8121 results about "Water source" patented technology

The invention provides an underground water pollution source tracing and evaluation method for a riverside water source in a karst area, and the method comprises the following steps: collecting and preprocessing multi-source information, and obtaining a multi-source data set; a water quality sample is collected and analyzed, the surface water-underground water interaction process and pollution characteristics are comprehensively analyzed, and a pollution source type is obtained; performing space-time analysis on the multi-source data set to obtain a pollution activity time period and a potential pollution source area; constructing a karst area hydrological model, simulating the hydrological characteristics of the karst area, constructing a pollutant migration model, and simulating the migration process of pollutants; and constructing a traceability algorithm, tracking pollutants, confirming a pollution source, carrying out risk partitioning and risk assessment, and carrying out visual display of a result. According to the invention, interaction between surface water and underground water can be effectively assessed, accurate traceability of pollutants and multi-angle accurate identification of pollution sources can be realized, and management efficiency can be optimized through reliable risk assessment prediction.

The invention relates to the technical field of data processing, and discloses a water quality and water quantity accurate simulation method and system based on an SWAT model and a storage medium. The method comprises the following steps: analyzing rainfall and evapotranspiration data through a two-parameter trend test, and generating standard hydrological data by adopting a triple configuration algorithm; dividing sub-basins by combining topographic information, and calculating a hydrological response unit; performing water balance operation and water conservation evaluation; pollutant diffusion is analyzed, and a diffusion equation is solved; running state monitoring is implemented, and an early warning system is designed; and comparing and correcting measured data, and constructing a hierarchical monitoring mechanism. According to the invention, the whole-process precise management from hydrological data acquisition, water quality evaluation to early warning monitoring is realized, and the accuracy and reliability of water quality and water quantity monitoring are remarkably improved.

The invention relates to the field of water quality pollution traceability, in particular to a water quality pollution traceability analysis method and system based on an intelligent unmanned ship. The method comprises the following steps: acquiring a multi-mode network monitoring parameter of a real-time position based on a multi-mode communication module, performing a dynamic multi-mode network intelligent switching decision, and constructing an intelligent multi-mode network switching strategy; real-time water area multi-dimensional water quality monitoring parameters of the intelligent unmanned ship are obtained according to the multi-dimensional water quality sensor, abnormal pollution parameter change detection is carried out, and abnormal change pollution parameters are marked; performing reverse water quality spatial change analysis and gradient descent iterative traceability calculation on the abnormal change pollution parameters to generate a potential pollution diffusion path; and performing intelligent traceability cruise according to the potential pollution diffusion path, and tracking and positioning the polluted water source to obtain a polluted water source point. According to the invention, efficient and accurate water quality pollution traceability is realized.

The invention relates to the technical field of soil monitoring, in particular to a farmland irrigation management and control system based on the Internet of Things, and the system comprises a soil monitoring module, a crop water demand analysis module, an irrigation strategy making module, an irrigation execution control module, a water source management module, a fertilizer distribution module, an irrigation effect evaluation module and an adaptability adjustment module. According to the method, the crop water demand is analyzed by combining the decision tree, the water consumption is accurately calculated, the irrigation strategy optimizes the time and frequency based on the linear programming and simulated annealing method, the scheme adaptation degree is improved, the irrigation link adopts an automatic control and dynamic adjustment mechanism, the environment and crop demand changes are adapted in real time, and the irrigation efficiency is improved. Water source allocation ensures efficient distribution of multiple water sources on the basis of dynamic optimization, the type and quantity of fertilizer feeding are accurately controlled according to crop requirements, the irrigation effect is subjected to self-adaptive optimization of an irrigation plan after crop data evaluation, and accurate, flexible and efficient farmland resource management is integrally achieved.

