97 results about "Water balance" patented technology

The invention relates to a reservoir dispatching management method and system based on digital twinning, and the method comprises the following steps: carrying out the real-time parameter collection of a target reservoir, and obtaining a reservoir characteristic parameter matrix; performing three-dimensional space modeling based on the reservoir characteristic parameter matrix and the reservoir hydrogeological environment in the target reservoir to obtain a reservoir digital twinborn model; performing drainage basin rainfall-runoff dynamic response analysis on the reservoir digital twin model to obtain a drainage basin hydrological response characteristic curve group; performing prospective water balance calculation on the watershed hydrological response characteristic curve group to obtain a multi-period reservoir flow prediction sequence; and formulating an optimal scheduling instruction set of the target reservoir based on the multi-period reservoir inflow prediction sequence, and regulating and controlling a reservoir gate control system in the target reservoir based on the optimal scheduling instruction set. And the method is difficult to adapt to hydro meteorological conditions and multi-target scheduling requirements which change in real time.

The invention relates to the technical field of hydrological monitoring, and discloses a regional groundwater reserve change dynamic monitoring method based on gravity satellite time series data analysis. According to the method, the multi-source data scale effect and observation noise are effectively eliminated, the physical reliability and resolution of groundwater signal extraction are improved, and the recognition precision and early warning perspectiveness of the abnormal loss trend are enhanced. A full-chain monitoring closed loop of multi-source satellite observation, high-precision physical inversion and dynamic statistical benchmark is constructed, multi-dimensional environment data is aligned, a component separation strategy based on multi-element physical mechanism constraint is established based on a water balance principle, and anomaly diagnosis is performed in combination with a self-adaptively updated long-time-sequence historical database.

The invention discloses an irrigation index prediction method based on meteorological data and field moisture capacity, and relates to the technical field of intelligent agriculture, and the method comprises the steps: collecting real-time meteorological data, real-time soil volumetric water content data, soil matrix potential data and future precipitation forecast data, and carrying out quality control and time alignment processing to obtain a multi-source data set; the method comprises the following steps: calculating evapotranspiration of a reference crop according to real-time meteorological data, obtaining actual water demand of the crop in combination with a crop coefficient, calculating a moisture stress coefficient according to real-time soil volumetric water content data and a field moisture capacity static parameter value, and obtaining a basic irrigation demand index in combination with future precipitation forecast data. According to the method, the evapotranspiration amount is separated by adopting the Shuttleworth-Wallace model, the irrigation index integrating the crop evapotranspiration amount, the water deficit amount and the effective precipitation amount is generated on the basis of multi-period rolling water balance calculation and risk decision rules, and online calibration of soil parameters and optimization of irrigation decision are achieved.

The invention relates to the technical field of geological engineering and underground water simulation, and discloses a regional underground water simulation method and system based on a physical mechanism and deep learning, and the method comprises the steps: converting the static attributes of an observation well into the embedding of nodes and edges through a graph neural network, and obtaining spatial features; according to the dynamic input of the observation well, modeling time sequence response of the underground water system under external dynamic driving through a long short-term memory neural network; deep fusion of spatial features and time dynamics is realized through a feature interaction mechanism, and a groundwater level simulation value is generated; combining a water balance constraint with a relative water level consistency constraint between observation wells to jointly construct a composite loss function for quantifying a difference between an analog value and a real observation value, and guiding parameter updating; the time-space dynamic and physical mechanism can be sensed synchronously, and the method is more reliable and efficient.

The invention discloses an end-to-end drainage basin flood risk influence forecasting method based on physical constraints, and particularly relates to the technical field of meteorological and hydrological forecasting and artificial intelligence, and the method comprises the steps: S1, obtaining multi-source spatio-temporal data of a target drainage basin, constructing a drainage basin graph structure after spatio-temporal alignment and meshing, and constructing a drainage basin graph structure; and S2, constructing an end-to-end deep learning network comprising an adaptive multi-modal feature extraction module and an influence forecasting module, and training the network by using a loss function fused with physical constraints to obtain a flood risk influence forecasting model, the physical constraints at least comprising a water balance constraint. According to the method, the physical mechanism is deeply embedded into the data driving model, the key problems of error accumulation, poor physical consistency and disaster sample scarcity of a traditional cascade forecasting mode are solved, and the forecasting precision and reliability are remarkably improved.

