2162 results about "Temperature difference" patented technology

The invention relates to the technical field of computer hardware monitoring, in particular to a case internal temperature intelligent monitoring system which comprises a temperature acquisition synchronization module, an environment difference analysis module, a cold control response judgment module, a heat source positioning recognition module and an energy consumption load evaluation module. According to the invention, by performing uniform timestamp sorting and collection on the temperature data at different positions, the time consistency of multi-node temperature information is improved, high-precision dynamic tracking of temperature change is realized, the timeliness and integrity of a time sequence are ensured, and the accuracy of the temperature change is improved. The temperature difference between the nodes and the environment and the time distribution characteristics of the nodes support accurate identification and positioning of thermal anomalies, fan response opportunities are judged according to the peak value and fluctuation rate of the temperature difference, fan numbers and control paths are calibrated, the pertinence of response is enhanced, and the core position of a heat source is positioned through temperature difference space comparison of adjacent nodes. The fan rotating speed and current load change analysis establishes dynamic association between a heat source and energy consumption, and thermal anomaly and energy efficiency trend evaluation is realized.

The invention relates to the technical field of industrial control systems, in particular to a PET extruder multi-zone intelligent temperature regulation and control system, which comprises a temperature field parameter acquisition module for acquiring the input power, the real-time temperature value, the temperature change rate value and the temperature difference value between adjacent temperature zones of an extruder to obtain a temperature zone associated state set; and summarizing and mapping the temperature zone association state set, and establishing temperature field response characteristics. According to the method, through correlation analysis of the temperature states of the multiple areas, independent adjustment of a single area is upgraded to dynamic optimization based on the thermodynamic coupling relation, and the coordination of temperature adjustment of the multiple areas is improved. Dynamic parameters required by temperature regulation and control can be calculated in real time in combination with the heat transfer rate, the temperature response delay time and the temperature response gain coefficient of the temperature interval instead of depending on a fixed set value, different operation working conditions are adapted, and the regulation and control flexibility is improved.

The invention provides a dissimilar material crystallization welding control method based on microwave energy distribution, which comprises the following steps: acquiring a high-density temperature map of a to-be-welded workpiece through a fiber grating array, and acquiring a real-time temperature value from a dissimilar material interface edge to a central area of the to-be-welded workpiece to obtain initial temperature distribution; calculating a temperature difference value between the edge and the central area, identifying a local overheat point position by comparing a temperature gradient or setting a temperature difference threshold value, and comparing the overheat point temperature with a preset material overheat threshold value to judge whether an overheat area exists or not; if the temperature difference value exceeds a temperature difference threshold value or a local overheating area exists, extracting space coordinates of a low-temperature area and a high-temperature area from the high-density temperature map, and identifying an energy distribution target area needing to be adjusted; and extracting temperature distribution from the updated energy distribution diagram, analyzing a temperature gradient to identify a heating power concentration region, and calculating to obtain a target stress distribution state in combination with the heating power concentration region.

The invention provides an indoor environment monitoring method and system integrating temperature and humidity, and is applied to the field of sensing data processing. According to the method, the reading difference of the temperature sensor is collected, whether local deviation exists or not is judged, the arrangement type of the sensor is combined, a low temperature value generated by the wall-leaning sensor due to the cold bridge effect is dynamically compensated, misjudgment of an environment system is avoided, and the human body temperature is introduced as a sensing reference by constructing a temperature difference deviation function. According to the method, comprehensive temperature indexes closer to real experience can be generated, when abnormal fluctuation is detected, the space structure and heat source information are further combined, boundary conditions are constructed, dynamic heat flow and temperature and humidity distribution diagrams are simulated, temperature sensing deviation is effectively and reversely corrected, the precision, stability and energy-saving performance of an environment adjusting system are remarkably improved, and the comfort degree of a human body is improved.

