32results about How to "Strong guidance" patented technology

The invention discloses a pollution research and water quality prediction method based on river segmented water environment capacity analysis. The method comprises the following steps: accurately dividing a drainage basin into water environment capacity accounting units; obtaining a river water body image through satellite remote sensing; identifying and quantifying the positions and the intensities of point source and non-point source pollution sources in the drainage basin by utilizing the water quality parameters of the river obtained by the remote sensing image; establishing a river water quality prediction model; calculating the water environment capacity of each river reach under different surface water environment quality standards; comparing the estimated pollutant discharge amount with the water environment capacity under each water quality standard, and judging whether the pollutant discharge amount exceeds the capacity or not; and predicting future water quality change by using the model. According to the method, remote sensing, GIS and machine learning technologies are utilized, rapid analysis of the river segmented water environment capacity and accurate prediction of the water quality are achieved, dependence on a large amount of field sampling and complex software simulation is reduced, and the working efficiency is greatly improved.

The invention belongs to the technical field of land subsidence monitoring and early warning, and relates to a land subsidence prediction method based on a three-dimensional monitoring net, which comprises the following steps: S1, generalizing a hydrogeological structure and quantifying the volume compression coefficient of each layer based on test data of a geological identification hole and observation data of an underground water level monitoring hole, a layered standard hole and a pore water pressure monitoring hole; s2, constructing a three-dimensional groundwater seepage model, and calculating groundwater level spatial distribution data of each aquifer; s3, fitting observation data of the underground water level monitoring hole with a calculation result, and inverting parameters in the three-dimensional underground water seepage model; and S4, operating the inverted groundwater seepage model to obtain groundwater level drawdown and pore water pressure difference spatial distribution data and the like of each water-bearing layer and each water-resisting layer. According to the land subsidence prediction method provided by the invention, the severity of land subsidence can be effectively, quickly and visually judged, the prediction result is high in precision, and land subsidence prediction caused by exploiting underground water at different depths is supported.

The invention discloses a method for calculating an elastic-plastic model of a shield freezing reinforced rock-soil body, which comprises the following steps of: training a support vector machine model by constructing a sample library of the rock-soil body which takes water content and rock-soil body temperature as inputs and takes hardening parameters and softening parameters as outputs; obtaining a support vector machine expression model of hardening parameters and a support vector machine expression model of softening parameters; obtaining a stress-strain constitutive expression of the rock-soil body based on the intelligent agent model; and finally, obtaining an elastic-plastic model of the frozen soil layer of the rock-soil body comprising the intelligent agent model. And in combination with the temperature of the rock-soil body, a ground surface displacement settlement value of frozen shield construction is obtained, and calculation of the elastic-plastic model of the shield frozen reinforced rock-soil body is completed. According to the method, the elastic-plastic mechanics of the soil body is well used, the freezing process and the thawing process are combined, the state of the shield freezing reinforced rock-soil body can be well reflected, the characteristics of freezing, thawing and softening of the soil body are described, and the method has a strong guiding effect on engineering practice.

The invention discloses an ultrasonic guided wave nondestructive testing method for internal and external corrosion of an electric power tower, and belongs to the technical field of electric power tower detection. In order to solve the problem that the use safety of an electric power steel pipe tower is influenced by inclination of the tower caused by damages such as cracks and corrosion, the corrosion condition in the electric power tower can be quickly and accurately detected through an ultrasonic guided wave technology, and the influence of the corrosion condition on the propagation speed is evaluated by utilizing the reciprocity principle of a time reversal method and modal identification. The specific position and range of corrosion in the tower are accurately positioned, rapid detection and defect scanning positioning are achieved, the detection efficiency of the internal and external corrosion conditions of the power transmission line steel pipe tower is improved, rapid and non-destructive flaw detection of the power tower is achieved, and the detection efficiency is improved. The method is widely applicable to detection of corrosion defects of steel pipe fittings of power transmission and distribution lines under goaf areas, settlement-prone zones and various complex geographical conditions, potential safety hazards of electric power towers are found in advance, the ability to solve sudden problems is improved, and the reliable power supply ability is improved.

