70 results about "Water state" patented technology

The invention provides an equipment state detection method, a swimming state detection method and electronic equipment, and the electronic equipment can obtain capacitance information of a touch panel, and determines whether a plurality of events are detected or not according to the capacitance information so as to determine whether the equipment is in a target state (for example, whether the equipment is in a water entering state) or not. In a swimming scene, according to the capacitance information or the state information of the equipment, the electronic equipment can also determine the information such as the swimming duration, the swimming stroke, the stroke and the number of times of the user. According to the method provided by the invention, the state of the equipment is determined more accurately and reliably, the information of the swimming state of the user, which is determined in the swimming scene, can better reflect the actual swimming condition of the user, the data is more real, and the user experience is better.

The invention relates to the technical field of underground water state evaluation, and discloses an underground water level dynamic evaluation method based on multi-source data mapping and fluid model correction. The invention aims to solve the technical problems of insufficient underground water level monitoring precision and lack of space details caused by low spatial resolution of existing satellite gravity detection data and difficulty in accurately separating a deep underground water change signal from a land total water reserve signal. According to the method, through space-time reference unification of multi-source heterogeneous data, high-resolution surface texture features are utilized to guide a low-resolution gravitational field to carry out space downscaling reconstruction; surface water body and soil water reserve signals are removed layer by layer in combination with spectral characteristics and a thermal inertia principle; and introducing measured data to construct a spatial error correction curved surface of specific yield parameters, and identifying the underground water funnel by using an image connected domain analysis technology.

The invention relates to the technical field of disaster early warning, in particular to a mountain torrent disaster real-time monitoring and early warning method based on the Internet of Things and artificial intelligence, which comprises the following steps: acquiring a water level data identification rising point, marking an area number, retrieving rainfall nodes, judging synchronization, tracking a non-drainage path, extracting channel frequency and screening response nodes. And multi-section mountain torrent early warning information is obtained. According to the method, the continuous rising trend of the water level is extracted, the monitoring section with the continuous change characteristic is delimited, the response path between the water level and the rainfall is constructed by means of the multi-node space distribution relation, the interaction area is recognized and merged, and the water body retention section and the upstream water supplementing direction are calibrated by comparing the drainage state with the node behavior. The response continuity is analyzed through a broadcast channel and scheduling frequency, key nodes in the change process are screened, water level, rainfall and path information is organized through a time sequence, the multi-region hydrological response process is integrated, and staged recognition and risk pointing of the disaster process are promoted.

The invention discloses a water resource information acquisition method based on a remote sensing image, which belongs to the technical field of image recognition, and specifically comprises the following steps: firstly, acquiring remote sensing image data of a target water area, and constructing a dynamic substrate spectrum template library by acquiring actually measured spectrum reflection curves of different substrate types in a water-free state; secondly, for each spatial position in the image, matching exposed substrate types of adjacent areas according to geographic coordinates, and extracting corresponding spectral features from a template library as basic reflection reference; establishing a light propagation path separation model, simulating a process that sunlight penetrates through a water layer and returns to a sensor through substrate reflection, and generating a substrate reflection contribution component in combination with basic reflection reference; and finally, deducting the contribution component from the spectral reflectivity to obtain a pure water optical response value, and outputting a water transparency parameter distribution diagram of each spatial position of the target water area according to a physical correlation model of the pure water optical response value and the water transparency. According to the invention, reliable remote sensing acquisition of shallow water transparency is realized.

To execute control on water discharge and stop convenient for a user.SOLUTION: A water discharge control system according to an embodiment includes a water discharge unit, an imaging unit for imaging at least a water discharge region, a determination unit for determining whether or not an imaged object detected from an image taken by the imaging unit is a water discharge object, and a control unit for controlling a water discharge state of the water discharge unit. The control unit controls an instantaneous water discharge flow rate from the water discharge unit on the basis of at least one of a size of the water discharge object determined by the determination unit, type of the water discharge object, or a distance between a water discharge port of the water discharge unit and the water discharge object.SELECTED DRAWING: Figure 11

The invention provides a dam body monitoring method and system and electronic equipment, and the method can recognize the current state of each water outlet through a first image which comprises the real-time images of all water outlets, and then dynamically adjusts the monitoring strategy corresponding to each water outlet according to the current state of each water outlet, thereby improving the monitoring precision of each water outlet. Therefore, the interference of the drainage port in the drainage state on the monitoring data is eliminated. By adopting the technical scheme provided by the invention, the dynamic self-adaptive optimization of the monitoring strategy can be realized on the whole so as to flexibly eliminate the influence of the random drainage / flood discharge event on the monitoring point position of the dam body drainage port, and the accuracy and precision of dam body monitoring are improved.