The invention relates to the technical field of automatic control, in particular to an efficient magnetic suspension water chilling unit control system which comprises a refrigerant flow monitoring module, a dynamic flow adjusting module, a start-stop delay judging module, a temperature gradient sensing module and a frequency self-adaptive adjusting module. According to the method, the temperature difference curve is established through real-time monitoring data, the refrigerant flow synchronism is analyzed, temperature difference abnormity can be accurately recognized, the refrigerant adjusting requirement is extracted, traditional threshold value judgment lag is avoided, the refrigerant flow is controlled in real time, fluctuation impact is buffered, and the adjusting precision is improved by dynamically adjusting the opening degree of the electronic expansion valve and the rotating speed of the circulating pump; the method has the advantages that starting and stopping conditions are accurately judged, misoperation is reduced, early positioning of thermal imbalance is achieved through temperature difference sensing of an evaporator, a compression cavity and a condenser and establishment of an internal temperature difference distribution diagram, energy efficiency reduction is avoided, the frequency of a frequency converter is adjusted according to temperature difference distribution, the optimal load is matched, frequency adaptivity and system load response are improved, and refrigeration cycle energy efficiency is optimized.

The invention discloses a hydration heat monitoring and dynamic regulation and control method and system in a mass concrete pouring process, and relates to the technical field of concrete pouring, and the method comprises the steps: pre-burying a plurality of dual-mode temperature measurement probes in concrete, collecting dual-mode temperature field data in the concrete in real time, and synchronously collecting environmental parameters; carrying out preprocessing, dynamic weight distribution and data fusion on the obtained dual-mode temperature field data; according to the unsteady state heat transfer equation and the hydration heat model, a finite element heat conduction model is constructed, and the total hydration heat and the temperature difference trend are inverted through actually measured temperature field data; predicting a concrete core and surface temperature difference and a surface and environment temperature difference in a future set time period by combining an LSTM neural network model; and according to the predicted temperature difference result, the cooling water flow rate and the cooling water temperature are subjected to closed-loop regulation. Through the combination of dual-mode sensor temperature measurement and heat inversion, the hydration heat temperature difference in the concrete can be predicted in advance, a cooling scheme is regulated and controlled in real time in a linkage mode, and temperature stress cracks are avoided.

The mass concrete curing method based on the intelligent temperature control system comprises the following steps that concrete is divided into a top layer, a bottom layer and a middle layer, each layer is provided with an independent temperature control pipeline, and temperature monitoring points are designed; constructing a three-dimensional thermal field finite element model containing a hydration heat release function, temperature control pipeline heat sink and boundary conditions, and generating data by using a calculation result of the finite element model to train a neural network prediction model; a temperature control pipeline and a temperature monitoring point are installed before mass concrete is poured, and heat preservation is covered after pouring; data is collected in real time and input into the prediction model, the predicted temperature of each temperature monitoring point is output, if the temperature difference control threshold value or the temperature reduction control threshold value is exceeded, temperature control pipeline parameters and heat preservation measures of the corresponding layer are adjusted, and a temperature control strategy is executed after calculation is repeated till the requirement is met. The concrete temperature field is accurately controlled, temperature difference over-limit is effectively avoided, and the mass concrete curing quality is improved.

The invention relates to the technical field of medical cyclotrons, in particular to a medical cyclotron magnetic field intensity adjusting method based on temperature compensation, and the method comprises the following steps: in the process of adjusting the magnetic field intensity of a main magnet based on temperature information, obtaining a temperature variation threshold: collecting the temperature on the surface of the main magnet in real time; determining a temperature difference coefficient, a temperature anomalous coefficient, a temperature abnormal coefficient and a trend approximate value of each acquisition moment; comprehensively analyzing the temperature values acquired by all the sensors, and determining the temperature difference degree and difference factor of each sensor at each acquisition moment; determining the avoiding adjustment value of each sensor at each acquisition moment; and acquiring a temperature variation threshold value at each acquisition moment. The invention aims to solve the problem that the magnetic field intensity of the cyclotron cannot be adjusted according to the actual environment temperature, so that the beam stability and the beam extraction efficiency in the operation process of the medical cyclotron are improved.

