325 results about "Thermal balance" patented technology

The invention discloses a universal laser path optimization method and module for metal 3D printing, and the method comprises the following steps: S1, carrying out the slicing and initial path planning of a three-dimensional model, and generating printing data containing vector coordinates, a scanning time sequence, laser power and a scanning speed; s2, the printing data and the equipment parameters are imported into a path heat balance optimization module, and a high forming risk area is evaluated based on a temperature field distribution model; s3, laser path secondary optimization is conducted on the high forming risk area through a preset optimization function, and a new laser scanning path vector data set is generated; s4, importing the optimized path vector data set into printer control software for processing; the laser parameters and the scanning path are dynamically adjusted, so that the local temperature gradient is reduced, the thermal stress concentration is reduced, and the defects of warping, collapse and the like are overcome; the optimization function based on the mathematical model can adapt to various complex structures and is suitable for efficient printing of macroscopic-mesoscopic integrated parts, and the production efficiency is improved.

The invention discloses a temperature compensation method and system, and the method comprises the steps: receiving a valve block temperature signal collected by a temperature sensor integrated with a pressure sensor in a closed gas supply unit, and an electronic element temperature and environment temperature signal collected by a temperature sensor on a control unit PCB, generating an initial temperature-working condition data set by combining the power of the air pump and the working duration of the electromagnetic valve; performing thermal resistance network modeling on the initial temperature-working condition data set, constructing a multi-node thermal characteristic matrix, and decomposing the matrix into a plurality of sub-matrixes; performing real-time operation on the sub-matrix by using a dynamic heat balance algorithm to generate a temperature estimation result of the key component; and generating a temperature compensation control instruction according to the temperature estimation result of the key component. According to the embodiment of the invention, the temperature of the key component can be accurately estimated, dynamic compensation is realized, and the control precision and stability of the closed gas supply unit are improved.

The invention provides a rotary table bearing-torque motor thermal vibration coupling modeling method, and relates to the technical field of machine tool reliability analysis. Comprising the steps of calculating bearing restoring force, torque and elastic rigidity; giving a dynamic balance equation of the main shaft system; unbalanced magnetic pulling force and unbalanced mass excitation are calculated; a displacement field is solved, and load changes caused by the displacement field are transmitted to the thermal model; the contact force borne by the bearing is updated by considering the load effect related to displacement, and the friction heat generation of the bearing and the heat generation of each part of the motor are calculated; calculating thermal deformation and thermal displacement of the bearing; thermal resistance among nodes is calculated, and a temperature field equilibrium equation is given through a thermal resistance network to achieve rapid thermal-mechanical coupling analysis; the thermal equilibrium equation is solved to calculate temperature response; importing the latest temperature into the kinetic model; lubricating grease viscosity and bearing thermal deformation are updated; and repeating the steps to finally obtain the main shaft displacement field and temperature field response. The method is high in accuracy, high in universality, low in test cost and high in test efficiency.

The invention relates to the technical field of intelligent control of chemical reactors, and discloses an intelligent temperature control system for a step-by-step catalytic cracking reactor, which comprises a temperature field modeling module, a sensor configuration module, an index definition module, a control execution module, an analysis and diagnosis module and the like. The temperature field modeling module constructs a standard temperature field distribution model through infrared thermal imaging and generates virtual temperature points; the sensor configuration module is used for arranging a real temperature point and acquiring a temperature gradient and a temperature point missing rate; the index definition module sets a preset temperature index based on the thermodynamic parameters; the control execution module realizes steady state, dynamic response, heat balance and composite regulation and control; and the analysis and diagnosis module carries out fault tracing on the target which does not pass regulation and control and adjusts a strategy. The system further comprises a data acquisition module and a communication interface module, so that data storage and external communication are realized. The method improves the temperature control precision and the system self-adaption capability, and is suitable for the complex temperature control scene of the catalytic cracking reaction.

