28 results about "Flow computation" patented technology

The invention discloses a meter and valve integrated structure optimization and flow calculation method based on computational fluid mechanics, and belongs to the technical field of intelligent measurement and control valve simulation, and the optimization method comprises the following steps: S1, carrying out Boolean operation on a three-dimensional model of a typical opening degree of meter and valve integrated, and obtaining an accurate flow field model; s2, performing grid division on the accurate flow field model; s3, establishing a numerical model after grid division; s4, performing numerical calculation on the flow field model after mesh division by using a numerical model; s5, determining the position of a pressure measuring point according to a numerical calculation result, and obtaining a final optimization model of the meter-valve integrated structure. By adopting the method, the meter-valve integrated complex flow field structure can be captured at high precision, the flow field calculation precision is remarkably improved, rapid iterative optimization of the valve structure is supported, and pressure difference and flow data of the pressure measuring point can be accurately output. And an efficient and reliable numerical simulation means is provided for the optimization design of a meter and valve integrated structure, flow field regulation and control and flow characteristic analysis.

The invention discloses a flow measurement and analysis system in a multiphase flow environment, and relates to the technical field of flow measurement, the system comprises a flow pattern identification module, a parameter acquisition module, a coupling mapping model module, an incremental learning module, a residual error correction module and a flow calculation output module; through cooperation of the flow pattern recognition module and the coupling mapping model module, compensation logic is dynamically switched, precise compensation of flow pattern and working condition adaptation is achieved, complex scenes such as medium component fluctuation and temperature and pressure sudden change are automatically adapted through the incremental learning module, the defect that in the prior art, adaptability to complex working conditions is poor is overcome, and the working condition accuracy is improved. According to the method, the working condition adaptation capacity of the system is improved, flow pattern conversion lag errors and sensor signal noise interference are corrected at the same time through a multi-scale residual error correction algorithm, the consistency and reliability of flow measurement results are guaranteed, finally, the precision and stability of multi-phase flow measurement are remarkably improved, and the actual requirements of industrial production are met.

The invention relates to the technical field of intelligent logistics and transportation management, and particularly discloses a multimodal transport goods source allocation system based on data analysis. The system comprises a data access and fusion module, a data quality governance and enhancement module, a time-space association and flow calculation module, a critical path and hub identification module and a dynamic transport capacity allocation decision module, and multi-source data integration, quality governance, time sequence association verification, critical path identification and dynamic transport capacity allocation are carried out. The accurate description of the flow direction of the goods source and the dynamic adaptation of the transport capacity resources are realized, and the operation efficiency and reliability of the multimodal transport system are improved.

The invention provides a five-point type heat supply secondary network balance adjustment method and system. The method comprises the steps that a multi-dimensional database based on building thermal parameters and user heat consumption modes is constructed; inputting the position of a node to be adjusted to a multi-dimensional database, and outputting feature data; inputting the feature data to a flow calculation model, and outputting a node flow reference value corresponding to the position of the node to be adjusted; detecting the actually measured flow of the position of the node to be adjusted; and adjusting the valve opening degree of the node position to be adjusted based on a comparison result of the actually measured flow and the node flow reference value. The multi-dimensional database and the flow calculation model are combined to generate the theoretical flow reference value, and then the valve opening is adjusted according to the actually measured flow data, so that accurate balance adjustment of the heat supply secondary network is achieved, the heat supply secondary network does not need to be transformed, the manual intervention amount is reduced, and the problem that in the prior art, the adjustment efficiency of the heat supply secondary network is low is solved.

The embodiment of the invention provides a flow meter firmware upgrading method and device and a flow meter. The method comprises the following steps: receiving a firmware upgrade package issued by a cloud server; analyzing the firmware upgrade package to obtain target data for firmware upgrade; switching the metering program to a standby metering upgrading area for continuous metering, and executing firmware updating on the main program area based on the target data; during the operation period of the standby metering upgrading area, calculating a temporary cumulative increment based on the recorded updating starting time information, the corresponding instantaneous flow rate and the collected instantaneous flow rate; and after updating is completed, switching back to the main program area, and performing metering error compensation based on the metering cumulant corresponding to the updating start time information and the temporary cumulative increment. Non-stop upgrading of the flowmeter is achieved, metering interruption is avoided, the metering precision is guaranteed through compensation, and the maintenance cost is reduced.

