32 results about "Peak water" patented technology

The invention discloses a valley-type tailing pond flood runoff prediction method based on underlying surface parameter dynamic correction, which comprises the following steps: S1, acquiring valley-type tailing pond multi-source data for preprocessing, and constructing a basic database; s2, underlying surface parameters of the valley-type tailings pond are obtained, and the initial value range of each parameter is determined; s3, establishing an underlying surface parameter dynamic correction model, setting differentiated production and confluence parameters for different areas, and performing dynamic correction; s4, constructing a coupled hydrological-hydrodynamic model, simulating a runoff forming process and time-varying characteristics, outputting predicted values of runoff flow, flood peak time and flood peak water level, and comparing the predicted values with actual measured values of a historical flood area of a satellite remote sensing image for verification and calibration; and S5, inputting the real-time data into the hydrological-hydrodynamic model, and predicting the submerging range, submerging time and submerging degree of the flood runoff based on a geographic space analysis method. According to the method, the timeliness and the accuracy of runoff prediction of small watershed areas without runoff data such as valley type tailings ponds are improved.

The invention discloses a knowledge graph-driven line storage space joint optimization scheduling model construction method. The method comprises the following steps: determining an optimal scheduling target and an overall target function of row storage space joint flood control scheduling, and setting constraint conditions; under a knowledge graph theoretical framework, constructing a response relationship between single-class line storage space scheduling and a river flood discharge state; selecting an excess peak water level exceeding a river embankment control water level as a coordination variable, decomposing the overall objective function into system association constraint equations of a river embankment, a reservoir, a flood storage and detention area and a flood drainage pump station, and reducing a multi-class line storage space joint scheduling problem into a problem of optimization scheduling of each single-class line storage space scheduling; and respectively solving by adopting an improved particle swarm algorithm to obtain an optimal scheduling process of each single-class line storage space. The method not only solves the problem that global optimum is difficult to ensure by directly applying a traditional optimization algorithm due to many row storage space optimization targets and a competitive relationship, but also reduces the calculation time of the model.

The invention discloses a water hammer eliminating device and method based on cloud network intelligent interconnection, and belongs to the technical field of fluid conveying system safety protection. Aiming at the problems of response lag, node isolation, lack of predictive ability and poor fault tolerance of a traditional water hammer elimination device, the invention provides an intelligent protection scheme fusing cloud edge collaboration and physical data hybrid modeling. The device comprises a distributed data acquisition module, a water hammer elimination execution module, an intelligent control module and a cloud platform, real-time fluid parameters are collected, pipe network topological information is combined, the action time sequence is calculated based on the pressure wave propagation speed and the node distance, and pre-action is started before pressure waves arrive; a physical simulation model and an LSTM data driving model are fused to predict the water hammer risk, the safety redundancy time and the execution strategy are dynamically adjusted, and local autonomy and fault tolerance under communication interruption are supported. Millisecond-level pre-action and multi-node cooperative pressure relief are achieved, the water hammer peak pressure is remarkably reduced, and the safety and the intelligent operation and maintenance level of a complex pipe network are improved.

The present disclosure relates to the technical field of air energy water supply auxiliary, and one embodiment of the present disclosure provides an air energy water supply auxiliary device, which comprises a shell and a water tank, the water tank is installed inside the shell, a water supply pump is installed at the bottom of the water tank, the output end of the water supply pump is located outside the shell, a circulating constant temperature assembly is arranged on the water tank, a backflow pipe is installed on the side surface of the shell, a filtering assembly is arranged between the backflow pipe and the water tank, a circulating water pump is arranged on one side of the water tank, the suction end of the circulating water pump is communicated with the inside of the water tank, a pair of rectangular pipes are arranged on the side surface of the water tank, and the rectangular pipe located at the bottom is communicated with the output end of the circulating water pump. Through the above technical scheme, the technical problem that in the prior art, during the peak water consumption period, the cold water supplement amount suddenly increases, if the heating rate cannot be matched in time, the water temperature will suddenly drop; and during the low water consumption period, the water body stays in the pipeline for too long, and the temperature imbalance is easy to occur due to heat dissipation, affecting the user's use comfort.

