Temperature Distribution Curve Research Articles

Understanding photo-thermal and melting mechanisms in optical charging of nano and micro particles laden organic PCMs

Engineering efficient optical charging process necessitates efficient photo-thermal energy conversion, transfer, as well as storage of the incident solar radiant energy. The present work is a determining step in deciphering, quantifying, and understanding the aforementioned steps involved in the optical charging of PCMs. Herein, the effect of particle size, concentration and thermochromism have been critically investigated. In particular, detailed optical characterization and photo-thermal experimentation pertinent to non-thermochromic nanoparticles laden PCM (referred to as NP-PCM) and thermochromic micro capsules laden PCM (referred to as TMCP-PCM) has been undertaken. Detailed optical analysis points out that opposed to NP-PCM, TMCP-PCM significantly scatter the incident radiations – the diffuse transmittance (at room temperature) in the two cases being approximately 2 % and 39 % respectively. Furthermore, whereas, optical properties of non-thermochromic nanoparticles are nearly invariant to temperature changes; in the case of thermochromic microcapsules, the magnitude of scattering further increases and diffuse transmittance reaches as high as 51 % at elevated temperatures. Although, thermochromism helps in enhancing the penetration depth at elevated temperatures, but, due to significant fraction of scattering, the photo-thermal energy conversion is not that effective. In terms of temperature field, spatial-temporal temperature distribution curves reveal that temperature spread (in the liquid phase) in case of optical charging of non-thermochromic particles (carbon soot nanoparticles) laden PCMs is significantly high (as high as approximately 24 °C) relative to that observed in case of thermochromic particles (microcapsules) laden PCMs (approximately, 4 °C). The magnitude of the temperature spread (being representative of the deviation from thermostatic optical charging) clearly points out that opposed to non-thermochromic laden PCMs, nearly thermostatic optical charging can be achieved in case of thermochromic particles laden PCMs.Furthermore, in case of optical charging without thermochromic assistance, the temperature spread, peak temperatures and the melting rates increase with increase in particles concentration. Whereas, in the latter case, although the temperature spread and peak temperatures are nearly independent; the melting rates do depend on the particles’ concentration. Overall, the present work is a significant step towards accelerated-thermostatic thermal energy storage.

Experimental Investigation of Two-Pass Solar Dryer with V-Corrugated Absorber for Potato Slice Drying

Reducing the moisture level of food items can help prevent bacterial development and deterioration, extend shelf life, reduce packaging, and improve storage for convenient transportation. In this paper, a two-pass solar dryer with V-Corrugated absorber plate is developed. Its experimental performance evaluation in forced convection is carried out for potato chip drying. Various parameters like Hourly Variation of Solar Radiation Intensity, Temperature Distribution Curves inside Solar Dryer, Collector Efficiency Curve, Hourly Mass Loss of Potato Slices and Moisture Removal Comparison with Conventional Open Sun Drying Method are calculated and presented graphically. The peak temperature of the absorber plate reached 69.30C, and the air temperature at the collector outlet recorded the highest value at 57.50C. The average temperature difference of 28.580C is obtained for heat transfer by convection between the modified corrugated absorber plate and the air. An important finding in this experimental investigation was that there is an average 6.50C difference in temperature between the hot air exiting the collector and the air available at the bottom of the lower tray of the drying chamber, which should be reduced by applying means of avoiding heat loss. The highest collector efficiency is calculated as 88.9 % at 2 PM. The lowest efficiency is calculated at 9 AM as 66.8 %. The thermal inertia of the system adds to the collector efficiency in the last 2 hours of the experimentation and hence collector performs better than in the morning hours, though the insolation is nearly the same for the first and last two hours of sunshine. The percentage reduction in drying time was found to be 38.9 % for 50 % moisture removal from potato slices as compared to open sun drying.

