83 results about "Water level fluctuation" patented technology

The invention relates to the technical field of shale gas development underground water monitoring, and discloses a shale gas development area deep underground water environment intelligent monitoring and early warning method. According to the method, a dynamic simulation model of a deep groundwater environment is constructed based on geological structure characteristics and historical environment data of a shale gas exploitation area, and a basic framework is provided for subsequent analysis. And then, acquiring a groundwater environment real-time monitoring data set including water quality concentration, water level fluctuation and soil seepage rate through a preset monitoring well array, and realizing comprehensive capture of groundwater environment information. Then, the real-time monitoring data set is imported into the dynamic simulation model for calibration, and it is ensured that the model can accurately reflect the actual situation. And then operating the calibrated model, simulating the migration process of the pollutants in the underground water, and outputting a risk prediction value. And finally, comparing the risk prediction value with a preset safety critical value, and generating an early warning instruction according to a result.

The invention provides a karst collapse risk assessment method and device, electronic equipment and a storage medium. The method provided by the invention comprises the following steps: acquiring geological index data; according to the size of the line karst rate, determining the regional type of karst division, and forming a three-dimensional geologic model according to the regional type of karst, the thickness of a covering layer and the elevation of a stratum interface; judging whether the current area is a high deformation gradient area or not, judging whether the current area is a fracture structure control area or not, and judging whether the current area is a water level fluctuation sensitive area or not; forming a fuzzy fault tree structure, and performing Monte Carlo simulation on a grid to obtain a grid-level collapse risk probability; and determining a dynamic risk comprehensive index according to the grid-level collapse risk probability, the currently monitored covering layer pore water pressure and the line-of-sight deformation rate, and determining a risk level according to the dynamic risk comprehensive index. According to the method, real-time monitoring and dynamic analysis of surface deformation can be realized, and the accuracy of risk assessment can be improved.

This invention discloses an ecological scheduling method and its application based on fish reproductive needs, belonging to the field of environmental protection technology in water conservancy and hydropower engineering. This invention specifically addresses the challenge of protecting fish that lay adhesive eggs. By establishing a population reproductive characteristic adaptation domain model (Ω(pi)), it quantifies for the first time the dynamic response relationship between water level fluctuations (proximal factor) and water temperature and flow velocity (terminal factor), breaking through the limitations of traditional ecological scheduling that only focuses on a single hydrological indicator. It achieves multi-objective collaborative optimization, balancing engineering needs such as flood control, power generation, and water supply with ecological protection through a dynamic adjustment model of ΔH(t). Through proximal factor monitoring and terminal factor feedback, it corrects the water level adjustment ΔH(t) in real time, improving the response speed compared to traditional methods. Furthermore, by dividing the control period according to the key processes of the fish life history, the water level fluctuation limit during the spawning period is more precise, providing an innovative technical method for ecological scheduling in water conservancy projects.

The invention provides a high-fidelity generalization method and system for plain river network water flow simulation, and relates to the technical field of model simulation. The method comprises the steps that a node river network is constructed, constructing a physical river network topological structure comprising a main river channel node, a river reach, a regulation and storage node and a virtual river reach; a dynamic parameter configuration step: configuring hydraulic parameters for the section in the physical river network topological structure; a boundary coupling step: distributing water catchment unit runoff obtained by calculation of the hydrological model to corresponding regulation and storage nodes as boundary input conditions; and a simulation execution step: performing hydrodynamic simulation calculation based on the constructed physical river network topological structure, the configured hydraulic parameters and the distributed boundary input conditions. Through a high-low water level dynamic parameter method, a hydrodynamic model parameter calibration method is optimized, especially for rivers with large water level fluctuation amplitude, and the accuracy of simulation results is ensured.

