27015 results about "Water flow" patented technology

The invention provides a control node locating protecting method of undercutting channel segment water level lowering amplitude. The method comprises the steps that a lateral erosion zone and a deep erosion zone are divided; a target channel section is subjected to meshing, a plane two-dimension water flow mathematic model is established, parameter calibration and verification are carried out; a protection project is generalized to the plane two-dimension water flow mathematic model, the arranging zone and the width of the protecting project are determined; local gradient amplification and upstream water level amplification corresponding to each working condition are obtained, mesh sequences are analyzed respectively; key nodes or other nodes which have obvious influence are selected, for lateral erosion nodes, a hidden closure dam and a beach protection part are arranged on a river branch or a bottomland, and for deep erosion nodes, a bottom protecting band or a hidden closure dam are placed in a main groove. According to the method, nodes are divided into the lateral erosion nodes and the deep erosion nodes, protection part difference of the nodes in different types is provided, by comparing the efficiency of a local channel segment arranging protecting project, the positions of the nodes are accurately located, and the optimum efficiency of the protecting project is guaranteed powerfully.

The invention relates to the technical field of error correction, in particular to a water conservancy facility environment interference error correction method and device based on multi-dimensional data. The method comprises the following steps: collecting historical monitoring logs of water conservancy facilities, carrying out environmental disturbance event identification and multi-scale disturbance relevance mining, and constructing an environmental disturbance space-time relevance map; monitoring surrounding environment water monitoring parameters of the water conservancy facility, performing sequential response trend change analysis and dynamic response characteristic modeling, and constructing a facility environment personalized change response portrait; identifying a plurality of water body position monitoring data according to the surrounding environment water body monitoring parameters, and constructing a hydrodynamic full-field sensing graph; and performing nonlinear correlation analysis based on the hydrodynamic full-field perception graph and the personalized change response portrait of the facility environment, and constructing a digital twinborn model of the water conservancy facility under the water flowing condition. According to the invention, through dynamic error trend analysis and correction, the monitoring precision and monitoring stability of the water conservancy facility are improved.

The invention discloses an indoor water tank sediment starting speed measurement system and method, and aims to solve the technical problem that data accuracy is affected due to the fact that a sensor disturbs a flow field in an existing measurement method. The core of the technical scheme is that the non-contact measurement characteristic of the PIV technology is applied to the whole process from flow field construction to data acquisition. The device is mainly composed of an imaging unit, a laser lighting unit, a movable sliding frame, a water flow adjusting unit and a buffer plate. Optical measurement is carried out through the imaging unit and the laser illumination unit, a physical sensor does not need to be arranged in a flow field, and interference of a measuring instrument on a water flow structure and a sediment starting process is fundamentally avoided. The movable sliding frame which is integrally designed integrates the functions of sediment laying, particle throwing and measuring, so that a test area can be quickly positioned; and the buffer plate and the water inlet and drainage adjusting unit are combined, so that a gradually-changed flow field from weak to strong can be accurately and stably simulated.

The invention relates to the technical field of disaster monitoring, in particular to a mine inrush water image processing system based on AI recognition, which comprises a fissure water flow tracking module, a voiceprint disturbance extraction module, an acceleration mapping module, a form analysis module and a risk output module. According to the method, a fine voiceprint perturbation sequence is formed by extracting crack water flow boundary pixel coordinates from continuous frame images, accurately capturing water flow micro-displacement and generating a deviation track in combination with an inter-frame difference between a gray gradient amplitude and a direction angle, and synchronously extracting a liquid level perturbation wave crest position and a voiceprint primary and secondary frequency amplitude difference; the acceleration is calculated according to the pixel displacement speed and mapped to a time axis, so that the boundary movement trend and morphological change are synchronously analyzed in the time dimension, risk frame locking is completed by multi-source signals in the same time period under double-threshold judgment, and three-dimensional presentation of the water flow dynamic state is achieved. The accuracy and reliability of sudden water gushing risk judgment in a complex mine environment are remarkably improved, and the probability of missing detection and misjudgment is reduced.