Experimental Study of a Temperature Field in a Shut-in Well in Relation to Determining Behind-the-Casing Flow Using Active Thermometry

Abstract —This paper presents results of experimental studies of a thermal field in the barrel of a shut-in (no fluid movement in the casing) well in relation to determining a behind-the-casing upward flow using the method of active thermometry. The studies are carried out using the physical model of a well that is a vertically located steel pipe with a system of externally attached copper tubes simulating a behind-the-casing flow. The pipe contains a local heating section, above which a temperature probe is located to record thermal disturbance from the heating section. The effect of free convection in a fluid on the temperature field in the pipe during and after heating is described. It is revealed that there are high-frequency temperature oscillations on sensors that record the temperature of the inner surface (wall) of the pipe and fluid above the heating area, whose value reaches higher than 2 °C and decreases when the distance to the heating region becomes longer. There is an empirical relationship that relates the time of arrival of the temperature disturbance front associated with free convection and the distance to the pipe heating region. Azimuthal temperature distribution curves on the inner wall of the pipe above the heating section are constructed in the absence and presence of a behind-the-casing flow. Qualitative criteria have been obtained indicating the presence of an azimuthally localized behind-the-casing flow (sector flow) of fluid based on the azimuthal temperature distribution analysis.

Fault diagnosis method for arrester in infrared images based on improved U-Net

Conducting target detection on arresters in practical settings is challenging due to complex backgrounds and occlusion by surrounding objects. This study proposes a method based on improved U-Net for segmenting arresters in infrared images, and achieves fault diagnosis by obtaining surface temperature of the arrester. Firstly, traditional standard convolution in the U-Net backbone is replaced with depthwise separable convolution, reducing computational complexity to about 11% of the original. Secondly, ECA is introduced in the skip connection section to enable cross-channel information exchange, improving segmentation accuracy by 3.21%. Thirdly, to reduce potential errors during the conversion of grayscale images into temperature maps, the data file storage format defined in DL/T 664 is adopted, ensuring the accuracy of the temperature matrix obtained for the arrester. Finally, three fault diagnosis methods based on the surface temperature distribution curve of the arrester were proposed, and the effectiveness of the methods was verified through experiments.

Temperature Distribution Curve Analysis on Concrete through LS-DYNA

The development and importance of tunnels are increasing worldwide, and countries like Korea, where about 70% of the total land is covered with mountain regions, need more tunnel constructions to connect different routes of roads for safe and efficient transport. This study applied fire to the 200 mm × 200 mm × 200 mm concrete specimens, similar to the Rijkswaterstaat (RWS) fire, through an electric furnace. Thermocouples were placed inside the specimens to analyze the temperature during the occurrence of fire. Experimental and simulation thermal analysis during the occurrence of fire was analyzed. The experimental temperature at different depths agreed with the simulation results. Different international fire curves were applied to study the temperature inside the concrete through simulation by LS-DYNA. Concrete with different thicknesses of fireproof board was analyzed through simulation, and using fireproof board reduces the inside temperature during fire occurrence. Among the studied international fire curves, modified hydrocarbon fire curves had a high-temperature effect on concrete.

Research on temperature of high-speed train axle box bearing considering lubrication state evolution and vehicle dynamics response

The temperature of axle box bearing is always one of the indicators used to monitor whether the high-speed train is running safely. In this paper, a thermal model of axle box bearing considering the change of bearing lubrication state and the operating condition of the high-speed train was established. Based on the analysis of the generation mechanism of frictional heat inside the bearing, the influence of proportion of grease involved in lubrication was introduced for the first time and a detailed temperature transfer system of the axle box system was established. At the same time, through the axle box bearing-vehicle system dynamics model, the vertical and lateral loads of the axle box bearing under different operating condition were obtained as input parameters of the axle box bearing thermal model, the temperature distribution curve of the bearing under different operating conditions was obtained. Finally, based on the long-term wireless transmission device system (WTDS) temperature monitoring data, the calculation results of the established model were verified. The verification results showed the reliability of the model established in this paper, and showed the necessity of considering the change of the internal lubrication state of the bearing when evaluating the axle box bearing temperature.

Study on the influence of local optical field amplification effect on laser-induced damage of fused silica materials

Fused silica is an important part of optical components in large laser systems. Due to the limitation of manufacturing process, impurities and defects in the optical element would greatly reduce the service life of the optical element, and significantly reduce the final output of the laser performance. Aiming at the modulation effect of the internal defect of the component on the internal optical field of the component, the theoretical, simulation and experimental research are carried out. The results show that in the double-bubble impurity coupling, under the same radius R, when the impurity spacing is 1 λ, the local optical field amplification has a maximum value. The effect is equivalent to single-bubble modulation with radius 2 R–3 R. There is an extreme point of the modulated optical field between the air and fused silica crossing line for bubble impurities of different radii. The optical field modulation of small radius impurities is distributed behind the bubble impurities, and the modulation effect of large radius impurities is the maximum when the spacing is 2 λ. The temperature distribution curve of the fused silica element modulated by bubble impurities is consistent with the optical field distribution curve, showing a trend of decreasing slope. The presence of bubble impurities will cause the surface combustion wave of the component to flash and accelerate, and the bubble impurities will increase the generation and expansion rate of the surface combustion wave. This study provides a basis for reducing the uneven distribution of laser energy during the interaction between laser and fused silica, improving the lifetime of the overall optical system, and experimental measurement and analysis.