The utility model discloses a flow monitoring device and a flow monitoring system, which relate to the technical field of electrical equipment maintenance, and are characterized in that a first display device is used for displaying a second flow value expected to be received by a flow computer and a third flow value actually received by the flow computer; whether the data acquisition accuracy of the flow computer is qualified or not can be accurately verified by comparing whether the second flow value is equal to the third flow value or not; similarly, the first display device further displays a fourth flow value expected to be output by the flow computer, the universal meter can display a fifth flow value actually output by the flow computer, and whether the data output accuracy of the flow computer is qualified or not can be accurately verified by comparing whether the fourth flow value is equal to the fifth flow value or not; in addition, according to the scheme, whether the flow computer successfully receives the flow value transmitted by the flow sensor or not and whether the universal meter successfully receives the flow value transmitted by the flow computer or not can accurately verify whether the equipment function of the flow computer has a fault or not.

The invention provides a horizontal well flow determination method, electronic equipment, a storage medium and a program product, and the method comprises the steps that flow interpretation chart information is obtained according to a water holding rate experimental value, a flow reference value and temperature difference response information, and the flow interpretation chart information represents the corresponding relation between the flow reference value and the temperature difference response information under the water holding rate experimental value; according to the response theoretical information of the array temperature difference flow meter and the actual water holding rate value, a flow theoretical value is obtained, and the flow theoretical value is the theoretical flow of the horizontal well determined based on the operation state of the array temperature difference flow meter; according to the actual water holding rate value and the flow interpretation chart information, a flow calculation value is obtained; according to the flow calculation value and the flow theoretical value, a flow true value is obtained, and the flow true value is the actual flow of the horizontal well. The flow calculation value is optimized through the flow theoretical value, the flow true value is obtained, and the problem that the fluid flow determined only based on the flow explanation chart is inaccurate is solved.

The application provides a method and a device for determining the degree of EGR blockage. The method comprises: obtaining EGR parameters and engine parameters at multiple time points in a predetermined time period to obtain current EGR parameters and current engine parameters; analyzing the current EGR parameters and the current engine parameters using an LSTM neural network model to determine the current EGR flow, wherein the LSTM neural network model is obtained by machine learning training using multiple sets of data, each set of data in the multiple sets of data comprising: historical EGR parameters, historical engine parameters and historical EGR flow; calculating the variance of the current EGR flow, calculating the deviation index of the current EGR flow according to the variance, obtaining a preset threshold, and determining the degree of EGR blockage according to the size relationship between the deviation index and the preset threshold. Through the application, the problem that the EGR monitoring method in the prior art cannot accurately monitor the degree of EGR blockage is solved.

The invention relates to the technical field of oil exploration, in particular to a prediction model processing method and an oil well yield calculation method.The method comprises the steps that well testing data of a target well and measured data of multiphase flow corresponding to the well testing data are received; when the target well does not have the corresponding flow calculation network model, the well testing data are substituted into a preset mathematical calculation model for prediction, and prediction data of the multiphase flow are obtained; when the difference value between the measured data and the predicted data of the multiphase flow does not meet the difference value condition, correcting the mathematical calculation model to obtain a first correction calculation model; generating a training set by using the first correction calculation model to train a neural network model so as to obtain a flow calculation network model of the target well; and sending the flow calculation network model of the target well to the edge calculation equipment. According to the method, real-time prediction can be carried out more accurately and timely based on well data collected on a production site, and instant feedback is provided for production decision making.

The invention provides a thermal power generating unit full-load heat storage capacity identification method and system, and the method comprises the steps: obtaining historical operation data of a thermal power generating unit, carrying out the preprocessing of the historical operation data, and constructing an input sequence and a target sequence according to the preprocessed historical operation data; by taking the input sequence as input and the target sequence as output, constructing a thermal power generating unit model based on an Attention-LSTM neural network; thermodynamic constraint correction is conducted on the predicted main steam temperature and the predicted main steam pressure, a main steam enthalpy value is obtained according to the corrected main steam temperature and the corrected main steam pressure, and a predicted value of the heat storage capacity of the thermal power generating unit is calculated according to the main steam enthalpy value and the predicted main steam flow. According to the method, efficient data support can be provided for online operation control and flexibility optimization of the unit, and real-time optimization adjustment and operation safety guarantee of the thermal power unit can be achieved.