The present disclosure relates to a secondary water supply pump damage early warning method, system, device and medium, the method comprises the following steps: obtaining water consumption and peak water period data in a future period of time; according to the water consumption and peak water period data in the future period of time, the predicted running data of the secondary water supply pump is obtained under the condition of meeting the water demand, the running data includes start-stop times, continuous working time; according to the monitored historical water pump running data and the predicted running data, the expected service life of the secondary water supply pump is calculated. The present disclosure can obtain the predicted running condition of the secondary water pump motor according to the predicted water consumption data and the peak water period data, estimate the motor service life according to the predicted motor running condition, which can change according to the future actual use of the motor, thus improving the prediction accuracy of the motor service life.

The invention discloses a multi-dimensional water supply dynamic scheduling decision-making system based on digital twinning. The system comprises a multi-source data fusion module, a digital twinning body construction module, a water consumption prediction module, an optimization scheduling module, a water supply path optimization module and a feedback module. The multi-source data fusion module is used for collecting physical sensing data flow and external data flow of the water supply pipe network, performing fusion processing on the physical sensing data flow and the external data flow and static data, and constructing a water demand feature library; the digital twin building module can build a three-dimensional geometric model based on static data; the water consumption prediction module can calculate a final water consumption demand prediction value based on a pre-trained hybrid prediction model. According to the method, the water demand feature library is constructed, the hybrid prediction model is adopted, and multi-dimensional external data streams such as historical water consumption, weather forecast and public calendar are fused, so that high-precision and multi-scale prediction can be carried out, and peak water shortage and valley energy waste are avoided.

Based on the reclaimed water low-source high-peak water supply technology under the AI digital condition, the system breaks through the limitation of a centralized water supply mode of a traditional reclaimed water system by surrounding five core functions of multi-water-source collaborative water taking, intelligent pipe network scheduling, distributed water storage adjustment, nearby multi-water-quality water supply and automatic control system linkage; the modular and distributed design concept is innovatively introduced, and the AI algorithm and the Internet of Things sensing technology are combined, so that intelligent linkage and on-demand adjustment of the whole process from water taking, processing, conveying, water storage to water supply are achieved.

The invention discloses a comprehensive energy complementation energy-saving operation method, device and system, and the method comprises the steps: determining a target hot water use amount according to a dry-bulb temperature and a wet-bulb temperature predicted in the whole day, and the occupancy rate of a room; according to the target hot water use amount, the water use peak period and the water use non-peak period, the hot water use amount needed to be used hour by hour in the Mingming day is determined; in the first time period, the first operation duration of the heat pump is determined with the minimum total cost according to the hot water using amount required to be used hourly in the whole day, the water using duration in each time period and the heat recycled by the air cooling unit; and in the second time period, the second operation time length of the heat pump is determined by minimizing the total cost according to the hot water consumption required to be used hour by hour in the whole day, the water consumption time length in each time period, the heat recovered by the air cooling unit and the heat corresponding to the solar energy. By adopting the technical scheme, the maximum economic benefit of multi-energy complementary operation can be realized.

This application discloses a deep learning method and system for predicting urban water supply based on variable weights. The method includes: acquiring historical data from urban water plants and preprocessing the data to obtain preprocessed historical data; calculating time-based sample weights based on the preprocessed historical data to obtain sample weight values ​​for the historical data; constructing a variable-weighted long short-term memory network model by introducing the sample weight values ​​of the historical data based on a long short-term memory neural network; and predicting the water supply based on the preprocessed historical data using the variable-weighted long short-term memory network model to obtain the predicted urban water supply. The embodiments of this application can improve the prediction accuracy of water demand during peak periods, thereby ensuring that the accuracy of peak water demand prediction meets actual scheduling needs. This application can be widely applied in the field of urban water supply and drainage prediction technology.

The invention discloses an intelligent water conservancy monitoring method for sudden water rising of a river in a flood season, and relates to the technical field of water conservancy projects. Analyzing to obtain a floating deviation value of a normal water level; taking a river water part above the reference surface and located in the target monitoring area as a feature part; analyzing to obtain a moving speed and a shape vector of the feature part; establishing a water rising pre-estimation model, and estimating to obtain the peak water level and the peak speed of the target branch; the confluence water level of the target branch in the target branch set after confluence in the target river is obtained through estimation, and the critical water level of rising water of the target river is obtained through analysis. By classifying the target branch according to the water rising relevance, forming the floating deviation value and estimating the peak water level and the peak speed of the target branch, the confluence water level after confluence in the target river can be predicted according to the obtained parameters, and therefore the scale of the water rising situation which does not occur yet can be predicted.