The invention relates to the technical field of underwater navigation, and discloses a real-time attitude estimation method of an underwater inertial navigation system. The method comprises the steps that the underwater vehicle collects multi-axis angular velocity and linear acceleration data through an inertial measurement unit and uploads the data to a central processing module, and the central processing module conducts kinematics modeling on the data to generate attitude change initial feature vectors; receiving water flow velocity data of a Doppler velocimeter and pressure data of a depth sensor, and performing flow field interference compensation optimization on the attitude change initial feature vector based on the data to generate an anti-interference attitude feature vector; fusing the anti-interference attitude feature vector and a historical attitude estimation result to generate space-time fusion attitude state representation, and then resolving a real-time Euler angle through a nonlinear filter; and matching a corresponding attitude stability control instruction from the navigation strategy library according to the real-time Euler angle, and issuing the attitude stability control instruction to a propeller execution unit. The method can effectively cope with underwater complex environment interference and guarantee stable operation of the underwater vehicle.

The invention relates to the technical field of reservoir dam safety monitoring, and discloses a reservoir dam siltation dynamic monitoring and early warning system. Multi-dimensional sensing node arrays of the system are arranged at key positions of a dam body structure and a reservoir area, and sediment thickness distribution data, water flow velocity field data and sediment concentration gradient data are synchronously collected. And the edge computing node receives the original monitoring data, executes data cleaning and space-time alignment processing, and generates a standardized siltation feature data set. And the cloud analysis platform receives the data set, calculates a deposition evolution trend matrix through a space-time coupling prediction model, and outputs a reservoir area deposition risk level distribution map. And the dynamic visualization engine analyzes the risk level distribution map, generates a three-dimensional dynamic deposition situation model, and marks the space coordinates of the abnormal deposition area. And the early warning decision center generates a graded early warning instruction set according to the space coordinates of the abnormal region, and triggers a corresponding emergency response strategy.

A direct air capture (DAC) system for capturing carbon dioxide (CO2) from a dilute gas source includes a gas-liquid contactor subsystem and a wash water regeneration subsystem. The gas-liquid contactor subsystem includes a capture section, a wash section, and at least one fan to produce a CO2-rich capture solution in the capture section and a used wash water stream in the wash section. The wash water regeneration subsystem is in fluid communication with the at least one gas-liquid contactor subsystem. The wash water regeneration subsystem receives at least a portion of the used wash water stream, regenerates the wash water stream, and flows the regenerated wash water stream to the wash section. The DAC system can include a capture solution regeneration subsystem receiving at least a portion of the CO2-rich capture solution, regenerate the CO2-rich capture solution, and flow the regenerated CO2 capture solution to the capture section.

The invention provides a water flow dynamic distribution control method driven by air conditioner terminal load prediction, and relates to the technical field of air conditioner engineering.The method comprises the steps that 1, the people flow density, the environment temperature and humidity and the equipment running state of each air conditioner terminal service area are collected in real time, and a load prediction mechanism is constructed based on a spatial-temporal feature fusion algorithm; the minimum cooling capacity demand of each tail end in the future time period is predicted; 2, based on the minimum cooling capacity requirement, areas with similar load characteristics are classified into the same cluster through hot area clustering, and building scale dynamic cooling load distribution is generated with cluster mass center data as the benchmark; and step 3, calculating an energy flexibility penalty coefficient based on the dynamic cooling load distribution in combination with the real-time deviation between the indoor temperature and the comfortable temperature difference, and generating a regional water flow regulation weight. According to the method, dynamic distribution of the water flow is driven through load prediction, the water pump frequency and the refrigerating unit strategy are dynamically adjusted in combination with real-time energy consumption feedback, and self-adaptive adjustment of the branch water flow is 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 hydraulic engineering monitoring, and discloses a hydraulic engineering operation risk monitoring management system based on multi-sensor fusion. The system comprises a data acquisition module, a data fusion module, an early warning and instruction generation module, and an instruction distribution and verification and correction module. The data acquisition module acquires structural deformation, water flow pressure and environment temperature and humidity data in real time through multiple types of intelligent sensors; the data fusion module inputs the collected data into a dynamic weighted fusion model, and generates a comprehensive monitoring index in combination with a sensor confidence coefficient weight and a historical data deviation rate; the early warning and instruction generation module triggers multi-stage early warning and generates an equipment regulation and control instruction set according to the comprehensive monitoring index and a preset safety threshold value; the instruction distribution module distributes the instruction to an execution terminal through a distributed message queue; and the verification and correction module checks terminal feedback signals by using a back propagation verification mechanism, and corrects the confidence coefficient weight of the model.