The invention discloses a quantitative analysis method and system for overheat fault gas of an on-load tap-changer contact. The method comprises the following steps: constructing a multi-physical field coupling mathematical model of an on-load tap-changer, and defining contact resistance of a contact surface; solving the multi-physics field coupling model to obtain time domain and space domain temperature distribution of the surface of the on-load tap-changer contact, and determining the highest temperature and the volume of an overheat region; calculating the local gas production rate of each fault characteristic gas; carrying out integral calculation on local gas production rates of all fault characteristic gases in the hot area volume to obtain theoretical equilibrium concentration of each fault characteristic gas in oil, and constructing a mapping relation between an overheating parameter formed by the contact resistance and the highest temperature of the contact surface and the theoretical equilibrium concentration; the method aims at solving the problems that a traditional analysis method for the gas dissolved in the oil depends on experience criteria and is high in hysteresis quality, breaks through the bottleneck that the whole process of electricity-heat-fluidization cannot be simulated from the mechanism level, and achieves the crossing from qualitative diagnosis to quantitative prediction.

The invention discloses a hybrid power new energy automobile engine in-cylinder pressure simulation calculation method and system, computer equipment and a storage medium. The method comprises the steps that a cylinder cover vibration signal and an in-cylinder pressure signal of a first cycle of an engine are measured, and signal preprocessing is conducted; constructing a transfer function through the vibration signal of the first cycle and the in-cylinder pressure signal; calculating in-cylinder pressure signals of other cycles through the cylinder cover vibration signal and the in-cylinder pressure signal of the first cycle by using the constructed transfer function; and outputting a simulation calculation result. The method is high in simulation degree, efficient and time-saving, can identify the pressure signal in the cylinder without damaging the cylinder cover and installing a high-temperature-resistant and impact-resistant pressure sensor, has great guiding significance for engine bench test and fault diagnosis, and is higher in guidance for engine working performance design.

This invention relates to a SCC mix design method and system based on the shear strength theory of cement paste. Its core lies in establishing a cement paste shear strength prediction model. This model quantitatively evaluates the shear strength of the cement paste under a proposed mix proportion and compares it with a pre-determined reasonable range. Then, through iterative adjustments to the cementitious material composition and water-cement ratio, the shear strength of the cement paste falls within the target range, thereby simultaneously optimizing the paste rheology and determining the final mix proportion. This invention achieves complete quantitative design from aggregate to paste, economically and efficiently preventing SCC segregation and maximizing the use of auxiliary cementitious materials to reduce the cost of self-compacting concrete.

The application discloses a kind of overheat fault gas quantitative analysis method and system of on-load tap-changer contact, the method of the present application includes constructing the multi-physics field coupling mathematical model of on-load tap-changer, define contact surface contact resistance;Solving multi-physics field coupling model obtains the time domain and spatial temperature distribution of on-load tap-changer contact surface, determine the highest temperature and the volume of overheated area;Calculate the local gas production rate of each fault characteristic gas;The local gas production rate of all fault characteristic gases in the volume of hot area is integrated to obtain the theoretical equilibrium concentration of each fault characteristic gas in oil, construct the mapping relationship between the overheating parameters of contact surface contact resistance and highest temperature and theoretical equilibrium concentration.The present application aims to solve the problem that the traditional oil dissolved gas analysis method relies on empirical criterion and has high hysteresis, break through the bottleneck that cannot simulate the whole process of "electric-thermal-flow-chemical" from mechanism level, realize the leap from qualitative diagnosis to quantitative prediction.

The present invention discloses an international multimodal transport method based on a risk assessment model, comprising the following steps: according to known transport network information, appropriate parameters are set to establish a risk assessment model. The risk control cost is calculated according to the risk assessment model, and the total penalty cost model is obtained as a constraint condition by combining the transport cost and the carbon value cost. For the original Black Widow algorithm, a new H‑BWO algorithm is formed by mixing chaos optimization population start and adding an iteration speed control factor to optimize the path planning of international multimodal transport. Finally, a risk avoidance method for multimodal transport is proposed. The present invention can realize the control of the total cost in the process of international multimodal transport, especially the risk cost brought by different paths and different modes of transport, and can better ensure the low carbon nature of international multimodal transport, which has a certain driving effect on the development of green logistics in my country.

The present invention discloses a method for testing the loss tangent tanδ of microwave materials. The method uses a high and low temperature dielectric performance test system to test the loss tangent tanδ of a test sample; first, the first metal ground plate, the test sample, the resonant guide strip, and the second metal ground plate are placed in the sample fixture in sequence; second, the assembled sample fixture is then placed as a whole in the stripline resonant cavity; third, the dielectric constant and the loss factor are measured; fourth, the dielectric constant is calculated; and fifth, the loss factor is calculated. The present invention is used to test the loss tangent tanδ. When the loss tangent tanδ is ≤0.0020, the uncertainty is ≤0.0003; when the loss tangent tanδ is greater than 0.0020, the uncertainty is ≤10%tanδ+0.0003. The practicability of the method is improved, the guidance is stronger, and the accurate test of the loss tangent tanδ of a thinner test sample is achieved.