The invention relates to the technical field of fire-fighting management and control, and particularly discloses a water level detection and fire-fighting identification method and system based on automatic control, and the method comprises the steps: obtaining the temperature and acoustic multi-modal data of a fire-fighting pipe network, building a pipeline temperature gradient model, and predicting the temperature distribution of each section through combining the environment and the medium temperature; and extracting ice crystal nucleation and fluid anomaly characteristics at low temperature. Based on the temperature gradient, the acoustic spectrum, the water level fluctuation rate and historical data, a multi-parameter fusion congelation risk assessment model is constructed, and risk indexes are calculated and graded; constructing a congelation risk and firelight early warning linkage control strategy, and adaptively adjusting a firelight detector threshold value and a sampling frequency according to a risk level; when the risk reaches an early warning value, partitioned heating is implemented, a temperature recovery curve and water level stability are collected in real time as feedback, model iterative optimization and closed-loop control are achieved, early warning accuracy is improved, energy consumption is reduced, and reliable operation of a fire fighting system is guaranteed.

The application provides a multi-dimensional diagnosis method for seepage state of porous media based on dynamic evolution of lag time, and belongs to the field of dam safety monitoring; solves the problems of strong hysteresis, many interferences and poor applicability of existing dam seepage monitoring; the method comprises the following steps: obtaining long sequence reservoir water level and piezometric tube water head monitoring data of a target porous medium and preprocessing; calculating the reference memory duration of the lag response of the piezometric tube water head to the reservoir water level fluctuation, and establishing a normal state baseline; extracting a dynamic lag time sequence; calculating the scaling index sequence of each piezometric tube water level sequence as a memory persistence index; calculating the transfer entropy of the reservoir water level to the piezometric tube water head as a hydraulic information transmission strength index; establishing a reservoir water level-lag response time function in a reference period, stripping the geometric effect, extracting the net medium effect, establishing a multi-dimensional joint criterion, determining the seepage state of the target porous medium and dividing the degradation grade; and the application is applied to dam seepage diagnosis.

The application discloses a kind of fish suitable flow habitat spatio-temporal distribution calculation method and system, through basic data collection pre-processing, target fish life history and reservoir scheduling spatio-temporal matching, cascade reservoir dynamic backwater length calculation, habitat suitability determination of dehydration river section, spatial superposition between cascades, habitat time dimension accounting and spatio-temporal matrix construction, planning scheme compliance verification and the like steps, realize the spatio-temporal dynamic accurate delineation of the habitat of native fish suitable flow after cascade development.The application fully considers the water level fluctuation and backwater dynamic change of reservoir within a year, the differentiated habitat needs of different life history stages of target native fish, solves the industry pain points of traditional method such as insufficient accuracy, disconnection with protection target and lack of time dimension evaluation, and can provide scientific and accurate technical support for basin hydropower development layout optimization, ecological protection measure formulation and planning scheme environmental impact assessment comparison.

The application discloses an adaptive water level water taking device, which comprises a water conveying assembly, a water taking assembly, a water inlet assembly and a guide assembly. The water conveying assembly comprises a first flexible pipe body, a rigid pipe body and a second flexible pipe body which are sequentially connected. The water taking assembly comprises a water inlet float and a counterweight float. The adaptive water level water taking device has a source vibration reduction effect and can be modularly prefabricated. The device solves the problem that vibration of an existing suspended water taking device under water level fluctuation and water flow impact can cause pipeline stress concentration, fatigue damage of a connecting part and further decline of water taking system stability. Meanwhile, the device can freely increase or decrease the number of flexible pipe sections according to specific water area working conditions, and the overall structure is detachable, facilitating construction and installation. The device not only attenuates water flow pulsation and vibration energy caused by equipment operation from the source of vibration, but also solves the problem of displacement incoordination between a suspended water inlet and a rigid pipe at a shore end to a certain extent. Meanwhile, the device achieves the effect of protecting the water conveying system by limiting the transmission path of vibration to the rigid pipe section.

The invention relates to the technical field of water conservancy projects, in particular to an earth and rockfill dam safety state instant evaluation system and method based on multi-source data. The method comprises the following steps that seepage simulation calculation is conducted on a target earth and rockfill dam on the basis of a preset multi-source working condition parameter combination, an earth and rockfill dam seepage basic data set is constructed, and the earth and rockfill dam seepage basic data set comprises a seepage seepage line data set and a single-width seepage data set; determining a seepage monitoring point position of the target earth and rockfill dam based on the seepage infiltration line data set; and establishing a parameterized relational expression set based on the seepage infiltration line data set and the single-width leakage data set. According to the method, through the deviation comparison between the real-time monitoring data and the multi-state parameter model, the normal water level fluctuation and the premonition of the seepage-proofing body damage can be accurately distinguished, and the immediate identification and early warning of the early symptom of the progressive damage can be realized.

