189 results about "Heat capacity" patented technology

The invention discloses a dynamic load adaptive charging pile liquid cooling control method, relates to the technical field of thermal management, and solves the problems of temperature prediction deviation, local hot spot leak detection and protective supercooling caused by a simplified thermal model based on fixed parameters and key temperature points under rapid load fluctuation. Parameterization time-varying heat supply network parallel multi-rate observation is constructed, a heat exchange coefficient and node heat capacity are identified and calibrated through recursion with physical constraints, transmission time delay is merged into an extended state in an explicit mode, short-window high-frequency sampling and local temperature field reconstruction are triggered based on residual errors, and the time-varying heat supply network parallel multi-rate observation is achieved. A control sequence is issued in parallel by adopting hierarchical rolling type control with a second-order moment uncertainty constraint; based on the scheme, the short-term temperature field prediction precision and the local hot spot identification capability are improved, and the cooling resource directional utilization efficiency and the charging system operation continuity are remarkably improved.

The invention discloses a synchronous reluctance motor magnetothermal coupling rapid calculation method based on a dynamic thermal network, and belongs to the technical field of motors. Comprising the following steps: calculating motor loss by adopting a finite element electromagnetic field model, and calculating a convective heat transfer coefficient by adopting a finite element fluid field model; constructing a three-dimensional thermal network comprising conduction, contact, convection thermal resistance, thermal capacity and a heat source, and solving to obtain an average temperature and a boundary temperature of component nodes; constructing a sub-domain temperature field calculation model of the heat source component, and calculating temperature distribution in combination with boundary conditions; introducing average temperature compensation thermal resistance and carrying out dynamic correction; carrying out magnetothermal coupling iteration, and updating the loss and the temperature until the precision is met; and introducing maximum temperature compensation thermal resistance into the thermal network, and solving to obtain an average temperature and a maximum temperature transient temperature rise curve of each component. Based on the technical means of combining electromagnetic field and fluid field finite element simulation with thermal network and subdomain temperature field calculation, efficient calculation of magnetothermal coupling of the synchronous reluctance motor is achieved.

The invention relates to the technical field of boiler control, in particular to a multivariable coupling thermal process regulation and control system and method for carbon pollution governing, and the method comprises the steps: collecting multi-source data such as acoustic emission, temperature, humidity and spectrum, and constructing a feature sequence through time mark alignment and wavelet packet enhancement; a heat value characterization quantity is predicted by using a Shenchang differential equation model fused with dynamic gating, a partition equivalent thermal network model is driven on this basis, and accurate prediction of a future time domain temperature field is realized by dynamically correcting thermal resistance and thermal capacity; based on the prediction result, a control instruction is solved through multi-objective optimization under the condition that the active temperature constraint is met; and in combination with heat flow density feedback, a layered reinforcement learning controller is adopted for online compensation of a pre-feedback instruction, and stable and efficient regulation and control of the boiler are achieved.

According to the intelligent plunger pump temperature control method and system based on model predictive control, a thermodynamic model predictive control algorithm is introduced, key parameters such as the oil temperature of a plunger pump body, the water temperature of a water tank and the environment temperature are brought into a unified calculation model, and cooperative closed-loop control over a heating plate, a semiconductor chilling plate and a circulating pump is achieved. By constructing the heat balance equation of the lumped heat capacity system and solving the rolling optimization problem in the limited time domain, the heat load change of the plunger pump can be accurately predicted and adjusted in advance, the oil temperature is always stabilized in the preset target interval, and the temperature control precision is remarkably improved; meanwhile, mutual exclusion constraints of heating and refrigerating power are set, and weights are dynamically adjusted and optimized according to working conditions, so that meaningless consumption of energy is effectively avoided, and the operation cost of equipment is reduced; in addition, according to the control method, preheating, cooling and energy-saving modes can be automatically recognized, so that the plunger pump is rapidly started in the severe cold environment and stably operates in the high-temperature environment.