This invention belongs to the field of engine turbocharger testing technology and discloses a method and system for evaluating the transient response of engine turbochargers. The method includes: test preparation, operating condition setting, transient excitation and data acquisition, calculation of speed increment time, calculation of intake pressure to establish efficiency indicators, and two-dimensional diagnostic evaluation. This invention effectively solves the technical problem that existing evaluation parameters cannot distinguish the root cause of response lag, and has advantages such as accurate positioning and strong guidance. It is particularly suitable for the research and optimization of turbocharger systems with stringent transient response requirements, such as hydrogen fuel cell internal combustion engines.

The invention belongs to the technical field of sensor welding, and discloses a low-stress and low-temperature-rise laser welding process and detection method for a sensor, and the process comprises the following steps: in order to reduce deformation and stress accumulation, designing a welding joint into a symmetrical form, and designing a welding seam gap according to the same or different materials; low-power positioning welding is conducted firstly, then high-power complete welding is conducted, and the energy value of low-power laser pulses is smaller than 50% of the energy value of high-power laser pulses. The problems of stress and temperature rise caused by laser welding in the design and manufacturing process of an existing sensor are solved, and the reliability and stability of a product are improved.

This invention relates to the field of yield strength calculation technology, and in particular to a method for calculating the yield strength of 42CrMo steel used in engineering machinery. The method involves establishing a dimensionless model through data fitting between the yield strength Y1 and the quenching temperature X1, tempering temperature X2, and the mass percentage of Mn element X3: Y1 = 5479 - 2.81X1 - 4.643X2 + 889X3. This invention can accurately reflect the quantitative relationship between the heat treatment process parameters of 42CrMo steel, especially the tempering temperature and the yield strength, enabling the prediction of yield strength. This allows engineers to accurately predict the final properties of the material when formulating the heat treatment process, and to actively and accurately control the yield strength of the material by adjusting the process parameters.

The invention discloses a fluidized bed boiler gas production prediction model generation method, device and equipment and a storage medium, and the method comprises the steps: dividing working condition data into process control type data, raw material type data, raw material physicochemical property type data and product gas information type data; and preprocessing the working condition data in the preset data data updating the process control type data; various data of the working condition data are used as feature data, and a prediction model with the purpose of predicting product gas information is established; the method comprises the following steps: performing multi-dimensional analysis on process control type data, raw material type data and product gas information type data of raw material processing, and preprocessing working condition data; according to the method, the relevance between various data of the raw material data and the product gas information is determined, and the high-accuracy prediction model is established, so that the optimization effect on the gas production performance of the fluidized bed boiler is improved, and the guidance on gas performance optimization is higher.

The invention belongs to the field of petroleum and natural gas development, and particularly relates to a fatigue life prediction method based on drill string dynamic stress, and the method comprises the following steps: inputting basic parameters: the basic parameters comprise a well track, a bottom drilling tool combination, a drill string structure and drilling parameters; according to a Lagrange equation, a drill string system dynamic model is established; node velocity, displacement and acceleration are obtained through a drill string system dynamics model, and drill string dynamic equivalent stress is calculated according to the node velocity, displacement and acceleration; counting a stress amplitude and a stress mean value by adopting a rain flow counting method; correcting the stress amplitude and the stress mean value by adopting a goodman formula; substituting into an S-N curve and calculating to obtain the fatigue life. According to the method, the fatigue life of the whole-well drill string can be analyzed, the fatigue service life of the whole-well drill string under the working condition is predicted through data analysis and processing, the presented result is the specific service time of the drill string, and the method has a very strong guiding effect on field engineering practice.