The invention discloses a hydraulic structure concrete underwater repair robot based on heterogeneous dual-core cooperative control and an operation method. The system is mainly composed of an ROV carrier, an embedded dry chamber cabin, a vector propeller, a mechanical arm and a Pixhawk + PLC dual-core control system. The equipment adopts a hierarchical control framework: a motion control layer is based on Pixhawk flight control, realizes six-degree-of-freedom motion and attitude overturning, and accurately matches a complex-angle working plane; the operation control layer adopts an industrial PLC to control the dynamic sealing of the dry chamber cabin and the underwater operation surface, and a negative pressure dry environment is quickly established. A plurality of sensors and a manipulator are integrated in the cabin, visual accurate repair is carried out in a water-free state, and negative pressure evacuation is relieved after the repair is completed. The maneuverability of open source flight control and the logic reliability of the PLC are fused, the defects that a single controller is prone to overload and complex attitude alignment is difficult are overcome, and the high efficiency of deep water complex structure repairing and the system stability are guaranteed.

The invention relates to a water area drowning detection method based on multi-model cooperation and scene self-adaption, and belongs to the technical field of computer vision and safety monitoring. A human body target is quickly positioned through a YOLOv8-Nano model of an optimized anchor frame; a MediaPipe-Holistic model is used to extract key points, and a multi-dimensional feature map is generated; the motion trend vector is fused through the lightweight Transform, and the specific'micro-motion-sinking-static 'dynamic time sequence characteristics of drowning are accurately captured; swimming pool, lake and seaside scenes are identified through a scene adaptive attention module, key point weights are dynamically adjusted, low-confidence double-branch complementary reasoning is combined, finally, drowning state confidence is output through a full-connection neural network, and alarm is triggered. The technical problems that existing drowning detection is poor in scene adaptability, insufficient in dynamic feature capture, high in missing and false alarm rate and high in deployment threshold are solved.

The utility model provides a dehumidifier which comprises a water tank, a water inlet pipe, a water outlet pipe, a water inlet pipe, a water outlet pipe, a water outlet pipe, a water inlet pipe and a water outlet pipe. The floating assembly is arranged in the guide groove and is provided with a first position floating to the top of the guide groove and a second position falling to the bottom of the guide groove; and the water level switch is arranged on the outer side of the water tank, is lower than the central surface of the guide groove in the transverse direction, and is used for triggering a water fullness prompt signal when the floating assembly floats upwards to the first position. The water tank has the advantages that a user can be actively reminded that the water tank is nearly full of water, and the situation that the water is full of water and overflows is effectively avoided.

The invention relates to the technical field of water environment monitoring, and discloses a river and lake fixed-point hourly water body sampling device and method.The river and lake fixed-point hourly water body sampling device comprises a fixing assembly which is used for anchoring a mounting carrier and can adapt to the spatial position for height adjustment, and a rotating sampling unit which comprises a plurality of sampling boxes distributed in the circumferential direction and a rotating sampling piece capable of driving the sampling boxes to rotate; the posture of the sampling box is changed through rotation, so that the sampling box forms a forward water taking state and a reverse water storage state, and the rotary sampling piece drives the sampling box to rotate according to a preset time interval so as to be in contact with a water body to complete sampling; the driving mechanism is connected with the rotating sampling part and used for executing timing driving, the control system is in signal connection with the driving mechanism and the rotating sampling module, a control module is arranged in the control system, and the control system can set and send a timing rotating instruction.