The present disclosure relates to the technical field of communication, and in particular to a traffic calculation method, device, storage medium and program product. The method comprises the following steps: acquiring a user individuality coefficient of a user in a set historical time range and a traffic quota contained in a communication package purchased by the user; and calculating a gift traffic quota of the user based on a user value coefficient, the traffic quota and a set adjustment coefficient. By using the scheme of the present application, the user can be dynamically and differentially gifted with the traffic quota.

Embodiments of the present disclosure relate to a traffic computer remote terminal unit with a modular software architecture. A method includes executing, by a traffic remote terminal unit (RTU) management system, a plurality of application instances, the plurality of application instances managing one or more industrial operations at an industrial facility; and receiving, by an enabling framework of the RTU management system, input device information associated with the one or more industrial operations from one or more input devices from the industrial facility. The enable framework manages a plurality of application instances executed by the traffic RTU management system, and the enable framework is partitioned in memory separately from the plurality of application instances. The method further includes determining, from the plurality of application instances, one or more application instances utilizing the input device information based on a scheduler using the enable framework; and providing, by the framework-enabled scheduler, the input device information provision to the determined one or more application instances.

The present disclosure belongs to the technical field of reservoir regulation, and provides a smooth inflow calculation method, system, storage medium and electronic device, the method comprising collecting reservoir hydrological data, processing the reservoir hydrological data and determining original data; generating sample data according to the original data and constructing a sample set, dividing the sample set into a training set and a test set; constructing a flow prediction model, training the flow prediction model using the training set, and determining an optimal parameter model; obtaining analysis flow data and future forecast flow data, using the optimal parameter model, generating simulated smooth flow according to the analysis flow data and the future forecast flow data. In the process of predicting the inflow, the smooth work of the inflow is simulated, the prediction accuracy and stability of the inflow are improved, and the labor cost is reduced.

To provide a virtual flow rate calculation device, a virtual flow rate calculation method, and a virtual flow rate calculation program that estimate the amount of flow noise generated at an electrode based on a density of a fluid and / or a fraction of a multiphase flow, a distribution state and an uneven distribution state of particles dispersed in the fluid, electromotive force effect of an electrical insulator, and electromotive force effect of an electrical insulator.SOLUTION: A virtual flow rate calculation device 100 functioning as a virtual Coriolis flowmeter includes an environmental information storage unit that stores environmental information indicating an environment of the real space in which a flow rate sensor is instrumented, a physical property information storage unit that stores physical property information indicating physical properties of a fluid to be measured, a simulation unit that uses the environmental information and the physical property information to simulate a flow phenomenon of a multiphase flow in the fluid in a virtual space that reproduces the real space, and a calculation unit that calculates a virtual flow rate obtained by estimating an actual flow rate measured by the flow rate sensor based on the simulation results.SELECTED DRAWING: Figure 10

The application discloses a flow calculation method of a multi-path ultrasonic flowmeter, and aims at the fixed weight function flow integral method of a traditional multi-path time difference method ultrasonic flowmeter, which cannot meet the flow measurement accuracy under chaotic flow states caused by complex and changeable operation conditions of large pump stations. j and average flow velocities v at different heights ji , the average flow velocities v at different heights under typical operation conditions are established ji -flow Q j database, the flow values of the typical operation conditions are weighted and integrated based on the correlation analysis of the measured average flow velocities and the average flow velocities at the relative heights of the typical operation conditions, the flow value of the measured operation condition is obtained, and therefore the measurement accuracy of the flow integral algorithm of the multi-path time difference method ultrasonic flowmeter under extreme operation conditions of large pump stations is improved.

The application discloses a kind of suspended embankment flowmeter computing system, belong to suspended embankment flowmeter technical field, including;Specifically including main selection type computing program and four auxiliary conversion subprogram;The main selection type computing program is equipped with circular pipeline, rectangular pipeline flow calculation unit, and the integrated wedge flowmeter, venturi flowmeter selection type computing algorithm;The main selection type computing program generates flow-out coefficient correction model according to suspended embankment flowmeter throttling piece multi-working condition test data, and the flow coefficient and differential pressure range are calculated based on flow empty height-diameter ratio h / D or equivalent aperture ratio d / D, and output flowmeter processing size, working condition flow, differential pressure data and differential pressure transmitter debugging parameter;The modularization architecture of the application is adopted single main program is matched with four special auxiliary subprograms, can be simultaneously realized circular pipeline, rectangular pipeline two kinds of pipe cross section accounting, compatible venturi, wedge two kinds of throttling flowmeter selection type, break the limitation that traditional software can only single model, single pipeline calculation.