The present invention relates to the field of water affair monitoring and early warning, and provides a smart urban water affair early warning system and method integrating the Internet of Things and the Internet, for solving the problems of existing urban water affair systems. The present invention comprises a sensing layer, a communication layer, a data layer and a decision-making layer. The sensing layer constructs, on the basis of the Internet of Things technology, an integrated sky-ground water conservancy Internet of Things sensing system covering water sources, pipeline tunnels, water plants, and river collection points, to collect multi-source data. The communication layer is used for sending to the data layer a large amount of multi-source data collected by the sensing layer. The data layer constructs, on the basis of the large amount of collected multi-source data, an urban water affair hydrological database, including a foundation database, a hydrological database, an engineering database, a water quality database, a management database and a remote sensing database. The decision-making layer is used for performing analysis and decision-making on the large number of multi-source data collected by the sensing layer, performing water quality prediction on all the collection points on the basis of each type of database, and when prediction results exceed a threshold, integrating a BIM platform and a GIS platform to display an alarm.

The invention provides an underground water source water supply safety assessment method and system, and relates to the technical field of water supply safety assessment. The method comprises the steps of obtaining a permeability distribution diagram, dividing grids and analyzing direction changes, constructing an edge set to extract a closed form to generate a partition layer, setting measuring points to collect water level data, evaluating a change consistency screening path, matching a boundary to judge a crossing condition, marking a sudden change position, recording an interference path and establishing a recognition list. According to the method, by comparing the consistency of the water level direction in unit time and the response fluctuation, the path line segment with the hydraulic coherence characteristic is identified, the depicting ability of the actual underground water flowing path in the non-uniform supply environment is improved, the path trend sudden change and boundary overlapping position is analyzed, the response identification of the structure interference action area is enhanced, and the accuracy of the structure interference action area is improved. A key section with water supply interruption or supply abnormity is positioned, and the response capability of actual hydrological and geological changes and the spatial fineness of evaluation and judgment are improved.

The invention discloses an urban ecological unit scale water conservation function evolution simulation system, relates to the technical field of ecological hydrological simulation, and is technically characterized in that the system combines an InVEST model, a water balance method, a geographic detector and a Moran index to construct a multi-source data fused water conservation evaluation method. According to the system, key factors are obtained through remote sensing data and geostatistical data, a mapping model between water yield and actually measured runoff depth is established based on a regression fitting relation, and a spatial heterogeneity analysis and factor interaction detection mechanism is introduced, so that time sequence dynamic simulation and spatial pattern recognition of a water conservation function are realized. The system can be widely applied to the fields of urban water resource regulation and control, ecological space planning, hydrological safety evaluation and the like.

The invention discloses a flood inundation calculation method and device suitable for a humid mountainous area and a medium, and the method comprises the steps: S1, carrying out the sub-basin division of a target region, and setting a model calculation range; s2, on the basis of a three-water-source Xinanjiang model framework, a lumped hydrological model of each sub-basin is constructed, through hydrological similarity analysis and confluence unit line calculation of each sub-basin, hydrological model production and confluence parameters are calibrated, and the calibrated model parameters are transplanted to each sub-basin; s3, on the basis of an alternative implicit ADI algorithm, a two-dimensional hydrodynamic model is constructed, the roughness value of the model is optimized, and the roughness value is used for calibrating model parameters of the two-dimensional hydrodynamic model; and S4, coupling the three-water-source Xinanjiang model with the two-dimensional hydrodynamic model, and carrying out flooding calculation in the whole process of runoff production, confluence, evolution and overflow. According to the invention, evolution and overflow of flood in a complex terrain can be accurately simulated, and the flood inundation range, depth and water flow states at different moments can be accurately calculated.

The invention relates to the technical field of water resource scheduling, and provides an urban inland river system intelligent resource scheduling management system and method based on dynamic data collaboration, and the method comprises the following steps: S1, collecting river hydrological data, water quality indexes, urban water demands and water transfer facility state data in real time, and carrying out the time-space alignment and abnormal value filtering; s2, a hydrodynamic force-water quality coupling model of multiple water sources is established, a multi-objective optimization model is established in combination with constraint conditions of ecological base flow and an engineering upper limit, and the multiple water sources include but not limited to river water, underground water, reservoir water, reclaimed water, rainwater and desalinated seawater; and S3, carrying out global dynamic optimization on the water transfer proportion and the water transfer facility parameters by adopting a model algorithm, and minimizing the water transfer cost and the ecological influence. By quantifying the maximum flow upper limit and the ecological base flow threshold value of each water source and optimizing the water transfer proportion and facility parameters, the water resource utilization efficiency is improved, and it is guaranteed that the water transfer cost and the ecological influence are balanced in the urban river water dispatching process.

