36 results about "Pressure wave propagation" patented technology

The invention provides a water network monitoring method and system based on intelligent water supply and drainage, and the method comprises the steps: obtaining multi-source heterogeneous monitoring data of a water network in real time, carrying out the unified format conversion and time-space synchronization processing of the multi-source heterogeneous monitoring data based on a protocol adaptive fusion mechanism, and obtaining a standardized multi-source time series data set; performing exception identification processing on the standardized multi-source time sequence data set based on the time-varying statistical characteristics and the dynamic control limit to obtain a candidate exception event set; performing multi-sensor cross validation processing on the candidate abnormal event set based on a pipe network topological space association knowledge graph to obtain a high-confidence abnormal event set; performing reverse scene matching analysis on the high-confidence abnormal event set based on a hydraulic numerical simulation model to obtain a preliminary positioning area; performing positioning optimization processing on the preliminary positioning area based on a graph theory pressure wave propagation algorithm to obtain an abnormal position; and performing multi-dimensional fusion display processing on the abnormal position to generate a monitoring report. According to the method, accurate positioning of the abnormal position is realized.

The invention relates to the technical field of water affair state monitoring and management, in particular to a water affair state online monitoring and management method and system for intelligent water affair, which forms a quantifiable flow direction judgment basis by establishing node-based pressure grading and flow difference, so that a flow path and an intersection proportion are constrained and unified in a calculation level, and the flow direction judgment accuracy is improved. A dynamic evolution structure with time-dependent features is formed, the recognition capability for pressure wave propagation and lagging response is enhanced, multi-feature anomaly synchronous recognition is realized through node pressure anomaly frequency, flow difference rate and long and short-term memory network, random fluctuation false alarms are reduced, the accuracy and stability of anomaly elimination are improved, and the reliability of the system is improved. According to the method, the parameter consistency of a constraint coordination system is ensured, a quantitative stable distribution pattern is formed through matrix calculation of a balance index and a neighborhood influence coefficient and an isolated forest, accurate modeling of a dynamic pipe network is realized, and the anomaly detection sensitivity, the flow direction prediction precision and the operation stability evaluation reliability are improved.

The invention discloses a heat exchange station leak detection positioning system based on a pressure fluctuation rule, and particularly relates to the field of monitoring positioning, and the system comprises a dynamic site selection module which is used for determining the position of a detection point through multi-pipeline parameter cooperative matching; the working condition self-adaptive module is used for dynamically adjusting a sampling strategy according to the operation load of the heat exchange station; the leakage screening module is used for establishing a leakage judgment threshold value in combination with historical data and real-time working conditions; the propagation velocity correction module is used for analyzing the propagation velocity of the pressure waves by integrating medium and pipeline characteristics; the double-constraint positioning module is used for realizing leakage point positioning by combining time difference and characteristic value double constraints; the closed-loop verification and correction module is used for verifying a positioning result through theoretical verification and actual measurement to realize digital and intelligent management; through the three-dimensional coupling feature extraction and multi-working-condition threshold value dynamic correction method, the limitation of single parameter judgment is avoided, the leakage judgment accuracy is improved, and a scientific basis is provided for operation and maintenance decision making.

The invention discloses a drainage pipe network displacement regulation and control method and system and a storage medium, and belongs to the technical field of urban drainage management. The method comprises the following steps: constructing a topological structure model of a drainage pipe network in a target area; acquiring the flow velocity and pressure of each node on the topological structure model to construct a pressure wave calculation model; determining the total pressure of each node according to a pressure wave calculation model; determining the displacement of each node according to the total pressure of each node; determining the water level of each node according to the displacement of each node; determining the maximum safe displacement of each node according to the total displacement of all nodes of the drainage pipe network within the target duration and the water level of each node; and adjusting the displacement of a pump station on the upstream of the drainage pipe network according to the maximum safe displacement of each node. By simulating the propagation and superposition effect of the pressure waves, global optimization regulation is realized, the problem of downstream overflow caused by upstream drainage is avoided, and the operation efficiency and safety of the drainage pipe network are improved.