The invention provides a capsule type impeller assembly and a flow calculation method thereof, and relates to the technical field of flow analysis, and the capsule type impeller assembly comprises a flow guide device, an impeller assembly, a capsule shell, a rotating shaft and a magnet; the flow guiding device is connected with the rotating shaft, the rotating shaft is connected with the impeller assembly and the magnet, and the flow guiding device, the rotating shaft, the magnet and the impeller assembly are all packaged in the capsule shell. The capsule type impeller assembly is in wireless communication connection with the cloud computing platform, flow calculation analysis is conducted through the cloud computing platform, flow calculation data are obtained, precise packaging and flow calculation of the impeller assembly are achieved, and sealing performance and calculation accuracy are enhanced.

The application discloses a kind of methods for determining the running flow of whitewater course training ground, comprising the following steps: S1, according to the application scene of training ground, the training demand is divided into different grades;S2, for the different training grades divided in S1, respectively determine the corresponding hydraulic parameter target value;S3, in combination with the plane layout of water channel, the calculation width B of water channel and the control section parameter of the transition section upstream or downstream of obstacle area are preliminarily determined;S4, according to the hydraulic parameter target value determined in S2 and the section parameter determined in S3, establish flow calculation model, calculate the running flow Q corresponding to each training grade is obtained.The application is through demand classification and parameter determination step, complex flow pattern simulation problem is transformed into hydraulic parameter matching problem based on training grade, get rid of the excessive dependence of traditional method on " trial and error-verification" cycle of overall computational fluid dynamics model or physical model, significantly shorten design cycle, reduce early test cost.

The invention discloses an application identification and flow calculation method based on a DNS (Domain Name Server) and NetFlow. The method comprises the following steps: step 1) filtering request data initiated by a non-user in the DNS; step 2), the DNS and the NetFlow are grouped according to users; step 3), sorting DNS (Domain Name Server) and NetFlow data of the same user; 4) identifying the application accessed by the user through the DNS, and calculating the flow generated when the user accesses the application through the NetFlow; and step 5) processing application identification and flow calculation of unassociated user access behaviors. According to the method, accurate identification of the application and accurate calculation of the traffic are realized by associating the DNS data recording the user behavior with the NetFlow recording the traffic data. Meanwhile, the scale of data needing to be processed is reduced by a plurality of orders of magnitude by using the sampling characteristic of NetFlow, and the calculation load is greatly reduced.

The invention relates to a flow control method for a cabinet-level pump-driven two-phase flow cooling system, and belongs to the technical field of cooling systems. Comprising a pump set, a shell and tube condenser, 2-16 cabinet cold plate branches, a condenser inlet temperature and pressure sensor, a condenser outlet temperature and pressure sensor, a flow meter and an electric control valve, wherein the pump set is applied to a cabinet-level pump-driven two-phase flow cooling system and comprises two pumps which are connected in parallel; the method further comprises the following steps: S1, collecting multiple parameters; s2, dynamic target flow calculation; s3, multi-dimensional closed-loop flow regulation is carried out; s4, pump set-flow cooperative control is carried out; and S5, blocking and cavitation early warning and self-repairing are carried out. According to the flow control method of the cabinet-level pump-driven two-phase flow cooling system, through multi-parameter collection and dynamic target flow calculation and in combination with PID closed-loop adjustment, real-time matching of the flow and the thermal load is achieved, and the heat dissipation efficiency is improved; by adopting a flow-temperature-pressure three-parameter decoupling PID control strategy, the response speed of the system can be effectively improved.

In one implementation, a device queries an ontology that represents entities in a computer network and their relationships for a particular topology in the computer network. The device computes a mathematical system that represents traffic in the particular topology, based on traffic for only a portion of the particular topology. The device uses the mathematical system to compute traffic in the particular topology for a potential change to the particular topology expected to reduce energy consumption by the computer network. The device causes, based in part on the traffic computed using the mathematical system, the potential change to be made to the computer network.

The application discloses a kind of real-time parallel variable frequency pump group flow calculation methods, this method can not rely on flowmeter, realize parallel variable frequency pump group main road / each branch flow calculation. Using pump real-time power data, based on the head-flow characteristic and efficiency-flow characteristic of pump containing variable frequency working condition, the possible flow value of each variable frequency pump branch of parallel pump group is calculated and obtained, combined with pump group flow calculation evaluation system including pump group flow matching, head matching and running stability matching, the pump group flow combination scheme with highest reliability is selected, and pump group flow data is output.The application can be used for the flow calculation of different types and different operating states of pump, and has good effect for the flow calculation of pump in different operating conditions, and establishes an important foundation for the development of pump group optimization control.