The invention relates to an ultrasonic spraying process parameter rapid calibration method and system based on dye tracing and image analysis. The method comprises the following steps that selected dye is added into a spraying solution to serve as a tracer agent; ultrasonic spraying equipment is used for spraying on the base material according to preset parameters to form a colored coating; sampling in an effective film forming area of the coating by adopting a standard nine-point method; collecting a color image of each sampling point, and extracting and calculating a color characteristic value corresponding to the color of the tracer agent; based on the average value and the standard deviation of the characteristic values of all the sampling points, the relative thickness and the uniformity of the coating are quantitatively evaluated respectively; and through multiple groups of parameter experiments, a quantitative relation model of the process parameters, the average value and the standard deviation is established, so that an optimal process parameter window is determined. According to the method, dye tracing is adopted, and a low-cost image acquisition and processing means is combined, so that rapid, visual and quantitative calibration of ultrasonic spraying process parameters is realized, and the method is particularly suitable for rapid iterative optimization in process research, development and debugging stages.

The application provides a design method of a reverseable gas turbine sliding bearing tile oil supply device, which comprises the following steps: S1, giving design input; S2, determining the number n of oil supply pipes; S3, determining the diameter phi of the oil supply pipes; S4, determining the positioning size L and alpha of the nozzle; S5, determining the diameter d and the spacing L of the nozzle; S6, calculating the oil flow; and S7, processing the reverseable gas turbine sliding bearing tile oil supply device meeting the design. K The design method scheme is reasonable, the design flow is clear, the guidance is strong, and the efficiency of the reverseable gas turbine sliding bearing tile oil supply device is greatly improved. The application is used in the domestic reverseable gas turbine sliding bearing design for the first time, and has very important reference value in the future gas turbine sliding bearing design.

The invention relates to a method for determining a reasonable operation threshold value of a key parameter of a thermal power unit. The method of the invention mines reasonable operation threshold values ​​of key operation parameters of the unit under different loads, back pressures, circulating water inlet temperatures, unit operation states and the like from historical data of unit operation by means of big data mining. The threshold range is close to normal values ​​of the unit operation parameters and includes almost all normal operation values. Compared with the original alarm values ​​and trip values ​​of a DCS, the threshold range has a stronger guiding effect on operation personnel. The method of the invention can establish a set of auxiliary operation monitoring system to assist operation personnel in monitoring. The system can monitor the operation state of key operation parameters of the unit in real time. Once the parameter operation index exceeds the reasonable threshold operation range, the system will send an alarm message to the operation personnel in real time, reminding the operation personnel in advance to adjust relevant operation parameters, eliminate operation defects in time, and ensure that the thermal power unit is always safely and stably operated.

The invention provides a design method of an inclined-plane thrust tilting pad for a reversing gas turbine. The design method comprises the following steps that S1, bearing design input is given; s2, determining the number z of tiles; s3, determining an inclined plane angle alpha and a plane angle beta of the tile; s4, the slope height size h of the tile slope is determined; s5, verifying the average specific pressure of the inclined-plane thrust tilting pad of the reversing gas turbine; s6, for the oblique-plane thrust tilting pad bearing of the reversing gas turbine, calculating the key parameters of the bearing bush, the oil film gap, the oil film temperature, the lubricating oil amount, the specific pressure and other parameters by adopting ANSYS, a self-programming fluid calculation program or commercial bearing software, and adjusting the number of the pads, the wrap angle and the lubricating oil amount when the design requirements are not met; and the key parameters meet the design requirements. The method is high in applicability, clear in design process and high in guidance, and the efficiency of the oil supply device for the sliding bearing tile of the gas turbine capable of reversing is greatly improved.

The invention relates to the technical field of ultra-high performance concrete, and particularly discloses a method for evaluating the damage degree of ultra-high performance concrete after high temperature, which comprises the following steps: (1) performing traversal coverage on a picture of ultra-high performance concrete after high temperature with the side length of L by using a square box with the side length of delta, finally, N (delta) * N (delta) square boxes with the scale of delta are obtained; (2) calculating the number of pixels containing cracks in the square box with the size of delta * delta divided in the step (1), and then counting the probability density pij (delta) of crack information under different scales delta; (3) introducing a function Dq-q to evaluate the surface crack characteristics of the ultra-high performance concrete after high temperature; and (4) judging the damage degree of the ultra-high performance concrete after high temperature, and defining the value domain of the function Dq-q as a damage value eta. According to the method, the problems of high workload, high danger coefficient and insufficient accuracy of the existing post-fire concrete damage degree evaluation method can be solved.