The invention relates to the field of semiconductor device testing, and discloses a power device thermal resistance testing method and power device thermal resistance testing equipment, and the method comprises the following steps: controlling an environment to rise to a first preset temperature in a temperature gradient manner, and sequentially applying a calibration current to a power device at each temperature gradient to test a first forward voltage drop of the power device; calibrating the power device according to the temperature value of each temperature gradient and the first forward voltage drop value corresponding to each temperature gradient to obtain a temperature-voltage drop curve; controlling the environment temperature to be a second preset temperature, applying a first rated power to control the power device to reach a heat balance state, applying a calibration current to the power device to test a second forward voltage drop of the power device, and measuring the shell temperature of the power device; and obtaining the thermal resistance of the power device according to the temperature-voltage drop curve, the second preset temperature, the second forward voltage drop, the first rated power and the shell temperature of the power device. According to the invention, the problem of inaccurate thermal resistance test of the power device is solved.

The invention discloses a furnace flue gas waste heat graded cycle power generation method and system, which combines multi-stage purification and temperature division utilization, and comprises the following steps: firstly, carrying out component analysis and desulfurization purification treatment on furnace flue gas, establishing a layered purification chain, and identifying an acid dew point area; a safe flue gas purification area is formed through material adaptability evaluation and corrosion control measures; then carrying out temperature gradient analysis and temperature field reconstruction on the purified flue gas, establishing a heat grade distribution mechanism and forming a gradient heat energy flow to realize complementary utilization of heat sources at different temperature sections; a water vapor main cycle and organic working medium auxiliary cycle cascade power generation system is constructed, and the magnetic suspension bearing technology is integrated to improve the auxiliary cycle power generation efficiency; establishing a heat balance parameter and optimizing a circulation network through heat matching degree monitoring and mismatch detection; and finally, an energy transfer matrix is constructed, distributed power generation configuration is formed through generator coupling analysis and rotating speed coordination control, stable electric energy output is completed, and efficient utilization of waste heat is achieved.

The invention discloses a heat dissipation control method and device of a liquid cooling charging pile and a medium, is applied to a liquid cooling control panel, and relates to the technical field of electric vehicle charging, and the method comprises the steps: collecting the original temperature data of a plurality of key nodes in a charging pile liquid cooling system in real time; the key node at least comprises a charging gun head and a cooling liquid inlet / outlet; comparing the original temperature data with a preset multi-stage temperature threshold value, and determining a current thermal state of the charging pile liquid cooling system according to a comparison result; according to the current thermal state, control parameters of a heat dissipation actuator in the charging pile liquid cooling system are generated through a pre-constructed temperature control engine; and generating a heat dissipation driving signal based on the control parameter, and sending the heat dissipation driving signal to a heat dissipation actuator so as to adjust the operation state of the heat dissipation actuator, so that the temperature of the charging pile liquid cooling system is maintained within the target temperature range. And according to different thermal state intelligent switching control strategies, it is ensured that the liquid cooling system can quickly respond and maintain the optimal thermal balance under any working condition.

The multi-energy coupling heating system comprises a geothermal energy utilization module, an air energy utilization module, a solar energy utilization module, an energy storage tank, a control module and the like, and multi-loop cooperation is formed through a pipeline and a circulating pump. The method comprises a winter heating mode and a summer heat storage mode, wherein geothermal energy is used as a basis in winter, solar energy is used for auxiliary heating, and air energy is used for supplementary heating; solar energy is utilized to store heat underground in summer to maintain soil heat balance. And the solar PV / T assembly generates power to be used by system equipment and stores the power. Multi-energy complementation is achieved, the energy self-sufficiency rate is increased, cost is reduced, carbon emission is reduced, stable operation under extreme working conditions is guaranteed, and the system is suitable for rural heating in the northwest region.