The utility model discloses an electrolytic bath bipolar plate with micropore flow channels and an electrolytic bath, a micropore flow channel network is arranged on the side surface of an anode of a plate body, and the micropore flow channel network comprises a plurality of groups of micropore flow channel units which are arranged at intervals along the width direction of the plate body; each micropore flow channel unit comprises a main flow channel arranged in the length direction of the plate body and a plurality of first-stage branch flow channels arranged in the length direction of the main flow channel at intervals, a plurality of short branch flow channels are arranged on the two sides of each first-stage branch flow channel at intervals, and a jet hole is formed in the top of each short branch flow channel. The jet flow holes are formed in the direction perpendicular to the side surface of the anode, the length of the short branch runner is smaller than that of the first-stage branch runner, and the short branch runner is perpendicular to the first-stage branch runner. And the microporous flow channel network adopts a structure of combining tree fractal and T-shaped nodes, so that the mass transfer uniformity of water flow in the microporous flow channels can be improved, and the water-membrane contact efficiency is improved, thereby ensuring the hydrogen production efficiency of the bipolar plate.

The invention discloses a special-shaped steel pipe concrete pipe section hoisting dynamic pose control method, relates to the technical field of ocean engineering underwater pipeline installation, and mainly solves the problems of insufficient dynamic response and low space pose control precision when a special-shaped pipe section is hoisted in a complex water flow environment. The method comprises the steps that pipe section space pose design parameters are obtained, the pitch angle and the rolling angle of a pipe section are monitored in real time through an inclination angle sensor set, disturbance torque generated by real-time water flow force is calculated, sling length compensation amount is generated, and the take-up and pay-off speed of a chain block at each lifting point is independently adjusted; and meanwhile, adjusting mooring ropes moored on the two sides are pulled to control the horizontal rotation angle of the pipe section, the height of a lifting hook and tension of the mooring ropes are fed back and adjusted in cooperation with a floating crane positioning system, and finally accurate underwater in-position of the pipe section to the preset position of the seabed is achieved. The device is mainly used for hoisting and sinking operation of the special-shaped concrete filled steel tube section in the marine environment, water flow interference can be effectively resisted, and accurate butt joint and installation quality of a pipe section connector are guaranteed.

The invention relates to the technical field of hydraulic engineering safety monitoring, in particular to a safety monitoring method and system for a flood discharge and sand flushing service gate. The method comprises the steps that a super-strong permanent magnet sensor is installed on an underwater flood discharge and sand flushing service gate, and the magnetic attraction strength of the super-strong permanent magnet sensor is controlled according to real-time water flow; when the real-time water flow is larger than the preset water flow high threshold value, the magnetic attraction strength is enhanced; if the water flow is lower than the preset water flow high threshold value, the magnetic attraction strength is recovered to the standard magnetic attraction value; the ultra-strong permanent magnet sensor monitors vibration state data and dynamic stress data of each structure in the operation process of the underwater flood discharge and sand flushing service gate; obtaining a rigidity evaluation value and a dynamic stress safety evaluation value of the underwater flood discharge and sand flushing service gate; and performing evaluation in combination with the characteristic data in the operation process of the underwater flood discharge and sand flushing service gate to obtain the safety coefficient of the current underwater flood discharge and sand flushing service gate. The stability of the gate is dynamically enhanced, the magnetic attraction strength is matched with water flow impact in real time, and high-flow-speed loads are effectively resisted.