The application discloses a kind of detection system and comprehensive evaluation method of marine anti-corrosion duration of protective material, the system includes detection component, for simulating salt fog and mechanical vibration transport environment under marine state;Test tooling is used to simulate the structure of easy rusting part in actual marine process;Environment control component is used to simulate the alternating wet and hot environment and carry out real-time monitoring;Imaging component is used to detect the temperature difference of the surface of the test tooling material, identify the rusting area, and record the earliest rusting time of the test tooling.The test tooling designed by the application covers machine-added surface, bolt, threaded hole through hole, threaded hole blind hole and other easy rusting parts, uses infrared thermal imaging technology to periodically scan the test tooling, identifies the damage point and local early rusting of protective material, comprehensively evaluates the anti-corrosion ability of protection scheme, realizes efficient, quantitative and dynamic anti-corrosion ability evaluation, and provides support for rapid screening and process optimization of protective material and protection scheme in marine scenario.

A power generation dispatch monitoring and analysis system includes: a power generation unit; a power generation dispatch unit; a data acquisition unit; a data verification unit; a modeling unit; a power generation dispatch monitoring and analysis model; and an analysis report unit. The present invention comprehensively considers factors such as the power generation capacity, maintenance plan, regional load conditions, and transactions of the units in dispatch operation, and establishes a more comprehensive power generation dispatch monitoring and analysis model, which has strong guidance for the dispatch plan arrangement work of the next dispatch cycle.

The application discloses a metal large-diameter thin plate part machining method and relates to the technical field of grinding and polishing. The method realizes efficient and low-stress thinning by electrochemical grinding of the thin plate, and converts the irregular surface shape of the workpiece into a central symmetric surface shape. Then, the surface shape error is controlled by a chemical mechanical grinding method with surface shape prediction capability, so that the surface shape error of the thin plate is reduced, over-processing is avoided, and resources are saved. In addition, only a general single-side grinding and polishing machine is needed, and the work disc diameter d1 and the thin plate diameter d2 satisfy d2 < d1 <= 2d2, so that the large-diameter thin plate part obtains micron-level surface shape precision, and the equipment cost is reduced. Finally, the electrochemical mechanical polishing realizes high surface quality machining of the thin plate, and on the basis that the surface shape precision is not obviously deteriorated, the surface quality of the machined surface is greatly improved. The application overcomes the problem that the metal large-diameter thin plate is sensitive to force and thermal load, and realizes high surface shape precision and high surface quality machining of the metal large-diameter thin plate.

This invention relates to the fields of clinical laboratory medicine and artificial intelligence, and provides a risk prediction method and device based on machine learning for clinical mass spectrometry. The risk prediction method includes: defining N+M dimensions of features based on a liquid chromatography-tandem mass spectrometry system to obtain an N+M dimension feature vector structure; obtaining a virtual training dataset based on the N+M dimension feature vector structure, acquiring parameter values ​​of each dimension of the current batch through a data acquisition interface, and assembling them into N+M dimension feature vector data; performing format verification and invalid value filtering on the N+M dimension feature vector data using the N+M dimension feature vector structure to obtain a feature matrix; and obtaining a standardized real-time risk score based on the feature matrix and a trained fusion-integrated risk prediction model. This invention utilizes a machine learning model to uncover the complex nonlinear relationship between configuration parameters and dynamic parameters, thereby achieving more accurate and forward-looking risk warnings than traditional single-threshold methods.

The invention relates to a data analysis method and system based on K-line form similarity. The method comprises the following steps: acquiring and preprocessing all K-line data within a specified time period; dividing the K-line data into a training data set and a test data set according to the data length of the target K-line data; calculating the morphological similarity between each group of K-line data in the training data set and the target K-line data, and screening out the K-line data of which the morphological similarity is greater than a first preset threshold to form a similar data set; determining the confidence of the similar data set based on the growth rate of the K-line data in the similar data set; and if the confidence coefficient is greater than a second preset threshold value, screening out the K-line data of which the morphological similarity with the target K-line data is greater than a third set threshold value from the test data set, and outputting the K-line data. According to the scheme, all stocks with relatively high similarity with the target K line form in historical data are exhaustively enumerated, meanwhile, the growth rate and the confidence coefficient are brought into an analysis system, and the analysis method of the scheme is stable and has relatively high guidance.

