1307 results about "Temperature difference" patented technology

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 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 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 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.

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 is suitable for the technical field of concrete pouring, and provides a temperature real-time monitoring method and system for fan foundation concrete pouring, and the method comprises the steps: obtaining the temperature field monitoring data of concrete, building a mapping relation between a plurality of measurement points and a finite difference grid through a space coordinate mapping method according to the space coordinates of the measurement points, and obtaining the temperature field monitoring data of the concrete; generating a mapping table; calculating a temperature difference value between adjacent measuring points in the mapping table, and distributing the temperature difference value to a corresponding three-dimensional grid by using a grid interpolation method to obtain initial temperature difference value distribution data; constructing a three-dimensional temperature gradient tensor field based on the initial temperature difference distribution data by using a high-order difference method, and determining a temperature gradient change trend according to the three-dimensional temperature gradient tensor field; if the temperature gradient change trend is larger than or equal to a preset change trend threshold value, internal thermal stress distribution of the concrete is calculated through a thermal-mechanical coupling model, thermal stress distribution data are obtained, and the internal temperature of the concrete can be accurately monitored in real time.

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

The invention discloses a defrosting control method and device and a heat pump system.The method comprises the steps that S1, a first operation parameter is detected in a defrosting mode, whether a first defrosting condition is met or not is judged, if yes, the defrosting mode continues to be operated, and if not, a heating mode continues to be operated; and S2, in the heating mode, detecting a second operation parameter and whether the second operation parameter meets a second defrosting condition or not, if yes, operating the defrosting mode and returning to the step S1, counting the number of times that the first defrosting condition is not met, and if the number of times that the first defrosting condition is not met exceeds a first preset number of times, controlling the heat pump system to stop and sending out a fault prompt. Whether the heat pump system is abnormal or not is preliminarily judged by detecting the water inlet and outlet temperature difference and the refrigerant inlet and outlet temperature difference of the water side heat exchanger in the defrosting mode, and then the abnormal condition of the heat pump system is further confirmed by combining the water inlet and outlet temperature difference of the water side heat exchanger during operation of the heating mode, so that the abnormal condition can be found in time, defrosting is stopped, and the heating efficiency is improved. And icing or damage of the water side heat exchanger is reduced.

The invention relates to the technical field of concrete curing, in particular to a concrete curing environment control system with intelligent temperature control and humidity adjustment functions. Comprising a data acquisition and storage unit; the regulation and control decision-making unit is used for calculating a deviation value between the current environment and a target maintenance condition through an improved sectional type PID (Proportion Integration Differentiation) regulation algorithm; a temperature and humidity execution unit; and a man-machine interaction unit. According to the invention, through the distributed air temperature and humidity sensor array and the embedded temperature sensor in the concrete, the air temperature and humidity of the curing space and the internal temperature data of the concrete are collected, and the initial setting stage, the final setting stage and the hardening stage are judged based on the internal temperature change rate and the internal surface temperature difference; the PID parameter adjustment interval corresponding to the concrete mark is called in combination with the stage, smooth parameter switching is achieved, in the concrete curing scene, the heat release rate and strength development requirements of different hydration stages can be accurately met, and the situation that a regulation and control strategy is disjointed with the actual concrete curing requirement is avoided.

The invention discloses a temperature difference-deformation decoupling method for thermal expansion coefficient in-situ monitoring, and belongs to the technical field of material physical property testing, and the method comprises the following steps: obtaining high spatial resolution temperature distribution data and full-field deformation data; performing three-dimensional reconstruction on the high-spatial-resolution temperature distribution data to generate dynamic temperature field data; theoretical thermal stress is calculated based on the dynamic temperature field data and the material mechanical parameters, and interference deformation data is generated; a dynamic correction coefficient is introduced to decouple full-field deformation data, and a real thermal expansion deformation field is output; calculating a thermal expansion coefficient based on the real thermal expansion deformation field and the temperature change trend data; and monitoring a uniformity index of a real thermal expansion deformation field, and adjusting a dynamic correction coefficient and a material mechanical parameter on line. According to the method, the temperature field and the deformation field are synchronously collected, thermal stress interference deformation caused by temperature difference is theoretically calculated and eliminated, and a closed-loop feedback optimization mode is combined, so that high-precision dynamic monitoring of the thermal expansion coefficient of the material under the non-uniform temperature condition can be realized.