The invention discloses a real-time online superconducting accelerator low-temperature system construction method and system.The method comprises the steps that physical property calculation in a low-temperature system is simplified, and a simplified physical property function of a working medium in the low-temperature system is obtained; the key point temperature is simulated according to the combination of a one-dimensional pipeline model and a 0-dimensional tank sub-model based on an agent model technology, the one-dimensional pipeline model is used for simulating the delay of heat transfer, and the 0-dimensional tank sub-model is used for simulating heat capacity; and responding to the simplified physical property function and the key point temperature, and solving node parameters in the low-temperature system by adopting a large-scale nonlinear sparse matrix equation. According to the invention, the fast simulator which operates independently can be provided, and meanwhile, the fast simulator can be combined with a real low-temperature system to operate to provide analysis and prediction functions for the real low-temperature system.

The invention discloses a pollution emission monitoring and early warning method based on physical prior and information value driving, and relates to the technical field of environment monitoring and pollution control, and the method comprises the following steps: collecting production side certificate data, executing time alignment and self-calibration drift removal, and constructing a standardized multi-source database; judging whether a heat island effect occurs or not, and if yes, collecting volume heat capacity, solar irradiance and heat island intensity data of a single building; according to the method, the heat island effect is introduced to judge and generate a new time-space diagram network, real-time heat island intensity changes caused by building materials and solar irradiation can be dynamically captured, and building wind field and plume data are accurately corrected. The problem that a conventional method cannot adapt to irregular fluctuation of vertical wind shear caused by the real-time heat island effect is solved, the pollution plume low-altitude compression phenomenon caused by the heat island effect is effectively corrected, and the monitoring direction is always aligned with the real diffusion path of pollutants.

The invention relates to the technical field of electric power energy storage control, and discloses a multi-dimensional state driven energy storage cold energy storage optimization control system and method, and the method comprises the steps: collecting the multi-dimensional state parameters of an energy storage system and the price of an electric power market, and judging a current operation time period mode; in the active cold storage mode, target cold storage capacity is determined according to the maximum allowable heat capacity buffer margin, and cold pre-storage is completed; in the cold capacity release mode, cold capacity-heat capacity collaborative multi-stage judgment is executed, the minimum critical mass flow rate meeting the heat exchange requirement is reversely solved, the minimum critical mass flow rate is mapped to a discrete control gear of the liquid cooling circulating pump to generate a final rotating speed instruction, and meanwhile closed-loop flow correction is executed; according to the method, the minimum critical mass flow rate is accurately solved, the rotating speed of the liquid cooling circulating pump is remarkably reduced while battery thermal inertia buffering is utilized, parasitic energy consumption is greatly reduced through the cubic relation between pumping power consumption and the rotating speed, and the problem that electric charge income is counteracted due to excessive pumping is solved.

The invention relates to the technical field of gas heat conductivity coefficient measurement, and provides a gas heat conductivity coefficient measurement data processing method, device and equipment and a medium, and the method comprises the following steps: obtaining hot-wire temperature rise experiment data of hot-wire temperature rise along with time change measured by a transient hot-wire method experiment; the hot line temperature rise experiment data are corrected through a theoretical correction model, corrected theoretical temperature rise data are obtained, and the theoretical correction model is derived based on a physical model considering the hot line limited heat capacity and the radiation heat exchange effect; and determining the heat conductivity coefficient of the detected gas based on the corrected theoretical temperature rise data. According to the technical scheme, a test data processing correction method is provided, and the accuracy of a test result is improved.

The invention relates to a liquid flow detection system based on a thin film thermistor, and the system comprises a pipeline which is used for conveying to-be-detected liquid; the sensor body is mounted on the pipe wall of the pipeline; the inductive probe is arranged at the bottom of the sensor body and extends into a flow channel of the pipeline, the inductive probe comprises a heating resistor serving as a heating element and a temperature measuring resistor serving as a temperature measuring element, and the temperature measuring resistor is located at the downstream of the heating resistor; and the signal processing circuit board is arranged inside or outside the sensor body, is electrically connected with the heating resistor and the temperature measuring resistor, and is used for collecting and processing temperature signals. According to the invention, the MEMS film thermistor is utilized, the thermal capacity is small, the response is fast, and the fault of a traditional thermal sensor is broken through; according to the method, the thermal saturation bottleneck of a small flow area with the flow rate of 1 [mu] L / min is overcome, and a delta T / delta t composite algorithm model is introduced, so that the linearity and the sensitivity of the low flow area are effectively expanded, and the flow measurement with the precision of nL / min to [mu] L / min is realized.