Digital twin modeling method of the temperature field of thermo-compression bonding blade based on generative adversarial networks

In this paper, a novel method of using deep learning to construct a digital twin of the thermos-compression bonding blade`s temperature field is presented. Usually, a heat transfer model based on numerical analysis can calculate the heat distribution in the welding process, but its complex modeling process and heavy computational effort are not appropriate for the deployment of the digital twin concept. The approach proposed in this paper is distinctive because it directly converts the collected process sensor data into the bonding blade's temperature field images and the bonding surface's temperature distribution curves for monitoring the welding process. This is achieved by training the generator and discriminator of the conditional depth convolutional generative adversarial network separately. The network is then capable of predicting the bonding blade's heat distribution within a certain range of welding parameters. Compared to methods based on numerical simulation, this approach is far more effective. Training and testing datasets were created to assess the suggested method's efficacy. Multi-scale structural similarity index, structural similarity index, peak signal-to-noise ratio, difference hash and mean absolute error were used to evaluate the simulations' quality. The results show that the simulation's results and the actual data agree quite well. The temperature changes that occur during the welding process may be quickly and accurately simulated using the proposed technology.

Numerical analysis on combustion characteristics of diffusion jet flame under different gravity environments

To study the combustion characteristics of turbulent jet flames under different gravity environments, the centerline temperature distribution curve and air entrainment rate of turbulent jet flame from microgravity to hyper gravity was carried out by CFD simulation. Five different gravity values have been considered. The simulation results show that the flame temperature decreases with the increase of gravity in the intermittent flame region and plume region. The maximum temperature decreases with the increase of gravity, while their position decreases accordingly. The evolution of air entrainment has been analyzed under different gravity environments. Based on the hydroxyl concentration distribution, a correlation of flame height has been obtained through dimensionless analysis. The evolution of air entrainment has been described under different heat release rate and gravity environments.

Three-way maximized net power output from alkaline membrane fuel cell stacks

This work uses an experimentally validated mathematical model to maximize alkaline membrane fuel cell (AMFC) stacks net power output. Temperature distribution, efficiency, polarization, and power output curves are obtained. Fundamental optimization opportunities exist for the internal and external structure, which led to a two-way optimized AMFC stack for maximized net power. After system optimization, a parametric analysis was carried out for electrolyte KOH mass fraction, stoichiometric ratios and total fuel cell stack size (volume). KOH content was shown to lead to a third optimum, i.e., 40 wt %. The three-way optimized AMFC stack (ξs=1.37×10−3, y = 40 wt% KOH)opt was shown to be independent of the stoichiometric ratio and stack size variation, but (ξy/ξx=ξz/ξx)opt was affected by total stack volume (or size). In fact, it was found that the three-way maximized dimensionless AMFC stack net power output rises as the stack volume rises in a path that is well correlated by W˜net,mmm×10−3=36.266V˜T0.74, which is similar to the allometric law of nature that correlates basal metabolic rate (BMR, W) and body mass (mb,kg) for living beings, i.e., BMR∼mb0.74, that could be understood as an indication that inanimate and animate systems follow the same evolution laws.

Analysis of the first and second laws of thermodynamics for MHD two-phase natural convection of water/Fe2O3 ferro-nanofluids in a 3D baffled enclosure