The invention discloses a fire-fighting pipe network leakage positioning method based on pressure fluctuation, and relates to the technical field of fire-fighting pipe network detection, and the method comprises the steps: obtaining pressure fluctuation signals of at least two target positions with different heights on a target vertical pipe, discretizing the height range of the target vertical pipe according to preset precision, and obtaining a plurality of candidate leakage points, according to a pre-constructed wave velocity field model subjected to air cavity influence correction, calculating a theoretical arrival time sequence of pressure waves generated when each candidate leakage point leaks and propagating to each target position, and extracting actual arrival time characteristics of the pressure waves reaching each target position according to the pressure fluctuation signal; matching the actual arrival time feature with the theoretical arrival time sequence, and determining the candidate leakage point corresponding to the result with the highest matching degree as a real leakage point; the method has the beneficial effects that the problem that the positioning precision is reduced due to wave velocity gradient change and air cavity interference in the high-rise riser is solved, and the method has the advantage of improving the leakage detection reliability and the positioning precision.

The invention discloses a water hammer eliminating device and method based on cloud network intelligent interconnection, and belongs to the technical field of fluid conveying system safety protection. Aiming at the problems of response lag, node isolation, lack of predictive ability and poor fault tolerance of a traditional water hammer elimination device, the invention provides an intelligent protection scheme fusing cloud edge collaboration and physical data hybrid modeling. The device comprises a distributed data acquisition module, a water hammer elimination execution module, an intelligent control module and a cloud platform, real-time fluid parameters are collected, pipe network topological information is combined, the action time sequence is calculated based on the pressure wave propagation speed and the node distance, and pre-action is started before pressure waves arrive; a physical simulation model and an LSTM data driving model are fused to predict the water hammer risk, the safety redundancy time and the execution strategy are dynamically adjusted, and local autonomy and fault tolerance under communication interruption are supported. Millisecond-level pre-action and multi-node cooperative pressure relief are achieved, the water hammer peak pressure is remarkably reduced, and the safety and the intelligent operation and maintenance level of a complex pipe network are improved.

The invention discloses a ground source heat pump buried pipe backfilling compactness real-time monitoring method, and relates to the technical field of ground source heat pump system construction quality control. The method comprises the following steps: acquiring grouting port pressure time sequence data Pin (t), measuring point pore pressure time sequence data Pi (t), slurry density rho and grouting port space coordinates in real time, extracting pressure wave propagation time to calculate the wave velocity, constructing a physical model for describing the corresponding relation between the wave velocity vp and the compactness D, inverting the measuring point compactness, and calculating the density of the grouting port. And a three-dimensional compactness distribution field is generated through spatial interpolation to identify a defect area, and after defect coordinates are converted into global coordinates, the grout supplementing amount and the grouting pressure are calculated, so that directional grout supplementing is achieved. The method is mainly used for real-time monitoring of compactness, accurate defect recognition and targeted reinforcement in ground source heat pump buried pipe backfilling construction, and construction quality is guaranteed.

The invention provides a filling pipeline leakage monitoring and positioning method, device and equipment and a storage medium, and relates to the technical field of pipeline monitoring. The method comprises the following steps: acquiring time-varying data of pressure in a pipeline through a pressure sensing unit, and identifying leakage triggering characteristics; transmitting a pressure pulse wave at the starting end of the pipeline and receiving an echo signal, and calculating a pressure wave propagation speed under the current working condition according to the echo signal; and the arrival time of the pressure waves arriving at the sensors is extracted, and based on the pressure wave propagation speed and the pressure wave arrival time difference, leakage point coordinates are obtained through calculation. According to the method, the leakage characteristics are rapidly identified through real-time pressure collection, the real-time wave velocity under the current working condition is obtained through the active pulse echo technology, and the wave velocity calculation deviation caused by medium characteristic changes is effectively eliminated; and the actually measured wave velocity and the time difference of arrival are combined for calculation, so that error accumulation in long-distance transportation is overcome, and the precision and reliability of pipeline leakage positioning are remarkably improved.