The invention relates to the technical field of power electronic devices, in particular to an energy consumption resistor temperature online monitoring method and related device.The method comprises the steps that the equivalent heat capacity and the equivalent heat resistance of an energy consumption resistor to be measured are obtained, and the actually measured power of the energy consumption resistor in the current period, the reference temperature of the last period and the preset period time are obtained; according to the equivalent heat capacity, the equivalent heat resistance, the cycle time, the actually measured power, the reference temperature and a preset mapping relational expression of the energy consumption resistor, the temperature of the energy consumption resistor is calculated; the equivalent heat capacity, the equivalent heat resistance and the period time of the energy consumption resistor, the actually measured power of the current period, the reference temperature of the previous period and the mapping relation among the actual temperature of the current period of the energy consumption resistor are embedded in the mapping relation; according to the comparison result of the actual temperature of the current period and the preset temperature threshold value, the monitoring result of the energy consumption resistor in the current period is output, and the technical problem that the temperature of the energy consumption resistor cannot be effectively monitored in the prior art is solved.

Drying and / or curing system (1), in particular for drying and / or curing painted and / or glued workpieces (4), with at least one zone (7 - 11) through which the workpieces (4) can be moved, and with a fresh air and / or exhaust air volume control (50) which serves to control a quantity of fresh air that can be introduced into the zone (7, 11) and / or a quantity of exhaust air that can be discharged from the zone (8, 10), wherein the fresh air and / or exhaust air volume control (50) varies the quantity of fresh air and / or exhaust air depending on a current number of workpieces (4) supplied in a time interval, characterized by the fact that The amount of fresh and exhaust air is controlled depending on a determined dew point in such a way as to prevent the formation of condensate. and / or that the amount of fresh and exhaust air is controlled depending on the total heat capacity in such a way as to prevent the formation of condensate. and / or that the amount of fresh and exhaust air is controlled depending on the total amount of carbon in such a way as to prevent the formation of condensate.

The invention discloses a power distribution cabinet operation state monitoring control system, particularly relates to the technical field of power distribution cabinets, and aims to perform time weighted integration on a current sequence by using an electric heating time constant and an equivalent heat capacity, construct a short-time impact sensitivity coefficient, and combine impact duration, a current duty ratio and a temperature rise gradient to obtain a short-time impact sensitivity coefficient. A load process is divided into a short-time impact stage and a continuous load stage, so that an acceptable short-time current impact which is large in amplitude but not accumulated in heat and a dangerous overload process which is not extremely high in amplitude but continuously high in temperature can be distinguished physically; an electric heating accumulation index is constructed through an electric heating segmentation feature set, and a material allowable temperature rise curve is introduced to form a safe electric heating boundary model, so that a monitoring system can recognize a danger approaching trend in advance from the perspective of a heat accumulation risk.

The invention discloses a regulation and control method, system and device for participation of an air conditioner cluster in demand response and a medium, and relates to the technical field of building energy saving.The method comprises the steps that a virtual energy storage model of a target building is constructed, and the equivalent heat capacity of the target building is calculated according to a set of physical parameters; in response to the power grid demand response event, obtaining a target parameter of the demand response event; according to the equivalent heat capacity and the target parameters, preparatory energy is determined through iterative calculation, a target regulation and control strategy of the air conditioner cluster is generated, the temperature of the air conditioner cluster is adjusted to the extreme value of the human body comfort temperature interval within the preset duration before the demand response event starts, and the preparatory energy is stored for the target building; in the period of executing the demand response event, the operation power of the air conditioner cluster is reduced, and the indoor temperature is kept within the human body comfort temperature interval through the reserved energy stored in the target building; and the air conditioner cluster is intelligently regulated and controlled according to the target regulation and control strategy. According to the technical scheme, the effect of improving the regulation and control efficiency is achieved.

A power control device controls temperature of an apparatus having a cooling mechanism and a heat generating component. The power control device includes a nonvolatile storage unit that stores information indicating unique characteristics including thermal resistance and thermal capacity of the apparatus for each current of the heat generating component, a current measurement unit configured to measure a current flowing through the heat generating component, a temperature measurement unit configured to measure a current temperature of the heat generating component, and a control unit configured to perform cooling control on the apparatus. The control unit estimates a temperature rise value after a certain delay time based on the current, the temperature, and the information on the unique characteristics, and performs the cooling control on the apparatus based on the estimated temperature after the delay time.

