8584 results about "Water pressure" patented technology

The invention discloses a multi-modal data fusion-based high dam underwater defect measurement method, which comprises the following steps of: obtaining water flow velocity data, water pressure data and water quality turbidity data, performing preprocessing by adopting a self-adaptive median filtering algorithm, and constructing a hydrodynamic field feature model; then generating an initial trajectory based on the hydrodynamic field feature model and detection target area data, and performing trajectory optimization and stability evaluation in combination with dynamic constraint conditions; adjusting sonar parameters according to the turbidity influence and the trajectory parameters to perform data acquisition; carrying out space-time alignment through extended Kalman filtering, and carrying out feature fusion and optimization by adopting an attention mechanism; and finally, performing multi-scale consistency verification and accurate positioning mapping to obtain a final defect detection result. According to the invention, the problems of defect detection precision and reliability in a complex underwater environment are solved.

The invention discloses a deep sea underwater electro-hydraulic actuator (EHA) and a control system thereof. The system provides power through the power source module, balance of system oil pressure and pressure of external seawater is controlled through the pressure compensation module, oil circulation and oil pressure control are conducted through the integrated valve set module, a control instruction of the control module is executed through the execution mechanism module, and the control module conducts cooperative control over the whole system. According to the control system, the unbalanced pressure between the system and the deep sea high-water-pressure environment is compensated through the pressure compensator so as to reduce the influence of the deep sea high-water-pressure environment, meanwhile, the pressure compensator serves as an oil tank to supply oil, miniaturization of the system is achieved, and the reliability of the system during underwater work is improved; according to the deep-sea underwater electro-hydraulic actuator, the mounting positions and internal flow channels of all elements of the integrated valve bank are optimized, the pressure loss of fluid in the flow channels is reduced, and the energy utilization efficiency of the deep-sea underwater electro-hydraulic actuator is improved; the asymmetric hydraulic cylinder can operate in four working conditions of deep sea, and underwater high-precision movement can be completed.

The invention relates to the technical field of computers, and discloses a digital twin hydraulic engineering operation and maintenance monitoring system which comprises a data acquisition module, a twin modeling module, a principal stress extraction module, a stress evolution prediction module, a safety domain judgment module, a regulation and control decision module, a control execution module and a state feedback module. The invention also discloses a digital twin hydraulic engineering operation and maintenance monitoring method, which comprises the following steps: data acquisition: real-time sensing data of a hydraulic engineering structure area is acquired through the data acquisition module, and the sensing data comprises strain, water pressure, temperature and displacement information and is used for representing the current state of the structure; and carrying out twin modeling, and receiving the real-time sensing data transmitted by the data acquisition module. According to the method, intelligent sensing and dynamic regulation and control of the structure state are realized by constructing a closed-loop system of principal stress prediction, regulation and control decision, control execution and state feedback.

The invention relates to the field of power system supply and demand interaction, and discloses an intelligent greening irrigation system and a water-saving control method, the system comprises a multi-source data acquisition module, a space-time tensor modeling module, a dynamic decision generation module, an edge calculation acceleration module, a distributed execution control module and a drip irrigation module; the method comprises the following steps: collecting multispectral, meteorological and soil moisture data of a plant canopy in real time to generate an original data set; a fusion data set is obtained through space-time alignment and normalization preprocessing; the water demand is predicted based on an LSTM-Transform model, and an irrigation safety interval is screened; the irrigation uniformity and water pressure distribution are simulated and evaluated through multi-physics field coupling; a double-delay DDPG algorithm is used for optimizing valve opening parameters; the model and the execution error are corrected through Bayesian modeling, and an NDVI feedback optimization strategy is combined. According to the invention, a double-delay depth deterministic strategy gradient algorithm is introduced for dynamic optimization of an irrigation strategy, so that the capability of quickly adapting to environmental changes is achieved.

