temperature response information to obtain the oven's response characteristics to the detection signal; comparing the response characteristics with a preset reference mode to infer the heat distribution and airflow organization state inside the oven; adjusting the power output of the heating component and / or the operating parameters of the airflow circulation component based on the inferred heat distribution and airflow organization state; and, in continuous production mode, adjusting the initial thermal field inside the oven before material loading based on the inferred heat distribution and airflow organization state. This application can improve the uniformity of material drying and product quality.

The application relates to the technical field of temperature control, and particularly discloses a medicament reaction monitoring method and system based on constant-temperature control, which comprises the following steps: generating a temperature change rate distribution gradient field in the interior of a reaction container and predicting a thermal diffusion trend vector diagram of a next control period according to a detection point data set with space-time characteristics; determining a feedforward decoupling control component based on local extreme points in the thermal diffusion trend vector diagram and real-time temperature values, and taking a difference between a global average temperature and a set target temperature as a main deviation; integrating and adaptively coupling the main deviation to generate a feedback adjustment reference quantity according to a temperature field uniformity index, and preventing overshoot fusion of the feedforward decoupling control component and the feedback adjustment reference quantity to generate a comprehensive driving instruction; and the application effectively solves the problems of temperature response lag, overshoot oscillation and poor adaptability to temperature field distribution changes, and improves the temperature control precision and stability of a medicament reaction process.

The invention belongs to the technical field of alloy hot working process intelligent monitoring, and relates to an alloy material processing process data acquisition and feedback system. The state data and the temperature data of the alloy material are synchronously acquired by the data acquisition unit at the reference frequency, and the diagnosis-level frequency is automatically switched when the data change is exceptional; the stage judgment unit recognizes the machining stage according to the state data and the machining time and calculates the temperature difference; the regulation and control generation unit calculates the equipment regulation and control quantity based on the temperature difference, the thermal response parameter and the stage plan time; and the execution feedback unit executes the control instruction, monitors temperature response and triggers early warning during continuous deviation. The problems of inaccurate temperature control and response lag in the alloy hot working process are solved, real-time intelligent monitoring and self-adaptive regulation and control in the machining process are achieved, the accuracy and stability of temperature control are improved, the machining quality of alloy materials is effectively guaranteed, and the intelligent control level of the hot working process is enhanced.

The utility model discloses a temperature measuring device for the side wall of an end of an electrolytic bath, and relates to the technical field of electrolytic baths. The temperature measuring mechanism is fixed to the top of the electrolytic bath and comprises a moving assembly fixed to the top of the electrolytic bath, an adjusting assembly is fixed to the moving assembly, a fixing plate is fixed to the adjusting assembly, a temperature sensor is installed on the fixing plate, a driving part is installed on the fixing plate and the adjusting assembly, and a brush frame is fixed to the lower end of the driving part; a rail is arranged on one side of the moving assembly and matched with the driving part, and a stirring paddle is fixed to the outer surface of the brush frame. Under the cooperation of the moving assembly, the adjusting assembly, the fixing plate, the driving piece, the brush frame and the track, multi-point temperature capture of the sensor can be achieved, the overall temperature field distribution of the side wall can be better reflected, the sensor can be cleaned, the situation that impurities which are soaked in electrolyte for a long time deposit and cover the surface of the sensor is reduced, and the service life of the sensor is prolonged. And the temperature response sensitivity is ensured.

The present application relates to the technical field of power equipment fault diagnosis, in particular to an infrared fault diagnosis method of power equipment combined with image recognition, comprising: S1, obtaining multi-source synchronous data flow of a target power equipment in a first diagnosis period; S2, generating a structural feature map of the equipment based on the response relationship of the infrared thermal image sequence in the multi-source synchronous data flow to the change of the environmental parameters; S3, constructing a thermal behavior image of the equipment based on the structural feature map and the infrared thermal image sequence, deducing the theoretical benchmark thermal state of the equipment based on the thermal behavior image and the current environmental parameters; S4, locating the thermal abnormal source by comparing the real-time thermal image with the theoretical benchmark thermal state and performing abnormal backtracking. By taking the natural fluctuation of the natural environmental parameters as an excitation signal, the temperature response difference of each spatial position on the surface of the equipment to the excitation signal is analyzed, effectively solving the pain point that the stock equipment is difficult to implement diagnosis due to the lack of design data, and reducing the threshold and cost of technology popularization.