The invention discloses a flood forecast evaluation method adapted to reservoir dispatching characteristics, which comprises the following steps: respectively driving the same hydrological model by using historical observation rainfall and forecast rainfall, quantifying the error contribution of the hydrological model and rainfall forecast through double-track difference, and constructing a sample evaluation weight in combination with a rainfall score; constructing a weighting condition error distribution model based on the weight, and generating a reservoir flow forecasting scene set containing physical cause characteristics; and inputting the scene set into a reservoir scheduling model containing flood control and benefit-making rules, and outputting a comprehensive scheduling risk index containing a downstream over-alarm risk and water abandoning loss through water balance and downstream evolution calculation. According to the method, the statistical weight is corrected through error attribution, the abstract forecast error is converted into specific engineering risk and economic loss, the hidden risk working condition which is difficult to find by a traditional statistical index is effectively identified, and a quantitative basis is provided for risk decision making of reservoir dispatching and targeted optimization of a forecast system.

The invention provides a drought and flood sudden change prediction method and system based on artificial intelligence, and the method comprises the steps: collecting the in-out reservoir runoff observation data of a reservoir in a target region, obtaining a restored natural reservoir runoff series based on a water balance method, calibrating a long-short-term memory model through a minimum batch gradient descent method, and carrying out the prediction of the drought and flood sudden change. Based on the natural reservoir runoff, the actual reservoir runoff and meteorological data, constructing a long-short-term memory model to simulate the influence of water conservancy project regulation and storage on the runoff; based on an earth system mode set and a multivariable deviation correction method, performing spatial downscaling on output data of earth system modes to obtain corrected meteorological variables; driving a multi-member set of an earth system mode, and separating by adopting a detection attribution technology to obtain a contribution rate of man-made climate compulsion to drought and flood sudden turning event evolution; and predicting a daily runoff process under future climate change, and predicting a future drought and flood sudden turning event by adopting deep learning and superposition of regulation and storage influence of a water conservancy project.

The invention discloses a surface water-underground water-mine water coupling simulation scheduling method and system, and the method comprises the steps: obtaining a drainage basin around a target mine in a research region, and screening a reference point closest to the target mine; calculating a water quality fluctuation coefficient of a drainage basin where a reference point closest to the target mine is located on the influence drainage basin; calculating the influence weight of the influence basin on the target mine; and constructing a water balance equation of each influence drainage basin and an underground water control equation associated with the target mine water and the underground water, taking the amount of water permeating into the underground water in the influence drainage basin as an underground water source convergence item, simulating the change state of the mine water, and planning the water amount which can be scheduled at the current simulation scheduling moment of the target mine. The system comprises a water quality sensor, a water level sensor, a data acquisition module and data processing equipment. The method is suitable for dynamic optimization management of mining areas and surrounding complex water resource systems, and is especially suitable for water resource safety scheduling and water disaster prevention and control of mining areas with large water inflow.

The application discloses a kind of substation flood intelligent monitoring method and system, it is related to electric power system safety monitoring field.The method is by building the multi-dimensional influence factor library including the bottom elevation of discharge port and pipe network permeation loss, combined with rainfall forecast executes dynamic water balance deduction, deduce according to the dynamic correction soil infiltration capacity of early rainless days, and according to the effective pressure difference of water level and the bottom of discharge port calculates net drainage capacity;Based on the deduction result, water level height field is generated by combining three-dimensional digital model for waterlogging overflow distribution;According to water level height field and equipment elevation, determine the flooding risk, and generate dispatching instruction by taking water center as target and combining prohibited operation area to optimize equipment layout coordinates;Through man-machine interaction correction parameter and trigger GPU acceleration recalculation to realize model online evolution.The application realizes the physical mechanism simulation and space intelligent scheduling under the microscale of substation, changes passive alarm into active risk deduction.