The invention belongs to the field of deep sea corrosion experiment equipment, and particularly relates to a multivariable coupling control deep sea corrosion environment simulation and monitoring device, which comprises an environment control unit, a deep sea corrosion environment simulation unit, a deep sea corrosion environment simulation unit, a deep sea corrosion environment simulation unit and a deep sea corrosion environment monitoring unit, and is characterized in that the environment control unit comprises a seawater environment cabin, a test sample is vertically arranged in the seawater environment cabin, and two ends of the test sample penetrate through and extend to the outer side of the seawater environment cabin; the pressure control system and the temperature control system are connected with the seawater environment cabin through sealing flanges and are respectively used for simulating deep sea hydrostatic pressure and a low-temperature environment; the mechanical loading system is used for bearing the seawater environment cabin and clamping the two ends of the test sample through the sample clamping system so as to apply a multi-axis dynamic mechanical load; the gas regulation and control unit is used for controlling the concentration of dissolved oxygen in the seawater environment cabin; and the multi-source monitoring module is used for collecting detection data and analyzing the detection data to obtain the corrosion rate of the test sample. The single-variable control limitation of a traditional device is broken through, and a high-fidelity experiment platform is provided for deep sea material corrosion mechanism research and equipment life evaluation.

Provided in the present invention is a construction method for a karst tunnel to extend through a karst cave. The construction method comprises the following steps: (1) excavation expansion and support for a karst cave; (2) dredging of the base of the karst cave, and backfilling; (3) inverted-arch and filling construction; (4) water-stop wall construction, and concrete backfilling on two sides; (5) initial support construction; (6) initial-support top backfilling and waterproof-layer construction; (7) secondary-lining waterproofing and drainage construction; (8) mounting and debugging of a water pressure monitoring system; and (9) implementation of a monitoring and early-warning scheme. The construction method is suitable for engineering in unfavorable geological conditions, for example, a water-rich karst tunnel extending through large underground karst caves, karst troughs and underground rivers. In the construction method, the operation difficulty of the steps is relatively low, the construction quality is controllable, there are few construction blind areas, and the safety of construction is relatively high; the initial runoff balance of karst cave underground water can be maintained, and thus the surrounding ecological environment can be protected to the maximum extent.

The invention discloses a flood plain shallow-buried unsymmetrical-pressure multi-arch tunnel excavation stability evaluation method, and relates to the technical field of tunnel stability evaluation, and the method comprises the following steps: obtaining the geological conditions of a tunnel excavation area through on-site survey and drilling, and evaluating the groundwater emission amount and the inrush probability in combination with historical data; and basic data support is provided for subsequent risk modeling. According to the method, through geological and hydrological survey and a numerical model, the high-risk inrush area and the water pressure distribution are accurately predicted, the risk identification and early warning precision is effectively improved, and a scientific basis is provided for support design. Optimized design of the supporting structure is combined with real-time monitoring and dynamic adjustment, construction safety is guaranteed, and meanwhile structural reliability and economical efficiency are both considered.

The invention discloses a rural water supply pipe network pressure monitoring analysis method and device based on digital twinning. The method comprises the following steps: collecting historical basic data of a rural prediction area; flow and pressure sensors are arranged at nodes of a rural water supply network to obtain monitoring data; uploading the data to a server through a data stream processing framework, and preprocessing the data to obtain preprocessed data; constructing a relational database management system to perform batch processing on the preprocessed data to obtain historical basic data and monitoring data after batch processing; constructing a rural pipe network water pressure prediction model; constructing a pipe explosion detection and water pressure control model; according to the physical data, constructing a rural water supply pipe network geometric model based on ArcGIS; and constructing a rural water supply pipe network system data model and realizing visualization of the operation state of the water supply pipe network. Rural water supply characteristics and water consumption characteristics are fully considered, intelligent management and control of the rural water supply system are achieved, and reliability and safety of rural water supply are effectively guaranteed.

The invention relates to the technical field of water conservancy and hydropower, in particular to a corridor type supersaturated gas quick release device which comprises a concrete bottom plate, a plurality of concrete enclosing walls are arranged on the top face of the concrete bottom plate, and the concrete enclosing walls are sequentially arranged at intervals from inside to outside; a clearance between every two adjacent concrete enclosing walls forms a corridor area; a plurality of water pressure and air pressure damage assemblies are arranged in the innermost circle of concrete enclosing wall, a plurality of energy dissipation bodies are filled in the innermost circle of concrete enclosing wall, and the water pressure and air pressure damage assemblies are distributed on the top face of the concrete bottom plate in an array mode; a water passing hole is formed in each circle of concrete enclosing wall; a plurality of flow limiting plates are arranged in the corridor area at intervals, and flow passing structures are arranged on the flow limiting plates. By the adoption of the structure, multi-flow-state distribution areas such as turbulent flow, backflow and rotational flow can be formed, the medium contact area of supersaturated gas is greatly increased, precipitation of the supersaturated gas is accelerated, and positive significance is achieved for protecting aquatic organisms and fish resources of downstream rivers.