The invention discloses a cold station multi-equipment combination energy efficiency optimization method and system, relates to the field of cold station energy efficiency optimization, and aims to solve the problems of low energy efficiency and response lag caused by manual adjustment. The method comprises the following steps: S1, acquiring key operation data (power, state, temperature, flow and frequency) of a water chilling unit, a cooling tower and a water pump and external environment data (temperature and humidity, wind speed and load prediction) in real time; s2, constructing an equipment energy efficiency model based on historical data, and quantifying the change of the equipment efficiency along with the load rate, the temperature difference and the environment temperature; s3, according to the current load and environment prediction, simulating and traversing the energy consumption of the equipment start-stop combination and the water pump frequency combination by applying a Monte Carlo algorithm, and screening a combination strategy with the lowest total energy consumption of the system; s4, converting the optimization strategy into a control instruction, and issuing the control instruction to equipment for execution; and S5, comparing the actual energy consumption with the predicted value, and if the deviation exceeds 5%, correcting model parameters by adopting a least square regression algorithm to realize closed-loop optimization. And the energy efficiency and the response speed of the cold station are obviously improved.

The invention relates to a body weight measuring method and device with automatic calibration and temperature compensation functions, and the method comprises the steps: synchronously obtaining the surface temperature and environment temperature data of a bearing structure through a temperature sensor array; calculating a current temperature difference value between the surface temperature and the environment temperature, generating a control signal when the current temperature difference value exceeds a material thermal deformation threshold value, and calculating a surface temperature change rate; selecting a compensation mode according to the compensation control signal and the surface temperature change rate, starting a compensation process based on a closed loop verification mechanism, and correcting the original weighing value according to a temperature-drift relational database to generate preliminary compensation data; when the calculated accumulated temperature impact value reaches a set threshold value, triggering a parameter self-updating operation to obtain final weighing data; and outputting final weighing data with temperature credibility rating to an interactive interface so as to solve the problems of error accumulation and manual intervention dependence caused by temperature fluctuation in a traditional scheme.

The invention provides a bridge built-in multi-dimensional self-adaptive tuning vibration reduction and monitoring device based on air energy. The bridge built-in multi-dimensional self-adaptive tuning vibration reduction and monitoring device mainly comprises a bridge health monitoring system, an air energy device, a steel plate spring, a belleville spring, an electromagnetic damper, a hydraulic damper, a hydraulic displacement amplification mechanism and an actuator. The bridge health monitoring system is used for monitoring and analyzing the state of a bridge in real time, finding potential structural problems in time and driving the tuning vibration reduction device to respond according to the monitored vibration and temperature conditions to achieve self-adaptive control over bridge vibration, and the air energy device uses the quality characteristic of the air energy device as a mass block of the tuning vibration reduction device to achieve self-adaptive control over bridge vibration. The damping device plays a key role in vibration reduction, can provide temperature and humidity control for stable operation of a bridge and a monitoring system, and is matched with a spring, a damping system, a hydraulic displacement amplifying mechanism and an actuator to effectively control multi-directional complex vibration of the bridge, adjust the temperature difference between the inside and the outside of the bridge and prolong the service life of the bridge.

The invention relates to the technical field of refrigeration house anomaly detection, in particular to a refrigeration house operation anomaly detection system based on a big data technology. The system comprises a regulation and control unit, a refrigeration house state monitoring unit and a temperature detection unit. According to the invention, the temperature detection module is used for detecting the temperature of each position in the refrigeration house, and the temperature loss abnormity judgment module is used for calculating the temperature difference data in the refrigeration house, so that whether the temperature in the refrigeration house loses temperature or not is calculated; meanwhile, when the temperature loss abnormity judgment module judges that the difference data of the temperature exceeds an abnormal threshold value, the difference data is fed back to the door opening and closing detection module, so that the door opening and closing detection module transmits the opening and closing conditions of a door of the refrigeration house to the temperature loss abnormity judgment module, and the temperature loss abnormity judgment module judges what reason the temperature loss occurs; and when the door of the refrigeration house is closed, feedback is carried out to the warning judgment module, so that the warning judgment module gives out a warning, and an operator can conveniently overhaul the refrigeration house in time.