The invention discloses a reservoir scheduling calculation method based on a differential form. The method comprises the following steps: S1, collecting basic data and parameters; s2, establishing a water balance equation in a differential form according to engineering precision requirements; s3, according to different scheduling modes, according to the initial state of the time period, obtaining the reservoir outlet flow at the end of the time period, substituting the reservoir outlet flow into a water balance equation in a differential form to solve the reservoir capacity at the end of the time period, and querying a water level-reservoir capacity relation curve to obtain the reservoir water level at the end of the time period; and S4, taking the calculated water level of the reservoir at the end of the time period and the reservoir outlet flow as initial values of the next differential time period, and repeating the step S3 until analog calculation of the whole scheduling period is completed. According to the method, a zigzag process line is effectively avoided, continuous dynamic simulation of the reservoir water level and the reservoir-out flow is achieved through tiny time period iteration, the critical point of a control operation plan, reservoir-in flow change or gate opening adjustment can be responded in time, and the problem of water level oscillation caused by constant variables in time periods in a traditional method is avoided.

The invention relates to a water storage drip irrigation technology, which is a new technology and a new scheme designed for preventing trees from extreme weather with high temperature, high heat, high radiation and high evaporation capacity during a drought period. The method has the advantages that (as shown in the figure 4) water balance of planted trees is guaranteed, the soil moisture preservation time is longer, the root cracking phenomenon can be effectively prevented, the cooling effect is achieved for the planted trees, and protection measures are very prominent. Through a point, section and surface combined drought resisting mode, full coverage of tree planting and maintenance is realized. And a full pipe network type slow-release drip irrigation technology is applied to meet the drought resisting requirement of long-term balanced water receiving of the planted trees, and manual operation is not needed in the whole process. The vehicle water supply and injection source is convenient, rapid and concentrated, and an optimal water conveying combination mode with main and auxiliary functions and complementary advantages is provided. Technical breakthroughs are as follows: a tree planting protection ring maintenance technology is invented; on the basis of points, sections and surfaces, tree planting drought-resisting full coverage is achieved; the invention relates to a slow-release drip irrigation water supply technology and a multi-purpose new technical scheme and the like.

The invention relates to the technical field of hydropower station safety, and discloses a hydropower station underground powerhouse flooding fault rapid simulation prediction method, which comprises the following steps: S1, constructing a rapid simulation analysis model, a parameter system of the rapid simulation analysis model comprising geometric parameters, hydraulic parameters and disaster parameters; s2, dividing a hydropower station underground powerhouse space of the rapid simulation analysis model into a plurality of reservoirs, and establishing a water balance equation; s3, the drainage capacity of a drainage system of the rapid simulation analysis model is calculated; s4, establishing a water leakage risk point leakage model of the rapid simulation analysis model, and calculating water inlet flow; and S5, based on the mass conservation equation and the momentum conservation equation, simulating the whole process from initial leakage to complete submerging by adopting a time stepping algorithm, and outputting a prediction simulation result. The method accurately simulates and predicts the flow and water level elevation penetrating into the plant according to the spatial structure characteristics of the underground plant, so as to improve the emergency decision accuracy and response speed.

The invention discloses a crop irrigation short-term prediction method and system based on fuzzy control, and relates to the technical field of intelligent agriculture and irrigation control, and the method comprises the steps: collecting weather, multi-depth soil moisture content and field time sequence data of a crop growth stage, and obtaining irrigation feedback; processing the data, and inputting a time sequence prediction model to output water demand prediction values of one to three days and confidence obtained by mapping historical verification errors; fuzzifying the water demand predicted value, the real-time root zone moisture content and the growth stage index, performing weighted deduction and fuzzification based on a fuzzy rule base with a rule dynamic weight, and outputting planned irrigation duration or irrigation amount; and calculating the actual water consumption and updating the dynamic weight of the rule in the post-irrigation evaluation time window according to the water balance and the root zone soil moisture reserve variation. Through confidence risk suppression and post-irrigation closed-loop self-tuning, the stability of short-term prediction driving irrigation decision is improved, the over-irrigation and over-seepage risks are reduced, and the utilization efficiency of irrigation water is improved.