This application provides a control method, apparatus, equipment, medium, and program product for a cleaning device, which can be applied to the field of liquid-cooled server technology. The method includes: determining the pressure difference between a reference pressure value and the real-time pressure value of the fluid at the outlet of a target pump in the cleaning device; processing the pressure difference based on a hysteresis relationship using preset pressure control parameters to determine a speed adjustment signal, wherein the hysteresis relationship indicates the degree of lag between the moment the target pump speed changes and the moment the fluid pressure value change is acquired; controlling the target pump to operate at the speed indicated by the speed adjustment signal to adjust the output flow rate of the target pump, so that the adjusted pressure value is close to the reference pressure value; wherein the pressure control parameters are obtained by simulation calculation of the hysteresis relationship based on the inertial time constant of the fluid at the outlet of the target pump and the pressure wave propagation delay time.

The application discloses a kind of sewer network discharge capacity regulation and control method, system and storage medium, belong to urban drainage management technical field.The method includes constructing the topological structure model of sewer network in target area;The flow rate and pressure of each node on topological structure model are obtained to construct pressure wave calculation model;Total pressure of each node is determined according to pressure wave calculation model;The discharge capacity of each node is determined according to the total pressure of each node;The water level of each node is determined according to the discharge capacity of each node;The maximum safe discharge capacity of each node is determined according to the total discharge capacity of all nodes of sewer network in target time length and the water level of each node;The discharge capacity of upstream pump station of sewer network is adjusted according to the maximum safe discharge capacity of each node.The application realizes global optimization control by simulating pressure wave propagation and superposition effect, avoids the problem of downstream overflow caused by upstream drainage, and improves the efficiency and safety of sewer network operation.

The invention relates to the technical field of pump station regulation and control, and provides a hydraulic optimization control method and system for flow balance between cascade pump stations. The method comprises the following steps: constructing a water diversion association topology through water balance analysis; loading the real-time interval water diversion demand to position M water diversion flows of the M pump stations; the pressure wave propagation process of water diversion demand change is simulated, and transient end flow is output; initial PID weight distribution is calculated according to the deviation between the target flow of the pump station and the water diversion flow; and the initial PID weight is compensated according to the flow deviation of the target tail end and the transient tail end, and independent PID control and pressure sudden change pressure regulation cooperative control are executed. The technical problems that in the flow scheduling process between the cascade pump stations, due to water source changes and pump station flow demand fluctuation, flow balance between the pump stations cannot be accurately adjusted, water resources are wasted, and the efficiency of the cascade pump stations is low are solved, and the purposes that the stability and the flow adjusting efficiency of the cascade pump stations are improved, and the service life of the cascade pump stations is prolonged are achieved. And the technical effect of optimal allocation of water resources is ensured.

The application discloses a kind of methods and systems for locating gas pipeline leakage combined with XGBoost algorithm and negative pressure wave, belong to natural gas pipeline safety guarantee field.The method includes the following steps: 1) by SCADA system reads each valve chamber and station pressure, flow and other signals, and it is preprocessed;2) time series signal is input into pre-trained XGBoost model, and the leakage position and aperture are predicted;3) the flow and pressure of leakage point are calculated;4) determine the pressure drop along the way of upstream and downstream of leakage point;5) the pipeline is segmented and the gas flow rate and pressure wave propagation velocity are calculated segment by segment;6) the signal time difference of front and rear station is calculated, and the position of leakage point is further accurately positioned.The application also has a leakage positioning system, which can be used for real-time detection of pipeline leakage, and quickly locates the leakage point.Compared with the traditional method, the application has the advantages of accurate positioning, clear process and strong operability, and is suitable for application by the person skilled in the art.

The application relates to the technical field of pipeline safety monitoring, in particular to a pipeline intelligent early warning system and method based on leakage monitoring. The pipeline intelligent early warning system comprises a data acquisition unit, a latency detection unit, a pre-emptive response unit and a positioning unit. The data acquisition unit is used for laying a sensor node to collect real-time operation data sets and performing time synchronization. The latency detection unit is used for generating a cumulative deviation amount, determining whether a pipeline enters a leakage latency period according to the cumulative deviation amount, and generating a latency early warning signal. The pre-emptive response unit is used for capturing a response signal, calculating a pre-emptive time window according to the difference between a pressure wave propagation speed and a medium flow speed, and generating a corresponding pre-emptive control strategy. The positioning unit is used for calculating actual coordinates of a leakage point according to the time difference of arrival of the same leakage sound wave signal received by each sensor node. The data updating unit is used for archiving process data to a historical process data set and iteratively processing the latency detection unit. The pipeline leakage early warning is improved in terms of advancement, response speed and positioning accuracy.