The invention belongs to the technical field of centralized water supply treatment, and discloses a hospital central pure water centralized dual water supply equipment process and system, which comprises a first water pump, and the output end of the first water pump is communicated with first reverse osmosis equipment through a main body pipeline; and the output end of the first reverse osmosis equipment is respectively communicated with a plurality of specific water tanks and a clinical laboratory water tank through a main body pipeline. A fourth electric three-way valve, an emergency water tank, a third water pump and the like are arranged, and the fourth electric three-way valve is regularly adjusted and the third water pump is started through a second controller before a water use peak period; a third water pump injects pure water stored in a plurality of specific water tanks and a clinical laboratory water tank into an emergency water tank, at the moment, a liquid level meter detects that the storage water level drops, then a first water pump is started to pump raw water and injects the raw water into first reverse osmosis equipment, and the first water pump and the first reverse osmosis equipment are activated in advance; and the water quality of the pure water produced in the water using peak period is not influenced by the operation time.

The invention discloses a double-tank water softener and a control method thereof, and belongs to the technical field of water softening treatment.The double-tank water softener can flexibly adapt to different water use requirements, specifically, the double-tank water softener automatically enters a series connection mode during high-hardness water inflow, and the effluent quality is ensured through two-stage treatment; when large-flow water supply is needed, the parallel connection mode is automatically switched, so that the instantaneous peak water demand is met; under the normal condition, the system operates in a one-use and one-standby mode, so that alternate work of producing water by one resin tank and standby by the other resin tank is realized, and continuous soft water supply is guaranteed. Therefore, the defects that a traditional water softener is fixed in working mode and cannot automatically adapt to water quality and flow change are effectively overcome, and the continuous water supply quality can be improved while high-hardness water inlet and large-flow water supply are both considered.

The application discloses a valley type tailing pond flood runoff prediction method based on dynamic correction of underlying surface parameters, comprising the following steps: S1, obtaining multi-source data of the valley type tailing pond for pretreatment, and constructing a basic database; S2, obtaining underlying surface parameters of the valley type tailing pond, and determining initial value ranges of the parameters; S3, establishing a dynamic correction model of the underlying surface parameters, setting differentiated runoff and confluence parameters for different regions, and performing dynamic correction; S4, constructing a coupled hydrology-hydrodynamic model, simulating a runoff formation process and time-varying characteristics, and outputting prediction values of runoff flow, flood peak time and flood peak water level, and verifying and calibrating the prediction values by comparing measured values of historical flood inundation areas of satellite remote sensing images; and S5, inputting real-time data into the hydrology-hydrodynamic model, and predicting a flood runoff inundation range, inundation time and inundation degree based on a geographic spatial analysis method. The application realizes the improvement of timeliness and accuracy of runoff prediction in small watershed regions of the valley type tailing pond and the like without runoff data.

The invention discloses a water supply method and system for terminal processing and storage-tank-free distribution of non-distillation water for injection and a readable storage medium. The method comprises the following steps: terminal processing; sequentially carrying out first ultraviolet treatment and second ultraviolet treatment on the reverse osmosis produced water, and then carrying out continuous electrodeionization treatment; wherein the first ultraviolet treatment is carried out after multiple times of cyclic irradiation and then the second ultraviolet treatment is carried out; performing distribution; and on the basis of the real-time requirements of the water consumption points, the qualified injection water is distributed to the water consumption points without storage tanks by regulating and controlling the water supply flow. The problems of insufficient water supply during peak water consumption, water quality fluctuation, microorganism breeding risk, low terminal processing efficiency, equipment reliability, energy consumption and the like in the traditional production and distribution process of the non-distillation injection water are solved; the equipment corrosion risk can be reduced, microorganism breeding is inhibited, continuous high purity and safety of water quality are ensured, energy consumption is reduced, and water supply stability is improved.

The invention relates to a dual water supply method and system for direct drinking water, and relates to the technical field of water treatment.The dual water supply method comprises the steps that water consumption behavior information and regional water quality parameters of a preset water consumption region are collected; obtaining regional water consumption time periods and water quality standard parameters according to the water consumption behavior information; a peak water consumption period is obtained based on the regional water consumption period, and the current time is collected; if the current time is consistent with the peak water consumption period, combining the regional water quality parameters with the water quality standard parameters to generate water quality treatment parameters; based on the water quality treatment parameters, water quality treatment is conducted on water used in the water using area, and area water supply is conducted. The device has the effect of improving the water quality in the peak period.