A method for predicting the water power generation capability interval based on multi-scenarios water simulation and operation constraint clipping, comprising generating multiple water inflow scenario sequences based on the current hydro-meteorological state and labeling the occurrence probability; performing water balance calculation and output, flow and water head relationship calculation for each scenario at each time interval, and clipping the output sequence under the full physical constraints of water level, reservoir capacity, climbing and ecological flow, and outputting the physically feasible output; taking the high and low quantiles of all scenario output values to form the initial interval envelope; through forward continuity check and continuity correction, ensuring that the interval sequence meets the water level connection and climbing constraints between time intervals; according to different trading stages, the interval width is adaptively contracted, and the contraction coefficient is optimized through a self-learning module; finally, the structured interval containing confidence and risk sources is output.

The application discloses a kind of rice irrigation area field dynamic hydrological process simulation method and system, method includes: the spatial correlation information base of rice field and ditch is constructed;With day as step simulation cycle, according to the dynamic adjustment effective field height of rice growth stage, based on field type and water level potential energy difference calculation lateral recharge or discharge;According to the exponential decay correction of plow pan saturated hydraulic conductivity of consecutive flooding days, calculate vertical infiltration amount;Overflow drainage, lateral discharge, vertical infiltration are updated into water balance equation field water depth;According to the topological network of confluence of field spatial position and elevation, consider the peak-shaving superposition of confluence time delay, obtain sub-basin export total runoff.It realizes the whole process fine simulation of field ridge water storage, field-ditch lateral interaction, plow pan nonlinear infiltration and distributed confluence, significantly improves the precision of rice irrigation area hydrological process simulation, provides scientific basis for irrigation water resources management.

The invention discloses a water source conservation function evaluation method suitable for a high and cold frozen soil region, and belongs to the field of water source conservation function evaluation.The method comprises the steps that a monitoring network is laid in a drainage basin of the high and cold frozen soil region, and monitoring data are collected; the monitoring data comprises meteorological data, frozen soil data, hydrological data and vegetation and underlying surface data; improving the VIC frozen soil hydrological model by using the monitoring data; determining constraint conditions of the improved VIC permafrost hydrological model based on a permafrost characteristic water source conservation mechanism, and simulating each component of water balance of the high and cold permafrost region drainage basin by using the improved VIC permafrost hydrological model; and based on each component of water balance of the drainage basin of the high and cold frozen soil region, calculating the water conservation amount by using a water balance equation, and obtaining the water conservation capability according to the water conservation amount to complete water conservation function evaluation. According to the invention, key processes such as frozen soil thermal conductivity overestimation abnormity and accumulated snow sublimation effect supplementation are eliminated, and the simulation precision of the hydrothermal transmission process is improved.

The invention provides a large river-lake interval confluence water quantity determination method, a medium, equipment and a product, and relates to the technical field of data fusion and hydrological information. The method comprises the following steps: acquiring a remote sensing image, terrain and hydrological observation data of a target area; establishing a water balance equation, and expressing the interval confluence water quantity as a function of the variable quantity of the water storage quantity of the river and the lake, the inlet flow, the outlet flow and the total flow of main branches (controlled by a hydrological station); performing spatial discretization on the calculation unit and generating an elevation grid and an initial water level grid; extracting an actual water area based on the remote sensing image; by comparing the calculated water area with the actual water area, the water level grid is iteratively adjusted until the convergence condition is met, and therefore the accurate water storage capacity is obtained; and finally, substituting into a water balance equation to calculate the interval confluence water quantity and analyze the change characteristics. According to the method, multi-source data and iterative optimization are fused, the precision and reliability of water volume calculation are improved, and the method is suitable for water resource management and hydrological analysis of large rivers and lakes.