This application provides a flow meter firmware upgrade method, apparatus, and flow meter. The method includes: receiving a firmware upgrade package from a cloud server; parsing the firmware upgrade package to obtain target data for the firmware upgrade; switching the metering program to a standby metering upgrade area for continuous metering, and performing a firmware update on the main program area based on the target data; calculating a temporary cumulative increment based on the recorded update start time information and its corresponding instantaneous flow rate, as well as the collected instantaneous flow rate, during operation in the standby metering upgrade area; and switching back to the main program area after the update is completed, performing metering error compensation based on the metering cumulative amount corresponding to the update start time information and the temporary cumulative increment. This method enables uninterrupted flow meter upgrades, avoids metering interruptions, ensures metering accuracy through compensation, and reduces maintenance costs.

The application provides a layered flow calculation method and system based on DTS logging data, which can improve the inversion accuracy of DTS logging layered flow, simplify the analysis and calculation process, and improve the accuracy of the calculation result. The method comprises the following steps: collecting the shut-in temperature and the open-in temperature of each sampling point of each layer of the formation, and drawing a shut-in temperature curve and an open-in temperature curve according to the shut-in temperature and the open-in temperature, wherein the formation comprises a perforated layer and a non-perforated layer; obtaining the temperature difference of the perforated layer and the temperature difference of the non-perforated layer, and calculating the difference between the temperature difference of the perforated layer and the temperature difference of the non-perforated layer as a pure temperature difference; calculating the flow of each sampling point of the perforated layer according to the pure temperature difference; and calculating the layered flow of each layer of the formation according to the number of sampling points of the perforated layer and the flow of each sampling point.

The invention discloses a flow calculation method and system for a single-sided film throttler based on fluid-structure interaction and small deflection theories. According to the method, three ideal assumptions in a traditional model are abandoned, a regional small deflection theory is innovatively adopted for modeling diaphragm deformation, meanwhile, the actual distribution rule of oil film gaps in the radial direction and the nonlinear distribution characteristic of a pressure field are comprehensively considered, and a set of corrected flow-resistance coupling control equation set is constructed. By simultaneously solving the equation set, the flow characteristic of the throttler under the actual working condition can be accurately predicted. A verification result shows that a calculation result of the method is highly matched with finite element fluid-solid coupling simulation data based on Ansys, and the method has relatively high reliability and accuracy. The theoretical model and the analysis method established by the invention can provide effective theoretical support for forward design and performance optimization of the high-performance single-sided thin film throttler, and have important engineering application value for improving the overall performance of an ultra-precise hydrostatic guideway system and high-end equipment.

A method includes executing, by a flow remote terminal unit (RTU) management system, a plurality of application instances that manage one or more industrial operations at an industrial facility; and receiving, from one or more input devices at the industrial facility and by an enablement framework of the RTU management system, input device information associated with the one or more industrial operations. The enablement framework manages the plurality of applications instances being executed by the flow RTU management system, and the enablement framework is partitioned separately in memory from the plurality of application instances. The method also includes determining, based on using a dispatcher of the enablement framework, one or more application instances, from the plurality of application instances, that utilize the input device information; and providing, by the dispatcher of the enablement framework, the input device information to the determined one or more application instances.

The invention relates to a real-time data lake construction and intelligent analysis engine based on incremental flow computation, which initiates a flow state sensing intelligent routing mechanism, and dynamically allocates processing strategies according to data flow velocity characteristics; quantization increment state management is adopted, and second-level state recovery and fine-grained state control are achieved. And constructing a cognitive adaptive compression algorithm, and intelligently selecting an optimal compression strategy based on a data type. The system integrates a heterogeneous calculation engine, supports multi-mode hybrid calculation such as vectorization, graph calculation and AI reasoning, and realizes stream batch integrated processing through a Delta materialized view. The implementation effect shows that the end-to-end processing delay is reduced from 500ms to 50ms, the storage cost is reduced by more than 60%, the resource utilization rate is improved to 85%, million-level event processing per second and PB-level data real-time analysis are supported, and unified real-time data processing capacity is provided for scenes such as e-commerce, finance and the Internet of Things.