The invention discloses a thermodynamic system parameter distribution method and device, and the method comprises the steps: S1, analyzing a block definition diagram and an internal block diagram from a SysML model to obtain a module structure description, a module value attribute, an interface specification of an equipment unit and a thermodynamic parameter description, and generating an analysis result, the analysis result comprises equipment unit port and connector information. And S2, based on the analysis result, mapping the equipment module to a simulation software element through name matching, and generating a steady-state thermal simulation model. And S3, associating the module value attributes with element attributes of the steady-state thermal simulation model through a parameter mapping mechanism, and generating attribute mapping data. And S4, generating a complementation parameter list according to the external design value and the heat balance demand. Therefore, the efficiency and accuracy of parameter allocation are improved, manual intervention is reduced, and it is ensured that the allocation result meets the requirements of system performance.

The invention belongs to the technical field of flight simulation training equipment, particularly relates to an intelligent temperature control system for a flight simulator cabin, and solves the problem that the requirements of flight simulator temperature control on multi-dimensional physiological perception fusion, multi-target collaborative optimization and rapid personalized adaptation and active safety protection of new pilots cannot be met in the prior art. According to the method, a multi-modal sensing layer processes multi-channel skin physiological data, physical environment data and pilot electrocardiosignals, a human body heat balance equation for blood flow correction is constructed, and physiological feature vectors including predicted core body temperature, predicted average votes and predicted dissatisfaction percentage are generated; the decision-making layer generates a temperature control instruction and a confidence evaluation value through a meta-learning model, a reward function is in a four-dimensional dynamic weighting form, and the weight is adjusted through an IF-THEN rule according to the state; and the dynamic execution layer adopts a PID closed loop to adjust the partition temperature and triggers response in a grading manner. Accurate and personalized temperature control is achieved, and the training quality and safety are guaranteed.

The invention relates to the technical field of polycrystalline silicon preparation, and discloses a polycrystalline silicon reduction furnace intelligent regulation and control system based on multi-parameter prediction, which is based on full-dimensional data such as current, raw material purity, silicon rod temperature and the like acquired by a multi-parameter sensing module, and realizes the intelligent regulation and control of a polycrystalline silicon reduction furnace through a burst interference quantification sub-module in a bidirectional linkage fusion prediction module. The deviation entropy quantification interference intensity of the multi-parameter change rate is calculated, migration learning emergency correction terms are synchronously called to dynamically compensate prediction errors, meanwhile, the one-way dependence defect is broken through, and a dynamic physical boundary is provided for a data driving prediction constraint module through physics, electrode contact resistance and in-furnace heat balance parameters; the NMPC module takes a bidirectional fusion high-precision predicted value as a target, solves a multi-target optimization control sequence and issues and executes the multi-target optimization control sequence, and the closed-loop iterative optimization module synchronously updates physical and data model parameters through incremental learning on the basis of an actual regulation and control effect, so that the problems of current regulation lag and formula parameter stiffness are solved, and long-term stable operation of the reduction furnace is supported.

The invention discloses an air conditioner energy-saving optimization method and system based on intelligent control, and the method comprises the following steps: 1, collecting temperature and humidity data and air conditioner setting parameters, carrying out the training through a residual error connection attention recurrent neural network model, and outputting a thermal inertia prediction value; 2, constructing a thermal behavior joint feature vector; 3, performing clustering operation by adopting a Dirichlet process mean value clustering algorithm, and generating a space-time microcell by setting a clustering penalty threshold value; 4, constructing a thermal comfort model by adopting an improved PMV model based on a Fanger heat balance theory, and obtaining a disturbance index value of each space-time microcell; 5, constructing a joint optimization objective function, and generating optimal control action parameters of each space-time microcell; and step 6, carrying out fusion calculation on the optimal control action parameters of all the space-time microcells to generate an overall control instruction. According to the method, thermal inertia prediction and dynamic clustering optimization methods are fused, and intelligent energy-saving control over the air conditioner is achieved.