The study of the flow of nanofluids (NFs) in the presence of external fields and the effect of these fields on the heat transfer rate of NFs is the subject of engineering and medical science. Magnetic fields are among the external fields applied to fluids. These fields receive a lot of attention in recent years due to their specific features and applications. This study conducts a numerical investigation of the natural convection of water/ Fe2O3 NFs in nanoparticle volume fractions of φ =0, 2, and 4% =0, 2, and 4% in a baffled l-shaped enclosure under a magnetic field. Calculations with different magnetic field intensities are examined. The natural convection is considered laminar and examined at different Rayleigh numbers. The effects of geometric shape changes (baffle displacement) on the heat transfer and entropy generation rates (S˙g) are also investigated. This study is mainly conducted to investigate the effect of the proposed parameters on the NF flow, heat transfer, average and local Nusselt numbers, the curves of velocity distribution and dimensionless temperature distribution, and S˙g. According to the results, increasing the Rayleigh number causes an increase in the temperature difference between hot and cold surfaces and intensification of the buoyancy currents. This increases local and average heat transfer and S˙g. Nuave increases by 59.20 and 38.168%, respectively, with an increase in the Rayleigh number from 104 to 105 and 106 in φ=4%. The results also showed that increasing the φ and magnetic field intensity decreases heat transfer and increases S˙g. So that in Ra=104 and 105, the S˙g increases from about 40 to 75 with increasing the φ and in Ra=106 the S˙g increases from about 8000 to 15,000. This can be attributed mainly to the reduction in the intensity of buoyancy currents. In general, any factor that increases heat transfer causes an increase in S˙g. The Nuave increases 4.64 and 9.29% 4.64 and 9.29% with increasing the φ from φ=0 to 2.4% in Ha= 40.

Temperature distribution of shale oil wellbore considering oil-based mud and formation fluid displacement

Oil-based mud is widely used in shale oil well drilling because of its good stability and high temperature resistance at high temperature. However, during the drilling process of shale oil wells, fluid displacement between the annulus and the formation occurs. The existing temperature field model cannot predict the temperature distribution of the wellbore annulus under this condition. Based on the equations of heat conduction and conservation of energy, a new model of wellbore heat transfer in shale oil wells considering the displacement between downhole fluids is established in this paper. By comparing the temperature distribution of annular fluid under normal circulation, lost circulation and overflow, the accuracy of this model is confirmed. Taking the parameters of a shale oil well in a certain area as an example, the factors that affect the temperature of the annular fluid are analyzed and solved. Numerical analysis and simulation results show that the flow rate remains unchanged, and the annular temperature decreases by about 1.42 °C/L when the flow rate of the annulus increases. As the specific heat capacity of shale oil increases, the annular temperature increases by about 0.0012 °C/J/(kg·°C). In addition, when displacement between fluids occurs in the upper open-hole segment, there is an inflection point on the temperature distribution curve of the annular fluid, and the location of the inflection point is consistent with the location of the fluid displacement point. The results can provide a theoretical reference for drilling in complex formations with frequent formation-annulus fluid displacement, leakage and overflow.

EXPERIMENTAL STUDY OF THE THERMAL FIELD IN THE WELLBORE DURING INDUCTION

One of the promising methods of geophysical survey of existing wells is active thermometry. The technology for conducting studies by this method includes artificial heating of a section of a metal casing (for example, induction), registration and analysis of temperature changes in the range of thermal exposure. As a result of heat exchange with the heated section of the column, a thermal disturbance is created in the fluid flow moving inside the column or in the behind-the-casing flow channel. The analysis of non-stationary temperature in the process of induction action allows solving actual practical problems, for example, determining the presence of fluid overflows in the space behind the casing string. The paper presents the results of an experimental study of the temperature field in a well with an artificial heat source in relation to the determination of behind-the-casing fluid flows. The azimuth-localized behind-the-casing flow "from bottom to top" in the well sump to the lower working formation is considered. It is shown that the temperature of the metal string itself, which is recorded by temperature sensors pressed against the string and distributed along the azimuth, provides the most information in terms of detecting behind-the-casing fluid movement, the sensitivity of the temperature of the fluid in the casing string to the presence of overflow is much lower. On the curves of the azimuthal temperature distribution of the column, the sector with overflow is marked by a lower temperature relative to other sectors, which is due to the removal of heat from the column due to the behind-the-casing fluid movement. The results of experimental studies have shown that it is possible to determine the behind-the-casing flow by measuring the temperature field directly in the heating interval, as well as upstream of the heater, and both measurements during heating and after the heater is stopped are informative. It has been established that the magnitude of the temperature anomalies formed due to the flow is about several degrees, in this regard, the results of temperature measurements can be confidently used to determine the intervals of behind-the-casing fluid movement in the well.