According to the technical scheme, the quantitative feeding device is characterized in that the quantitative feeding device comprises a buoyancy frame, a plurality of buoyancy barrels are fixedly installed on the bottom face of the buoyancy frame, a material barrel is fixedly installed in the buoyancy frame, and the outer circle wall face of the material barrel is fixedly sleeved with a fixing ring; the throwing assembly is arranged on the outer circle wall face of the material barrel and used for throwing baits for deep-sea breeding, the throwing assembly comprises a butt joint table, the butt joint table is arranged on the outer circle wall face of the fixing ring, and through the linkage rotation design of the fixing table and the butt joint table, the vertical height difference between the fixing table and the butt joint table caused by water level fluctuation is automatically compensated; it is ensured that a key butt joint part clamping column and a groove are always kept aligned on a space track, rigid butt joint obstacles caused by water level fluctuation are avoided, a cam-spring mechanism is driven through movement of a recovery steel rope, and the clamping column generates high-frequency micro-amplitude vibration.

The invention discloses a plateau lake ecological water demand data analysis system and method, which can improve the space-time consistency of multi-source heterogeneous data, accurately calculate the water volume change caused by freeze-thaw evaporation, and dynamically identify the critical state of an ecological system. By synthesizing the multi-time scale water demand and evaluating the damage risk, early warning support is provided for coping with sudden meteorological events. A double-layer optimization scheduling mechanism is adopted, balance of multi-target water demand under an annual scale is ensured while water level fluctuation is responded at an hour level, and operable decision boundary conditions are provided for emergency scheduling by generating a dynamically adjusted water demand curve and accurately quantifying water shortage risk probabilities under different time scales. And ecological irreversible damage caused by prediction deviation is avoided.

The invention belongs to the technical field of intelligent monitoring, and particularly relates to a mountainous area building underground structure water control anti-floating system based on intelligent monitoring, which comprises a multi-mode sensing module, an AI-driven prediction decision module and an edge-cloud cooperative control module, four-dimensional synchronous monitoring of the underground water level, the water pressure, the seepage direction and structural deformation is achieved through the multi-mode sensing module, an underground water level-geology-weather coupling prediction model is constructed through the AI-driven prediction decision module, a water level change curve and an anti-floating safety coefficient in the future 72 hours can be accurately output, a reliable basis is provided for system control, and the system reliability is improved. And secondly, the edge-cloud cooperative control module realizes data preprocessing through an edge computing node, a cloud platform operates a multi-objective optimization algorithm, a drainage pump start-stop threshold value and a seepage control valve opening degree are dynamically adjusted, energy consumption, drainage efficiency and underground water level fluctuation amplitude are optimized, and the overall operation efficiency of the system is improved.

The hydro-fluctuation belt rock mass micro-plastic sampling device comprises a housing, a water tank, a sampling chamber and a handheld rod, the handheld rod is connected with the top face of the housing, a sealing ring is fixed to the bottom face of the housing, the sampling chamber is arranged in the housing and connected with the housing through a connecting rod, and a water inlet pipe and a water pumping pipe are arranged on the housing on the two sides of the sampling chamber respectively. The water inlet pipe and the water pumping pipe are respectively communicated with the water tank and the outside through hoses, a draining pump and a water pump are respectively arranged on the water inlet pipe and the water pumping pipe, two sides of the sampling chamber are respectively communicated with an electromagnetic valve, and a sampling ball is arranged in the sampling chamber. According to the invention, the micro-plastic is stripped through ultrasonic waves, the sealed space is prevented from pollution, non-destructive and amphibious sampling of the rock micro-plastic in the hydro-fluctuation belt is realized, and the problems that the traditional rock micro-plastic sampling equipment is deficient, the sampling period is long, the sampling difficulty is high, the pollution is easy and the transportation is difficult are solved.