The invention discloses a monitoring and simulation mutual feedback correction concrete dam structure parameter intelligent identification method, and belongs to the technical field of dam safety monitoring, and the method comprises the steps: S1, building a finite element model, and generating a parameter set X through LHS; s2, calculating a water pressure component to obtain a data set Y, and normalizing a sample S = [X, Y]; s3, dividing the training set and the test set according to a ratio of 4: 1, and training a CBLA model; s4, the HST is used for separating the water pressure component, and ICPKO is combined with CBLA for optimization; and S5, iteratively terminating the output of the optimal parameter, and performing finite element verification. According to the concrete dam structure parameter intelligent identification method based on monitoring and simulation mutual feedback correction, the problem that a traditional algorithm is prone to being caught in local optimum is solved, the efficiency and precision of gravity dam structure mechanical parameter feedback are improved, the optimal combination of deformation moduli of a dam body and all partitions of a dam foundation meeting the actual situation is successfully inverted, and the method is suitable for popularization and application. And a new technical means is provided for structural response analysis of the gravity dam in the operation period.

The invention discloses an urban resident water consumption behavior classification method based on an intelligent water meter, and relates to the technical field of intelligent water affairs. The method is used for improving water consumption behavior recognition and anomaly detection precision. The method comprises the steps that firstly, a water flow change direction sequence is generated in real time through an intelligent water meter, and flow gradient and timestamp density characteristics are captured and extracted based on a stable persistence trigger event; then, eliminating water hammer noise by adopting an adaptive filtering mode, extracting a key turning point in combination with curvature analysis, comparing the key turning point with a behavior pattern library topology, and generating a dual-channel behavior feature vector; further, metering grids are divided according to valve distribution in the building water supply system, distribution clustering is executed in combination with the pressure gradient, and a cross-grid abnormal feature conduction path is constructed; and finally, tracing an abnormal diffusion path by means of a multilayer graph convolutional network, positioning a water pressure abrupt change inflection point, mapping the water pressure abrupt change inflection point to a building component, and outputting a leakage point identifier and a behavior mode label, thereby realizing high-precision classification and abnormal identification of residential water consumption behaviors.

The invention relates to a control system for a water-jet loom. A data acquisition module acquires and transmits weft tension, humidity and temperature data in real time. The parameter calculation module calculates the optimal parameters of the water spraying time, the water pressure and the nozzle opening degree through a fuzzy control algorithm according to data changes and transmits the optimal parameters to a water spraying execution mechanism. The tension adjusting module adjusts the nozzle opening degree and the water spraying time according to the comparison result of the weft yarn tension and the preset threshold value. The nozzle optimization module optimizes the nozzle design by means of a computational fluid dynamics approach. The pressure adjusting module monitors pipeline pressure through a pressure sensor, and alarms and adjusts the rotating speed of a water pump and the opening degree of an electromagnetic valve if the pipeline pressure exceeds a threshold value. The state detection module monitors knitting needles and shuttles through the machine vision technology, and water spraying parameters are adjusted when abnormity occurs. The data processing module uploads data to a cloud platform, and big data and machine learning are utilized to optimize a control strategy so as to realize real-time monitoring and accurate control of various parameters of the water-jet loom and guarantee weaving quality and efficiency.

The invention discloses an intelligent pipe network management system based on the Internet of Things technology, and relates to the technical field of data management. Pressure bearing capacity and water pressure data of a pipeline are collected in real time through stress and pressure sensors, and whether water flow exceeds a pipeline safety range or not is accurately assessed by combining pipeline pressure bearing capacity monitoring, frequency analysis and risk assessment; based on the data, the risk division module divides risks into high, medium and low levels, and takes targeted management measures; and for medium-risk conditions, the maintenance module reduces the pipeline fracture risk by predicting and dynamically adjusting the starting frequency of the water pump and the opening degree of the valve, and effectively prevents secondary pollution and water quality decline, thereby ensuring safe and stable operation of the water supply system.

