432 results about "Source water" patented technology

The invention belongs to the technical field of hydrology and water resource intelligent management, and discloses an inter-basin water resource system cooperative scheduling and forward-reverse bidirectional coupling dynamic decision method and system, and the method comprises the steps: S1, constructing a multi-modal water conservancy infrastructure topological relation graph, and carrying out the bidirectional conduction optimization; s2, sensing hydrological gap risk situation and analyzing multi-source water supply potential coupling based on the multi-modal water conservancy infrastructure topological relation map and optimized bidirectional conduction; s3, based on hydrological gap risk situation and multi-source water supply potential coupling, generating an elastic grading water quantity distribution strategy and a cross-engineering replacement protocol; and S4, constructing and optimizing a positive-negative two-way rehearsal decision engine based on an elastic grading water distribution strategy and a cross-engineering replacement protocol. The technical problem that a traditional one-way scheduling model is difficult to deal with complex topological relations, sudden water shortage events and cross-administrative-region collaboration is solved.

The invention discloses an urban water body pollution traceability system based on multi-source sensing data fusion, and the system comprises a data acquisition module which is used for deploying a multi-source water quality sensor to collect initial multi-source water body data, and carrying out the time-space unified alignment processing, and obtaining the time-space aligned multi-source time-space water body data; the pollution factor tracing module is used for constructing a pollution event deconstructor and a factor tracing reasoning engine based on a water network topological graph neural network on the basis of multi-source space-time water body data, and outputting pollution component vectors through pollution component decomposition driven by the pollution event deconstructor; inputting the pollution component vector into a tracing reason inference engine to carry out tracing reason space-time correlation to obtain a tracing reason pollution fusion map; and the traceability decision module is used for performing inversion through a reverse traceability algorithm based on the traceability pollution fusion map, calculating the probability that each upstream area is a pollution source, mapping the probability that each upstream area is the pollution source to a GIS platform, obtaining a pollution traceability confidence distribution map, and realizing accurate traceability of the urban water pollution source.

The invention relates to the technical field of intelligent water affairs, in particular to an intelligent water affairs management and control system based on the Internet of Things, and aims to solve the problems that in the prior art, multi-source water quality data and user behavior characteristics can be fused to construct a risk assessment model based on fuzzy logic and a Bayesian network, dynamic assessment of a complex water quality state cannot be achieved, and the risk assessment accuracy is poor. Abnormity cannot be quickly recognized through a similarity matching mechanism, and the response speed and accuracy of early warning are reduced; multi-source water quality data and user behavior characteristics are fused through the water quality intelligent early warning module, a risk assessment model based on fuzzy logic and a Bayesian network is constructed, the method has high nonlinear modeling and uncertainty processing capacity, dynamic assessment of a complex water quality state is achieved, abnormity is rapidly recognized through a similarity matching mechanism, and the risk assessment efficiency is improved. The method improves the early warning response speed and accuracy, combines the countercurrent tracking and GIS technology, accurately locates the pollution source, and enhances the emergency disposal and decision support capability.

The invention relates to the technical field of marine surveying and mapping and submarine topography modeling, and discloses a submarine topography and landform construction method based on multi-source water depth data fusion, which comprises a multi-source data acquisition module, a data preprocessing module, a feature extraction module, a fusion algorithm matching module, a three-dimensional modeling module and an uncertainty evaluation module. A historical submarine topographic map is converted into grid data, namely, submarine topography is discretized into digital representation of regular grid units, water depths of other sources are converted into the grid data, the precision of the water depths of different sources is evaluated by adopting a superposition comparison method, and an error distribution model is established to reasonably correct and fuse the water depth data of various sources. The innovation of the method lies in that topographic feature parameters including the gradient, the curvature matrix and the bionic optimization algorithm are introduced, the defect that a single algorithm is preset in a traditional method is overcome, and the precision of coral reef and fault zone complex areas is improved.

The invention discloses a multi-source water environment data processing method and system based on intelligent Internet of Things, and relates to the technical field of data processing, and the method comprises the steps: carrying out the standardization processing of obtained multi-source heterogeneous water environment monitoring data, obtaining the standardized data, carrying out the multi-scale decomposition, and obtaining low-dimensional data; a distributed storage architecture is adopted for low-dimensional data, the data are stored on a plurality of nodes in a scattered mode, a data index and metadata management mechanism is established, and data retrieval and access are conducted; cleaning, aggregating and analyzing the low-dimensional data by adopting a stream data processing method, extracting key indexes and events, setting a water quality parameter threshold value and a change rate threshold value, constructing a water quality abnormity early warning rule in combination with a decision tree method, and judging whether water quality abnormity exists or not; and constructing a water quality prediction model through a support vector machine and a random forest machine learning method, and predicting a water quality trend. According to the invention, powerful technical support is provided for water environment monitoring and management.