The application discloses a kind of oil-water interface seismic prediction method, equipment and storage medium, belong to oil and gas exploration technical field.The method includes the following steps: S1.Based on well logging data, the intersection interpretation template of longitudinal wave impedance and shear wave impedance curve of reservoir actual state and water-saturated state is established;S2.Based on the prestack bayesian inversion of bayesian sparse inversion theory and model soft constraint, the inversion result of longitudinal wave impedance and shear wave impedance in study area is obtained;S3.According to the intersection interpretation template, the inversion result of longitudinal wave impedance and shear wave impedance is predicted for the distribution of water-bearing layer in study area;S4.The time-depth relationship that meets the depth requirement is established, and the time-depth conversion is carried out for the distribution of water-bearing layer in study area, and the shallowest depth position of water-bearing layer is the position of oil-water interface.The application can qualitatively-semi-quantitatively predict oil-water interface, and can estimate oil-water interface according to a small amount of well data in early exploration, to provide technical support for next step exploration of oil field.

According to the technical scheme, the toilet flushing waterway is characterized by comprising a flushing waterway and a cleaning waterway which are communicated with each other; the pollution discharge mechanism can be switched between an initial state and a pollution discharge state; the detection unit is used for detecting whether water supply is cut off in the cleaning water path and / or the flushing water path and / or the municipal water supply pipe; the control module is connected with the pollution discharge mechanism and the detection unit, when the control module judges that the water supply is not cut off through the detection unit, the control module can control the pollution discharge mechanism to be switched to the pollution discharge state, and when the control module judges that the water supply is cut off through the detection unit, the control module does not automatically control the pollution discharge mechanism to be switched to the pollution discharge state; whether the tap water pipeline is in the water cut-off state is detected, so that the situation that the closestool still executes the automatic sewage discharging function when water is cut off, and no water seal exists at the bottom of the closestool is avoided, pipeline odor returning is avoided, and environmental sanitation is kept.

The invention discloses a method and system for evaluating the water breakthrough risk of a fault-karst reservoir production well, and the method comprises the steps: taking a water breakthrough state influence factor of a target production well as a water breakthrough degree evaluation index, and dividing the influence factor into a first-level index representing a main factor and a second-level index representing a subordinate factor of the main factor; respectively analyzing the relative importance degree of each first-level index relative to other first-level indexes and the relative importance degree of each second-level index relative to other second-level indexes, so as to obtain the comprehensive weight of each second-level index; the water breakthrough risk is divided into different grades according to the risk degree, an evaluation value range is matched for each grade, then a fuzzy comprehensive evaluation matrix representing the possibility of occurrence of each grade under a single evaluation index is constructed, and then the evaluation value of the current target production well is calculated and an evaluation result is formed by combining the comprehensive weight. According to the invention, accurate evaluation of the water breakthrough risk of the production well is realized.

The invention relates to a vehicle control method and device, a medium, a product, equipment and a vehicle, and the vehicle is controlled to execute a wading protection strategy according to a verification result of consistency verification of the height from a reference point of reference equipment in the vehicle to the water surface and the water depth in an immersion state and the height from the reference point to the water surface. Through multi-dimensional data fusion and a dynamic verification mechanism, the problem of misjudgment of a single sensor is effectively solved, and the method has the advantages of improving wading detection precision and vehicle safety.

This invention discloses a system and method for water replenishment and exchange through multi-gate coordinated control, comprising: a river channel; and a first control gate assembly and a second control gate assembly respectively disposed in the upstream and downstream sections of the river channel, and further comprising multiple channels disposed in the river channel and positioned between the first and second control gate assemblies. This invention utilizes natural tidal energy to replenish and exchange water in the inland river channel through multiple gates, while simultaneously and rationally coordinating the opening and closing of the upstream and downstream first and second control gate assemblies, thereby ensuring a long-term unidirectional flow state in the inland river channel, increasing water circulation, and ultimately improving the water quality of the inland river channel.

The invention relates to a grid scale wetland flooding state judgment method, device, medium and program, a linear relation model of subgrid underground water level and topographic index is constructed, the subgrid underground water level is 0 to represent a critical flooding state, the topographic index value at the moment is obtained based on the linear relation model, and the subgrid underground water level is calculated according to the topographic index value. The terrain index is used as a terrain index threshold value of sub-grid flooding; calculating a flooding area proportion for each grid based on the flooding state of the sub-grids; the grid is composed of a plurality of sub-grids; constructing a fitting model of the grid average groundwater level and the proportion of the flooding area; acquiring a wetland image and a grid average underground water level in the image; and obtaining the grid flooding area proportion of the wetland based on the fitting model. According to the method, the underground water level change and the subgrid terrain heterogeneity characteristics can be coupled on the grid scale, a new technical scheme for fine judgment of the wetland flooding state is achieved, and the defect of an existing hydrological model in the aspect of wetland flooding space expression ability is overcome.