The invention discloses a measurement and control system of gas heating equipment, which relates to the technical field of equipment measurement and control, and is characterized in that a flow feed-forward control module is used for determining a target mass flow value through a feed-forward compensation processing mechanism according to at least one parameter measured by a sensor measurement module; the temperature control module is used for determining PID control parameters of a cascade PID control structure comprising a main loop and an auxiliary loop according to the temperature parameters measured by the sensor measurement module and a preset temperature difference grading fuzzy PID control rule; and the power control module is used for determining the target heating power according to the target heating rate and the characteristic parameters of the rear-end purging object, and adjusting the heating power of the heater in combination with an anti-integral saturation mechanism configured by the temperature control module and the power control module. By adopting the system, the heating process can be accurately adjusted and quickly responded, and the temperature control stability and the equipment operation efficiency are improved.

The invention relates to the technical field of dew point measurement, in particular to an intelligent temperature control system and method based on a high-precision chilled mirror dew point meter, and the system comprises a chilled mirror temperature difference positioning module, a main signal selection module, a power response matching module, an interference airflow recognition module, and a current output instruction generation module. A cold mirror end temperature difference is obtained, a section and a lifting direction are judged, synchronous measuring points are screened, a minimum deviation signal is extracted, a power section is matched, a power-on instruction is constructed, a rheumatism disturbance level is identified, parameters are spliced to generate a conduction structure, and a cold mirror temperature control instruction is output. According to the method, section identifiers are constructed through temperature differences and temperature change directions, signals are screened based on time alignment, interference is avoided, power control positions section deviation directions through difference values, disturbance identification is combined with wind speed and humidity differences, disturbance levels are refined, power-on control generates time sequence instructions through multi-parameter splicing, instruction stability and control accuracy are improved, and the method is suitable for large-scale popularization and application. And dynamic closing logic is formed.

The invention relates to the technical field, in particular to an unmanned inspection method and system for a switch cabinet, and the method comprises the following steps: building an incidence relation between signal nodes through a graph neural network, improving the time sequence consistency of multi-source signals, enabling instrument reading and temperature and humidity signals to form a hierarchical structure under a unified time frame, and improving the accuracy of inspection. The logic association of state layering is enhanced, continuous sampling sequence features are extracted through a long-short-term memory network, the response sensitivity and time prediction capability to abnormal signal abrupt change are improved, amplitude matching of temperature difference and current signals is achieved under the same time index, early abnormal nodes are accurately recognized, and a dynamic positioning sequence is established. Through joint tradeoff of distance and energy consumption, path lengthens and energy peak values are reduced, task throughput and equipment availability are improved, timing sequence capture and trend judgment capabilities are enhanced in an anomaly recognition layer, and accuracy and continuity of inspection decision and reliability of safety assessment are integrally improved.

The invention discloses a heat treatment process control method and system for a high vacuum furnace, and relates to the technical field of control systems, the interior of the furnace is divided into a plurality of sub-regions based on historical temperature data in the furnace, the initial temperature is decomposed into reference temperature data and temperature gradient data, and the difference between base layer heat treatment data and the target temperature is calculated; obtaining temperature residual data, obtaining the difference between the current temperature of each sub-region and the target temperature, calculating the distance between each sub-region and a heating object by using a distance algorithm, carrying out regulation and control priority ranking on all the sub-regions in combination with the temperature difference and the distance, and selecting a sub-region regulation and control sequence according to a priority ranking result. And regulating and controlling the current temperature of each sub-region according to the temperature residual data and the temperature influence between the sub-regions. According to the control method, the area in the furnace is finely divided, accurate temperature control over each sub-area can be achieved, temperature distribution in the furnace is more uniform, and therefore the heat treatment quality is improved.