This application relates to the field of pump station regulation technology, providing a hydraulic optimization control method and system for flow balance among cascade pump stations. The method includes: constructing a water distribution correlation topology through water balance analysis; loading real-time interval water distribution demand to locate the M water distribution flows of M pump stations; simulating the pressure wave propagation process of water distribution demand changes and outputting transient terminal flow rates; calculating initial PID weight allocation based on the deviation between the target flow rate of the pump station and the water distribution flow rate; compensating the initial PID weights based on the deviation between the target terminal flow rate and the transient terminal flow rate, and executing independent PID control and pressure surge regulation coordinated control. This application solves the technical problem that in the process of flow scheduling among cascade pump stations, due to changes in water source and fluctuations in pump station flow demand, it is impossible to accurately regulate the flow balance among pump stations, leading to water resource waste and low efficiency of cascade pump stations. It achieves the technical effect of improving the stability and flow regulation efficiency of cascade pump stations and ensuring optimal allocation of water resources.

The invention discloses a digital twinning and hanging load coupled well leakage monitoring system and method. According to the system, a full-shaft multi-physics-field coupled digital twinborn model is constructed, a fluid density correction model changing along with pressure and temperature and an unsteady fluid mechanics calculation method are combined, and the theoretical pumping pressure and the theoretical hook hanging load are obtained; based on the deviation between the actually-measured pump pressure and the theoretical pump pressure and the deviation between the actually-measured hook hanging load and the theoretical hook hanging load, a pump pressure-hanging load cooperative judgment mechanism is established, and well leakage state recognition is achieved; determining a well leakage position through a virtual monitoring node arranged along a shaft in combination with pressure wave propagation characteristics; meanwhile, self-adaptive switching of monitoring modes is achieved according to the state of the underground pressure measuring instrument. The accuracy and real-time performance of well leakage identification can be improved, and the influence of temperature and pressure disturbance on the identification result is reduced.

The invention relates to the technical field of abnormal detection of pump turbines, and discloses a method and a product for determining abnormal pressure pulsation of a lower cavity of a runner of a pump turbine, a characteristic frequency set and a signal characteristic data set are identified by combining a fast Fourier transform method and an abnormal identification method, and the spectral analysis precision is improved. Furthermore, the wave velocity and the wavelength are calculated based on variational mode decomposition and phase analysis, and high-precision measurement of the propagation velocity of the pressure wave is achieved. Furthermore, through comparison of frequency, amplitude and wavelength characteristics, an abnormal state judgment result is determined, and the problem of fault positioning fuzziness is solved. Furthermore, dynamic threshold early warning is realized by utilizing the target fault diagnosis model, and the abnormal pressure pulsation attribute of the runner lower cavity of the pump turbine is positioned, so that real-time diagnosis and fault positioning of the abnormal pressure pulsation of the runner lower cavity are realized, and the operation safety and the service life of the unit are improved.

The invention discloses a lithium ion battery thermal runaway safety evaluation method and system, and the method comprises the steps: constructing a coupling test environment of a battery pack, collecting environment adaptation parameters of the battery pack in a preset period, and positioning a thermal runaway trigger point according to the environment adaptation parameters; acquiring an initial energy source parameter of the thermal runaway trigger point, and calculating a sympathetic detonation critical distance based on the initial energy source parameter; positioning an out-of-control spreading point according to environmental adaptation parameters acquired periodically, acquiring a thermal out-of-control time difference between the thermal out-of-control trigger point and the out-of-control spreading point, and calculating a thermal out-of-control spreading speed by combining a coupling test environment; and comparing the sympathetic detonation critical distance with the distance between the adjacent batteries, and judging whether thermal runaway propagation enters a risk propagation stage or not based on a comparison result. Compared with a traditional safety evaluation test, the method has the advantages that the coupling effect of heat accumulation and mechanical shock in an actual scene is reproduced, and quantitative research on sympathetic detonation of adjacent batteries caused by pressure wave propagation is carried out by comparing a sympathetic detonation critical distance with a fixed distance.