The invention relates to the technical field of environmental monitoring, in particular to a water body pathogenic microorganism source analysis method and system, and the method comprises the following steps: based on water body sample collection information, identifying a plurality of moisture sources of a target water body through the sampling position of the water body, calculating the contribution degree of a plurality of source water bodies to a sampling point, and generating a water body position analysis result. According to the method, the prediction accuracy of the pollution risk area is improved by identifying the multiple sources of the water body, calculating the contribution degrees of the multiple water body sources to the sampling points and combining real-time meteorological and topographic data to simulate the diffusion path of pollution, and the prediction capability of the pollution source type is improved by evaluating the microbial population distribution mode in the water body sample. Data support is provided for pollution source position identification, multiple source positions of pathogenic microorganisms are identified through comparison with microorganism samples of multiple pollution sources, a scientific basis is provided for taking effective water quality protection and disease prevention measures, and the quality and efficiency of environment management are improved.

The invention relates to the technical field of water conservancy informatization and intelligent early warning, in particular to a river network water regimen big data intelligent analysis early warning system which comprises a dynamic data fusion module, a topology sensing module, an overload propagation analysis module, an intelligent early warning decision module and an early warning execution module. Wherein the dynamic data fusion module is used for collecting multi-dimensional data of a river network area in real time; the topology sensing module is used for dynamically constructing a real-time topological relation graph of the river network connectivity; the overload propagation analysis module is used for extracting an overload coefficient of each node and outputting a risk diffusion path set; and the intelligent early warning decision module is used for generating a three-level early warning instruction by combining the positions of the engineering vulnerabilities in the real-time topological relation graph. According to the method, through fusion of the multi-source water regimen data and the dynamic topological structure, linkage of accurate identification and hierarchical response of the risk path is realized, and the intelligent early warning and rapid disposal capability of the sudden water regimen of the river network is remarkably improved.

The invention relates to the field of data processing, in particular to a data acquisition method and system based on a multi-source water affair sensor, and the method comprises the steps: calculating period relevance and trend relevance, and respectively obtaining abnormal probability predicted values based on a period rule and a trend rule, taking the period relevance and the trend relevance as weights, and carrying out weighted summation on the two abnormal probability predicted values to obtain a comprehensive abnormal probability predicted value; calculating the abnormal relevance of each kind of historical influence factor data, and obtaining the abnormal possibility of the water affair data according to the abnormal relevance; correcting the comprehensive abnormal probability predicted value according to the abnormal possibility of the water affair data to obtain a final abnormal probability predicted value; setting an acquisition frequency according to the final abnormal probability predicted value; and performing water affair data acquisition control based on the acquisition frequency. And the water affair data acquisition frequency is adaptively set, so that abnormal information can be grasped in time while data redundancy is reduced.

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.

The invention relates to the technical field of heat exchangers, and particularly discloses an efficient heat transfer device of a heat exchanger for a geothermal source heat pump, which comprises a heat exchanger shell, a water tank and a buried pipe, end covers are installed at the two ends of the heat exchanger shell, and heat exchange pipes are arranged in the heat exchanger shell. A cold source water inlet pipe and a cold source water outlet pipe are arranged on the outer wall of the heat exchanger shell; the water tank is arranged outside the heat exchanger shell; the buried pipe is buried in soil; a heat source water inlet pipe communicated with the buried pipe is arranged on the end cover at one end of the heat exchanger shell, and a heat source water outlet pipe communicated with the water tank is arranged on the outer wall of the end cover at the other end; a water conveying mechanism is further arranged outside the heat exchanger shell. A descaling mechanism is arranged in the heat exchanger shell; in the long-time working process of the heat exchange pipe, the outer wall of the heat exchange pipe is cleaned through the descaling mechanism, water scales on the outer wall of the heat exchange pipe are scraped off, and the heat exchange efficiency is improved.

The invention discloses a water conservancy knowledge base management method and device based on a large language model and a medium, and relates to the technical field of water conservancy management. The method comprises the following steps: collecting multi-source water conservancy data, and preprocessing the multi-source water conservancy data to obtain standard water conservancy data; analyzing the standard water conservancy data based on a preset target large language model, and converting the unstructured text into a structured text; integrating the structured text, the structured table and the image data to obtain a target water conservancy data knowledge base; and when a data query instruction is received, based on query information contained in the data query instruction, performing similarity matching in the target water conservancy data knowledge base according to a preset query rule to generate a water conservancy plan. By means of the method, intelligent water conservancy plan matching and automatic query are achieved, and the water conservancy knowledge base management efficiency is improved.