The invention provides a reservoir area soil bank slope bank collapse width prediction method, and relates to the technical field of water conservancy and hydropower engineering, and the method comprises the following steps: measuring the current terrain section of a bank slope, obtaining the bank slope height, slope angle and bank slope terrain line before reservoir water storage, and obtaining the characteristic water level of reservoir water storage; drawing an engineering geological profile map; the bank slope soil body is sampled, and physical and mechanical indexes of the bank slope soil body are measured through a test; and drawing a bank collapse width schematic diagram, and predicting the bank collapse width of the bank slope. According to the method, the four-section method bank collapse prediction model is established, the influence of the water level amplitude variation area and stormy waves on the stability of the reservoir bank is fully considered, the problem that the actual bank collapse width is inconsistent with the prediction result after water storage of the reservoir in the prior art is solved, and meanwhile the method has the advantages of being simple, easy to implement, high in reliability and accurate in prediction result.

The utility model discloses a water quality and level monitoring device. The water quality and level monitoring device comprises a pipe joint, a floating plate assembly, a water level monitoring unit and a water lifting assembly, the pipe joint comprises a plurality of sleeves with the diameters gradually reduced, the sleeves can be contained in the sleeves with the diameters larger than those of the sleeves and making contact with the sleeves, and a cavity is formed in the pipe joint. The floating plate assembly is detachably arranged at the lower end of the pipe joint, and the floating plate assembly can float on the water surface and support the pipe joint. The water level monitoring unit is erected on the ground or a wellhead and detachably connected with the upper end of the pipe joint, and the pipe joint floats along with water surface fluctuation and can be monitored through the water level monitoring unit. The water lifting assembly is detachably connected with the pipe joint and used for pumping water out of the bottom. The telescopic pipe joint extends downwards to the water surface, the whole pipe joint is poked up and down along with the water surface through the floating plate assembly, the water level monitoring unit with the fixed distance from the ground moves relatively, and water level fluctuation can be visually observed through the water level monitoring unit.

The invention discloses a water level threshold value dynamic adjustment method and system based on automatic drainage of a transformer substation, and relates to the technical field of transformer substation hydraulic monitoring, and the method comprises the following steps: obtaining water level data of a transformer substation drainage pipe, and classifying water level states based on the water level data to obtain a water level state set; constructing a membership degree input set based on the water level state set, and performing fuzzy logic reasoning on the membership degree input set to obtain a drainage pump control signal; adjusting an interval range of a preset membership function according to the drainage pump control signal to obtain a water level fuzzy decision set; state transition is carried out on a drainage pump control signal based on a water level fuzzy decision set, a transition control threshold sequence is obtained and discretized into a drainage pump start-stop command capable of being recognized by a PLC, and the problem that drainage is not timely or frequent start-stop is possibly caused due to the fact that a drainage threshold value is fixed and inflexible due to water level fluctuation in substation drainage pump control is solved.

The present application provides a karst collapse risk assessment method, device, electronic equipment and storage medium. The method provided by the present application comprises: acquiring geological index data; determining the regional type of karst according to the size of the linear karst rate, forming a three-dimensional geological model according to the regional type of karst, the thickness of the overburden and the stratigraphic interface elevation; determining whether the current region is a high deformation gradient area, determining whether the current region is a fault structure control area, and determining whether the current region is a water level fluctuation sensitive area; forming a fuzzy fault tree structure, performing Monte Carlo simulation on the grid, and obtaining a grid-level collapse risk probability; determining a dynamic risk comprehensive index according to the grid-level collapse risk probability, the currently monitored overburden pore water pressure and the line-of-sight deformation rate, and determining a risk level according to the dynamic risk comprehensive index. The method of the present application can realize real-time monitoring and dynamic analysis of surface deformation, and can improve the accuracy of risk assessment.