The invention discloses an intelligent control method and system for muddy water treatment of a muddy water shield tunnel, and relates to the technical field of muddy water treatment.The method comprises the steps that physical characteristic data and chemical characteristic data of muddy water are collected in real time, preliminary treatment is conducted through edge computing nodes, and standardized muddy water characteristic data flow is output; carrying out preliminary screening operation on muddy water according to an intelligent separation strategy, and screening out medium-particle impurities; through self-adaptive dynamic vortex regulation and control, the muddy water rotational flow speed and the muddy water pressure are regulated, and medium particle impurities are subjected to rotational flow separation; carrying out deep separation treatment on medium-particle impurities subjected to cyclone separation, and outputting clear water and deposited mud cakes; clear water flows back to the shield tunneling machine through pumping equipment to be recycled, and deposited mud cakes are subjected to dehydration treatment. According to the invention, medium particle impurities are accurately separated according to the change of muddy water characteristics by utilizing a regulation and control method of dynamically adjusting the rotational flow speed and pressure, so that the muddy water separation efficiency is effectively improved, and the energy consumption is reduced.

The invention belongs to the technical field of ship bearings, and particularly relates to a ship bearing radial loading test bench and method for simulating ice load and water immersion working conditions, and the method comprises the steps: installing a to-be-tested intermediate bearing on a test platform, enabling the intermediate bearing to sleeve a test shaft, starting a cooling water circulation system to control the flow, cooling water enters a cooling water coil pipe to establish oil pool cooling circulation; a driving motor is started; a test shaft stably operates through equipment such as a reduction gearbox and the like; a dynamic pressure lubrication state is established, a radial dynamic load or a stable constant load is applied through a hydraulic loading system to simulate an icebreaking load working condition, and a simulated water body is injected into a water tank; the test conditions of the intermediate bearing in a ship immersion environment are constructed through water pressure adjustment, the temperatures of lubricating oil, a bearing bush and cooling water are monitored in real time, the loading force is adjusted through feedback data, and the performance of the intermediate bearing is judged after the test is finished. The problems that ice excitation and soaking environment simulation are insufficient and a loading structure is eccentric in the prior art are solved, and high-precision cooling and thermal stability evaluation are achieved.

The invention provides an in-tunnel inrush water pressure monitoring method and system based on dual-acquisition multi-modal data, and belongs to the technical field of inrush water pressure monitoring. Comprising the steps of collecting video data by adopting a high-definition camera; sequentially performing water flow area intelligent segmentation, optical flow calculation and ConvLSTM time sequence prediction on the video data to predict the water flow velocity; an infrared camera is adopted to collect temperature data; self-adaptive temperature gradient calculation and temperature anomaly detection are sequentially carried out on the temperature data to predict the water flow temperature; aligning and fusing the predicted data of the water flow velocity and the water flow temperature, and constructing a water pressure calculation model to obtain a water pressure predicted value; and determining an early warning level according to the water pressure predicted value so as to adjust the monitoring mode of the inrush water pressure in the tunnel. According to the method, the infrared technology and the vision field technology are combined, accurate prediction of the inrush water pressure in the tunnel can be achieved, and a corresponding early warning monitoring mode is provided according to the prediction result.

The invention discloses a pressure regulating solenoid valve, which relates to the technical field of solenoid valves, and comprises a valve body, the top of the valve body is provided with a valve seat, the valve seat is internally provided with a cavity, and through the arrangement of a first pressurizing hole, a second pressurizing hole, a flow dividing hole, a first flow dividing pipeline, a second flow dividing pipeline, a first pressurizing cavity and a second pressurizing cavity, the pressure regulating solenoid valve is formed. During use, when unstable high water pressure flows into the valve body, the high water pressure pushes the inner barrel upwards, then the inner barrel moves upwards to drive the flow dividing holes to move upwards, the flow dividing holes are driven to be sequentially in butt joint with the first pressurizing hole and the second pressurizing hole respectively, and then water is divided into the first flow dividing pipeline and the second flow dividing pipeline; then water flows into the first pressurizing cavity or the second pressurizing cavity, then water pressure is dispersed, then the water flowing into the first pressurizing cavity or the second pressurizing cavity downwards compresses the first spring to cause deformation shortening, and meanwhile, a stretched second spring is matched, so that when the water pressure upwards jacks the sleeve and the inner cylinder, buffering protection on the sleeve and the inner cylinder is enhanced.