The invention discloses an industrial steam extraction combined heat and power generation frequency modulation system and an industrial steam extraction combined heat and power generation frequency modulation method adapting to a variable load condition, and relates to the technical field of combined heat and power generation. The problems that the heat storage capacity is limited and the frequency modulation capacity is low due to the fact that only reheating hot section steam is utilized at the present stage are abandoned, and in the sliding temperature operation mode, due to the fact that the temperature of main steam and the temperature of reheating steam can be changed by unit variable loads, the change trend of the steam extraction amount is completely opposite to the steam extraction temperature in the frequency modulation process, and the heat storage capacity is limited. Therefore, the outlet temperature of the heated molten salt is controlled by changing the sensible heat exchange amount of the main steam superheating heat exchanger and the reheating hot section steam superheating heat exchanger, and through the control strategy that the temperature is dynamically adjusted to be stable through the flow branches and the molten salt flow distribution of the main steam superheating heat exchanger and the reheating hot section steam superheating heat exchanger, the heat exchange efficiency of the molten salt is improved. The stability of the temperature of the heat storage medium in the heat storage process is greatly improved, and finally efficient operation of the system is achieved.

The invention discloses a small-focus X-ray detection system and a small-focus X-ray detection method for foreign matters in in-service GIS equipment, and relates to the technical field of X-ray nondestructive detection.The detection method is realized based on the detection system, the system comprises a ray machine and a cooling device, the cooling device is configured to cool an anode target, the cooling device comprises a circulating pipeline, and the circulating pipeline is connected with the ray machine. The cooling device is configured to comprise a circulating hose or a heat capacity module; the circulating hose is used as a constituent part of the circulating pipeline and is used as a flexible connecting pipe of the ray machine and the liquid cooling module on the cooling device; the heat capacity module is arranged on the circulating pipeline or serves as a component of the circulating pipeline, the heat capacity module is thermally coupled with the circulating pipeline, and the heat capacity module absorbs heat of the cooling liquid through metal on the heat capacity module serving as a heat capacity body. The convenience of the operation of changing the detection position and the irradiation angle of the detection system can be optimized.

The application discloses a capacity configuration method of a combined cooling, heating and power system of photovoltaic / photothermal / AA-CAES, which firstly establishes a model of a combined cooling, heating and power system of a micro integrated energy system containing AA-CAES, and then solves the model by adopting a double-layer planning method. In the double-layer planning method, the upper layer plans the configuration of capacity with the minimum sum of capacity configuration cost and scheduling cost of the lower layer as the target, the lower layer uses the parameters of the upper layer to schedule the lower layer model according to seasons, with the minimum sum of energy supply cost and carbon dioxide treatment cost as the target, and returns the scheduling result to the upper layer to assist the decision of the upper layer capacity. The method considers the capacity of the compressed air energy storage system of the combined cooling, heating and power system, and establishes a model suitable for capacity planning and scheduling. Simulation results prove that the double-layer planning method can obtain appropriate capacity configuration and energy scheduling.

The invention discloses a calculation method for a running overhead line state. The calculation method comprises the following steps: acquiring measurement data and line parameters in real time; the measurement data comprises environment temperature, wind speed and direction, wire tension, sunlight intensity and load current, and the line parameters comprise strain section parameters and wire parameters; solving the conductor sag by using the wind speed and direction, the conductor tension, the strain section parameter and the conductor parameter; based on a proportional fusion correction mechanism, solving the average temperature of the line by using the conductor sag; solving the maximum heat capacity of the line by using the environment temperature, the sunlight intensity, the load current and the average temperature of the line; and adjusting the running current on the overhead line in real time according to the maximum thermal capacity of the line. On the basis of the method, the measurement data and the line parameters under the actual operation condition are utilized to replace the calculation of presetting the maximum allowable current-carrying capacity under the worst condition, so that the utilization rate of the invisible capacity is improved, the transmission efficiency of the overhead line is further improved, and the economical efficiency and the transportation capacity of the overhead line are improved.