A detection method for a retail environment comprises providing a thermal camera in a fixed position relative to a monitoring area within a retail environment, such that a part of a field of view of the thermal camera includes a part of the monitoring area; capturing a series of images of a person in a known duration of time using the thermal camera; identifying, in each image of the series of images, the position of the person using a temperature difference to detect an edge of the person; identifying, in each image of the series of images, at least two of a head, a body, an arm and a hand of the person by detecting temperature gradients within an area bounded by the edge of the person; determining, for each image of the series of images, the position of said person's hand and / or arm relative to the monitoring area; and registering an event when said person's hand and / or arm is within the monitoring area.

The invention relates to the technical field of graphene electric heating floor heating, and discloses a graphene electric heating floor heating intelligent temperature control system and method.The system comprises an area temperature recognition module, an instruction analysis module, an energy consumption division module and the like; the thermal field monitoring module collects basic temperature data, a real-time power curve and thermal imaging data, the energy consumption division module judges the temperature and energy consumption grade, the temperature control strategy module generates a dynamic adjustment strategy according to the grade, and the temperature difference judgment module and the path correction module achieve power correction and path optimization. And the thermal field analysis module is combined with the user terminal to early warn abnormity and visualize thermal imaging data. According to the scheme, regional refined temperature control, dynamic energy consumption management and intelligent path planning are achieved, the heating comfort level and the energy utilization rate are improved, and the method is suitable for intelligent temperature control scenes of graphene electric floor heating.

The invention discloses a hot pressing device with a temperature control structure and a temperature control method, and belongs to the technical field of plywood processing, the hot pressing device comprises a rack, and hot pressing plates are uniformly arranged in the rack. The temperature control mechanism is arranged at the end of the machine frame, in the temperature rising process, according to the temperature difference and air pressure changes of the two ends of the interior of the first hollow pipe, movement of the piston can be controlled, the opening size of the flow dividing pipe is increased, the steam inlet amount is increased, and the hot pressing plate is rapidly heated; the temperature difference between the two ends of the first hollow pipe is reduced, the air pressure area is stable, a tension spring controls a piston to reset, stable air inflow is conducted on the flow dividing pipe, in addition, when steam exhausted by the flow collecting pipe is too high, due to deformation of a bimetallic strip, a partition plate can be controlled to move towards the interior of the flow dividing pipe, the air inflow amount is reduced, and therefore the temperature is prevented from being too high; and temperature control adjustment can be automatically carried out, the functionality of the device is improved, and the quality and speed of hot pressing are guaranteed.

The invention provides a water vapor interference resistant sensor air chamber and a dynamic dehumidification method thereof.The sensor air chamber is characterized in that an acquisition control module, a temperature acquisition assembly and a heating and heat preservation assembly are arranged in an air chamber structure assembly, and the acquisition control module is connected with the temperature acquisition assembly and the heating and heat preservation assembly; the heating and heat preservation assembly is arranged on the outer side of the sensor, the collection control module carries out data processing and regulation and control parameter calculation, and precise moisture-proof control is achieved. Meanwhile, the invention discloses a dynamic dehumidification method. In combination with the change of sensor signals and the moisture condensation temperature under different temperature conditions, the heating and heat preservation assembly is started to heat the air chamber, so that the temperature of the air chamber is always higher than the dew point temperature and is fixed as the temperature difference value of the air chamber temperature and the environment temperature, and the moisture is effectively prevented from condensing in the air chamber or interfering a detection signal; the problem that the sensor is prone to false alarm in the humid environment is solved, data are stable and reliable in the humid environment, and detection precision and stability are improved.