The invention relates to the technical field of abnormity monitoring, in particular to a temperature abnormity monitoring system for an aluminum-based silicon carbide ultrathin reflector machining area. The method comprises the following steps: a thermal imaging sensing acquisition and processing unit performs continuous thermal imaging acquisition on a processing area of the aluminum-based silicon carbide ultrathin reflector and outputs a temperature field; and the processing area self-adaptive positioning unit calculates a temperature space gradient based on the temperature field, identifies a processing area under the thermal action of the grinding tool and the workpiece by combining a temperature space gradient threshold value and a minimum communication area threshold value, and outputs a processing area space mask at the same time. According to the method, a curvature sensing directional radiation correction mechanism based on second-order change of a temperature field and a thermal load transfer mode two-channel modeling method are introduced, and on the premise of not depending on an external geometric model or cooling parameters, a real machining area is accurately recognized, and a reference temperature response model conforming to a physical mechanism is constructed.

The present disclosure relates to a current measurement system and method that uses a rate of change of current sensor, such as a Rogowski Coil. The system comprises a rate of change of current sensor and a coupled measurement circuit. A temperature response of at least part of the signal processing circuitry is set so as to reduce or eliminate changes in the signal gain of the system caused by temperature changes.

The invention relates to a flow sensor for measuring at least one flow parameter of a fluid. The flow sensor comprises a substrate and a thermal sensor, comprising a heating element for providing a thermal field and comprising a sensor component for detecting a temperature response of the thermal sensor depending on an influence of the flowing fluid on the thermal field. The sensor component comprises one or more thermocouples, the one or more thermocouples being positioned in a flow direction of the fluid for a differential temperature measurement. The invention further relates to a flow sensor arrangement, to a system comprising the flow sensor or the flow sensor arrangement and a fluid line, and to the use of the flow sensor.

The invention provides a submarine cable burial depth monitoring method, a program product and electronic equipment. The submarine cable burial depth monitoring method comprises the following steps: acquiring load data and temperature data of a to-be-measured space point in a first submarine cable in at least one load change process; obtaining a load characteristic value based on the load data; obtaining a temperature response characteristic value based on the temperature data; obtaining a feature set of the spatial point to be measured according to the load feature value and the temperature response feature value; and inputting the feature set into a burial depth monitoring model to obtain burial depth data of the to-be-measured spatial point. The burial depth monitoring model is used for reasoning the feature set to obtain the burial depth data of the to-be-measured space point, and the heat dissipation condition does not need to be calculated, so that errors caused by parameter estimation in the calculation are reduced, a large amount of grid calculation is avoided, calculation resources are saved, the burial depth measurement complexity of the submarine cable is reduced, and the calculation time consumption is reduced; and the burial depth measuring and calculating efficiency is improved. And the mode is lower in use threshold and convenient to operate.

The present application relates to the technical field of intelligent control of equipment, and discloses an atmosphere mesh belt furnace production management method and system, the method comprising collecting real-time temperature sequence, historical temperature sequence and heat transfer parameters, inputting the real-time temperature sequence and the historical temperature sequence into a preset thermodynamic model to obtain a thermal inertia influence coefficient sequence; combining heat conduction delay duration and power response lag period, analyzing to obtain fluctuation amplitude and period of each heating zone; if the fluctuation amplitude exceeds a preset amplitude threshold, an interference coupling matrix is constructed to quantify heat interference strength; the power compensation direction and compensation amount of adjacent zones are determined to generate a preliminary power adjustment vector; temperature deviation is predicted through a preset partition temperature prediction model, heating power control instructions are generated and normalized in combination with the interference coupling matrix to obtain a final power distribution scheme; after driving the actuators of each heating zone, temperature response data is collected, and the deviation is fed back to the initial link to form a closed loop iteration. The method can improve temperature control precision.

This evaluation device comprises: an extraction unit that extracts, from time-series data obtained by measuring the temperature of a control target of a heat source device, an element included in a monitoring section from a prescribed start condition to an end condition of temperature control; an estimation unit that, on the basis of the extracted element, estimates a dead time estimation value of a response of the temperature with respect to the temperature control and a time constant estimation value of a first-order lag response; and an evaluation unit that creates evaluation information about the heat source device based on at least one of the dead time estimation value and the time constant estimation value.