The invention provides an urban water network drainage joint scheduling method and system, and relates to the technical field of urban flood control and drainage, and the method comprises the steps: carrying out the fusion processing of multi-source monitoring data, and obtaining a feature vector; inputting the feature vector into a runoff prediction model for runoff prediction to obtain a comprehensive runoff prediction result; based on the comprehensive runoff prediction result, pipe network water flow and surface accumulated water simulation is conducted through a drainage hydraulic model, and a target simulation result is obtained; performing waterlogging risk assessment based on the target simulation result and the monitoring data to obtain a waterlogging risk level; selecting a corresponding scheduling generation mode based on the weather forecast data, the monitoring data and the waterlogging risk level; and determining a corresponding scheduling strategy based on the selected scheduling generation mode and the waterlogging risk level. According to the urban water network drainage joint scheduling method and system provided by the invention, accurate prediction simulation and scientific scheduling are realized, and the drainage efficiency is further improved.

The utility model discloses a soil moisture tensiometer, which belongs to the technical field of soil moisture tensiometers, and comprises a glass tube, a fixing component is arranged on the peripheral side of the bottom of the glass tube, a plug is arranged at the top end of a pressure monitoring device, a mounting sleeve is arranged below the plug, and the mounting sleeve is fixedly connected to the outer side of the top of the glass tube. A water supplementing and exhausting assembly is arranged on one side of the mounting sleeve. According to the water purifier, a worker manually presses a circular plate to drive a fixing rod and a piston to move, purified water stored in a fixing barrel is conveyed into a connecting block, and when the pressure of the connecting block is larger than the elastic force of a spring, water flow of the connecting block can drive a ball head block, a side block and a tooth block to move; at the moment, the liquid is conveyed into the glass tube through the stepped through hole and the one-way water inlet so as to perform water replenishing treatment on the interior of the glass tube, so that the mounting and dismounting work of the plug is reduced, the influence on the sealing performance of the plug after a long time is prevented, and the influence on the monitoring precision of a product is further prevented.

The invention relates to the technical field of environment monitoring, in particular to an intelligent digital rural environment monitoring system and method based on big data, and the system comprises a layered water potential collection module, a gradient reverse correction module, a path inversion modeling module and a multi-dimensional diffusion modeling module, and the layered water potential collection module calculates and generates rural soil environment monitoring data; the rural soil environment monitoring data comprises layered soil water potential distribution, soil water content gradient and a soil conductivity characteristic value, and the soil water potential abnormal flow data comprises a vertical water potential difference value, an abnormal water flow direction vector and a water flow intensity grade; the moisture permeation path distribution diagram comprises a permeation path distribution structure, a soil water potential accumulation interval and a water flow propagation direction identifier, and the diffusion boundary space model comprises a pollutant diffusion boundary range, a moisture transverse migration region and multi-dimensional diffusion rate distribution. According to the scheme, the abnormal distribution range, the duration time and the development trend are quantitatively described, and the research and judgment accuracy of the abnormal penetration and diffusion process is improved.

The invention relates to the technical field of ship energy efficiency analysis, and particularly discloses a digital twinning-based bulk carrier EEDI pre-evaluation and design optimization method and device, and the method comprises the steps: carrying out the multi-source data collection, building a ship full life cycle database, building a high-precision digital twinborn body based on transfer learning calibration, coupling target port tide time series data, and carrying out the design optimization. The influence of dynamic water depth and water flow changes on a ship navigation strategy is simulated, the whole-course navigational speed is optimized to reduce the total oil consumption, a hull biological pollution bottom growth model is introduced into energy efficiency evaluation, the energy efficiency attenuation trend of the whole life cycle of the ship is predicted, and an operation EEDI index is generated through multi-physics coupling simulation. And multi-target collaborative optimization is carried out in combination with maneuverability safety evaluation, so that the problems that traditional EEDI evaluation is separated from actual operation conditions and neglects tidal window matching and hull energy efficiency attenuation are solved, and accurate prediction and collaborative optimization of the energy efficiency and safety of the whole life cycle of the ship from a design stage are realized.