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

The invention relates to the field of polyimide films, and discloses a catalytic polyimide film with a low thermal expansion coefficient and a preparation method thereof, the catalytic polyimide film comprises 43-47% of a rigid polyimide material, 28-32% of a flexible polyimide material, 4-6% of a dynamic cross-linking agent, 7-9% of a component agent, and the balance of a solvent; the dynamic cross-linking agent comprises maleimide terminated polyamide and a difuran compound, and the ratio of the maleimide terminated polyamide to the difuran compound is 3: 2. Through the synergistic effect of constructing a stable framework by a rigid polyimide material, buffering stress by a flexible polyimide material and uniformly dissipating heat by flaky boron nitride, a chemical regulation and control system of'rigid constraint-flexible buffering-heat conduction balance 'is formed, thermal expansion is inhibited from the molecular level, and compared with a traditional physical method which purely depends on external force or a single component, the thermal expansion coefficient is greatly improved. According to the system, through complementation of chemical mechanisms of all components, the dimensional stability under temperature fluctuation is improved to a new height, and the problem that the thermal expansion coefficient in a wide temperature range is difficult to control is solved.

The invention provides a green hydrogen comprehensive energy park cooperative scheduling method considering electrolytic bath thermal inertia. The method comprises the steps of 1, obtaining operation parameters of a green hydrogen comprehensive energy park; 2, according to the operation parameters of the green hydrogen comprehensive energy park established in the step 1, considering the delay response of heat transfer, and establishing a thermal inertia model of heat production, natural heat dissipation and cooling response of an electrolytic bath; step 3, establishing power balance constraint, heat balance constraint and equipment operation constraint according to the operation parameters of the green hydrogen comprehensive energy park in the step 1 and the thermal inertia model of heat production, natural heat dissipation and cooling response of the electrolytic bath in the step 2; and 4, according to the power balance constraint, the heat balance constraint and the equipment operation constraint established in the step 3, determining the minimum operation cost of the system as an objective function, and solving the objective function to obtain an optimal scheduling strategy of each module of the green hydrogen comprehensive energy park.

The invention provides a power supply coal consumption detection method and device for a coal-fired unit with a hot primary air heater. The method comprises the following steps: dividing a boundary for a heat balance system of the coal-fired unit with the hot primary air heater based on a preset rule; based on the heat balance system of the coal-fired unit after boundary division, the boiler fuel efficiency after air inlet temperature correction is determined; based on the steam turbine heat rate and the correction coefficient, the steam turbine heat rate after parameter correction is obtained; and determining the power supply coal consumption of the coal-fired unit based on the boiler fuel efficiency after the air inlet temperature correction, the steam turbine heat consumption rate after the parameter correction and the station service power consumption rate. The method can guide the detection and calculation of the power supply coal consumption of the coal-fired unit with the hot primary air heater, and provides technical reference for power plant personnel to carry out proper operation adjustment according to the data. And meanwhile, the economical efficiency of transformation of the hot primary air heater of the power plant can be evaluated, and the power plant is guided to carry out reasonable transformation evaluation and carry out reasonable parameter adjustment on the hot primary air heater.

The invention discloses a control method, and particularly relates to an energy storage power converter self-adaptive control method based on digital twinning, which comprises the following steps: step 1, digital twinning model synchronization and state sensing; step 2, multi-target collaborative optimization based on prediction; and step 3, optimizing instruction issuing and physical system execution. Through real-time prediction and optimization of the digital twinborn model, it is ensured that the power switch tube always works in a zero-voltage switching state, switching loss is effectively reduced, and overall efficiency is improved. Dynamic thermal balance management is realized by combining thermal model prediction, local overheating is avoided, the service life of devices is prolonged, and the reliability of long-term operation of the system is enhanced.

The invention discloses a magnetic suspension bearing temperature rise rapid prediction method based on an equivalent thermal network, and relates to the technical field of prediction, and the method comprises the steps: dispersing a thermal network into typical thermal network units through geometric features and a heat flow direction, dividing different thermal nodes, and connecting the thermal network units with adjacent solid thermal nodes through equivalent convective thermal resistance. The method has the advantages that the rapid analysis of the temperature rise is realized, the calculation complexity of modeling and solving is reduced through a nodal thermal network structure, the time consumed by iterative solving is shortened to the second level, the efficiency is improved by more than thousand times, and the method is suitable for large-scale popularization and application. The real-time accurate prediction requirement in engineering is met, anisotropic thermal conductance modeling is carried out, and thermal gradient distortion caused by dimension reduction of a traditional one-dimensional / two-dimensional model is avoided through independent assignment of axial, radial and circumferential thermal conductance parameters and accurate characterization of heat conduction direction anisotropy and multidirectional heat flow coupling of laminated materials such as silicon steel sheets.