The invention discloses a calorimeter and method for FLASH radiotherapy rays. The calorimeter comprises a calorimetric core, a jacket layer and a shielding layer. The calorimetric core is an absorber of FLASH radiotherapy rays, and the calorimetric core is nested in a first space in the jacket layer in a manner that a first interval exists between the calorimetric core and the jacket layer and the calorimetric core and the jacket layer are not in contact with each other; the jacket layer is nested in a second space in the shielding layer in a manner that the jacket layer and the shielding layer have a second interval and are not in contact with each other; no non-gas filler exists in the first interval and the second interval. Through the arrangement, the calorimeter aims to meet the strict requirements of ultrahigh dose rate and millisecond irradiation of FLASH radiotherapy rays, the defects that solid filler hinders heat transfer and increases heat capacity in the prior art are overcome, through the design that three layers do not make contact with each other and are free of solid filling, heat loss and heat conduction lag are reduced, heat is concentrated on the calorimetric core, and the heat loss is reduced. Meanwhile, the overall heat capacity is reduced, the millisecond-level thermal response speed is guaranteed, and high accuracy and traceability of dose measurement are guaranteed.

The invention relates to a cable dynamic thermal management method and device based on a new energy scene and electronic equipment, and the method comprises the steps: collecting cable load data, cable state data and environment parameter data applied to the new energy scene; layering and discretizing the cable into a heat capacity node and a heat resistance path so as to dynamically process heat resistance and heat capacity parameters, and establishing a correlation equation with load fluctuation; on the basis of the associated equation, a transient differential equation reflecting the dynamic change of the temperature along with time in the new energy scene is obtained, the real-time temperature difference between the conductor and the environment serves as a core variable, a transient heat balance equation is obtained through optimization, and a cable dynamic heat model is constructed to execute a heat management action on the cable. Therefore, the problems that in the related technology, due to the fact that a steady-state model cannot track the temperature transient process under the dynamic load in real time, temperature prediction lags behind, quantitative correlation is not established for special environment parameters of a new energy scene, environment scene adaptability is poor, and calculation deviation is large are solved.

The invention relates to a liquid cooling system, in particular to a digital twin modeling and online evaluation method and evaluation system for the thermal cycle life of a liquid cooling system. The method comprises the following steps: dispersing a cold plate, a heat exchanger, a pipeline, a pump and a cooled part into a multi-node thermal-fluid network based on a liquid cooling loop structure, and constructing a digital twin model of the liquid cooling system; temperature, flow, pressure and power data are collected in the operation process, a driving model solves the node temperature, and thermal resistance, thermal capacity and a heat exchange coefficient are subjected to self-adaptive correction through online parameter identification; the temperature-time history of virtual measuring points such as key welding spots and interfaces is reconstructed by utilizing the corrected model under the condition of limited sensor arrangement, a thermal cycle spectrum is obtained by adopting rain flow counting, and the life damage degree and the residual life are calculated in combination with a thermal fatigue life model and a Miner linear damage criterion. According to the method, the accuracy and timeliness of thermal cycle life evaluation of the key components of the liquid cooling system are remarkably improved, and preventive maintenance and full-life-cycle management are facilitated.

This application discloses a temperature curve fitting algorithm, including the following steps: (1) preheating temperature control and feature extraction; (2) constant power curve fitting; (3) volume estimation; (4) anomaly handling. The temperature curve fitting algorithm of this application stabilizes to 50℃±3℃ within 10 minutes, and mines the temperature data features of the preheating stage through sliding residual trend analysis, capturing the weak heat capacity influence of small-volume insects in advance, and providing a sensitivity marker for the slope extraction in the subsequent constant power stage; the fitting mode is automatically switched by the slope reduction threshold, which not only retains the accurate extraction of the core slope in the stable segment, but also avoids the fitting distortion in the slowing segment; the fitting benchmark is dynamically corrected by h, rather than relying on a fixed insect-free curve, which effectively offsets the heat dissipation difference interference caused by room temperature fluctuations; when the heat dissipation coefficient estimation is abnormal, it is automatically downgraded to a linear fitting benchmark, and when historical data is insufficient, a backup formula is called to ensure that effective results can still be output under extreme scenarios such as sensor fluctuations and data loss.