The invention discloses a multi-target water supply scheduling method and system based on big data driving, and the method comprises the steps: collecting the multi-source data of a plurality of water supply targets, and enabling the scheme to obtain more reliable data support in the scheduling planning of the water supply targets; based on multi-source data serving as input features, the scheme combines the multi-source data with a graph space-time prediction model, a season statistical model and a gradient lifting regression model to obtain water consumption predicted by the three models respectively, prediction results of the three models are integrated through error adaptive weighting, more reliable predicted water consumption requirements are obtained, and the prediction efficiency is improved. And after the linear distribution model of the water source and the water supply targets is solved, initial water supply distribution schemes in one-to-one correspondence with the multiple water supply targets are obtained, the water supply accuracy of the water supply targets can be improved, multiple costs are used as targets to be minimized, and after multi-constraint combined solving, the water supply accuracy of the water supply targets can be improved. Therefore, the scheduling cost optimization is considered under the condition that the multi-target water supply scheduling meets flexibility and reliability.

The invention provides a water quality index fusion data anomaly detection method, system and device and a medium, and relates to the technical field of water quality detection.Physical, chemical and biological parameters are obtained from a water source station in real time, then on the basis that original data are reserved, cross-parameter correlation features are constructed through multi-modal feature reconstruction, and the water quality index fusion data anomaly detection accuracy is improved. An adaptive sensitivity factor is synchronously calculated, the factor fuses the degree of deviation of parameters from a dynamic baseline and the mutation degree of a multi-parameter coupling relation, then original parameters and associated features are input into a multi-task time sequence prediction model, and the adaptive sensitivity factor guides an attention mechanism to focus abnormal signals preferentially; and synchronously predicting the future evolution trend of the indexes and the relationship change trend among the parameters, and finally realizing anomaly diagnosis through triple criteria: detecting whether original parameters exceed a safety threshold, analyzing model prediction deviation, evaluating the fracture degree of coupling characteristics, dividing pollution levels according to the results, and positioning core anomaly parameters based on attention weights.

The present invention discloses a multi-dimensional intelligent control system for fluorine removal, which specifically relates to the field of sewage fluorine removal, including a water quality fluctuation monitoring module, a normal measurement judgment module, an abnormal stage judgment module, a deep learning prediction module, and a multi-task regression module; the water quality fluctuation monitoring module is used to obtain water quality fluctuation information of a water source that needs to be defluorinated in real time, establish pre-measurement condition 1 and pre-measurement condition 2 based on the water quality fluctuation information, and determine whether there are water quality influencing factors in the current water source through pre-measurement condition 1 and pre-measurement condition 2. The present invention realizes the management of fluorine concentration control by introducing multi-dimensional water quality fluctuation information and real-time monitoring mechanism, and performs real-time prediction based on water quality parameters such as water body chromaticity, conductivity, reflectivity and ammonia nitrogen concentration in combination with deep neural network, which is conducive to identifying water quality fluctuations and performing corresponding regulation, dynamically responding to water quality changes, and improving the convenience of water source control.

The invention relates to the technical field of smart city operation, and discloses a pressure regulation and loss reduction method based on steam simulation and condensate water analysis, comprising the following steps: step S1, collecting operation parameters of a steam pipe network system; s2, converting the preprocessed operation parameters into scale space parameters; s3, establishing a condensate water source term equation, a heat source term equation and a condensate water generation model to obtain pressure, temperature and condensate water content; s4, solving the optimal pressure adjustment amount and the condensate water adjustment amount by combining the pressure and condensate water coupling matrix, and optimizing the circulation degree; and S5, correcting model parameters in the condensate water source term equation, the heat source term equation and the condensate water generation model based on a comparison result. By coupling and simulating the condensate water source item, the heat source item and the generation model, dynamic distribution of condensate water can be accurately analyzed, and the problems that in the prior art, calculation efficiency and model precision are difficult to balance, and dynamic coupling is lacked are solved.