The invention provides a karst bank slope rock mass corrosion simulation experiment device and method in a water pumping and storage engineering environment, and relates to geotechnical engineering.The karst bank slope rock mass corrosion simulation experiment device comprises a reaction box, a rock mass corrosion simulation experiment device and a rock mass corrosion simulation experiment device, the corrosion liquid circulating box is connected with the bottom of the reaction box through a backflow pipeline; the corrosion liquid pumping and storing adjusting system and the corrosion liquid circulating box are connected with the reaction box, the floating ball switch is arranged in the reaction box and connected with the suction pump, the floating ball switch controls the suction pump to be started and stopped according to the height of the water level in the reaction box, the second adjusting valve, the second flow meter and the control valve are arranged on the backflow pipeline, and the PLC controls the suction pump and the control valve to work; a temperature control system; a pressure control system; and the pH automatic control system is used for controlling the peristaltic pump to work according to the pH value in the corrosion liquid circulating box. The device has the beneficial effects that the actual engineering environment is accurately simulated, and the rock mass corrosion characteristics under the coupling action of multiple factors such as complex water level fluctuation and water pressure change in the water pumping and storage engineering are researched.

This utility model discloses an escape prevention device for rice-fish farming, belonging to the field of agricultural aquaculture technology. It addresses the problems of fixed-height protective nets that cannot adapt to water level changes and the lack of sun protection mechanisms. The device includes a paddy field embankment with a fishpond inside. A protective plate corresponding to the fishpond is fixedly connected to the top of the embankment, and multiple protective nets are fixedly connected inside the protective plate. This utility model incorporates a floating barrier mechanism. The floating plate and the telescopic barrier work together to automatically raise or lower the barrier according to changes in the paddy field water level. When the water level rises, the floating plate raises the telescopic barrier to prevent fish from escaping. When the water level drops, the telescopic barrier lowers with the water level, always maintaining a suitable height, thus effectively preventing fish escape due to water level fluctuations. Simultaneously, the automated design of the floating barrier mechanism reduces reliance on manual labor, saving labor and time costs.

The invention relates to the technical field of pump station system water supply management, and discloses a pump station constant water level control method and device, computer equipment and a storage medium. Future water level data is predicted in advance, the fluctuation amplitude of the future water level data is judged, the change trend of the water level is judged in advance, and the appropriate sampling frequency is flexibly adopted; when the predicted water level fluctuation amplitude is small, the low sampling frequency is adopted, the control requirement can be met, the data processing amount can be effectively reduced, the data processing efficiency is improved, when the predicted water level fluctuation amplitude is large, the high sampling frequency is adopted, water level change details can be carefully captured, and the whole data collection process is optimized. By calculating the water level change rate in real time, the working condition change characteristics can be rapidly recognized, so that the pump set frequency is dynamically adjusted in real time, the pump set operation mode is autonomously optimized in different scenes, it is ensured that the constant water level control target can be achieved under various working conditions, and the universality and adaptability of the control method are greatly improved.

This invention relates to the field of lake and reservoir water environment management and aquatic ecological restoration technology, and particularly to a stratified, ex-situ synergistic ecological restoration system and method for mountainous lakes and reservoirs. The ecological restoration system includes a multi-level exogenous nutrient capture and mineralization system, an endogenous release active inhibition and water quality stratified regulation system, a structure-function synergistic restoration system for water level fluctuation zones, and an intelligent decision-making system based on multi-source data fusion. The ecological restoration method includes exogenous nutrient interception and morphological transformation, stratified, ex-situ synergistic algae control, ecological reinforcement and pollutant blocking in water level fluctuation zones, and robust adaptive regulation of the system. This invention achieves full-chain synergistic restoration of mountainous lakes and reservoirs, especially deep-water lakes and reservoirs, through a multi-integrated synergistic mechanism encompassing "pollution source interception—morphological transformation—thermocline dynamic tracking and targeted oxygenation—long-term regulation of slow-release oxygen-releasing ecological substrates—gradient plant quantitative configuration—composite geotextile impermeable blanket chemical fixation—coupled model predictive proactive regulation," demonstrating promising prospects for widespread application.