The present invention belongs to the field of green building water supply and drainage, and proposes a green high-rise building water supply and drainage network and its water-saving and energy-saving operation method, including a water supply network, a drainage network, a secondary pump room, and a roof drainage system. The water supply network includes a main pipe, a riser, and a branch pipe. The roof drainage system includes a water hopper, an electric control valve, a rainwater direct drainage downpipe, a rainwater treatment downpipe, a downspout, a membrane filtration treatment core, an inclined flow pipe, a rainwater main pipe, and a valve. The end of the rainwater main pipe is provided with multiple reserve water tanks and U-shaped water pipes. The reserve water tanks are arranged on different floors, and the lowest U-shaped water pipe is connected to the rainwater direct drainage downpipe. The present invention fully utilizes the potential energy of rainwater to process, recycle, and store rainwater during the rainy season, saving water and energy. At the same time, the water supply network can also provide a portion of clean water to the rainwater main pipe and reserve water tank for storage during peak water consumption to supply property use. The design is reasonable and conforms to the concept of green environmental protection.

The invention discloses a photovoltaic array capacity optimization method and device for a solar lifting irrigation system, relates to the field of new energy, and is used for minimizing photovoltaic array installed capacity design and energy storage distribution reduction. The method comprises the following steps: acquiring basic parameters of a solar lift irrigation system, and correcting peak water power of the system based on the basic parameters to obtain basic photovoltaic array installed capacity; under the condition that the daily water supply constraint condition is met, the minimum feasible photovoltaic array installed capacity and the corresponding energy storage configuration are calculated through a binary search method based on the basic photovoltaic array installed capacity with the purpose of minimizing the photovoltaic array installed capacity and the energy storage capacity. The method is simple in process, high in pertinence, robust in optimization result, easy to deploy and high in expansibility.

The embodiment of the invention provides a method and a device for describing the change of shale permeability, and solves the problem of how to simulate the influence of a lifting process on the shale permeability. Comprising the following steps: acquiring the maximum buried depth; loading the shale sample to an overlying strata stress condition corresponding to the maximum buried depth, and then carrying out pre-compaction to obtain a first permeability corresponding to the depth before lifting; carrying out a still water unloading test to obtain a second group of permeability corresponding to different overlying strata stress conditions, and simulating the evolution law of the permeability of the shale in the still water unloading lifting process; acquiring peak value horizontal extrusion stress, and carrying out an unloading test on the basis of the peak value horizontal extrusion stress to obtain equivalent extrusion breaking strength; a third group of permeability is obtained in the unloading test process, and the permeability evolution law in the lifting process after the shale stratum is subjected to horizontal extrusion stress is simulated; and simulating the permeability change in the shale formation lifting process by utilizing the first permeability, the second group of permeability and the third group of permeability in combination with the equivalent extrusion failure strength.

This invention belongs to the field of intelligent control technology for water supply networks, specifically disclosing an intelligent energy-saving system and method based on an active decision-making supply-demand balance model. The system includes: a pressure data processing module for cleaning historical pressure data and extracting the mean and variance characteristics of pressure loss; a pressure loss prediction module that uses a neural network model to predict the future mean and variance of pressure loss and identify peak water usage periods accordingly; and an outlet pressure game decision module that establishes a dynamic game model between the pump station and users, where the pump station aims to minimize outlet pressure, and user complaints are triggered by a probability distribution of end-point pressure. The system calculates the optimal outlet pressure value that maximizes energy saving while ensuring user satisfaction by solving the game equilibrium. This invention enables refined and intelligent control of water supply pressure, achieving significant energy savings while ensuring water supply stability during peak periods.

This invention provides a multi-tank peak-shaving and water storage system and method, relating to the field of water tank storage technology. The system includes: collecting water tank data and real-time pipeline flow rate, and processing this data to obtain the peak water usage period, real-time water age, and predicted water consumption for future periods for each water tank; processing the real-time pipeline flow rate under each storage area, the predicted water consumption of each water tank, the peak water usage period, the real-time liquid level, and the real-time water age to obtain the storage high liquid level for each water tank during peak water usage periods, the off-peak high liquid level during off-peak water usage periods, and the valve-opening water intake period; controlling the corresponding water tank to fill to the storage high liquid level when the real-time liquid level reaches a preset minimum liquid level during the valve-opening water intake period or during peak water usage periods, and controlling the corresponding water tank to fill to the off-peak high liquid level when the real-time liquid level does not reach the preset minimum liquid level during the valve-opening water intake period or during off-peak water usage periods. The beneficial effect is to prevent artificially created peak periods caused by scheduling based solely on the data characteristics of a single water tank.