The invention discloses a self-adaptive control method and system for a condenser for a nuclear power station, relates to the field of condenser control, and aims to predict a future load change trend in a prospective manner by analyzing historical data of a unit power instruction and steam flow, and calculate feed-forward circulating water flow based on a prediction result. On the basis, a feedback control loop based on actually measured pressure is reserved. More importantly, a self-adaptive bias correction mechanism is introduced, and continuous learning and correction are carried out on output of feedback control, so that steady-state errors of the system are eliminated, and uncertainty of the model is compensated. Finally, feed-forward, feedback and self-adaptive correction components are intelligently fused to form a final control instruction which can quickly respond to load changes and can accurately maintain pressure stability, and the problems of severe pressure fluctuation and energy waste under the dynamic working condition are effectively solved.

The invention relates to a peak shaving power station downstream non-safe navigable water area identification method and system and a medium, and the method comprises the steps: building a peak shaving power station downstream river channel one-dimensional and two-dimensional coupling hydrodynamic mathematical model; determining a combination mode of a proposed condition and a water flow boundary condition of a typical peak regulation process of the downstream of the hydropower station; simulating and calculating downstream on-way hydrodynamic conditions of the power station under different peak shaving processes; calculating a downstream non-safe navigation index of the peak regulation power station; and identifying the downstream non-safe navigable water area of the peak shaving power station. According to the method, on one hand, the change condition of downstream hydrodynamic force of the peak regulation power station can be analyzed, on the other hand, the influence condition of the peak regulation process on downstream navigation conditions can be recognized, non-safe navigation water areas of the peak regulation power station in different discharge flow processes can be judged, and a research basis is provided for hub power generation and navigation scheduling of mountain rivers.

The invention is suitable for the technical field of intelligent control, and discloses a water cooling control method, system and device and a medium. Based on the preprocessed data, constructing a thermal load trend prediction model based on LSTM to obtain a cold load prediction value; based on the cold load prediction value, a PID adjusting signal is generated in combination with the temperature error value; based on the PID adjusting signal, a water pump target frequency instruction is obtained in combination with the cooling load predicted value; based on the water pump target frequency instruction, a valve target opening instruction is obtained in combination with the actually-measured water flow; based on the valve target opening instruction, the fault alarm and emergency instruction is generated, the preset emergency measures are executed, the PID control parameters are updated, the performance evaluation report and the feedback information are obtained, and the response speed, the operation stability and the autonomous decision-making capacity of the water cooling system under the dynamic load and abnormal working conditions are improved.

The invention provides an underwater robot obstacle avoidance system based on object capture. The method comprises the steps of collecting spatial visual information in a target area where the underwater robot is located in real time; acquiring multi-modal environment data in a target area where the underwater robot is located; constructing polarized light data in the multi-modal environment data into a water body scattering model by adopting a Mueller matrix to correct optical distortion in spatial visual information; acquiring a real-time motion state of the underwater robot through an inertial measurement unit; acquiring water flow disturbance data of the underwater robot, and correcting position drift caused by water flow disturbance in a real-time motion state by combining a water body flow model with the water flow disturbance data acquired in real time; constructing a dynamic risk field corresponding to the target area based on the spatial visual information, the corrected real-time motion state and sonar ranging data in the multi-modal environment data; and generating an obstacle avoidance strategy of the underwater robot in a future preset time period based on the dynamic risk field so as to realize dynamic obstacle avoidance.