The application provides a karst tunnel large cave automatic water discharge pressure reduction device and method under heavy rainfall conditions, which comprises a filtering mechanism, the top end of the filtering mechanism extends into the cave, the bottom end of the filtering mechanism is connected with a cylindrical mechanism, the end of the cylindrical mechanism away from the filtering mechanism is fixedly connected with the top end of a tunnel mechanism, the high end of the cylindrical mechanism is connected with the inlet of a fine drain pipe, the outlet of the fine drain pipe is connected with the tunnel mechanism, the low end of the cylindrical mechanism is connected with a coarse drain mechanism, and the other end of the coarse drain mechanism is connected with the tunnel mechanism. On the one hand, the hydrogeological environment of the tunnel is not damaged, the underground water balance is protected, the automatic grading discharge of the cave underground water is realized, the water pressure outside the tunnel structure is reduced, the tunnel structure performance is protected, and the unreasonable stress of the tunnel structure caused by excessive water pressure is avoided to prevent the structure damage. On the other hand, the integrity of the secondary lining structure of the tunnel is not damaged, and the structure performance reduction caused by local stress concentration is avoided.

The invention relates to the technical field of water resource allocation, in particular to a regional available water supply amount calculation method based on artificial intelligence. The method comprises the following steps that multi-source data in a target area range are obtained, the multi-source data comprise meteorological data, hydrological data, engineering data and remote sensing data, data cleaning is carried out, and a standard multi-source data set is obtained; extracting characteristic variables from the standard multi-source data set, wherein the characteristic variables comprise time sequence characteristics, state characteristics, external characteristics and static characteristics; constructing a water supply calculation model based on the characteristic variables and a preset water balance equation; the water supply amount calculation model performs modeling by taking a preset water amount balance equation as a constraint condition and combining an input and output relationship of the characteristic variables. According to the method, the physical rationality of the model is ensured, the advantages of artificial intelligence in the aspects of data processing and mode recognition are brought into full play, and the prediction precision and the calculation efficiency of the model are effectively improved.

The invention discloses a watershed runoff evolution trend prediction method based on multi-source data fusion, and relates to the technical field of hydrology and water resource prediction, and the method comprises the steps: obtaining historical hydrometeorological data, dividing rainfall runoff events, calculating the soil water absorption amount in unit time through water balance, and fitting wet and dry water absorption paths to construct a hysteretic loop; clustering the hysteretic loop set to extract a representative hysteretic loop family; and matching the most similar hysteretic loop during prediction, inputting the data into a reinforcement learning model to output a path advancing position, determining the corresponding soil water absorption amount, and calculating the predicted runoff volume in combination with meteorological data. By quantifying the nonlinear hysteretic characteristic of the soil water absorption behavior, the problem that the runoff prediction precision is low due to the fact that a traditional model ignores the water absorption capacity difference in the dry and wet process is solved.

This invention belongs to the field of monitoring technology and relates to an automatic monitoring system for rainfall and runoff balance in inland river basins in arid areas. The system includes a data acquisition module, a data synchronization module, a data processing module, and a visualization monitoring module. This invention constructs a comprehensive collaborative monitoring system integrating precipitation, runoff, infiltration, soil water, and evapotranspiration. The data synchronization module accurately matches multi-source monitoring data to the same timeline, achieving consistent spatiotemporal acquisition of the four core elements of water balance. The data processing module automatically calls the synchronized dataset and substitutes it into the water balance equation to calculate the water balance closure status of specific landscape types within the watershed in real time. Finally, the visualization monitoring module dynamically plots time-series curves and balance analysis charts for each element and displays them in real time on multiple terminals, forming a fully automated operation mode from data acquisition, synchronization processing, automatic calculation to visualization monitoring.