Numerical Simulation on Smoke Temperature Distribution in a Large Indoor Pedestrian Street Fire

In order to study the characteristics of fire smoke spread and temperature distribution of a large indoor pedestrian street under different heat release rates and smoke exhaust modes, this paper focuses on the analysis of fire smoke spread, visibility, smoke temperature distribution and variation curves in an atrium. This paper uses a numerical simulation method to conduct research. PyroSim fire simulation software is used to calculate this project, which is based on a full-scale experimental design scheme. The numerical simulation results show that under the conditions of higher heat release rate, the smoke spread rate is greater than that under the conditions of lower heat release rate. Furthermore, the average temperature of smoke in the atrium is also greater, up to about 400 °C. The conditions of a higher heat release rate also show the characteristics of faster generation, faster spread and a larger volume of smoke. When the smoke exhaust system is turned on, the thickness of the smoke layer and the smoke temperature decrease. There then comes a situation where the stabile section of the fire ends in advance. The simulation results of vertical temperature distribution in an atrium can fit the modified McCaffrey plume model in any case. Under all cases, the smoke temperature reaches the maximum directly above the fire source. The horizontal dimensionless smoke temperature rises under the atrium roof, and decreases exponentially with the dimensionless distance from the fire source. The greater the heat release rate of fire source is, the smaller the attenuation coefficient is, with a more than 50% change. When the smoke exhaust system is turned on, the smoke flow accelerates and the smoke is cooled rapidly. Thus, the attenuation coefficient increases. Additionally, the effect of mechanical smoke exhaust is better than natural smoke exhaust, because mechanical smoke exhaust makes air flow and heat exchange more intense. The variation amplitudes of the attenuation coefficient under natural smoke exhaust and mechanical smoke exhaust are 13% and 22%, respectively.

Modeling and control method of combined heat and power plant with integrated hot water storage tank

To enhance the flexibility of conventional power plants, a dynamic mathematical model of a combined heat and power unit is developed and verified in this study using field data, and the maximum relative error is less than 5%. Subsequently, the dynamic characteristics of the coal-fired power plant with the hot water storage tank are studied, and the temperature distribution curve inside the hot water storage tank is obtained. Finally, a new coordinated control system with an integrated hot water storage tank is designed. The new coordinated control system reduces the fluctuation in the heating load caused by the unit in the process of changing the load. The integral of absolute value of the error criterion and integral of time multiplied by the squared error criterion results for unit loads at different variable load rates are at least 200 and 50,000 lower compared to conventional control methods. This study provides a new solution to the problem that the current conventional turbine and boiler coordinated control system cannot address the difficulty of renewable energy power consumption, which is important for the safe and stable power grid operation after the large-scale grid connection of renewable energy power.

A Probabilistic Neural Network Measurement Method for Multispectral High Dynamic Temperature

Among various temperature measurement technologies, Multispectral thermometry is a better method to measure temperature under complex conditions. To solve the problems in the multi-spectral temperature measurement technology, which included the detector’s non-linear sensitivity characteristics, consistency calibration, data processing, etc., this paper, based on the previous research and development of the multi-spectral dynamic temperature measurement system, realized data acquisition of the dynamic temperature in 20us sample rates within 1550~2000 Celsius, and then the dynamic measurement data is processed by the probabilistic neural network (PNN). Finally, temperature measurement system realized the accuracy of the measurement error less than 1.1%. The results show that the PNN neural network can fit the temperature distribution curve better and faster, and can be better applied to the miniaturization of the temperature measurement system.

Modelling and simulation of a photovoltaic module using finite element method: transient analysis

Modelling and simulation play a very important role in developing photovoltaic (PV) devices and designing PV systems. The aim of this study is to develop a transient 2-D finite element (FE) thermal model to simulate the thermal performance of PV modules. The developed model is validated using experimental data obtained from a PV module and results of previous studies. To evaluate the performance of the proposed model, various tests were conducted under different environmental and operating conditions. The obtained results indicate that the model presented in this work can achieve good precision compared to the experimental data and provides a good energy performance assessment regarding the studied configuration. The temperature distribution curves showed that the solar cell layer possessed the highest temperature. Also, the findings demonstrate that when the tedlar back sheet thickness increased, the thermal resistance increased, and when the tedlar thickness decreased, the module temperature rose linearly. Thin tedlar back sheet layer is helpful to reduce the module temperature and enhance output power. The proposed model in this work is generic and can be applied to any type of PV technology or configuration. Highlights A transient 2-D finite element (FE) based thermal model that accurately estimates the thermal performance of the PV module. A detailed theoretical model based on the finite element method predict the behaviour of the PV module. Temperature distribution of the solar cell layer and the highest module temperature was investigated to analyse thermal performance of the module.