The invention discloses a concrete specific heat capacity measuring device and method based on a gradient temperature control circulation method. The system adopts an innovative double-layer heat insulation structure water tank design. The test method comprises three stages: firstly, carrying out an empty box heating test to determine the background heat capacity of the system; then a pre-balanced standard curing test block is put in for a main heating stage; and finally, accurately measuring the heat capacity of the test block through a dynamic balance stage. According to the method, the double-layer heat insulation design and the dynamic equilibrium criterion are creatively combined, the real effective specific heat capacity of the MPCM concrete can be obtained in a complete test block state, the effective specific heat capacity of the MPCM concrete can be directly and accurately quantified on the premise that the real engineering structure form (standard curing test block) of the MPCM concrete is kept, the test precision is improved compared with that of a traditional method, and the method is suitable for popularization and application. The single test time is short, a reliable and efficient test means is provided for thermal performance research and engineering application of the phase change concrete, and the method has universality for testing the specific heat capacity of the concrete material.

This invention discloses a control method for an intelligent fan system, relating to the field of fan control. The method includes: collecting multi-point temperatures of the outdoor heat exchanger coil and calculating subcooling to identify the initial frost period, frost development period, and full frost critical period; actively reducing fan speed and introducing solar water heating circulation when active frost protection conditions are met; calculating the natural temperature drop rate and expected temperature rise rate of the coil, and determining whether active frost protection conditions are met based on the average coil temperature; entering defrost mode when the frost protection time window is too short; using the difference between the solar collector outlet temperature and the average coil temperature as the effective driving temperature difference, calculating the expected temperature rise rate based on the coil heat capacity, and prioritizing the activation of the solar circulation pump to raise the coil temperature after determining that active frost protection conditions are met; and adjusting fan speed in stages according to the pre-frost temperature drop ratio; thus achieving the identification of the frost stage and coordinated control of fan speed, reducing indoor temperature fluctuations.

This invention relates to the field of air conditioning load modeling and parameter identification technology, specifically a method for air conditioning parameter identification and modeling based on a multi-mechanism fusion gray wolf optimization algorithm. The method first collects air conditioning operation data and performs preprocessing and normalization. Then, based on the traditional gray wolf algorithm, it integrates a composite chaotic initialization strategy, a cross-optimization strategy, and a Cauchy inverse cumulative distribution variation strategy to construct a multi-mechanism fusion optimization algorithm. Next, a first-order equivalent thermal parameter model is established, and the algorithm is used to identify the equivalent thermal resistance R and equivalent heat capacity C parameters, with the goal of minimizing the mean square error between the predicted and measured temperatures. Finally, based on the identified parameters, air conditioning load aggregation modeling is performed, and the impact of the diversity of set temperature and initial indoor temperature on aggregated power fluctuations is analyzed. Through algorithm improvement and comprehensive aggregation characteristic analysis, theoretical and technical support is provided for the flexible scheduling of air conditioning loads in modern power systems.

The application discloses a kind of deep coal seam CO2 foam fracturing parameter optimization methods based on phase state regulation, first, build the wellbore flow heat absorption model fusing fluid residence time, mixed heat capacity and formation heat transfer characteristics, accurately calculate well fluid temperature and pressure, according to the calculation result, using Span-Wagner state equation, in combination with carbon dioxide phase diagram determines well fluid real phase state, and carry out indoor true triaxial equivalent simulation experiment and sand-carrying performance experiment with this as boundary condition, according to the result fed back by experiment, by adjusting ground injection displacement and foam quality and other parameters, actively control well fluid phase state, to realize the fine regulation and control of reservoir reconstruction effect.The application can effectively eliminate phase state prediction deviation, realize the active regulation and control of well fluid phase state, significantly improve the fracturing reconstruction volume of deep coalbed gas and single well production.