The invention discloses an irrigation water demand dynamic prediction method based on a water balance equation and a crop water production function. The method comprises the following steps: step 1, multi-source data arrangement; 2, the net irrigation water amount is calculated based on a water amount balance equation; 3, determining an evapotranspiration demand based on a crop moisture production function; step 4, determining precipitation threshold values of different drought degrees; and step 5, predicting regional irrigation water demand under different drought situations. According to the method, spatial and temporal dynamic changes of regional scale farmland irrigation water are estimated, crop evapotranspiration requirements under different yield levels are determined in combination with a crop moisture production function, and then spatial and temporal changes of irrigation water requirements under different drought degrees are predicted according to a water balance principle; compared with a traditional irrigation system, the method considers the potential influence of insufficient water on the crop yield, distinguishes the space-time difference of the irrigation water demand, and provides an effective technical support for the dynamic prediction of the agricultural irrigation water and the meeting of the agricultural drought defense requirements.

This invention is related to a gravity flow, multipurpose bidirectional nonpressurized climate smart subirrigation conduit apparatus for managing soil moisture and growing plants. The subirrigation conduit apparatus creates a suspended virtual water table at the desired buried depth, thus creating an anaerobic saturated zone and a capillary fringe. The capillary fringe is described in the art as a moisture zone that has perfect air and moisture mixture for plant growth, can also be used to irrigate with high turbidity obstruction liquids such as precipitation runoff and alternative waters such as untreated greywater. When too much water is present within the landscape, the Multipurpose bidirectional nonpressurized climate smart subirrigation conduit apparatus can be used in reverse flow to drain the landscape. Bidirectional nonpressurized flow is achieved by gravity water equalization thus cutting any need for energy consumption.

The invention belongs to the technical field of water resource attribution and climate change influence evaluation, and particularly discloses a water resource change attribution method and system fused with a physical constraint structure equation, and the method comprises the steps: building a sample matrix related to climate factors, human factors and water resource indexes; the method comprises the following steps: a measurement module maps observation data of climate factors, human factors and water resource indexes into latent variables with clear physical significance; the structure module realizes causal relationship modeling among latent variables; introducing a water balance physical constraint; and performing parameter estimation on the structure equation model based on the sample matrix to obtain a path coefficient, and further determining the attribution contribution rate of the climate factor and the human factor to the water resource change. According to the method, the attribution result can be ensured to conform to the statistical significance and meet the hydrological mechanism, physical unreasonable explanation is avoided, and a scientific basis is provided for drainage basin water resource management and climate change adaptation.

The invention discloses an underground water balance calculation simulation method based on three-dimensional geological data, and relates to the technical field of underground water calculation, and the method comprises the following steps: constructing an independent analysis space based on an aquifer three-dimensional structure model; dividing the aquifer three-dimensional structure model into a first type space and a second type space based on the independent analysis space; constructing an in-space reference point in the second type of space; acquiring a third type space and a fourth type space in the second type space based on the reference point in the space; obtaining a first proportion based on the fourth number of fourth class spaces; calculating the collectable water volume of the whole aquifer based on the number of the first type of spaces, the number of the third type of spaces, the number of the fourth type of spaces, the collectable water volume in the first type of spaces and a first proportion; the method is used for solving the problem that in an existing underground water calculation technology, due to the fact that a complex aquifer structure with a quaternary system and a cretaceous system overlapped exists, the collectable quantity of underground water cannot be accurately calculated.

This invention discloses a method and system for dynamic assessment of groundwater over-extraction areas based on water volume tracking, belonging to the field of groundwater assessment technology. The method includes: acquiring over-extraction area distribution data within a target area based on groundwater extraction volume, surface water infiltration volume, and meteorological evaporation; constructing a groundwater cycle model to determine zonal control boundaries and optimize control strategies; performing water balance analysis to generate an over-extraction risk evolution map within a time sliding window; and setting up a water flow scheduling network associated with the over-extraction risk evolution map for water resource allocation control. This invention solves the technical problems in existing technologies where the assessment of groundwater over-extraction areas lacks dynamism and the accuracy of water resource allocation is insufficient, leading to a lack of rationality and timeliness in over-extraction control. It achieves dynamic assessment and precise water resource allocation of groundwater over-extraction areas, improving the rationality and timeliness of over-extraction control.