This invention relates to the technical field of fountain water level control, specifically to a garden fountain control method and system based on sensor technology. The technical solution acquires real-time water level data at multiple preset locations within the fountain pool; determines the water level fluctuation at each preset location based on the variation characteristics of the real-time water level data under the influence of wind direction; determines the water level weight of at least one target location based on the water level fluctuation of each preset location, where the target location is the position participating in the calculation of the actual water level of the fountain pool; further, it can determine the actual water level of the fountain pool based on the real-time water level data of the target location and the corresponding water level weight; and then controls the fountain water level based on the actual water level and the target water level for normal operation of the fountain pool. This technical solution reduces the influence of wind direction on water level measurement within the fountain pool, improves the control accuracy of the fountain water level, and balances the fountain's spraying effect with reduced pump energy consumption.

This invention discloses a water-soil synergistic pollutant migration perspective simulation chamber, comprising: a perspective simulation chamber main body, a hydraulic boundary simulation system, a sampling system, and an environmental simulation system; the perspective simulation chamber main body is equipped with a top cover; the interior of the perspective simulation chamber main body forms an accommodating space for filling simulated soil layers; the hydraulic boundary simulation system is connected to the perspective simulation chamber main body and is used to simulate groundwater seepage driven by water level difference, precipitation recharge driven by top infiltration, and discharge processes driven by extraction, either separately or simultaneously; the sampling system is located on the front side of the perspective simulation chamber main body for collecting water samples inside the chamber; the environmental simulation system is located on the rear side of the perspective simulation chamber main body for simulating different geothermal environments. This invention can simultaneously or alternately simulate the dynamic synergistic effects of rainfall infiltration, groundwater level fluctuations, and artificial extraction on pollutant migration, thereby improving the realism of the simulation experiment.

The application relates to the technical field of big data monitoring, and particularly discloses a vector biological monitoring information system, which comprises a routine monitoring module, a special investigation module and a quality control module; the routine monitoring module is used for performing the vector biological ecology density, drug resistance and pathogenicity monitoring tasks periodically; the special investigation module comprises a background investigation submodule, a pathogen carrying investigation submodule and a water level fluctuation zone investigation submodule; the background investigation submodule is used for constructing a vector biological species background list database; the pathogen carrying investigation submodule is used for monitoring and statistically analyzing the situation of vector biological pathogen carrying; and the water level fluctuation zone investigation submodule is used for managing the water level fluctuation zone regions of reservoirs and rivers in different vector density dynamic data; the quality control module is used for monitoring the completeness, timeliness and standardization of the data reporting, and solves the technical problem that the existing vector biological monitoring information system lacks flexible and in-depth special investigation capability, thereby causing insufficient assessment of complex and special public health risk scenes.

The application relates to the technical field of concentration monitoring, in particular to a groundwater pollution concentration real-time monitoring method and system. The method comprises the following steps: acquiring water level and concentration sequences; performing baseline decomposition on the two sequences to obtain a short-time fluctuation sequence, calculating a threshold value through a standard deviation, and obtaining a water level fluctuation point set and a concentration fluctuation point set; determining a correlation weight based on the time difference between the water level and the concentration, and matching based on the correlation weight; calculating a short-time fluctuation response coefficient based on the corresponding amplitude and the correlation weight after successful matching; determining a water dynamic correlation component estimation value by correcting the water level and the concentration based on the short-time fluctuation response coefficient; determining a drift increment based on the regression slope after baseline difference fitting and an analysis window, and updating a zero-point drift value; after temperature compensation of real-time concentration, using the updated zero-point drift value to perform addition and calibration to obtain concentration calibration data, and completing real-time monitoring. The application improves the reliability of monitoring data.

The utility model belongs to the technical field of river models, and particularly discloses a large-scale hydraulic tail water level control model which comprises a hydraulic model and a water level control assembly vertically arranged on the inner wall of the hydraulic model and used for discharging water above the working water level of the hydraulic model out of the hydraulic model. The water level control assembly comprises a water gauge which is vertically arranged on the inner wall of the hydraulic model, water level scale lines are arranged on the front face of the water gauge, and a submersible pump is arranged on the water gauge and slidably connected with the water gauge. And a water outlet of the submersible pump. A telescopic bearing column for supporting the drainage pipe is arranged below the drainage pipe; a water outlet of the drainage pipe extends out of the hydraulic model. The submersible pump is matched with the water gauge, so that non-manual control is realized, the tail water level control precision is greatly improved, and the problems of water level fluctuation caused by plate turning in a traditional method and difficulty in adjustment during small flow are solved.