The invention provides a lake and reservoir type water source protection area accurate division method based on multi-temporal-spatial-scale index dynamic coupling, and the method comprises the steps: constructing a risk propagation network in a water source area and a multi-scale index dynamic weight distribution model through multi-temporal-spatial-scale decomposition and feature extraction; information fusion among different spatial-temporal scale indexes is realized by using a cross-scale index association transfer calculation framework, and a spatial-temporal scale adaptive QQEM-PSR evaluation system is constructed based on a scale coupling feature space and a dynamic weight matrix. The technical problems that in a traditional method, multi-temporal-spatial-scale index coupling is difficult, risk assessment staticizing is insufficient, and protection area boundary optimization is insufficient are solved, and accurate division and dynamic optimization management of the water source protection area are achieved.

The invention discloses a garden multi-source intelligent water-saving regulation and control method and system, and belongs to the technical field of garden intelligent irrigation. The method comprises the following steps: collecting water quantity and water quality data of rainwater, reclaimed water and tap water in real time, and generating a structured data set after space-time alignment and exception processing; a parallel prediction model is adopted to fuse water quantity prediction and water quality trend analysis, and a water source available amount sequence is output; generating a dynamic scheduling instruction based on the multi-objective optimization function and the quantum decision forest model; the risk instruction is issued and executed after being simulated, verified and corrected through a digital twin engine; and finally, optimizing model parameters according to actual execution deviation feedback. According to the invention, intelligent cooperative scheduling of multiple water sources is realized, the utilization rate of non-traditional water sources is obviously improved, the dependence degree of tap water is reduced, meanwhile, the operation safety of a pipe network and the stability of water quality are ensured, and an efficient and energy-saving intelligent solution is provided for garden irrigation.

The invention discloses an intelligent water affair management method and system based on artificial intelligence, and relates to the technical field of intelligent water affair management, and the method comprises the steps: initializing a pipe network digital twinborn model, loading pre-stored pipe network GIS data, collecting pipeline pressure data, water quality parameters and user water consumption in real time, inputting a risk assessment model, calculating a real-time risk probability, and carrying out the real-time risk assessment. When the real-time risk probability exceeds an early warning threshold value, generating a high-risk early warning signal; based on the high-risk early warning signal, a differential order parameter and an integral gain parameter are calculated through a pipe state fractional order controller, a voltage stabilization control instruction is generated and executed, and meanwhile a control error signal in the voltage stabilization process is extracted; inputting the control error signal and the water source type label into the element reinforcement learning model, and dynamically optimizing the differential order parameter and the integral gain parameter to obtain a water source risk coefficient; according to the method, personalized modeling and dynamic updating of risk assessment are realized by outputting the dynamic response characteristic data.

The invention provides a method and a system for intelligently interactively controlling water production equipment. Wherein heavy metal ion concentration data is collected in real time through a multi-node sensing array, concentration difference fluctuation of adjacent monitoring points is analyzed, and a pollutant diffusion track is deduced; when the monitoring data exceeds the standard, switching of a standby water source is triggered based on a diffusion trajectory analysis result, and a reverse cleaning instruction is generated in combination with the dynamic ratio of the concentration gradient change rate to the diffusion speed; dynamically correcting the concentration deviation by utilizing fluid mechanics parameters in a high-pressure impact process in cooperation with multi-dimensional sensor data, and generating environmental response type pollution grade parameters; finally, a pollutant migration path in the three-dimensional diffusion model is matched according to the pollution level, a decision signal containing emergency water source coordinates and the cleaning priority is output, and full-process closed-loop intelligent control from pollution monitoring to emergency decision is achieved. According to the technical scheme provided by the invention, the response speed and the disposal accuracy of the water quality sudden pollution event are improved.