The invention relates to the technical field of Internet of Things control, in particular to a control method of a CNC machining center online control system based on the Internet of Things. The method comprises the following steps that a pressure sensor, a bubble detector and a first conductivity sensor are installed at a cutting fluid inlet of each CNC machining center, and a second conductivity sensor is installed at a fluid outlet of each CNC machining center; a micro-amplitude modulation signal with the unique identification frequency is superposed on the rotating speed of the main shaft, so that a tool vibrates to generate a pressure pulsation signal in a cutting fluid pipeline through a machine tool structure; after the pressure sensor detects a pressure pulsation signal, vibration source equipment is determined through spectral analysis; the sound velocity is corrected according to the bubble volume fraction measured by the bubble detector, and the propagation delay of the pressure wave is calculated. Through combination of a bubble acoustic barrier and piezoelectric active compensation, the continuous production capacity of healthy equipment is maintained while fault isolation is guaranteed.

The invention discloses a dynamic pressure balance regulation and control method and system for a water conveying pipeline, and relates to the technical field of fluid conveying control, and the method comprises the following steps: collecting synchronous pressure data of a plurality of monitoring points arranged along the water conveying pipeline, endowing a unified time scale, constructing a pressure change sequence sorted according to time, and a pressure sudden change time point is marked in the pressure change sequence. By constructing a pressure change sequence and a propagation delay record with a unified time scale, the method achieves the recognition of a pressure wave propagation direction and an echo time point, and prevents a reflection echo from being misjudged and repeatedly triggered and adjusted. Meanwhile, by generating an adjustment time window and implementing reverse fine adjustment and asymmetric rollback control, the adjustment action and echo superposition process is interrupted, pressure oscillation is restrained, and the operation stability and safety of the water conveying pipeline are improved.

The invention relates to the field of mine filling, and discloses a water attack prediction method and device for a filling slurry pipeline, equipment and a medium. The method comprises the following steps: constructing a non-Newtonian slurry water attack propagation model of a filling slurry pipeline; on the basis of a non-Newtonian slurry water attack propagation model, key water attack parameters are obtained through a fluid mechanics simulation process, and the key water attack parameters comprise the maximum water attack pressure intensity and the pressure wave propagation distance; observation pressure intensity monitoring data and historical pressure intensity monitoring data are obtained through a pressure sensor, and water attack occurrence criteria are constructed according to the maximum water attack pressure intensity, the pressure wave propagation distance and the historical pressure intensity monitoring data and comprise a main criterion and a statistical criterion; and analyzing the maximum water attack pressure intensity, the pressure wave propagation distance and the observation pressure intensity monitoring data based on the main criterion and the statistical criterion, and predicting whether the filling slurry pipeline has water attack or not. The method has the advantages of being high in calculation efficiency, clear in criterion, high in adaptability and the like, and a powerful guarantee can be provided for safe and stable operation of the mine filling pipeline conveying process.

This invention provides a method for calculating the bulk modulus of elasticity of an ultra-high pressure common rail system. The method includes: constructing an ultra-high pressure common rail system test system; selecting measuring points X and Y; recording the pressure signal curves of measuring points X and Y during injection under fixed camshaft speed, injector pulse width, and high-pressure fuel line length; calculating the ultra-high pressure wave propagation velocity u = L / t under each operating condition; calculating the pressure wave propagation velocity at different fuel pressures and temperatures; calculating the fuel density corresponding to the pressure wave propagation velocity under the corresponding pressure and temperature conditions; obtaining the formula for calculating the bulk modulus of elasticity of the ultra-high pressure common rail system under different fuel pressure and temperature conditions; and verifying the calculation results. The method for calculating the bulk modulus of elasticity of an ultra-high pressure common rail system described in this invention can accurately calculate the bulk modulus of elasticity of the system under different fuel pressure and temperature conditions.

