10 results about "Pressure propagation" patented technology

The invention discloses a water supply network node pressure dynamic prediction and analysis method and system, and relates to the technical field of water supply network intelligent monitoring, and the method comprises the steps: obtaining topological structure data, historical pressure and flow time sequence data of a water supply network, and generating a pressure flow characteristic matrix through multi-dimensional analysis; performing time sequence dimension reduction on the feature matrix, and extracting time dimension features to construct an optimized feature vector; inputting the optimized feature vector into a variable structure deep neural network for training to obtain a pressure prediction model; analyzing the feature matrix to identify peak periods, and dividing peak interval feature vectors; constructing a pressure propagation space topological graph based on the peak interval feature vector, and calculating a pressure propagation time delay correlation degree to generate a correction coefficient; and inputting the feature vector into a prediction model to obtain an initial prediction value, and generating a dynamic pressure prediction result in combination with the correction coefficient and the topological structure data. The pressure prediction accuracy of the water supply network is improved.

The application provides a water turbine flat pressure pipe cavitation erosion suppression structure based on pressure propagation timing control, which comprises a pipeline installation base and a flat pressure pipe inlet structure. The flat pressure pipe inlet structure is provided with a bottom plate part and a pipe body. A plurality of first through holes are arranged on the outer side of the pipe body along the circumference of the bottom plate part. A plurality of second through holes are arranged on the outer side of the first through holes along the circumference. A plurality of third connection interfaces are arranged on the pipe body along the length and the circumference. The pipeline installation base comprises a sleeve part. A flange part is arranged at one end of the sleeve part. The sleeve part is sleeved on the outer side of the pipe body. The sleeve part is provided with a plurality of third connection interfaces aligned with the third through holes. The flange part is provided with a plurality of first connection interfaces and second connection interfaces aligned with the first through holes and the second through holes. A pressure wave conducting pipe is communicated at each second connection interface. The other end of the pressure wave conducting pipe is closed. A plurality of communication openings are arranged on the pressure wave conducting pipe along the length direction. A plurality of timing adjustment pipes are further arranged. One end of each timing adjustment pipe is communicated with the third connection interface. The other end of each timing adjustment pipe is communicated with the first connection interface or the communication opening.

The invention discloses a multi-point jet flow self-adaptive grading pressure relief control system and method, and relates to the technical field of pressure relief control, and the system comprises a multi-sensor array module, a data processing module, a three-dimensional dynamic pressure field modeling module, a control decision module and a multi-point jet flow execution module. The multi-sensor array module is arranged in a key area of a pressure relief object and used for collecting pressure, temperature and flow velocity data of a jet point in real time. According to the invention, multi-dimensional data are collected through a multi-sensor array, a three-dimensional dynamic pressure field model is constructed, a pressure propagation rule is analyzed in combination with an intelligent algorithm, and precise decoupling control of jet point pressure is realized; the problems that in the prior art, triggering depends on a static pressure threshold value, a complex time-varying pressure field cannot be adapted, and pressure relief lag or excessive adjustment is prone to occurring are solved, precise adaption of a pressure relief strategy and dynamic changes of the pressure field is achieved, the accuracy and reliability of pressure relief control are improved, stable and safe operation of the system is guaranteed, and meanwhile the energy utilization efficiency is optimized.

A geothermal power system generates electricity using a geothermal fluid. The geothermal fluid is produced from, and then injected into, fractures in a subterranean formation such that pressures inside the fractures are maintained between the corresponding closure pressures propagation pressures of the fractures. In some aspects, the fractures are devoid of proppant, and are maintained open by the pressure of the fluid within the fractures.