The invention discloses an infiltration type energy storage spraying temperature control integrated system based on intelligent adjustment, and belongs to the technical field of heat management of energy storage batteries. The system intelligently analyzes battery temperature data through the main control module, and dynamically adjusts the working mode (heating or heat dissipation) of the temperature control device and a heat-conducting medium conveying path (passing through the battery monitoring unit and then the battery pack, or passing through the battery pack and then the battery monitoring unit), thereby realizing bidirectional heat path control. The core of the system lies in software innovation such as a multi-mode adjustment algorithm, a thermal runaway prediction model and a self-adaptive spraying strategy, thermal management efficiency can be optimized according to the real-time state of the battery, energy consumption is reduced, and thermal balance is improved. Compared with the prior art, the system reduces the dependence on a complex mechanical structure through modularized intelligent control, and remarkably improves the safety and energy efficiency ratio of the energy storage system. Further, a digital twinborn simulation module is introduced into the system, control parameters are optimized in real time through virtual mapping, and graded response of thermal runaway is achieved in combination with a gradient spraying strategy.

The invention relates to the technical field of cable production and manufacturing and automation control, in particular to an energy-saving cable extrusion production process control system, which comprises a data acquisition module for acquiring real-time working condition parameters of an extrusion production line; the rheological thermal coupling analysis module is used for resolving the shear heat contribution rate under the current working condition; the heat engine response decoupling module is used for determining a heat engine response lag time difference between mechanical shear heat and machine barrel heat conduction; the energy efficiency optimization calculation module is configured to generate a dynamic heat balance control strategy aiming at an unsteady state working condition according to the heat engine response lag time difference and a preset unit output ratio energy consumption target; the self-adaptive execution module is configured to output a cooperative control instruction for a heating and cooling system and a screw driving system based on the dynamic heat balance control strategy so as to realize minimization of system energy consumption; according to the method, the common energy confrontation phenomenon of alternate operation of heating and cooling in traditional control is solved, and the energy consumption in the transition process is greatly reduced.

The invention relates to a multi-energy combined ventilation air methane utilization method, and belongs to the technical field of methane treatment. In order to solve the problems that ventilation air methane with the concentration lower than 0.3% cannot be oxidized in a self-sustaining mode and a traditional technology depends on external fuel, a solar energy, wind energy and geothermal energy collaborative power supply system is adopted, and heat balance of a heat storage oxidation device is maintained in combination with an electric heating power dynamic adjustment formula. Through gradient utilization of flue gas waste heat and catalytic purification treatment, stable destruction of ventilation air methane with the concentration of 0.1% is achieved, the energy consumption of the system is reduced by 60% or above, the emission of CO is lower than 3.2 ppm, and the emission of NOx is lower than 15 mg / Nm < 3 >. The method breaks through the bottleneck of low-concentration gas treatment, is suitable for mining areas at the altitude of 4500 m or below, has the energy self-sufficiency rate of 95% or above, and is free of secondary pollution.

The invention relates to the field of thermal power generating unit thermodynamic equilibrium adjustment, and provides a thermal power generating unit thermodynamic equilibrium adjustment system and method, and the system comprises a multi-source data collection module which is used for collecting multi-source data in the operation of a thermal power generating unit in real time; the thermodynamic state evaluation module is used for constructing a thermodynamic system dynamic model and calculating a current thermodynamic equilibrium state index; the multi-level coordinated regulation and control module is used for generating a multivariable coordinated control instruction according to the current thermodynamic equilibrium state index and the control strategy; the self-adaptive optimization decision module is used for dynamically adjusting a control strategy based on the historical operation data and the real-time thermal state; and the actuating mechanism driving module is used for converting the multivariable coordination control instruction into an operation signal and driving an actuating mechanism to act. The thermal power state of the thermal power generating unit can be comprehensively and accurately monitored, the dynamic response speed and the control precision are improved, the adaptability and the robustness of different working conditions are enhanced, reliable execution of an adjusting instruction is ensured, and the operation economical efficiency and the environment-friendly performance of the unit are effectively improved.