The invention provides a charging pile supporting multi-point automatic cooling, and belongs to the technical field of charging piles, and the charging pile comprises a main control module, a temperature acquisition module, a current acquisition module, a pressure detection module, a heat dissipation control module, a communication module, a storage module, a display module and a power management module. A system control module arranged in a main control module firstly acquires temperature data of each point of a charging pile through a temperature acquisition module, constructs a temperature difference matrix and performs matrix decomposition to obtain a temperature space basis matrix and a time characteristic matrix; then, a dynamic convolution kernel is generated based on the characteristic value of the temperature space basis matrix, a temperature characteristic extraction network is constructed, and accurate extraction of temperature characteristics is realized. And the system further establishes a thermodynamic state equation set, the heat dissipation power is accurately calculated and controlled in combination with a temperature difference change coefficient matrix, and finally accurate regulation and control of multi-point temperature are achieved.

The invention provides an XLPE cable aging-based mixed operation system impedance mismatch and imbalance characteristic analysis method, equipment and a medium, and belongs to the technical field of cable aging analysis. Equivalence simplification is performed on a power grid in a simulation system, switching stations and transformer substations are reserved, and a cable structure model is constructed; cable structure parameters are obtained, three-phase unbalanced current-carrying simulation conditions are set, operation parameters are obtained, a cable finite element thermal field analysis model is constructed, cable thermal field analysis data are input, and cable burying depth and surrounding parameters are set; comparing and analyzing the temperature distribution difference, acquiring temperature data of the inner and outer surfaces of the insulating layer, and calculating an average temperature difference value of the insulating layer under the two working conditions; based on the average temperature difference value, the influence degree of the single-phase power-on working condition on the cable insulation life compared with the symmetrical operation working condition is quantified. And according to an evaluation result, a more reasonable cable maintenance plan and replacement period are formulated, faults caused by insulation aging are prevented in advance, and safe and reliable operation of a power system is guaranteed.

The invention discloses a high-temperature surface contact thermal resistance elimination method based on double thermocouple compensation, and belongs to the technical field of material thermal property characterization and testing. The method comprises the following steps: synchronously acquiring double-thermocouple temperature, and obtaining a temperature difference signal through filtering calibration and environment correction; calculating the real-time heat flux density according to the corrected temperature difference, the Seebeck coefficient and the dynamic correction factor; establishing a nonlinear dynamic coupling model containing contact thermal resistance parameters, and performing temperature interval division; identifying a contact thermal resistance parameter on line by adopting a self-adaptive recursive least square algorithm, and generating a dynamic thermal resistance compensation value; and applying the compensation value to a double-thermocouple signal according to the weight, and outputting accurate high-temperature surface temperature. According to the method, data acquisition and preprocessing, dynamic heat flow correction, nonlinear segmented modeling, self-adaptive online identification and refined compensation output strategies are adopted, the influence of high-temperature surface contact thermal resistance can be effectively eliminated, and the accuracy and reliability of temperature measurement in the high-temperature environment are remarkably improved.

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 relates to the technical field of pipeline detection, in particular to an infrared thermal imaging full-dimensional monitoring method for corrosion of a pipeline under a thermal insulation layer, which comprises the following steps of: acquiring temperature distribution under the thermal insulation layer and screening measuring points with consistent directions, extracting a boundary continuous region to calculate thermal probability, identifying abnormal measuring points and extracting time sequence characteristics, and predicting and marking response delay measuring points based on a model. And generating a CUI risk region division result. According to the method, a temperature difference direction consistency identification mechanism is constructed through space sequence subdivision and heat flow direction trend judgment of pipeline surface temperature distribution data, a measurement point set with clear space heat conduction characteristics is obtained through continuous screening, and a gradient change rate local extreme value is further taken as an identification basis; the method comprises the following steps: constructing a thermal anomaly probability evaluation parameter by combining spatial density and change intensity to realize preliminary identification of an abnormal point, then introducing a time sequence temperature parameter to construct a multi-dimensional dynamic feature set, and completing multi-step temperature prediction through normalized combination calculation after model training.

