14results about How to "Strong guidance" patented technology

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.

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.

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 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 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 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 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 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.