The utility model relates to the technical field of heat dissipation of hydraulic systems, and discloses a hydraulic system and a skid steer loader with the hydraulic system. An oil inlet of the first radiator is communicated with an oil return opening of the walking pump; an oil inlet of the first one-way valve is communicated with an oil return opening of the walking pump; an oil outlet of the first radiator and an oil outlet of the first one-way valve are both communicated with an oil suction port of the oil supplementing pump, and an oil outlet of the oil supplementing pump is communicated with an oil inlet of the walking pump; an oil inlet of the multi-way valve is communicated with an oil return opening of the working pump; an oil inlet of the second radiator is communicated with an oil outlet of the multi-way valve, and an oil outlet of the second radiator is communicated with an oil inlet of the working pump. According to the hydraulic system, the flow of the working pump and the flow of the oil supplementing pump do not need to be considered, and the heat balance temperature of the hydraulic system is also within the normal range under the small-displacement output working condition of the working pump.

The present application belongs to the technical field of modular multilevel converter, and particularly relates to a kind of MMC half-bridge sub-module inter-thermal balance control method.The present application takes voltage balance principle and junction temperature balance principle as core, by predicting the junction temperature trend of half-bridge sub-module switching device in next control cycle, the junction temperature of half-bridge sub-module switching device and capacitor voltage are combined to set weight factor C for half-bridge sub-module switching control, which can realize the junction temperature balance of switching device between different half-bridge sub-modules in the same bridge arm.By taking half-bridge sub-module as the research object, and considering the temperature of the four switching tubes in its topology, the thermal balance control of MMC under different operating modes can be realized.By embedding the junction temperature control variable into the voltage balance algorithm and ensuring the stable operation of the MMC system, the junction temperature balance effect of the switching devices between the half-bridge sub-modules can be effectively improved, which can effectively reduce the pressure of uneven thermal stress distribution between the half-bridge sub-modules and improve the operation reliability of the MMC system.

The invention discloses an SOEC temperature control system based on off-line identification of a heat transfer mechanism model, and the system achieves the decoupling of parameter obtaining and temperature control execution through the mode of obtaining a heat balance equivalent parameter through the off-line identification of a pre-constructed system identification target function, does not need to achieve the online parameter identification, and can achieve the real-time temperature control. The environment temperature is used when the feed-forward power is calculated, so that the capability of inhibiting disturbance generated by the change of the environment temperature can be improved, stable and high-precision temperature control can be ensured, meanwhile, heat balance equivalent parameters are adopted, the temperature dynamic characteristics can be accurately described, known disturbance can be effectively compensated in the feed-forward link, and the stability of the feed-forward power is improved. And the response speed and the robustness are obviously improved. Calculation of the feedforward control signal and the feedback control signal is based on real-time measurement data instead of depending on simulation data or data obtained through an offline experiment, and the control accuracy is improved.

The invention provides a thermal balance calculation method and device of a differential mechanism, the differential mechanism, a storage medium and an electronic device.The method comprises the steps that geometric parameters of a planetary gear and a half axle gear of the differential mechanism, the rotating speed of the half axle gear and the input torque are obtained; calculating contact pressure data between the planetary gear and the half axle gear according to the geometric parameters and the input torque; calculating a friction pair bearing characteristic number of the differential according to the contact pressure data; acquiring the friction coefficient in the differential according to the characteristic number of the friction pair bearing; calculating the total friction loss power of the differential according to the friction coefficient, the half axle gear rotating speed and the contact pressure data; and the cooling oil amount needed by the differential in unit time is calculated according to the friction loss total power and the lubricating oil parameters. According to the embodiment, a scheme for accurately calculating the cooling lubricating oil amount of the differential mechanism is achieved, a forced lubrication differential mechanism structure is provided, and the problems of reliability and efficiency caused by cooling lubrication of the differential mechanism in the related technology are solved.