The invention relates to the technical field of fault equipment detection, and discloses a power equipment fault detection method and system based on high-precision temperature measurement, and the method comprises the steps: scanning the surface temperature of power equipment through a high-precision temperature measurement device, obtaining a temperature distribution image, processing the temperature distribution image, and obtaining a temperature distribution matrix; carrying out gradient analysis and temperature difference identification on the temperature distribution matrix to obtain a hot spot candidate area; performing clustering analysis on the hot spot candidate region to obtain an initial hot spot region, and generating a static boundary by adopting a boundary tracking algorithm; correcting the static boundary according to the temperature change of each boundary point to obtain a hot spot area; and performing fault risk assessment according to the load data of the power equipment and the temperature data of the hot spot area. According to the invention, through temperature data analysis and region boundary correction, the hot spot region can be accurately identified, and in combination with a machine learning algorithm, the accuracy of power equipment fault risk assessment is improved, and safe and stable operation of a power system is ensured.

The invention relates to the technical field of data processing, and provides a multi-mode water-cooling heat dissipation system and method.The thermal load urgency degree is generated by obtaining the temperature change rate and the thermal power density of a component in real time, the running state of the component is monitored, and a user scene identifier is output; comparing the temperature difference value of the cooling liquid at the inlet and outlet of the radiator with the cooling liquid flow to estimate the instantaneous heat dissipating capacity; predicting a temperature change track based on the thermal load urgency degree and the user scene identifier, calibrating the temperature change track in combination with the instantaneous heat dissipation amount, determining a candidate mode set and an optimization weight through the user scene identifier, and selecting a target heat dissipation mode; temperature distribution of different areas of the radiator is obtained according to the target heat dissipation mode so as to distribute the target rotating speed of the fan, respond to the local high heat load, control the multi-way valve to dynamically adjust the topological structure of the cooling liquid flowing path and distribute the cooling liquid flow, and deep cooperation of the fan and the cooling liquid is achieved.

The invention provides a multi-temperature-zone temperature control system optimization method based on a gradient algorithm and segmented control, and the method comprises the steps: building a temperature control prediction model of each temperature zone through the gradient algorithm based on the thermal response characteristics of multiple temperature zones, determining a heat transfer path based on the predicted temperature data determined by the temperature control prediction model, and carrying out the optimization of the multi-temperature-zone temperature control system based on the thermal response characteristics of the multiple temperature zones. A temperature control process is divided into a plurality of stages, a corresponding stage temperature control strategy is established based on temperature control characteristics of each stage, optimal system precision is ensured through optimization and segmented control strategies based on a gradient algorithm, the stage temperature control strategies are optimized based on temperature difference between real-time temperature data and predicted temperature data, and the optimal system precision is ensured. The system can feed back and adjust the control parameters in real time, collect the actual temperature data at the end of each stage of the multiple temperature zones, optimize the heat transfer path based on the actual temperature data, and improve the energy efficiency of the whole temperature control system by optimizing the heat transfer path.

The invention relates to a mass concrete hydration heat internal and external temperature difference and temperature strain prediction method, which is based on a hydration reaction of a concrete cementing material, through observation records of parameters such as concrete mold entering temperature, environment temperature and center temperature, a function relationship between the parameters and a pouring area temperature is established, and through a function model, an overall temperature field is predicted. Forming an internal and external temperature difference prediction model, and outputting an internal and external temperature difference; and in combination with concrete strain records, establishing a relation function of temperature and strain, forming a concrete hydration heat temperature-strain prediction model, and outputting a strain prediction result. The problem of hydration heat of mass concrete pouring construction puzzling major engineering can be solved. The problems of internal damage and surface cracking of the concrete due to overlarge internal and external temperature difference and temperature strain exceeding the initial tensile strain of the concrete caused by low concrete strength, poor bonding force of gravel aggregate, centralized hydration of a large amount of cement, and easy generation of adiabatic temperature rise in the initial stage of pouring are solved.