Prediction of water quality parameters via monitoring, reporting, and verification sensor-geospatial fusion networks may be provided by a system comprising a plurality of separate water fixtures, wherein each of the plurality of separate water fixtures includes: an optical sensor, and a data transmission system configured to transmit sensor data from each of the plurality of separate water fixtures; and a contamination detection system configured to: receive sensor data from each of the plurality of separate water fixtures and remote sensing data; calculate changepoints within the sensor data; split the data into intervals at the changepoints; classify the intervals using a machine learning model; and identify a predicted contamination of a water source based on the classified intervals using the sensor data from a subset of the plurality of separate water fixtures and the remote sensing data to yield a near-time estimation of water quality parameters.

The invention discloses a pipe burst analysis method and system for a multi-water-source complex water supply pipe network, and the method comprises the steps: building a pipe network diagram based on a pipe network physical structure, and building an undirected adjacency list, a forward adjacency list and a reverse adjacency list for each pipe point; valve distribution at the two ends of the pipe explosion point is determined, and if the two ends are both valves, an optimal valve closing scheme and an affected pipe point and pipeline set are directly obtained; if not all of the two ends of the pipe explosion point are valves, a breadth-first search algorithm is used for starting from the non-valve end of the pipe explosion point, and an initial valve closing result and an affected area are determined; calculating the water inlet quantity of an unaccessed pipe point through a reverse adjacency list, starting from a downstream valve in the initial valve closing result, and based on the forward adjacency list, applying a breadth-first search algorithm, and updating the valve closing result and an affected area; and combining the initial valve closing result with the updated valve closing result to obtain a final valve closing result and an affected pipe point set. According to the invention, no matter how many water sources exist in the pipe network, all pipe network elements can be considered.

The utility model provides a detergent putting device and clothes processing equipment. The detergent feeding device comprises a detergent supply assembly, a liquid outlet water path, a first water path and a second water path. The detergent supply assembly is provided with a first water outlet for discharging a detergent mixed solution; the first water path and the second water path are used for conveying fluid, the first water path communicates with a water source, the first water outlet and the water inlet end of the liquid outlet water path, and fluid in the first water path is detergent mixed solution; the second waterway is communicated with the water source and the water inlet end of the liquid outlet waterway, and at least part of the second waterway is arranged in the detergent supply assembly. The detergent putting device provided by the utility model can promote dissolution of the detergent, is compact in structure and small in occupied space, and can be conveniently arranged in the clothes treatment equipment.

The invention discloses a multi-water-source joint scheduling method and system, and relates to the technical field of water resource scheduling, and the method comprises the steps: setting a flood control water level target, and calculating the real-time water level data of each reservoir and the water level deviation value of the flood control water level target; predicting the water discharge amount of each reservoir by using a reinforcement learning algorithm, and adjusting the predicted water discharge amount based on the real-time water level change trend; a cooperative control mechanism between the reservoirs is constructed, gate flow parameters of all the reservoirs are calculated through a time sequence algorithm, and a reservoir gate control model is constructed based on the gate flow parameters; generating a gate control instruction in combination with the reservoir gate control model; and inputting the generated gate control instruction into a gate controller, and in combination with a preset scheduling rule, executing water source scheduling between reservoirs. The reinforcement learning algorithm is used for predicting the water discharge amount, dynamic adjustment is conducted according to the real-time water level change trend, unnecessary water resource waste is avoided, and the risk of isolated operation is reduced.

The invention provides a water source protected area pollution analysis method and system based on software model simulation, and the method comprises the steps: firstly obtaining a pollution source data set and a geographic feature data set of a target water source protected area, then calling a software model to carry out the dynamic pollution diffusion simulation processing of the pollution source data set, and obtaining a pollution diffusion feature set; and then carrying out spatial influence analysis on the pollution diffusion feature set based on the geographic feature data set, and generating a pollution influence analysis result containing a pollution migration path, an influence region boundary and a time distribution interval. And then determining a pollution protection priority set according to the result, generating a differentiated protection strategy set in combination with a preset emergency response rule, and finally feeding back the differentiated protection strategy set to the water source protection management system to trigger pollution protection operation, so that accurate and efficient pollution protection of the water source protection area can be realized.