The present invention relates to the field of sensor technology, and specifically discloses a high-precision temperature sensor chip automatic testing system and method, the method comprising S1, measuring the resistance values of a chip under test and a standard chip at room temperature, and calculating the corresponding resistance difference at room temperature; S2, placing the corresponding chip under test and the standard chip in the temperature field for heating to achieve short-term thermal equilibrium; the temperature of the temperature field is a dynamically changing temperature curve; S3, measuring and calculating the resistance difference between the chip under test and the standard chip at high temperature; S4, calibrating the chip under test based on the corresponding high-temperature resistance difference and room-temperature resistance difference. This solution can reduce the requirements for the uniformity and stability of the temperature field during the test process, achieve rapid measurement of the chip, and thus improve the efficiency of temperature sensor chip detection.

This invention discloses a dual-frequency composite induction strengthening process for medium carbon steel, gradient hardened layer parts, and a production system. The process includes: selecting SAE 1045 medium carbon steel and performing quenching and tempering pretreatment; precision machining to form outer circular channels and inner ball channels; performing dual-frequency composite induction hardening on the outer circular channels and inner ball channels respectively, i.e., preheating to 680-750℃ with medium-frequency current, then rapidly heating to 880-920℃ with high-frequency current followed by spray cooling, and using thermal balance control to form a gentle transition zone with a width of 2-5mm between the two hardened zones, where the hardness gradient along the axial line connecting the two hardened zones does not exceed ΔHRC10 / mm; finally, low-temperature tempering. This invention also discloses wear-resistant parts with a dual-layer composite hardened layer structure and a gradient transition zone prepared using this process, as well as an online composite strengthening production system. This invention replaces low-carbon alloy steel with medium-carbon steel and replaces overall carburizing with local dual-frequency induction hardening, which can reduce raw material costs and energy consumption, reduce deformation, and obtain a hardened layer that meets the depth requirements, thus realizing online continuous production of heat treatment and machining.

The application relates to the technical field of data regulation, in particular to an intelligent control method for an air conditioning system for temperature control of a server room, which comprises the following steps: acquiring temperature data, wind direction data and load power data of each monitoring position in a time monitoring window of the server room; acquiring temperature data and total load data of a corresponding channel position of each air conditioner; obtaining a thermal regulation demand index according to the fluctuation of the temperature data, the difference of the wind direction data of each monitoring position, and the change coordination between the temperature data and the load power data; obtaining a thermal radiation characteristic index according to the change coordination of the temperature data of adjacent channel positions and the change coordination of the total load data of the adjacent channel positions; and regulating the air conditioner temperature according to the thermal regulation demand index and the thermal radiation characteristic index corresponding to each air conditioner. The application makes the temperature regulation result more reasonable, realizes dynamic thermal balance among different channels and maintains the temperature stability of the server room.

The invention discloses a laser heat treatment method and device for a high-pressure gas lamp, and belongs to the technical field of gas discharge lamps. Setting a standard heating rate, a standard cooling rate, a first heat preservation temperature, a first heat preservation time, a second heat preservation temperature and a second heat preservation time; a two-stage heating method is adopted, and the actual heating rate is regulated and controlled in cooperation with a temperature control system; after heat preservation is finished, the temperature control system carries out cooling operation; and the temperature control system regulates and controls the actual cooling rate according to the standard cooling rate until the actual temperature is reduced to the room temperature. By adopting the device and the method disclosed by the invention, performance stabilization treatment can be carried out on the finished high-pressure gas lamp, so that each component in the high-pressure gas lamp reaches a heat balance state, the residual stress of a quartz bulb shell is eliminated, and the stability of the product performance is ensured; early failure products are effectively screened, and the reliability of follow-up factory lamps is ensured.