The application relates to the technical field of intelligent sensors, and discloses a method and system for detecting appearance defects of a covered soil type liquefied hydrocarbon storage tank. The method comprises the following steps: acquiring ground surface temperature distribution data above a soil layer, generating an initial temperature sequence and separating a medium-high frequency disturbance component, determining a soil heat capacity delay effect parameter and correcting the temperature sequence; a super-temperature difference threshold value is used to strip the soil thermal physical influence to obtain a pure thermal anomaly signal; a thermal distribution law is restored and mapped to a three-dimensional coordinate system of the storage tank to determine a preliminary defect boundary; a gradient is calculated to accurately locate a corrosion layer damage position, heat insulation attribute data and a fire risk assessment model are fused to generate an early warning report containing a defect position, a risk level and a processing suggestion. The method can realize accurate and efficient detection of appearance defects of the storage tank and meet the high-precision and continuity requirements of safety monitoring.

The application discloses a kind of temperature detection method, equipment and storage medium of cable conductor, the method includes: cable constructs transient thermal circuit model;Transient thermal circuit model multiple-layer structure includes conductor, insulating layer, inner liner and outer sheath in turn from inside to outside;Under the condition that multiple-layer structure is not coaxial in transient thermal circuit model, the thermal resistance value, heat capacity value of multiple-layer structure in transient thermal circuit model are detected;According to the temperature distribution information of insulating layer before expansion, the thermal resistance value of inner liner is corrected;If correction is completed, according to the temperature value, thermal resistance value and heat capacity value of multiple-layer structure distribution in transient thermal circuit model, target function is constructed;According to target function, the temperature value of conductor is detected.This embodiment considers the expansion of insulating layer to correct the thermal resistance value of inner liner, so as to solve the temperature of conductor, reduce the influence of dynamic load on conductor temperature detection in actual operation, and the accuracy is high.

In the method according to the application, the substance to be tested (FL) is allowed to flow through the pipeline in the specified flow direction, and the wall temperature value X Tw is ascertained, which represents the wall temperature T w of the wall of the lumen of the pipe, which encloses the pipeline. Furthermore, the density value X p of the density p of the substance to be tested flowing in the pipeline, the viscosity value X μ of the viscosity μ of the substance to be tested flowing in the pipeline, the thermal conductivity value X λ of the temperature conductivity λ of the substance to be tested, the heat capacity value X p of the specific heat capacity c cp of the substance to be tested, and the pressure difference value X Δρ of the pressure difference Δρ generated in the substance to be tested flowing in the pipeline in the flow direction are ascertained and then used to ascertain the characteristic number value X V of the characteristic number V of the substance to be tested, which characterizes the heating of the substance to be tested flowing in the pipeline as a result of dissipation, wherein the characteristic number V of the substance to be tested corresponds to the calculation formula: V = f(Δp, p, μ, λ, c p ) = Pr a · ec b · ζ c , which is determined by the Eckert number Ec of the substance to be tested flowing in the pipeline, the Prandtl number Pr of the substance to be tested flowing in the pipeline and the pressure loss coefficient ζ of the pipeline, and by the pipeline-specific first exponent a, the pipeline-specific second exponent b and the pipeline-specific third exponent c. Finally, the temperature value X V representing the temperature T Tw of the substance to be tested is ascertained using the characteristic number value X M and the wall temperature value X TM . For this purpose, the measuring system according to the application additionally comprises a temperature sensor, which is thermally coupled to the lateral surface of the wall for generating a temperature measurement signal, which corresponds to a change in the temperature T w of the wall as a function of a change in at least one signal parameter, and a measuring and operating electronics system, which is electrically connected to the temperature sensor.

The utility model relates to a high-temperature-resistant and high-pressure-resistant sealing ring which comprises a sealing ring assembly, and a plurality of auxiliary mechanisms are annularly and evenly arranged in the sealing ring assembly. The sealing ring assembly comprises a first sealing ring, an interlayer is arranged in the first sealing ring, a plurality of guide grooves are annularly and evenly formed in the inner wall of one side of the first sealing ring, and a second sealing ring is clamped in the interlayer in the first sealing ring. A guide groove in the inner side of the first sealing ring and a guide block on the outer side of the second sealing ring are mutually restrained, so that the possibility of distortion and deformation of a ring body is reduced, an interlayer is formed in the first sealing ring, and the comprehensive heat capacity of the first sealing ring is lower than that of a solid rubber ring; under the same heating condition, the temperature rise speed of the first sealing ring is higher, the temperature difference between the first sealing ring and the surrounding environment is larger, and therefore heat dissipation is better facilitated.