The invention relates to the field of water source detection, in particular to a water source region key risk object sample intelligent detection method and system. Judging whether the sample detection data of the water source meets abnormal conditions or not; when the water source meets the abnormal condition, analyzing the sample detection data, identifying a target risk parameter and a sample position according to the sample detection data, generating risk data based on the target risk parameter and the sample position, and sending the risk data to the management end; when the water source does not meet the abnormal condition, extracting target features of the sample detection data; predicting the water quality change trend of the water source according to the target characteristics; judging whether the water quality meets an early warning condition or not according to a prediction result; and when the water quality meets an early warning condition, generating a water quality treatment strategy and early warning information based on a prediction result, and sending the strategies and information to a management end. Through multi-dimensional risk assessment, errors caused by limitation of the sensor are reduced.

The invention relates to a device and a method for simulating influence of underground water seepage on an existing tunnel and a freezing wall, the device comprises a test box body, a tunnel model, a seepage system, a data acquisition monitoring system, a saline water circulation cooling system and a saline water circulation heating system, the test box body is formed by splicing three box bodies with different structures; a formed space area is used for laying a test soil body and a broken stone hardcore; the tunnel model is arranged in the hollow area in the test box body; the seepage system is used for providing an underground water source for simulating seepage; the data acquisition monitoring system is used for monitoring and recording the soil pressure and displacement of the soil body around the tunnel model and the temperature change of the soil body near the freezing pipe; the saline water circulating cooling system is used for providing cooling capacity required by soil body freezing; and the saline water circulation heating system is used for providing heat required for pulling out the freezing pipe. The device can be used for simulating the influence of groundwater seepage on soil deformation and soil pressure around the existing tunnel, adjusting the seepage direction of groundwater and restoring more real groundwater seepage movement.

The invention provides a reservoir source raw water quality abnormity simulation early warning and auxiliary decision-making method and system, and relates to the technical field of water quality monitoring, and the method specifically comprises the following steps: obtaining key water quality parameters, calculating a turbidity index according to a turbidity value, and calculating an environmental influence index and a nutrition state index; and constructing a comprehensive evaluation model according to the turbidity index, the environmental influence index and the nutrition and health index, generating a water quality abnormal risk index, comparing the water quality abnormal risk index with a risk evaluation threshold value, and making a decision suggestion according to a comparison result. Through comprehensive analysis of the turbidity index, the nutrition state index and the environmental influence index, the water quality abnormity risk is accurately evaluated, and scientific decision suggestions are provided. According to the method, the water quality monitoring efficiency is improved, and countermeasures can be taken quickly when the water quality is reduced, so that the safety of a water source is effectively guaranteed.

The invention discloses a multi-target partition optimization method and system for a multi-water-source large water supply pipe network. The method comprises the steps of setting optimization basic parameters, identifying a main pipe, constructing a partition scheme, constructing a multi-target function, constructing partition constraint conditions and optimizing a model solving method. According to the multi-target water supply pipe network zoning method, pressure and metering management can be carried out conveniently, and meanwhile transformation economy is considered. The zoning method takes reduction of pipe network management difficulty as a core, pipe network operation transformation economy, zoning internal pressure uniformity and pipe network water quality safety are taken into consideration, a large water supply pipe network transmission and distribution separation pattern is constructed to clarify a pipeline transmission and distribution function, a candidate zoning scheme set is formed in combination with a spatial clustering algorithm, and a large water supply pipe network is obtained. And finally, comparing all optimization targets in the candidate schemes, and carrying out iterative updating by adopting a non-dominated sorting genetic algorithm to obtain a Pareto leading edge of the zoning scheme, so as to realize refined leakage control of the large-scale water supply pipe network.