The invention relates to the technical field of water treatment equipment, and particularly discloses intelligent dynamic water-saving two-stage reverse osmosis water treatment equipment which comprises a treatment pipe, the two ends of the treatment pipe are fixedly connected between two sections of water conveying pipes in a sealed mode through bolts, and the outer surface of the treatment pipe is fixedly sleeved with a baffle ring. According to the intelligent dynamic water-saving two-stage reverse osmosis water treatment equipment, along with continuous upward movement of a driving rod, a sealing disc is driven to move upwards along a sliding rod, so that the water pressure of a cavity above the sealing disc is increased, a reverse extrusion force is generated on a filter plate, and impurities blocked at the filter plate generate a reverse extrusion force; after the filtering disc is dredged, the pressure disc and the sealing disc are reset under the action of elastic force to enable the filtering disc to work again, so that the filtering disc is automatically dredged after the filtering disc is blocked in the water treatment process, and the working time of equipment is greatly prolonged; the problem of insufficient water treatment efficiency caused by frequent cleaning of equipment is avoided.

The invention relates to the technical field of intelligent control of filters, and discloses an intelligent control method for a self-cleaning filter based on sensing of the Internet of Things. The method comprises the following steps: collecting multi-source sensing data such as inlet and outlet water pressure difference, flow fluctuation frequency, turbidity change rate and vibration spectrum characteristics when the filter runs; performing hierarchical clustering on the data according to a preset blockage level threshold value, and generating a blockage feature matrix with a timestamp; the matrix dynamic state is monitored in real time, and when the turbidity change rate and the covariance of the vibration spectrum characteristics exceed a dynamic threshold value, self-adaptive cleaning strategy switching is triggered; in combination with the time-space matching degree of a historical cleaning period and a current matrix, decomposing sub-feature sets of high-frequency blockage and low-frequency deposition modes, and correcting the weight of the high-frequency sub-feature sets through cross validation of fluid dynamics and mechanical wear parameters; and finally, a preferential cleaning area is reversely positioned along the structural topological graph of the filter, a three-dimensional cleaning path instruction is generated, and the opening degree of a blow-down valve is synchronously adjusted, so that the control and operation performance of the filter is optimized.

The invention discloses a panel vertical seam water stop structure repair effect evaluation method, which comprises the following steps of: firstly, synchronously obtaining surface crack and internal defect data through cooperative detection of infrared thermal imaging and ultrasonic flaw detection; and carrying out space alignment on point cloud data generated by three-dimensional laser scanning and an ultrasonic detection result, and establishing a BIM model containing a crack three-dimensional form. A practical engineering environment is simulated in a laboratory to carry out material accelerated aging and test key indexes such as an elastic recovery rate, a base surface state is evaluated through a temperature and humidity sensor array in a construction stage, a six-axis grouting robot is adopted to execute accurate filling, a curing process is monitored by a synchronous pre-embedded optical fiber sensor, and after aging is simulated by combining a hydraulic test with climate, a construction period is shortened. A distributed optical fiber network is used for continuously collecting deformation data, a comprehensive evaluation model is constructed based on mechanics, durability and sealing indexes, and finally material selection and process parameters are optimized through machine learning.

A design method for preventing and controlling water inrush catastrophe in tunnels and techniques for optimizing actual tunnel construction, specifically: discretizing calculation model into material points, setting virtual boundary layers outside boundary of calculation model; selecting size of horizon of material points to form neighborhood matrix of material points; making crustal stress equivalent to stress boundary condition, making karst cave water pressure equivalent to normal pressure, and converting displacement constraint and tunnel support into displacement boundary conditions; solving speed and displacement of material point, determining whether bonds of all material points meet failure condition, recording local damage situations; after initial balance calculation is stable, simulating tunnel construction process by using material point dormancy method; and according to physical values of optimization parameters of actual tunnel construction obtained by simulation results that meet the requirements of water inrush catastrophe prevention and control, implementing the optimized actual tunnel construction.