The invention discloses a channel design channel bottom parameter optimization method based on a monotonous field, and aims to improve the reasonability, economy and adaptability of diversion channel design, divide a channel into monotonous and non-monotonous sections according to a continuous same sign principle of channel bottom elevation differences between adjacent stake signs, determine the actual length of each section, and improve the accuracy of the channel design channel bottom parameter optimization in the monotonous field. Taking the lowest point elevation as a reference, and performing proper adjustment in combination with geological and water flow conditions; for a non-monotonous area, identifying the lowest point of the non-monotonous area, comparing the lowest point with an adjacent monotonous section, determining a design reference, automatically identifying a water level fluctuation significant section, performing curvature optimization on the non-monotonous area to ensure continuity and stability of water flow, performing segmentation fitting based on obtained reference data to obtain design elevation of each stake mark, and performing re-checking and fine adjustment to obtain a water level fluctuation significant section; on the premise that the water delivery function is achieved, the excavation work amount is obviously reduced, the method adapts to complex terrain conditions, and the construction efficiency and the engineering safety are improved.

The application discloses a kind of groundwater interaction zone pollution monitoring natural attenuation repair prediction method, it is related to groundwater pollution simulation and prediction technical field, the application includes: based on real-time water level monitoring data to construct unsteady flow model, two-way exchange flux is calculated by transient hydraulic gradient inversion algorithm;Establish three-dimensional solute displacement model, two-way exchange flux is input as dynamic boundary condition, synchronously simulate pollutant dissolved phase concentration and adsorption phase concentration, generate historical adsorption load distribution;Full true scene and anaerobic control scene are set in model, and the positive contribution of oxygen supply and the negative contribution of groundwater back discharge are quantitatively calculated by comparing output results;Based on positive and negative contribution data, the natural attenuation repair trend of interaction zone pollution under the condition of current water level fluctuation is predicted.The application realizes the accurate capture of dynamic exchange process and the contribution quantitative separation, solves the problem that the existing technology ignores the hysteresis effect, and the historical adsorption release risk is underestimated.

The invention discloses an Internet of Things environment monitoring method, equipment, a product and a medium, and relates to the technical field of Internet of Things. According to the method, a monitoring area is divided into an upstream reservoir area, a midstream reservoir area and a reservoir area in front of a dam based on terrain distribution data and dam position information; for an upstream reservoir area, acquiring pollutant concentration distribution data and flow rate monitoring data of multiple points, and determining a pollution source direction area based on the pollutant concentration distribution data; for the midstream reservoir area, determining a water layering stability state based on the temperature distribution data and the change trend of the dissolved oxygen content of each water layer; for the reservoir area in front of the dam, water level fluctuation data and gate opening information are obtained, water level response time and response amplitude are calculated based on the water level fluctuation data and the gate opening information, and response characteristics of the reservoir area to scheduling operation are determined based on the water level response time and the response amplitude; and determining a comprehensive environment assessment report based on the pollution source direction area, the water body layering stability state and the response characteristics. The method has the effect of improving the environmental monitoring accuracy.

This invention discloses a water quality monitoring and anomaly early warning method from a knowledge-data dual-driven perspective, relating to the field of water quality monitoring technology. The method includes: S1: Dimensionless processing of raw data and screening of key water quality influencing factors; establishing a water quality data anomaly type classification system using knowledge-driven methods; combining prediction residual intensity with time series structural features to automatically label abnormal water quality data; distinguishing water quality data anomalies from machine and natural factor interference; and extracting abnormal data from different data points; S2: Constructing a data-driven water quality anomaly early warning model; introducing rainfall intensity and water level fluctuations as dynamic correction factors; inputting the processed data into five base learners; integrating the output data of the base learners using a stacked generalization strategy to obtain predicted water quality data values; and obtaining dynamic discrimination and early warning results for water quality data, providing a practical model for improving the accuracy of water quality anomaly monitoring and early warning.