This invention discloses an intelligent monitoring system for petrochemical pipeline corridors based on the Internet of Things (IoT), specifically relating to the field of petrochemical pipeline corridor control technology. The system involves deploying a sensor array in the pipeline corridor to collect data, which is then processed through noise suppression and spatiotemporal alignment to obtain a standardized time-series data stream. The system extracts the spatiotemporal P-matrix of the pressure field and performs singular value decomposition to obtain the dominant mode basis functions. A physical information neural network is trained using full-order flow field data generated through simulation and the standardized time-series data stream to obtain a transient pressure wave propagation prediction model. Based on the pressure wave prediction results, a state vector including pressure gradient, valve wear, and energy efficiency ratio is defined. A distributed strategy library is trained through a priority experience replay mechanism to generate a Pareto optimal control instruction set. A dual closed-loop control mechanism is used to achieve precise adjustment of valve actions and improve disturbance rejection capability, solving the prediction distortion problem caused by neglecting the transient pressure wave propagation characteristics in traditional methods.

The invention belongs to the technical field of metal component detection, and discloses a high-strength anti-seismic bracket performance testing device, which comprises a hydraulic tension testing machine, and an upper driver and a lower driving system which are arranged on the hydraulic tension testing machine. Through cooperation of structures such as the buffer mechanism, fracture stress pushes the first oil tank and the fixing device to ascend and suddenly extrude hydraulic oil into the second oil tank, the fixing device enters the first oil tank, the stress acts on the hydraulic oil in the fixing device, and the flow characteristic of the hydraulic oil can effectively weaken generation of instantaneous stress; the compressibility and the fluidity can disperse the propagation velocity of pressure waves and prolong the stress release time, through flow limitation of the steel pipe and downward thrust of the spring telescopic rod, the flow velocity is reduced, the effect of weakening impact force is enhanced, the stress borne by the spring telescopic rod is weakened by the damper, the stress generated by component breakage is further absorbed, and the service life of the spring telescopic rod is prolonged. And the damage probability of internal electronic elements and structures of the hydraulic tension testing machine is greatly reduced.

The invention discloses a municipal pipeline internal blockage three-dimensional positioning and quantitative evaluation method based on cooperation of pulse pressure waves and ultrasonic guided waves. Comprising the following steps: S1, acquiring basic parameters of a target pipeline and initializing a propagation model; s2, performing pressure wave excitation and multi-point signal acquisition; s3, establishing an in-pipe pressure wave propagation model and introducing blockage equivalent impedance; s4, performing pulse pressure wave-based blockage axial position inversion and blockage degree preliminary quantification; s5, performing ultrasonic guided wave excitation and annular signal acquisition; s6, enabling the blockages attached to the inner wall of the pipe to be equivalent to a local contact stiffness-additional mass-damping system, constructing a circumferential abnormal index, and calculating the circumferential position angle of the blockage, so as to achieve the circumferential accurate positioning of the blockage based on the torsional wave characteristics without reflecting echoes; s7, fusing the pressure wave information and the guided wave information, and performing blockage position three-dimensional schematic reconstruction; and S8, carrying out joint inversion and correction on the blockage degree.

A transducer element comprises an enclosure with a multi-walled frame, walls, and a planar diaphragm. The diaphragm is configured to generally move orthogonally with respect to the directly coupled pressure wave propagation, and it bisects the depth of the enclosure to form two independent acoustic chambers. The enclosure includes lids with ports, at least one port for each chamber. The lids are substantially perpendicular to the diaphragm and separated by the depth of the enclosure. The transducer element may be part of a transducer that utilizes multiple elements with similar designs to produce higher volume displacement, allowing for higher SPL output when used in loudspeaker applications. Additional planar diaphragms may also be present in each transducer element.

This invention provides a modular construction device and method for a pressure drainage system, relating to the field of drainage system construction technology. The method includes: determining a set of modules to be installed in the pressure drainage system using a module determination component; establishing an initial pressure field model of the construction area and calculating the pressure gradient field of the construction area using a pressure gradient field calculation component; performing module docking priority analysis on the set of modules to be installed using a docking priority analysis component; identifying pressure wave propagation prediction data for each module interface using a pressure wave propagation analysis component; and acquiring pneumatic execution parameters and buffer control parameters for controlling the operation of pneumatic actuators and elastic buffers using a control parameter acquisition component. This invention solves the technical problems of difficult construction, low efficiency, and difficulty in guaranteeing docking accuracy in existing pressure drainage systems. It achieves optimal docking sequence and parameter optimization in the construction of the pressure drainage system, ensuring safe, efficient, and accurate construction.