The invention discloses a drainage basin water quality pollution source flux identification method based on an SWAT model, computer equipment and a storage medium, and the method comprises the steps: obtaining topographic data, land utilization data, soil type data and meteorological data, and enabling the topographic data, the land utilization data, the soil type data and the meteorological data to form a drainage basin spatial database; based on the preprocessed digital elevation model, determining a water flow direction and setting a reasonable water collection area threshold value, and dividing sub-basins to construct a basin calculation unit network topology structure; obtaining pollution source data, and constructing an SWAT-CUP model according to the pollution source data; performing system calibration and verification on the watershed hydrological process by adopting an SUFI-2 algorithm in the SWAT-CUP model; carrying out system calibration and verification on the total nitrogen load of the drainage basin by adopting an SWAT-CUP model; and based on the calibrated SWAT hydrological model, the input condition of the pollution source is changed. The method can cover the whole watershed and quantify the contribution rate of different pollution sources; cost is high, operation is simple, and long-term change can be dynamically simulated.

The invention relates to the field of water environment monitoring and treatment, in particular to a lake and reservoir pollution flux dynamic evaluation and optimization system and method.According to the system, hydrological, water flow, meteorological and remote sensing data are collected in real time through a data processing module, and a pollution flux space-time matrix is generated; the atlas generation module constructs a mechanism model based on the matrix and outputs a pollution flux thermodynamic atlas; the scheme simulation module determines a pollution source emission reduction scheme according to the map and simulates the influence of the pollution source emission reduction scheme on lake and reservoir water quality and ecology; and the feedback optimization module performs treatment efficiency scoring on the simulation result, compares the evaluation result with a preset threshold value, and adjusts the emission reduction scheme and updates the thermodynamic map when the evaluation result does not reach the standard. According to the method, through data driving, map visualization, scene simulation and dynamic feedback closed loop, accurate evaluation and optimal regulation and control of the lake and reservoir pollution flux are realized, and a scientific basis is provided for pollution abatement decision.

The invention discloses a hydropower station water level detection method and system. The method comprises the steps that an original water flow characteristic parameter set is obtained through multiple sets of Doppler effect radar flow measuring devices; performing segmentation extraction to obtain a water flow feature sub-data set; inputting a Transform network coding layer to generate a water flow feature coding vector; outputting a preliminary water level predicted value sequence through a decoding layer; a radar flow measurement model is called for correction to obtain a correction sequence; time sequence integration is carried out to obtain a water level change curve. The system comprises a multi-source Doppler radar signal acquisition unit, a spatial-temporal feature segmentation extraction unit, a Transform coding processing unit, a water level preliminary prediction unit, a radar model correction unit and a time sequence integration output unit. According to the method and system, multi-source parameters are deeply fused, the environmental adaptability is improved, the continuity and reliability of a detection result are enhanced, the water level of the hydropower station can be accurately monitored, and support is provided for scheduling decision and safety prevention and control.

The invention relates to the technical field of bus ducts, and discloses an efficient heat dissipation bus duct with a waterproof function, which comprises an upper cover plate, a lower cover plate and conducting bars vertically arranged between the upper cover plate and the lower cover plate, the conducting bars are symmetrically arranged in groups, and a heat dissipation cavity is formed between the two groups of conducting bars; the upper cover plate and the lower cover plate are respectively provided with convection heat dissipation holes communicated with the heat dissipation cavity, and the convection heat dissipation holes and the heat dissipation cavity form an air convection air channel which is used for conducting convection heat dissipation on the conducting bar. According to the invention, the conductive bars are arranged at intervals to cooperate with the convection heat dissipation holes to form the convection heat dissipation cavity for the inner cavity of the bus duct, so that the efficient heat dissipation performance of the bus duct is ensured; through arrangement of the sealing strips and the hydrophobic protrusions, on the premise that the sealing performance of the conducting bar is guaranteed, water flow in the heat dissipation cavity can be prevented from flowing to gaps among the conducting bar, the inner heat dissipation plate and the cover plate, and the waterproof performance of the whole bus duct is improved.