The invention provides a flood process adaptive identification method and system, and the method comprises the steps: carrying out the preprocessing of water level data, obtaining a water level time sequence, and carrying out the adaptive box separation of the water level time sequence, and obtaining a water level grade sequence; performing frequency statistical analysis on the water level grade sequence to obtain a conventional water level grade; traversing the water level time sequence to obtain a flood peak point, constructing two dynamic sliding windows on two sides of the flood peak point, sliding the two dynamic sliding windows relatively away from each other, and obtaining a flood start / end point by combining a conventional water level grade and monotonicity of a water level change trend in the dynamic sliding windows; and recording a time sequence from the flood starting point to the flood ending point with the water level value corresponding to the flood peak point higher than a peak water level threshold value as a single flood process and removing the single flood process, iteratively processing residual data, and finally integrating all single flood processes as a flood process data set and outputting the flood process data set. The invention aims to realize an automatic, efficient, accurate and standardized flood identification process.

The invention provides an ecological scheduling water demand determination method for promoting spawning and breeding of drifting fishes, and relates to the technical field of ecological scheduling, and the method comprises the following steps: determining the peak generation water demand of an ecological scheduling control section, the peak generation water demand representing the water amount required by breeding of the drifting roe fishes; determining the tank storage water demand of the ecological scheduling interval water project, and determining the total water demand according to the peak generation water demand and the tank storage water demand; performing feasibility verification on the total water demand through a pre-constructed water resource configuration model, and determining and implementing a scheduling scheme based on the total water demand under the condition that a verification result meets a preset condition; wherein the water resource configuration model is used for simulating the available water amount of the ecological scheduling interval in the scheduling time period according to the long-series historical runoff data in the ecological scheduling interval. According to the invention, the method for quickly and efficiently determining the water demand of ecological scheduling for spawning and breeding of the drifting fishes is realized.

The present invention discloses a secondary water supply equipment with a water pressure compensation structure, comprising a pipeline structure connected with middle and high-rise residents, the end of the pipeline structure is connected to the household water use end, a water supply part is arranged at the upper end of the pipeline, the water supply part comprises a water collecting part, a transfer part and a water storage part, a support frame is arranged at the bottom of the water collecting part, a mounting frame is arranged at the bottom of the transfer part, the water collecting part is connected to the mounting frame, the water collecting part comprises: a water tank, which is placed above the support frame, and its bottom is connected with the pipeline structure, a water inlet end and a ventilation end are arranged at the top of the water tank, a negative pressure suppressor is installed on the upper part of the ventilation end, and the negative pressure suppressor is connected to the water tank and the transfer part. During the water supply process, the present invention can store a part of the water during the low-peak water use period, so that it is sealed inside the pressure tank to ensure sufficient pressure, and during the peak water use period, the water inside the pressure tank is squeezed out by releasing the water inside the pressure tank.

The present application belongs to the technical field of flood prevention early warning monitoring, and relates to a water conservancy hub flood prevention early warning monitoring method based on radar and satellite data. The present application identifies cloud cluster active areas by fusing satellite cloud top brightness temperature and radar echo data, generates multi-level initial early warning signals according to the change trend of the overlapping area, dynamically adjusts the collection frequency according to the early warning level, calculates the rain intensity cumulative amount and water level rising gradient, deduces the dam front water level prediction sequence and extracts the peak value, generates the updated early warning signal in combination with the predicted peak water level, the current water level and the flood control water level relationship, sets the level comparison to adjust the collection frequency, and takes the updated signal as the next round of input to realize closed-loop iteration. The present application solves the problems that the traditional method cannot lock the high-risk area in advance, the monitoring frequency is fixed, the future water level and the early warning level cannot be predicted, and the early warning level frequently switches, and realizes the proactive early warning before the flood, the dynamic optimization of monitoring resources, the advanced water level prediction and the stable update of early warning.

This invention discloses a time-segmented intelligent pressure regulation management method and system for secondary water supply, belonging to the field of water supply management technology. Specifically, it includes: dividing a day into peak and off-peak water usage periods based on historical water flow data, and determining the start and end times of each period; locking the terminal pressure control point of the water supply system through hydraulic calculations and actual water supply pressure monitoring, and collecting the water supply pressure data of this point in real time; implementing a peak pressure boosting control strategy during peak water usage periods; analyzing historical water supply pressure data of the terminal pressure control point during off-peak water usage periods to set a safe pressure threshold for off-peak periods; sending a pressure command to the control system based on this threshold to control the output pressure of the water supply equipment according to the threshold; monitoring the water supply pressure of the terminal pressure control point in real time, triggering a pre-alarm and continuously recording pressure changes when the pressure is lower than the safe pressure threshold for off-peak periods; if the pre-alarm status continues, switching to the peak-period peak pressure boosting control strategy.