The utility model discloses a mandarin fish domestication feeding device which comprises a feeding pipeline and a bait temporary storage tank arranged at the upper end of the feeding pipeline, a feeding hopper is arranged at the upper end of the bait temporary storage tank, and the feeding pipeline comprises a vertical pipe with the upper end in butt joint with the bait temporary storage tank and a horizontal discharging pipe in butt joint with the bottom of the vertical pipe. One end of the horizontal discharge pipe is connected with a high-pressure water source or air source; the vertical pipe is of a multi-section telescopic rod structure. A cathode ring piece and an anode ring piece are arranged at the two ends of the vertical pipe, and the cathode ring piece and the anode ring piece are connected with a pulse generator used for outputting pulse signals and a pulse power amplifier used for controlling output voltage through wires. The fish feeding device can achieve feeding at different depths, can feed live fish, dead fish and feed according to different proportions, is simple and convenient to operate, greatly reduces the workload of manual feeding, and can be widely applied to the field of bait feeding.

The invention discloses a method for evaluating the influence of reservoir-water transfer project combined regulation on downstream ecological flow. The method comprises the following steps: step 1, collecting data of a research area; 2, constructing a water transfer project water source area natural water circulation model WEP-NHA; step 3, constructing a natural-social binary water circulation coupling model WEP-HA; 4, simulating the runoff of the water source area by using a WEP-HA model; 5, the system analyzes the change degree of the key control section water quantity and the ecological flow guarantee rate of the water source area under the condition that the reservoir and the water transfer project are overlapped. According to the method, system simulation of disturbance response of a complex system in a water source area can be achieved, the comprehensive influence of a complex water conservancy project system on water resources and the ecological environment is effectively revealed, high adaptability and predictability are achieved, the problem of regulation and storage effect simulation of a reservoir without data or with little data is effectively solved, and the method is suitable for popularization and application. And decision support is provided for scientifically formulating the water transfer scale and guaranteeing the ecological flow.

The invention discloses a water level monitoring system based on flood discharge gate control, and relates to the technical field of flood discharge gate control, and the water level monitoring system comprises an upstream water level monitoring module, a downstream water level monitoring module, a gate discharge monitoring module, an early warning terminal and a database. Analyzing a water level future coefficient corresponding to the upstream end of the reservoir, judging whether the reservoir needs to open a gate for flood discharge or not, and analyzing to obtain a gate opening width corresponding to flood discharge of the reservoir, and analyzing to obtain a gate opening width corresponding to development of the downstream end of the reservoir when no flood occurs at the upstream end of the reservoir; meanwhile, the state of the reservoir gate during flood discharge is known, and whether adjustment is conducted or not is analyzed, so that safe reservoir flood discharge is achieved, ecological safety is guaranteed, efficient and accurate flood discharge is achieved, it is further guaranteed that surrounding development obtains effective water source support, and reasonable allocation of water resources and efficient utilization of the resources are achieved.

The invention discloses a circulating water waste heat recovery and air cooling collaborative optimization method which is used for solving the problems that an existing air cooling system, an existing waste heat recovery system and an existing water treatment system normally operate independently and lack a unified coordination mechanism, when environment parameters or operation working conditions change, all the systems cannot respond collaboratively, and the overall energy efficiency is difficult to achieve. The method comprises the following steps: generating a system state data set according to acquired environment parameters, unit operation parameters, heat supply network parameters and whole-plant multi-water-source water quality parameters; according to the system state data set, a nozzle array operation strategy is determined through a preset total spraying amount calculation model; according to the unit operation parameters and the heat supply network parameters, waste heat recovery power is determined; determining a water source distribution strategy according to the multi-water-source water quality parameters; according to the nozzle array operation strategy, the waste heat recovery power and the water source distribution strategy, a waste heat recovery-air cooling collaborative optimization strategy is generated; and a cooperative control instruction set is generated according to the waste heat recovery-air cooling cooperative optimization strategy.