The invention relates to the technical field of wastewater recovery, in particular to a recovery device and process for reactive dye dyeing wastewater, and the recovery device comprises a tank body which is internally provided with a filter plate and a cleaning assembly, and the cleaning assembly comprises a cleaning plate; the collecting assembly comprises a collecting box mounted above the cleaning plate; the flushing assembly comprises a plurality of groups of connecting rods, and nozzles are mounted on the plurality of groups of connecting rods; the device has the beneficial effects that reactive dye dyeing wastewater is filtered through the filter plate, when the motor drives the cleaning plate to rotate, the elastically arranged scraping plate can scrape residues attached to the surface of the filter plate, the residues are prevented from blocking filter holes in the filter plate, and when the cleaning plate rotates, the residues scraped by the scraping plate are accumulated in the collecting frame, so that the cleaning effect is good. And under the flowing of the water flow, the water flows into the collecting box through the through groove, so that the residues are collected.

The invention discloses a hydraulic engineering monitoring and early warning system and method based on artificial intelligence, and belongs to the technical field of hydraulic engineering. Gate operation data are collected through a gate sensor group to form a gate state data set; floating object data are collected through a high-definition camera and an image recognition technology, and the floating object data are marked as floating substance points containing volume, form and coordinates; dividing a flood discharge area into grid units, and recording floating object information in each grid to form a spatial distribution data set; predicting a migration path and duration based on the water flow data and the floating object parameters, marking a grid overlapped with the gate area as a core grid, and identifying a high-risk grid; dynamically associating floating object parameters and gate state parameters in the core grid, calculating an association coefficient, and positioning a potential contact risk grid; according to the floating object accumulation rate and the correlation coefficient, early warning grades are divided, and gate blockage early warning is generated; meanwhile, high-risk floating objects passing through the gate are tracked, and the path of the high-risk floating objects is predicted to generate salvage early warning reminding.

The invention discloses an indoor water tank sediment pushing characteristic acquisition system and method, the system mainly comprises a water tank main body, a buffer unit, a drainage adjusting unit, a sediment throwing device, an imaging unit, an adjustable support and a data processing unit, and according to the method, non-contact data acquisition is carried out through a high-definition camera and a three-dimensional terrain measuring instrument; automatic identification, parameter extraction and migration speed calculation of landforms such as sand waves are achieved, the sediment bed surface is not touched in the whole process, damage to the bed surface form caused by traditional contact type measurement is eliminated, and the authenticity and reliability of data are ensured. Meanwhile, the buffer design of the combination of the flow slowing plate and the multi-stage water baffle is adopted, the kinetic energy of water flow is effectively dissipated through the graded water outlet structure, the impact force of injected water flow is greatly reduced, the bed surface is prevented from being scoured in the initial water injection stage, and the stability of the initial test condition is powerfully protected.

The invention provides an underwater welding robot which comprises two clamping mechanisms arranged in a spaced mode. The adjusting mechanisms are used for adjusting the distance between the two adjusting mechanisms; the water retaining mechanism is used for moving the annular water retaining cavity to a welding position so as to reduce the influence of water flow on welding equipment; and a vision controller. According to the underwater welding robot, the two clamping mechanisms are arranged, one clamping mechanism can be clamped on a pipeline needing to be connected and convey the pipeline to the water along with the pipeline, and the other clamping mechanism is clamped on the underwater pipeline after conveying the pipeline to the water along with the pipeline; the adjusting mechanism is arranged, so that the distance between the two clamping mechanisms can be adjusted; a water retaining mechanism is arranged, so that an annular water retaining cavity can be moved to a welding position to reduce the influence of water flow on welding equipment; and the visual controller is arranged, the pipeline connecting position can be determined underwater, the influence of water flow on welding is avoided through the water retaining mechanism, and the welding precision is high, adaptability is good, and practicability is good.