The invention discloses a coal bed gas horizontal well drilling fluid plugging performance evaluation method, and relates to the technical field of oil and gas exploitation, coal dust and coal gangue returned by a coal bed gas horizontal well are taken, dried and crushed, a cementing agent is added, a glue-containing mixture is prepared, and curing and cutting are performed to obtain a coal rock plate or a coal rock plate with microcracks; a coal rock plate is used as a filtration medium of the plugging instrument, and the measured plugging filtration loss and the plugging filtration loss reduction rate are used as evaluation indexes for evaluating the coal rock plugging anti-collapse performance of the drilling fluid; a coal rock plate with micro-cracks is used as a filtration medium of the plugging instrument, and the measured plugging filtration loss and the plugging filtration loss reduction rate are used as evaluation indexes for evaluating the plugging anti-collapse performance of the drilling fluid on coal rock with micro-crack development, so that the anti-collapse performance of horizontal well water-based drilling fluid such as coal bed gas and the like can be reflected more reliably, quickly and accurately; the method is used for guiding safe and rapid construction of horizontal wells easy to collapse, such as deep coal bed gas and carbonaceous mudstone.

The invention discloses an electric power system investment decision evaluation method and system, a medium and equipment, and the method comprises the steps: carrying out the curve fitting of a power grid development stage through taking the per capita power consumption as an index, and analyzing the change trend of the power grid development level along with time t; analyzing the influence of the novel power system on the power supply side investment structure, the power grid side investment structure, the load side investment structure and the energy storage side investment structure, and respectively constructing power supply side investment demand systems, power grid side investment demand systems, load side investment demand systems and energy storage side investment demand systems which adapt to the novel power system; the investment capacity is measured and calculated, and the investment scale and the power grid investment boundary and range are determined by combining the recent-year investment scale and based on the investment capacity coefficient and the price checking investment coefficient, overall planning the investment capacity, the investment demand, the planning investment, the price checking investment and the electric quantity benefit constraint; a multi-scene power grid investment evaluation index system is formed according to different scenes, a novel power system multi-scene power grid investment effect evaluation model is established, and power grid investment effect dynamic deduction is carried out for typical scenes under the construction of the novel power system.

The invention discloses a dynamic display system for agricultural product retail monitoring, and relates to the technical field of data monitoring. Comprising the steps of 1, capturing commodities and sales data of an e-commerce platform, 2, classifying related commodities according to classification of the commodities by the e-commerce platform in combination with classification standards of agricultural departments and statistical departments on agricultural products, distinguishing agricultural product classifications, defining the agricultural product classifications as first-level classifications, and defining second-level classifications as third-level classifications; 3, according to the first-level classification, the production places of the commodities, the delivery places of the commodities and the names of the commodities in combination with national geographical indication agricultural products and excellent agricultural product standards of all regions, classification with districts and counties + agricultural products as standard names is formed and defined as second-level classification, and 4, according to the second-level classification, the sales volume of each season of each kind of products in the preset age limit is counted, the proportion of the seasons is calculated, and the sales volume of each season is calculated according to the proportion of the seasons. And 5, dynamically displaying the obtained data of the dominant agricultural products and the data of the inferior agricultural products so as to guide related retail behaviors.

The invention discloses a method for evaluating the mechanical strength of anion exchange resin in operation, and belongs to the technical field of detection. The method comprises the following steps of: simply treating the anion exchange resin by using an acid solution, measuring the crushing strength of the anion exchange resin, and comparing the proportion of particles with the crushing strength of less than 1N / particle after the anion exchange resin in operation and the unused anion exchange resin are subjected to acid treatment, and evaluating the reduction degree of the mechanical strength of the anion exchange resin in operation. The method has the advantages of being easy and convenient to operate and high in guidance.

The application belongs to the technical field of electromechanical and hydraulic pressure, and particularly relates to a method for calculating heat transfer of hydraulic pipeline through a fuel tank. The method comprises the following steps: determining whether the flow state of hydraulic oil in the conduit is turbulent flow according to the Reynolds number; if so, calculating the first heat transfer coefficient in the conduit according to the Reynolds number equation, the first Prandtl number equation, the first heat transfer criterion equation and the relationship equation between the first Nusselt number and the heat transfer coefficient; calculating the second heat transfer coefficient outside the conduit according to the second Prandtl number equation, the Grashof number equation, the second heat transfer criterion equation and the relationship equation between the second Nusselt number and the heat transfer coefficient; obtaining the total heat transfer coefficient equation of the pipeline, and calculating the total heat transfer coefficient of the pipeline according to the first heat transfer coefficient, the second heat transfer coefficient and the total heat transfer coefficient equation of the pipeline. The application can quickly obtain the heat transfer coefficient of the hydraulic pipeline, has very high calculation accuracy, has a strong guiding role for the design of the hydraulic pipeline, and has strong engineering practicability.