The invention discloses a time-phased intelligent pressure regulation management method and system for secondary water supply, and belongs to the technical field of water supply management, and the method specifically comprises the steps: dividing a day into a water consumption peak period and a water consumption low period based on historical water consumption flow data, and determining the starting and ending time nodes of each time period; through hydraulic calculation and actual water supply pressure monitoring, a pressure control point at the tail end of the water supply system is locked, and water supply pressure data of the point are collected in real time; in the water consumption peak period, a peak pressurization control strategy is executed; in the water consumption low-peak period, analysis is conducted according to historical water supply pressure data of a tail end pressure control point, and a low-peak period pressure safety threshold value is set; a pressure instruction is sent to a control system according to the threshold value, and water supply equipment is controlled to output pressure according to the threshold value; the water supply pressure of a tail end pressure control point is monitored in real time, and when the pressure is lower than a low-peak-period pressure safety threshold value, pre-alarm is triggered, and pressure changes are continuously recorded; and if the pre-alarm state is not finished continuously, switching to a peak-period peak pressurization control strategy.

The invention discloses an intelligent closestool virtual-real synchronous quality prediction system based on a digital twinning system, and relates to the technical field of digital twinning, and the system comprises a data collection module which is used for collecting quality detection data of an intelligent closestool on a physical production line in real time, and the data at least comprises water pressure related data, temperature data and circuit performance data; the digital twinborn model module constructs an intelligent closestool digital twinborn model with a dynamic error compensation mechanism, compares collected actual quality detection data with simulation data in the model to calculate an error, calculates a fraction and a threshold value according to a preset weight, and automatically corrects the simulation error of a virtual model when a comprehensive error exceeds the threshold value; and the quality prediction module is used for realizing prediction of the quality of the intelligent closestool by adopting a fusion deep learning and physical modeling technology and combining data output by the data processing and analysis module. According to the method, the digital twin model is used for accurate comparison and error correction, and the quality problem in the production process can be found in time.

The invention discloses a pipeline water pressure test device, and relates to the technical field of water pressure tests. The device comprises a mounting frame, wherein a first mounting plate is rotationally mounted on one side of the mounting frame; the third driving piece drives the connecting rod to slide, fluid shock waves are generated at the end, namely a flow channel, of water in the lower pipeline under the action of the cylindrical block so as to simulate the water hammer phenomenon, a water hammer eliminator is simulated through compressed air in the upper pipeline, water flow in the pipeline is buffered and adjusted, and the water hammer phenomenon is simulated. The influence of the water hammer phenomenon on the pipelines is reduced, after the impact experiment is completed, water injection pressurization can be conducted on the two communicated pipelines through the water injection pipe, air in the pipelines is discharged, then the two pipelines are separated through the plugging piece, and the two pressure detection mechanisms can detect the water pressure in the two pipelines respectively. According to the invention, a fluid shock wave simulation test can be carried out on the pipeline, the loading capacity and the sealing performance of the pipeline can be tested in a static pressurization mode, and the device is convenient and easy to use.

The invention relates to the technical field of data processing, in particular to a subway shield tunnel segment external pressure control system based on automatic monitoring, and the system comprises a setting module which is used for setting a pressure sensor, a position sensor and a strain sensor on a segment by precisely recognizing the structure of the segment; the data acquisition module acquires sensor data in real time based on a preset frequency; the pressure analysis module draws a pressure change diagram and judges that the pressure of the duct piece is abnormal, or adjusts the preset frequency; the deformation analysis module receives the deformation analysis instruction, determines the deformation degree of the duct piece based on a radial deformation degree determined based on a plurality of real-time positions and an annular strain degree determined based on a plurality of real-time resistance values, and adjusts a water pressure threshold value according to a comparison result of the deformation degree and a preset deformation degree to generate a drainage instruction; the drainage module receives a drainage instruction and determines the opening number and distribution of water diversion ports based on adjustment of a preset water pressure threshold value and the segment deformation degree. The safety of the metro shield tunnel segment structure is guaranteed.