МОДЕЛИРОВАНИЕ ТЕМПЕРАТУРНОГО РАСПРЕДЕЛЕНИЯ НА ПЕРЕДНЕЙ ПОВЕРХНОСТИ ТОКАРНОГО РЕЗЦА С УЧЁТОМ ГЕОМЕТРИЧЕСКИХ ПАРАМЕТРОВ ЗОНЫ ВТОРИЧНЫХ ПЛАСТИЧЕСКИХ ДЕФОРМАЦИЙ

The study objective: modeling of the temperature distribution along the front surface of the lathe cutter for a given moment of the cutting system evolution.
 The problem to which the paper is devoted. To evaluate the influence of the geometric parameters of the secondary plastic zone of on the characteristics of the temperature distribution for the front surface of the lathe cutter. 
 Research methods. Geometric parameters of the plastically deformed layer are defined by digital modeling of contact processes by the finite element method. Some initial data for computer modeling and subsequent verification of its results are carried out on the basis of a full-scale experiment with longitudinal turning of a work piece made of stainless steel 12X18H9T with a T15K6 solid-alloy plate.
 The novelty of the work. Prediction of the temperature on the cutter front surface for a given moment of the cutting system evolution based on a scientific approach of using hydrodynamic analogies to the evaluation of deformation processes in the machined material and combined data of a full-scale and digital experiment. 
 The study results. By means of a digital experiment, the boundaries of the secondary plastic zone in the chip are determined, then a temperature distribution curve is made on the cutter front surface in two variants: for variable and for a constant average thickness of the deformed layer. It is found that the average value of the contact temperature in both cases differs slightly and agrees well with the results of the full-scale experiment. The difference between the maximum temperature values is significant: with a variable layer thickness, the calculated temperature is 11% lower than for the variant with a constant value of this parameter. 
 Conclusions: to calculate the average temperature in the secondary plastic zone, the average value of the deformed layer thickness can be used. In the case of solving problems related to determining the maximum temperature in the cutting zone, it is advisable to take into account the change in the thickness of the plastically deformed layer in the chip along the cutter front surface.

ON THE DEPENDENCE OF THE TEMPERATURE INTENSITY OF HEAT TRANSFER IN MULTILAYER ENCLOSURE STRUCTURES IN THE CONDITIONS OF NORTHERN KAZAKHSTAN

"The article presents studies on the intensity of the influence of temperature on the heat transfer inside the cement sandwich panel, taking into account the intensity of the influence of temperatures in the ranges of positive and negative values when determining the temperature distribution curve inside Protective construction for climatic conditions in Northern Kazakhstan. Three-layer cement sandwich wall panels, which contain basalt wool and foam polystyrene materials as insulation layer, are considered. The research was carried out using the computer program «Comsol Multiphysics» using the method of finite elements. The study of temperature change kinetics according to the thickness of the structures of two types of cement sandwich panels with the aim of revealing sharp temperature changes affecting the processes of material destruction. It has been shown that the temperature influence during the transmission of the heat flow under both decreasing and increasing temperature conditions flows under softer conditions during the passage of the heat flow through a structure comprising basalt wool as an insulating agent. Keywords: temperature, heat transfer, intensity of action, enclosing structure, insulation. "

Research on splicing method of temperature distribution curve of EHV–UHV long string porcelain insulators

The infrared thermal image detection method has unique advantages in the field of low zero value diagnosis of porcelain insulators. However, since the length of the extra–ultra-high voltage (EHV–UHV) porcelain insulator string can reach more than 10 m, it is difficult for common industrial thermal imagers/airborne lenses to clearly capture the infrared spectrum of the full string of EHV–UHV porcelain insulators. In order to solve this problem, this paper proposes a two-segment temperature curve splicing method based on weighted data fusion. The method avoids the problem of missing targets existing in conventional infrared image splicing methods and has higher fitting accuracy than curve splicing methods such as rounding splicing and midpoint splicing. This paper takes a 1000 kV insulator string as an example to illustrate the basic algorithm and process of the proposed curve splicing method and takes a 500 kV insulator string as an example to carry out a comparative study of various curve splicing methods, which verifies the effectiveness and feasibility of the proposed method.