The invention relates to a cavity temperature uniformity control method and device and cooking equipment, the cavity comprises an inner wall extending in the width direction and the height direction, a plurality of fans and a plurality of heating devices are arranged on the inner wall in a matrix mode, and the cavity is further provided with a temperature monitoring device. The method comprises the following steps: dividing the cavity into a plurality of areas based on the row number and the column number of the matrix and the depth of the cavity, and obtaining the three-dimensional coordinates of the areas; acquiring the actual temperature of each area based on the temperature monitoring device; subtracting the actual temperature of each area from a preset temperature to obtain a temperature difference value of each area; if the temperature difference value of one or more target areas exceeds the preset temperature difference range, the output power or turn-off of the fans and the heating devices corresponding to the target areas is adjusted based on the three-dimensional coordinates and the temperature difference values of the target areas, and the problem that the temperature difference of different areas in the cavity of the steaming oven is large is solved.

The invention discloses a temperature control system of a stainless steel welded steel pipe heat treatment furnace, which belongs to the technical field of stainless steel heat treatment, and specifically comprises a temperature sensor used for measuring the temperature in the heat treatment furnace in real time and outputting a temperature signal; the data acquisition module is used for converting the temperature signal into a digital signal; the controller is used for receiving the digital signal, calculating a temperature difference value between an actual temperature and a set temperature in the heat treatment furnace and calculating a heat difference value according to the temperature difference value, and the controller screens parameters representing the aging degree of the equipment and stores a prediction model of the parameter relationship between the heat deviation and the aging degree of the equipment; the controller calculates a heat deviation value of the heat treatment furnace according to the prediction model; the controller adjusts a control signal output to the heating device according to the heat deviation and adjusts the heating power of the heat treatment furnace; and the visual interface is used for setting the stainless steel process type and the heating power and displaying the real-time temperature and the system working state.

The invention discloses a heat supply pipe network line anomaly judgment method based on temperature and pressure detection, and relates to the technical field of pipeline anomaly detection, and the method comprises the following steps: S1, scanning a two-dimensional code of a to-be-detected point, and reading equipment information of the to-be-detected point; s2, reading real-time temperature data and real-time pressure data measured by a built-in sensor of a point to be detected; s3, analyzing a reasonable temperature difference value between the pipeline branch where the to-be-detected point is located and the heat source by acquiring environmental data of the to-be-detected point; s4, analyzing a reasonable pressure difference value between the pipeline branch where the to-be-detected point is located and the heat source by acquiring terrain data of the to-be-detected point; and S5, according to the detected points in the distribution diagram of the heat supply network, verifying the abnormity judgment result of the current pipeline branch, and after the verification is passed, marking the abnormity information of the pipeline branch. Real-time temperature and pressure data are collected, and dynamic analysis is performed according to a set sampling period, so that the real-time performance and accuracy of a monitoring result are ensured.

The invention relates to the technical field of task scheduling, in particular to a task scheduling optimization system for a smelting process, which comprises a furnace temperature identification module, a hot load analysis module, a load screening module, a sorting regulation and control module and a task joint control module. According to the method, a stable operation section is screened based on thermocouple time sequence temperature difference fluctuation characteristics, task identification is ensured to be in tight fit with a real metallurgical process state, furnace profile thermal parameters and raw material attributes are introduced to dynamically estimate task thermal loads, and the heat adaptation relation between tasks and equipment is determined; safety load interval limitation is set in the screening task and furnace body combination process, the safety and matching precision of resource allocation are improved, meanwhile, cooling period limitation is embedded in task sorting to recognize delay tasks, scheduling continuity and task connection reasonability are enhanced, the capacity of a scheduling strategy for responding to actual operation constraints is improved, and the service life of the scheduling strategy is prolonged. The overall optimization of accurate task screening, reasonable load distribution and ordered scheduling sequence is realized.