The invention relates to a soda water quality optimization control method and system based on artificial intelligence. The method comprises the following steps: acquiring a multi-source data set of the combined cycle power system; a step of predicting the steam-water state index through a pre-trained dynamic prediction model by taking the multi-source data set as input to obtain a prediction result of the steam-water state; a mapping rule between the chemical agent and the steam-water state is input into the dynamic prediction model, and a corresponding agent scheme is generated; when the prediction result exceeds a set threshold value, the boiler discharge capacity is adjusted or chemicals are added according to the scheme, so that the steam-water state index is improved; and if the deviation of the regulated steam-water state index exceeds a preset deviation range, iteratively optimizing the medicament scheme according to the current prediction result, the steam-water state index and the mapping rule. And prediction and optimal regulation and control of the steam water quality can be realized under multi-factor interference under complex working conditions on the sea.

The application provides a shallow water self-adaptive navigation control system for a contactless trackless electric ship, and relates to the technical field of ship engineering, and comprises: an acquisition module, which is used for acquiring water depth information of a water area where the ship is located in real time; based on the water depth information, a preset shallow water threshold is used for judgment to obtain a shallow water state signal of whether the ship is in a shallow water navigation state; a measurement module, which is used for acquiring real-time measurement data of three depth measurement sensors arranged at a bow and two sides of the ship according to the shallow water state signal, and constructing a reference geometric structure according to the measurement data. The application realizes the dual protection of stable ship navigation posture and continuous contact power supply under shallow water conditions.

The invention discloses a self-adaptive variable-flow high-efficiency main flood water pump device, which is applied to the technical field of flood prevention and fighting, and realizes self-adaptive adjustment of lift, automatic expansion and contraction when tide water level changes, and dynamic optimization of pipeline length, so that a water pump is always kept in a high-efficiency drainage state; the energy waste of fixed lift design in a tidal environment is avoided, the electric energy consumption is optimized, the operation stability of the device in a dynamic water level is improved, and the required flood drainage flow can be calculated and the operation strategy can be optimized according to the water level and the flow velocity monitored on a river channel and real-time rainfall prediction data; according to the anti-backflow structure, reverse backflow of water flow can be effectively blocked under the complex hydrological condition caused by tide or rainstorm, the risks of impeller idling abrasion and motor overload caused by backflow of a traditional pump station are avoided, the one-way operation stability of a drainage system is guaranteed through physical isolation, and meanwhile energy loss caused by backflow is reduced.

The invention relates to the field of intelligent water conservancy, in particular to an intelligent concealed conduit drainage coordinated control system based on water level adaptive regulation and control, which comprises a data acquisition module, a feature construction module, a space-time analysis module, a risk prediction module and a visualization module. Under the condition that the water level data is lack of measurement or incomplete, drainage state information in an incomplete sample can be fully excavated, a drainage operation state analysis model is gradually corrected and optimized, and the accuracy and stability of underground pipe drainage state analysis are effectively improved; the water level-drainage capacity dynamic response mapping model is constructed, the drainage state confidence coefficient and the potential drainage risk index are introduced to conduct self-adaptive correction on the mapping relation, under the condition that the drainage risk is increased or the state uncertainty is increased, the response strength of the drainage capacity is improved, and the drainage capacity is improved. Therefore, refined, coordinated and self-adaptive control of the concealed conduit drainage process is realized.

The present application belongs to the technical field of rock physics, and is especially a longitudinal wave velocity calculation method under a gas-water system. The method comprises the following steps: S1: obtaining longitudinal and transverse wave velocities of a sample under normal pressure and under a limit high pressure through experiments; S2: calculating a skeleton bulk modulus and a clay water relaxation time according to a sample XRD mineral analysis result; S3: converting the wave velocities into moduli; S4: calculating saturated volcanic lava longitudinal wave velocities considering frequency dispersion according to a Gurevich formula; S5: measuring a nuclear magnetic T2 spectrum of the sample under a saturated state; S6: calculating bulk moduli under different saturation degrees; and S7: converting to obtain longitudinal wave velocities under different saturation degrees. The present application explains the reason why the volcanic lava saturation degree-longitudinal wave velocity rule presents a "convex" shape from a mechanism, and effectively calculates volcanic lava longitudinal wave velocities under different saturation degrees.