This invention relates to the field of hydropower station safety technology, and discloses a rapid simulation and prediction method for flooding faults in underground powerhouses of hydropower stations, comprising the following steps: S1: Constructing a rapid simulation analysis model, the parameter system of which includes geometric parameters, hydraulic parameters, and disaster parameters; S2: Dividing the underground powerhouse space of the rapid simulation analysis model into multiple reservoirs and establishing a water balance equation; S3: Calculating the drainage capacity of the drainage system of the rapid simulation analysis model; S4: Establishing a leakage risk point seepage model of the rapid simulation analysis model and calculating the inflow rate; S5: Based on the mass conservation equation and momentum conservation equation, using a time-stepping algorithm to simulate the entire process from initial seepage to complete flooding, and outputting the predicted simulation results. This invention accurately simulates and predicts the inflow rate and water level elevation into the powerhouse based on the spatial structural characteristics of the underground powerhouse, thereby improving the accuracy and speed of emergency decision-making.

The application discloses a kind of coupling physical mechanism's monthly runoff prediction method and system, the method is inputed to monthly runoff prediction model with last month's hydro-meteorological data, and the runoff of current month's watershed export section is obtained;Monthly runoff prediction model includes surface runoff module, soil module, underground module and confluence module connected in turn, with elevation, previous precipitation, previous temperature, soil moisture, groundwater storage, inflow runoff and the like as forecast factor input monthly runoff prediction model, each module is with convolutional encoder as basic architecture, combined with encoder-decoder structure, the spatial correlation characteristics of elements such as precipitation-runoff are described.Further, water balance constraint is used as the penalty term of loss function, to increase the physical rule penalty term constraint except data fitting error for model, to improve the logical inference reliability of model.

The utility model discloses a soil humidity monitoring devices for monitoring water quantity balance field ecology relates to ecological environment monitoring field, including humidity sensor, display device and detection probe rod, one end of detection probe rod is provided with conical head, and the other end of detection probe rod is provided with data line, and the outside of detection probe rod is equipped with the sleeve pipe, and the outside of sleeve pipe is provided with helical blade, and one end of detection probe rod is connected with the lengthening rod in screw thread, and the other end of lengthening rod is connected with the short tube in screw thread, and the side of short tube is connected with the handle in screw thread. The utility model discloses through setting the limiting rod outside detection probe rod, and then the outside of detection probe rod can be installed sleeve pipe, and the outside of sleeve pipe is provided with helical blade, and uses short tube to fix the sleeve pipe and press tightly, and then the staff can rotate handle and short tube and drive detection probe rod to rotate, and also can drive the sleeve pipe of being equipped with helical blade to rotate, and helical blade makes detection probe rod can be more relaxed and go into the inside of soil.

This invention provides an intelligent inversion method for inflow based on multi-source error constraint fusion, belonging to the field of hydrological forecasting technology. The method includes: constructing physical constraints based on long-sequence water level observation data, measured outflow sequences, and reservoir capacity-water level curves; constructing a composite optimization function including a reservoir capacity time-varying error compensation term, inflow continuity regularization constraints, and a water level observation data assimilation module; deriving the analytical inversion solution of inflow based on the Lagrange multiplier method; and automatically optimizing key parameters such as constraint weights and smoothing coefficients using intelligent optimization methods such as grid search and cooperative search algorithms to perform adaptive high-precision inversion under different hydrological scenarios. This invention, by dynamically adjusting the error weight coefficients, directly generates physically consistent inflow sequences without relying on the prior assumptions of traditional smoothing filters, significantly improving the performance of negative value rate control, water balance, and flood peak characteristic preservation.