The invention relates to a method for detecting surface cracks of a steel rail, which comprises the following steps of: controlling the environmental temperature difference change of the steel rail to enable thermal response to generate a hysteresis phenomenon, inducing slight asynchronous thermal fluctuation with discontinuous and asymmetric thermal diffusion in a local area of a material surface layer, and exposing a potential crack boundary; non-contact low-intensity laser thermal disturbance multi-angle scanning is used for executing a disturbance penetration test, non-structural thermal anomalies are removed, and a real crack area is determined; carrying out attenuation curve recording on the thermal response after multiple rounds of disturbance excitation, and reversely deducing the integrity degree of the microstructure below the crack according to the disturbance settlement time so as to judge the structural fatigue grade; environmental steady state comparison is carried out on the same detection area, through comparison of temperature and humidity, wind speed and radiation environment parameter changes before and after disturbance, if the crack area still continuously shows thermal response abnormity under a constant environment condition, it is confirmed that the thermal characteristic is caused by a structural crack, and otherwise, misjudgment caused by external accidental interference is eliminated.

A method for detecting foot and lower limb health changes includes collecting a first and second temperature reading at each time point over a time window, from a first and second plantar location on a user's body. The method further includes determining a temperature offset and applying the temperature offset to the first and second series of temperature readings to yield a first and second series of offset temperature data. Irrelevant offset temperature data is identified and removed from the first and second series of offset temperature data to yield a first and second series of processed temperature data. A temperature difference at each time point in the time window is determined by comparing the temperature readings or processed temperature data and a foot health change flag is generated if the average of the temperature differences over the time period exceeds a foot health change threshold.

The invention relates to the technical field of automatic control, in particular to a medical plastic tube stretching reducing equipment control method and system, and the method comprises the following steps: obtaining a heating temperature change trend by using infrared temperature measurement equipment, adjusting heating parameters, adjusting clamping parameters based on compression and rebound deformation quantities, and adjusting the clamping parameters based on the clamping parameters. The thickness uniformity is evaluated, the stretching rate control parameters are adjusted, the cooling temperature difference trend on the two sides is combined, air nozzle and fan adjustment is linked, and a cooling air field adjustment record is obtained. According to the method, the heating abnormal response state is judged in combination with the temperature change rate, heating output parameters are adjusted through the slope trend in the continuous time period, the clamping stability is monitored based on the instantaneous compression and springback difference after the clamp makes contact, the thickness is inversely solved through the multi-channel light intensity, and thickness residual data are established in combination with the difference in all directions in the section. A periodic thickness error change trend is called to identify tensile stability deviation, and a cooling wind direction structure is regulated and controlled by combining the temperature difference change direction of the two sides of the guide pipe cooling stage.

The invention relates to the technical field of engineering, in particular to an intelligent concrete curing system based on temperature and humidity adjustment, and the system comprises an acquisition unit which is used for acquiring coating images of the surface of concrete after pouring at a plurality of time points, and acquiring temperature data of a plurality of positions in the concrete and environment temperature data; the analysis unit determines a dry area and a wet area according to the film covering image, determines a dry-wet ratio change rate, determines a temperature difference change rate according to the position temperature data and the environment temperature data, and determines a water evaporation rate in the concrete according to the dry-wet ratio change rate and the temperature difference change rate; the control unit adjusts the curing temperature according to the water evaporation rate and a preset first evaporation rate, and adjusts the water spraying amount / spraying frequency according to the water evaporation rate and a preset second evaporation rate; and the execution unit is used for curing the concrete according to the adjusted curing parameters. Concrete curing parameters are intelligently controlled, and the concrete curing effect is improved.

A thermal management control method, comprising: S110, acquiring a current temperature value of a medium to be cooled; S120, on the basis of the current temperature value and a target temperature value, determining a current temperature difference of the medium, the current temperature difference being the difference between the current temperature value and the target temperature value; S130, on the basis of the current temperature difference and a temperature regulation model, determining a current target cooling capacity of the medium, wherein the temperature regulation model is obtained after training has been performed on the basis of temperature difference samples and target cooling capacity samples of the medium during adjustment of the current temperature difference; S140, cooling the medium on the basis of the current target cooling capacity; and S150, when the current temperature difference changes, controlling the medium to maintain the current cooling capacity, until the current temperature difference changes to a boundary value in a temperature range corresponding to the current cooling capacity in the temperature regulation model. Further disclosed are a thermal management control system and an operating machine. Repeated adjustment processes can be avoided, solving the problem of overly frequent adjustments in thermal management systems.