The invention relates to the technical field of water disaster warning, in particular to a coal mine water disaster early warning system based on video recognition, which is characterized in that discretization results are constructed into a tag sequence arranged according to a time sequence, so that a Markov chain can describe a jump relation of water body change on the basis of a clear state sequence; therefore, different types of water body changes in the picture are expressed in a discretization label mode, the evolution path of the water body state in the time dimension has inference, a dynamic time warping mode is introduced in link node processing, water body diffusion trajectories in different time periods can be aligned when time scale difference exists, and the water body diffusion trajectories in different time periods can be aligned. The corresponding relation between the trend nodes is more rigorous, judgment errors caused by time migration are reduced, difference accumulation is conducted on the trend nodes and the mode nodes, the water state matching relation is output in a difference sequence screening mode, the deviation degree is presented in a quantitative mode, and therefore a stable deviation basis is provided for risk judgment.

The invention discloses a method for removing antibiotic resistance genes in bottom mud in situ, which comprises the following steps of: lowering the water level of a water body to expose the bottom mud out of the water surface, and keeping the time of exposing the bottom mud out of the water surface within 25 days; and recovering the flooding state, and keeping the sediment in the flooding state for more than 25 days. Compared with a conventional method, the method for removing the antibiotic resistance genes in the bottom mud in situ has the advantages that the growth states of different microorganisms and the content of organic matters in the bottom mud can be controlled by adjusting the water level of water around the bottom mud and controlling the exposure time and the exposure height, and then the antibiotic resistance genes in the bottom mud can be removed by adjusting the content of the microorganisms and the organic matters in the bottom mud. The sediment antibiotic resistance gene can be effectively removed under the condition of lower cost, and the sediment antibiotic resistance gene removal method has the advantages of simple process, low cost, good removal effect, good adaptability and the like, and has an important promotion effect on effectively improving the ecological environment of sediment.

The present application relates to an array electrode intelligent sensing system for tunnel gushing water monitoring and a method thereof. The system comprises a flexible sensing array implanted inside or on the surface of a tunnel lining structure, an intelligent acquisition node and a data analysis platform. The flexible sensing array is composed of multiple composite sensing units arranged in a predetermined topological structure, each unit integrating a main electrode for measuring resistivity / potential, a temperature sensor for measuring temperature and a flexible strain sensor for measuring deformation; the intelligent acquisition node connects the sensing array to synchronously acquire resistivity, temperature and strain data in multiple channels, and preliminarily processes and extracts features from the original data; the data analysis platform receives data from multiple nodes, and through a multi-parameter spatio-temporal fusion analysis model, realizes the collaborative intelligent analysis from "water-bearing state perception" to "structure deterioration evaluation" to "gushing water risk early warning". The present application realizes the fine, three-dimensional and real-time monitoring of the incubation process of tunnel water disasters.

The invention relates to the technical field of hydrogeological monitoring, in particular to a single-hole multi-horizon underground water monitoring system and method, and the system comprises a data collection module, a data processing module, a horizon recognition module, a state evaluation module and an early warning output module. Wherein the data acquisition module is used for acquiring underground water original monitoring data of a plurality of layers; the data processing module is used for filtering and normalizing the original monitoring data; the horizon identification module is used for identifying different horizons through threshold comparison and time sequence analysis and generating horizon identification data; the state evaluation module is used for evaluating the underground water state of each horizon; and the early warning output module is used for generating and outputting underground water early warning information. According to the invention, through multi-layer sensor arrangement, data fusion processing and grading early warning linkage, accurate identification and dynamic monitoring of single-hole multi-layer underground water are realized, and the accuracy and real-time performance of underground water state evaluation and risk early warning are significantly improved.

The present application relates to the technical field of numerical simulation of ecological hydrological process, and discloses a sand-distributed ecological hydrological two-way coupling modeling system, which comprises initialization and discretization, ecological growth calculation and source item generation, rhizosphere biochemical environment evolution and hydraulic constitutive correction and fluid transport solving modules, a finite difference grid is constructed in the system, and a root exudate release source item is calculated based on a current water state; exudate migration is simulated to reconstruct an effective dynamic viscosity of fluid and a dynamic contact angle of a sand particle surface; the soil unsaturated hydraulic conductivity and the matric potential are corrected according to the reconstructed parameters, a fluid transport control equation is solved to update the water distribution, and the state is fed back to the ecological module to form a closed loop. Through simulation of the rheological resistance and infiltration shielding effect induced by root exudate, the present application solves the problem that the traditional model ignores the dynamic evolution of the physical properties of the medium, and improves the physical authenticity of the simulation of the hydrological process in the arid region.