The application provides a shale gas fracturing horizontal well recoverable reserve evaluation method and system based on a double-zone composite material balance, which is based on basic data of a shale gas fracturing horizontal well, and pressure propagation distance of a fracturing reconstruction zone and distance of pressure drop funnel propagation to an unreconstructed zone outside are calculated according to time step information and a pressure propagation mechanism, and then dynamic reserves of the double-zone are calculated, and shale gas reservoir material balance models are respectively established; shale gas well productivity coefficients and crossflow coefficients of the outer zone to the SRV zone of the fracturing horizontal well are calculated in combination with the basic data; current iteration step production is calculated and cumulative production data is calculated in combination with the shale gas well productivity coefficients and the crossflow coefficients of the outer zone to the SRV zone of the fracturing horizontal well based on average formation pressure results of the shale gas reservoir double-zone coupling material balance model iterative solution. By using the scheme, the problems of application limitation and low operation efficiency of the prior art can be overcome, and productivity mechanism dynamic prediction production data of the reconstruction zone and the outer zone are considered.

The application discloses an injection scheme optimization method and device for saline aquifer carbon dioxide storage, wherein a plurality of wells are arranged in the device, and a plurality of pressure sensors and CO2 concentration sensors are arranged around each well. In each injection scheme, different well numbers are selected, and injection work is carried out at different injection rates; the pressure increment and CO2 plume change in the device are monitored by the pressure sensors and the CO2 concentration sensors, data are recorded, and a relationship curve between the pressure propagation radius and the CO2 plume radius and the injection time is obtained; according to a relationship formula of the CO2 injection rate and the bottom hole pressure increment, the maximum injection time is calculated in combination with the limit pressure increment, the maximum CO2 storage amount under each scheme is obtained, the values in each scheme are compared, and the maximum value is selected; the well number n and the injection rate corresponding to the maximum value are the optimal injection scheme under the premise of guaranteeing the reservoir stability.

This invention provides a method and system for acquiring and remotely monitoring abdominal pressure data during breech external valgus reversal, relating to the field of medical monitoring technology. The method includes acquiring a pressure event stream with temporal and locational information through a pressure sensing layer within the abdominal binder, constructing a pressure propagation path map, and calculating path offset features. Multi-dimensional features are extracted from the pressure event stream to generate an operational behavior feature vector, and a state transition model is constructed. The model extrapolates and predicts subsequent operations, and a risk assessment result is generated and uploaded to a remote platform based on a safety threshold. The platform then generates and issues operational intervention commands, achieving real-time, quantitative monitoring and remote safety early warning of the breech external valgus reversal operation process.

This invention discloses a hydraulic analysis method for the start-up and shutdown process of an impulse turbine in the field of hydropower station energy dispatching technology. By acquiring the unit's structural parameters and operating conditions, a three-dimensional fluid computational domain is constructed, including nozzles, deflectors, jet regions, and runner regions, and basic flow control equations are established. Based on this, a turbulence model is introduced to correct the flow characteristics, a gas-liquid two-phase flow model is introduced to regulate the phase interface evolution, and wall functions are combined to correct near-wall flow. Furthermore, the influence of the weak compressibility of water on pressure propagation is considered through density functions, thereby constructing a numerical analysis model coupled with multiple physical factors. This invention can improve the accuracy of hydraulic characteristic analysis, making the analysis results closer to actual operating conditions, and providing a basis for unit operation regulation and performance evaluation.

The application discloses an oil and gas pipeline leakage intelligent detection and early warning positioning method, which comprises the following steps: acquiring pipeline vibration wave, pressure change and temperature field signals along the line through multi-dimensional signal cooperative acquisition, inputting the signals into a spectral space attention detection network for spatial and spectral dimension joint feature mining, and generating a high-dimensional leakage feature vector; calling a ground penetrating radar signal inversion model to analyze the change of medium electromagnetic parameters around the pipeline, positioning the preliminary range of the potential leakage area, and simultaneously establishing a pressure propagation and distance mapping relationship by using a pressure curve distance positioning algorithm; inputting the inversion result and the positioning result into a pipeline leakage intelligent early warning decision platform for multi-source data fusion verification, outputting accurate leakage position coordinates and leakage degree characteristic parameters, and forming a complete technical link from signal acquisition, feature mining, inversion positioning to fusion decision, so that the accuracy of leakage detection and the timeliness of early warning response are improved.