The present application relates to a kind of based on design atlas gas water heater water stop temperature rise prediction method, equipment and medium, comprising: the design parameter of gas water heater is obtained, design parameter includes: heat exchanger mass, heat exchanger material specific heat capacity, stagnation water mass and the specific heat capacity of water;According to design parameter, obtain dimensionless heat capacity ratio, and obtain purging air mass flow;Dimensionless heat capacity ratio and purging air mass flow are input to pre-constructed water stop temperature rise design atlas, and water stop temperature rise design atlas is with dimensionless heat capacity ratio as horizontal axis, purging air mass flow as vertical axis, peak water temperature as the parameter space atlas of contour line;According to the position of dimensionless heat capacity ratio and purging air mass flow in water stop temperature rise design atlas, output corresponding peak water temperature prediction value.Compared with prior art, the present application has the advantages of fast prediction, precision reliable and high degree of visualization.

1. The name of this design product: Smart Peak-Shaving Pump Station. 2. Purpose of this product with design: This product with design is used for low-peak water storage and peak water replenishment. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture. 5. The bottom surface of this design product is difficult to see or cannot be seen during use, so the top view is omitted.

The invention provides a water supply thin-wall stainless steel pipe abnormal sound checking and processing method, and belongs to the technical field of building water supply and drainage, and the method comprises the following steps: installing a first pressure gauge on the inlet side of a water supply thin-wall stainless steel main pipe, and installing a second pressure gauge on the inlet side of a layered water supply thin-wall stainless steel branch pipe; acquiring monitoring values P1 and P2, and calculating a pressure reduction ratio pi; if pi is greater than 2, judging that the water supply thin-wall stainless steel main pipe is an abnormal sound pipeline; a main pressure reducing valve is installed on the abnormal sound pipeline, and branch pressure reducing valves are installed on multiple user pipelines on the same layer; the pressure reduction ratio pi is adjusted through the main pressure reducing valve and the branch pressure reducing valve; in the peak period of water consumption, the pressure reduction ratio pi is adjusted to be 2; and adjusting the pressure reduction ratio pi to be less than 2 in a water conventional period. According to the abnormal sound checking and processing method for the water supply thin-wall stainless steel pipe, by means of quantitative management of layering and household pressure data, the system pressure is dynamically adjusted according to different water use time periods, and the problem of repeated occurrence of the abnormal sound problem is solved.

The application discloses an intelligent water conservancy monitoring method for sudden flood rise of a river in a flood season, and relates to the technical field of water conservancy projects, which comprises the following steps: obtaining at least one target tributary set; analyzing a floating deviation value of a normal water level; regarding a part of river water above a reference surface and located in a target monitoring area as a characteristic part; analyzing a moving speed and a shape vector of the characteristic part; establishing a flood rise estimation model to estimate a peak water level and a peak speed of the target tributary; estimating a confluence water level of the target tributary in the target river after confluence, and analyzing a critical water level of the target river in the flood rise. Through the classification of the target tributary according to the correlation of the flood rise, the formation of the floating deviation value, and the estimation of the peak water level and the peak speed of the target tributary, the confluence water level after confluence in the target river can be predicted according to the obtained parameters, so that the scale of the flood rise that has not yet appeared can be predicted.

The application provides a flood process adaptive identification method and system, comprising: preprocessing water level data, obtaining a water level time sequence, and adaptively binning the water level time sequence to obtain a water level grade sequence; performing frequency statistical analysis on the water level grade sequence to obtain a regular water level grade; traversing the water level time sequence to obtain a flood peak point, constructing two dynamic sliding windows on both sides of the flood peak point and relatively moving away from the sliding, combining the regular water level grade and the monotonicity of the water level change trend in the dynamic sliding window to obtain a flood start point and a flood end point; recording the time sequence from the flood start point to the flood end point, in which the water level value corresponding to the flood peak point is higher than the peak water level threshold, as a single flood process and removing it, iteratively processing the remaining data, and finally integrating all single flood processes into a flood process data set for output. The application aims to realize an automatic, efficient, accurate and standardized flood identification process.