The invention provides a dynamic identification and restoration decision-making method for an underground water funnel area, and belongs to the technical field of water conservancy optimization based on deep learning. The method comprises the following steps: firstly, constructing a high-dimensional underground water state data set; then, establishing an underground water evolution numerical model by utilizing the data set, and realizing dynamic and accurate extraction of three-dimensional boundaries and key characteristic parameters of the funnel area; then through a deep learning prediction model cluster, on the premise of following a groundwater dynamic physical rule, high-fidelity and uncertainty quantitative rapid prediction is carried out on future head field changes; and finally, taking the prediction model as a decision-making deduction environment, and training an intelligent agent by using a deep reinforcement learning algorithm, so that the intelligent agent can autonomously learn and generate an optimal restoration management and control strategy considering restoration benefits, economic cost and sustainability. According to the invention, a closed-loop intelligent system capable of autonomously learning and continuously optimizing is formed, and a scientific, efficient and systematic brand-new solution is provided for management of underground water resources.

An underwater excavation work cabin capable of moving in multiple directions is composed of a dangerous goods excavation work ship buoyancy ship body, an underwater excavation work cabin, an underwater excavation work cabin lifting device, an underwater excavation work cabin lifting guide structure, a compressed air pipeline, a crane, an underwater camera, an internal pressure monitor, an external water pressure monitor and the like. The underwater dangerous goods excavation working cabin is installed on a special working ship capable of being self-propelled and self-positioned, and the underwater excavation working cabin is placed underwater through an underwater excavation cabin lifting device installed on the ship till the bottom of the underwater cabin makes contact with the river bottom. Compressed air is injected into the underwater cabin through a compressed air system on the ship, and when the pressure of the compressed air is larger than the pressure outside the excavating cabin, water in the underwater cabin can be pressed out of the excavating cabin. Therefore, the river bottom of the coverage area of the excavation cabin is in a water-free state.

The application relates to the technical field of Internet of Things, and particularly discloses a collaborative control system for an Internet of Things device based on a comprehensive pole, which comprises a rainfall monitoring module arranged on the comprehensive pole and used for monitoring real-time rainfall; a water immersion sensor arranged on the comprehensive pole and used for monitoring real-time water depth; an intelligent sensing well lid used for monitoring the state and operation data of the well lid; a comprehensive pole analysis module in communication connection with the rainfall monitoring module, the water immersion sensor and the intelligent sensing well lid respectively and used for analyzing the drainage state of the region where the comprehensive pole is located; and a warning module arranged on the comprehensive pole and in communication connection with the comprehensive pole analysis module and used for warning and early warning control of traffic according to the analysis result of the comprehensive pole analysis module. The application can judge the drainage risk of the current region in advance through predictive analysis of the water depth and comparison and analysis of real-time water level information.

The invention discloses oil spill dispersant experimental equipment, which comprises a test water tank, a wave generation device and a water flow generation device, the wave generation device comprises a wave generation push plate and a wave generation control assembly for driving the wave generation push plate to move, and the wave generation push plate moves to drive liquid in the test water tank to generate waves. The water flow generation device comprises an overall flow generation assembly and a dragging flow generation assembly, the overall flow generation assembly comprises a water inlet used for supplying water to the test water tank and a water outlet used for discharging water from the test water tank, and when the water inlet controls water feeding of the test water tank and the water outlet controls water discharging of the test water tank, the overall flow generation assembly is driven to rotate; the integral flow generation assembly controls the integral flow of liquid in the test water tank, the dragging flow generation assembly comprises a jet device and a dragging platform for driving the jet device to move along the test water tank, the jet device is used for spraying water or / and experimental liquid, the experimental liquid comprises an oil product and an oil spill dispersant, and when the jet device is in a water spraying state, the dragging platform drives the jet device to move along the test water tank. The dragging flow generation assembly can be used for controlling local liquid flow in the test water tank.