The invention relates to the technical field of equipment control, in particular to a linkage constant temperature control method and system based on intelligent bathing equipment. The method comprises the following steps: acquiring set target temperature data of bathing equipment; performing environmental data acquisition on a water inlet pipe and a water outlet of the bathing equipment to obtain real-time water temperature data and real-time water pressure data; performing water temperature difference identification on the set target temperature data and the real-time water temperature data of the bath equipment to generate water temperature difference identification data of the bath equipment; and performing potential fluctuation influence analysis on the real-time water pressure data based on the water temperature difference identification data of the bathing equipment to generate water pressure fluctuation data of the bathing equipment. Through the technologies of real-time data acquisition, intelligent water mixing adjustment, heat source linkage regulation and control, non-contact temperature control and the like, the accuracy and reliability of temperature control are improved.

The invention relates to the technical field of hydrofracture simulation experiments, in particular to a true triaxial hydrofracture fault slippage casing deformation monitoring method and system, and the method comprises the steps: preparing a target reservoir simulation sample; arranging and installing a shaft and a sensor; carrying out a water pressure physical model experiment and recording experiment data; and analyzing and processing the experimental data, and performing quantitative evaluation by combining the final state of the target reservoir simulation sample. According to the method, the shear deformation influence of fault slippage on the shaft casing under the true triaxial hydraulic fracturing condition can be quantitatively evaluated; scientific basis is provided for optimization of fracturing optimization design parameters, and engineering practical significance is achieved for optimization of the horizontal well casing damage prevention and control theory and on-site construction design.

The invention relates to a micro-spraying system irrigation uniformity control method and system, and belongs to the technical field of agricultural irrigation energy saving. Calculating the flow data of each nozzle according to the data of the flow meters of the branch pipes; calculating the pressure distribution of each node under the condition of no throttle valve by using the irrigation area pipe network hydraulic model, and finding out the part with too high or too low pressure in the pipe network; a throttle valve is installed on a main pipe of a pipe network in an irrigation area, and the opening degree of the throttle valve is adjusted and the pressure rise of a water pump is calculated by taking the most disadvantageous spray head in the pipe network as a pressure reference; the flow condition in the pipe network is monitored in real time through the flow meter, and data are uploaded; the pressure is calculated through the pipe network hydraulic model, when the water pressure in the pipe network is abnormal, the throttling valve needing to be adjusted and the opening degree are calculated, workers are informed, and early warning is conducted in time. The service life of the system is prolonged, and the irrigation efficiency and the water resource utilization rate are improved.

The invention provides welding equipment for photovoltaic support assembly, and belongs to the technical field of photovoltaic support welding, the welding equipment comprises a supporting frame and a processing table, the supporting frame is connected with a supporting seat, an electric sliding table is arranged on the inner side of the supporting seat, an air cylinder and a welding head are arranged on one side of the electric sliding table, and a pipeline assembly is arranged on the inner side of the supporting seat; the eliminating assembly is used for cleaning dirt on the inner wall of the pipeline assembly; the screening assembly is used for filtering the cooling water in the pipeline assembly; the cooling device has the beneficial effects that the extrusion block can extrude the pressure sensor by increasing the water pressure, so that a chemical solution is released into the spiral cooling pipe, adhesion of impurities to the inner wall of the spiral cooling pipe is reduced, the cooling effect on a welding head is guaranteed, heat damage to the welding head is relieved by timely heat dissipation and cooling, the service life is prolonged, and the production cost is reduced. Meanwhile, the filter cartridge is cleaned through the scraper, so that the blockage of the filter cartridge is reduced, and the filtering effect is improved.

The invention relates to the technical field of fluid pressure regulation, and provides an automatic water pressure tracking and regulating method and device for a water curtain test and a storage medium, and the method comprises the steps: obtaining a target water pressure value of a water curtain hole for the current water curtain test, obtaining an actually-measured water pressure value in the water curtain hole in the kth second, and determining the pressure difference between the actually-measured water pressure value and the target water pressure value; the valve opening degree of the electric water valve is controlled in real time according to the pressure adjusting scheme, the pressure of the water curtain hole is rapidly adjusted to the target water pressure value without vibration, and after the water pressure is adjusted to the target water pressure value, the water pressure can be stabilized at the target water pressure value in real time. According to the method, water pressure adjustment is free of oscillation, the phenomenon of fluctuation is avoided, the adjustment speed is higher than that of other methods, water pressure adjustment disturbance resistance can be achieved, and the method has great significance in promoting industry technology development.