The application belongs to the field of fluid mechanics, and particularly relates to a pipeline system pressure fluctuation physical mechanism simulation method and system, which comprises a pipeline topology structure accurate modeling step, adopts a parameterized modeling method and a graph theory organization strategy to perform standardized modeling on pipeline accessories; a fluid-structure coupling multi-physical field coupling modeling step, which integrates pipeline wall elastic deformation, fluid compressibility and viscous dissipation effect into a unified coupling analysis framework; and a pressure wave propagation solving step based on an improved characteristic line method, the system comprising a topology modeling module, a fluid-structure coupling modeling module, a pressure wave solving module, a path tracking module, a working condition switching module, a parameter calibration module, a data management module and a visualization display module, the application can accurately reflect the actual propagation behavior of pressure waves in a pipeline with a complex topology structure, significantly improve the simulation accuracy and maintain high prediction ability during working condition switching.

The application discloses an intelligent collaborative switching control system and method for a multi-diameter valve flow channel, which collects full working condition operation data of a multi-diameter valve system, extracts valve switching characteristic parameters, and establishes a flow channel mapping relationship between diameters; based on the mapping relationship and the switching characteristics, a cascade action chain containing time sequence dependence is constructed, and the action sequence and trigger conditions of each diameter are determined; by analyzing the pressure distribution and flow velocity change in the cascade action chain, water hammer strength is predicted, reverse pressure wave parameters are designed, and water hammer offset control instructions are generated; the high and low pressure area distribution in the flow field is identified, a flow field complementary collaborative scheme is constructed, and a pressure balance control strategy is generated; the superposition elimination point is determined by analyzing the pressure wave propagation path, the pressure pulse resonance characteristics are extracted, and time sequence control parameters are generated; the time sequence control parameters are matched with the cascade action chain, the synchronous control node is determined by delay compensation, and the time-sharing control sequence is generated to realize intelligent collaborative switching of the multi-diameter valve flow channel.

The invention relates to a train auxiliary air cylinder pressure prediction method and device, equipment, a medium and a program product, and relates to the technical field of railway train braking. The method comprises the steps that under the condition that a data acquisition period is updated, pressure change data of an auxiliary air cylinder of a train in the last period are obtained; performing feature extraction processing on the pressure change data through a multi-scale expansion feature extraction module of a pre-trained auxiliary air cylinder pressure prediction model to obtain a plurality of pressure time sequence features; the multi-scale expansion feature extraction module comprises a plurality of convolution branches, and each convolution branch is provided with a preset expansion rate; the preset expansion rate is determined according to the length of the train, the pressure wave propagation speed of the train and the sampling frequency of the pressure change data; and performing prediction processing on each pressure time sequence characteristic through a prediction module of a pre-trained auxiliary air cylinder pressure prediction model to obtain pressure change prediction data of the auxiliary air cylinder of the train in the current period. The method can improve the prediction accuracy of the pressure change data of the auxiliary air cylinder.

The application discloses a real-time monitoring method for backfill compactness of a ground source heat pump buried pipe, and relates to the technical field of construction quality control of a ground source heat pump system. P in ( t )、measuring point pore pressure time series data P i ( t )、slurry density p and grouting hole spatial coordinates, extracting pressure wave propagation time to calculate wave velocity, constructing a physical model describing the corresponding relationship between wave velocity v p and compactness D , inverting the compactness of the measuring point, generating a three-dimensional compactness distribution field through spatial interpolation to identify a defect area, converting the defect coordinates into global coordinates to calculate the grouting amount and grouting pressure, and realizing directional grouting. The application is mainly used for real-time monitoring of compactness, accurate identification of defects and targeted reinforcement in the backfill construction of a ground source heat pump buried pipe, thereby guaranteeing the construction quality.