The invention discloses a pollution source water quality fingerprint database generation method, a fingerprint database and application thereof, and belongs to the technical field of big data analysis, and the method comprises the following steps: S1, forming a water combination basic database and each water diversion basic database; s2, establishing association between each water distribution basic database and the water combination basic database; s3, collecting combined water pollution information and separated water pollution information obtained by online monitoring, and comparing the information with the threshold values in S2; s4, reading in an intelligent learning server for learning; s5, forming a learning database V0; s6, real-time on-line obtaining of water pollution information; s7, perfecting the water-combining abnormal database C2 and each water-dividing abnormal database in the learning database V0 to form a new learning database V1; s8, continuously repeating the steps S6-S7; s9, through continuous learning and improvement, a pollution source water quality fingerprint database is finally formed; n is an integer greater than 5. According to the method and the system, the source of super-emission, super-concentration emission or super-frequency emission can be traced to which enterprises specifically refer to.

The invention relates to the technical field of sewage treatment, and discloses a chemical industry park emergency sewage treatment device abnormal discharge tracking method, which comprises the following steps: data synchronization: synchronously obtaining multi-source water quality time sequence data and hydraulic operation data of multiple monitoring points of a park pipe network; anomaly detection: establishing a time-varying adaptive baseline model based on the time sequence data, and calculating a residual error of the time-varying adaptive baseline model to detect a water quality anomaly event; response core construction: constructing a time-varying transport response core from a potential source point to a monitoring point through a dynamic model and data assimilation technology based on pipe network topology and real-time hydraulic data; and traceability inversion: inputting the residual error and the time-varying transport response kernel into an inverse problem solving model in which physical constraint and sparse prior are introduced. The abnormal emission tracking method for the emergency sewage treatment device in the chemical industry park aims at solving the problem that it is difficult to achieve accurate and reliable source tracing of abnormal emission events under the condition that the hydraulic working condition of a pipe network of the chemical industry park changes dynamically.

The invention provides a method for realizing dynamic balance of source water minerals based on ion coordinated regulation and control, and belongs to the technical field of water treatment. According to the method, multi-parameter coupling regulation and control are achieved by conducting split-flow pretreatment on source water and building a dynamic synergistic coefficient model, the source water is separated to prepare calcium-magnesium compensation liquid, the ion concentration and the water temperature are monitored in real time, and a synergistic coefficient model fusing ion activity factors and the temperature effect is built; a fuzzy PID controller is used for dynamically analyzing pH fluctuation and collaborative deviation to adjust the injection proportion of compensation liquid, and precise mineralization is achieved by combining turbulence mixing intensity optimization; a closed-loop feedback mechanism and a high-frequency liquid supplementing technology are adopted to quickly correct ion concentration deviation, and the dissolution activity of compensation liquid is differentially regulated and controlled through a reverse temperature difference strategy so as to stabilize pH. According to the method, the ion synergistic effect, dynamic algorithm control and dissolution kinetics optimization are combined, the response speed and balance precision of water quality regulation are improved, and the method is suitable for precise mineral regulation and quality optimization of high-quality drinking water.

The invention discloses an urban multi-water-source joint scheduling method based on a discrete scene set and a robustness decision, and the method comprises the steps: researching the characteristics of multiple uncertainty factors of urban multi-source water supply, and generating a multiple uncertainty scheduling scene set through a Latin hypercube sampling method; constructing a water supply city regulation and storage reservoir and external water source joint scheduling model and a water receiving unit internal optimization scheduling model; and constructing a robustness decision-making-based urban annual multi-water-source combined scheduling model. A multi-uncertainty scene set and a robustness measurement method based on an expected benefit index are utilized, the minimization of the annual water level fluctuation risk and the urban water shortage risk of a regulation and storage reservoir is taken as a scheduling target, an urban multi-water-source combined scheduling model based on a robustness decision is constructed, the rationality and the applicability of the robustness scheduling model are verified, and the urban multi-water-source combined scheduling model is established. And analyzing a robust decision scheduling result under an uncertain condition.

The invention relates to the technical field of water quality monitoring, in particular to a water quality monitoring method and system based on the Internet of Things technology. The method comprises the following steps: acquiring multi-source water quality monitoring data of a monitoring area; analyzing the multi-source water quality monitoring data, and determining whether illegal pollution discharge possibility exists or not; if yes, water pipe layout information and area information of the monitoring area are obtained; analyzing the water pipe layout information, and determining water flow path association; determining pollution dissipation path information based on the water flow path association according to the multi-source water quality monitoring data; analyzing the regional information, and determining factory distribution characteristics; and determining an illegal pollution discharge point according to the water flow path association, the plant area distribution characteristics and the dissipation path information. The spatial consistency of the final positioning result and the physical pipe network layout is ensured, and the false alarm caused by the model error is eliminated.

The invention relates to the technical field of water quality prediction. The pollution risk prediction method and device based on multi-source water quality data fusion, the equipment and the medium are provided, and the method comprises the following steps: carrying out multi-source collaborative acquisition processing on hydrological data, meteorological data and real-time water quality monitoring data to generate a time-space association data set; carrying out pollution scene feature coupling analysis processing on the space-time correlation data set to generate a pollution type identification matrix and a dynamic driving parameter; collaborative activation processing of the process modules is carried out through a scheduling engine, and a target simulation module topology network is generated; performing adaptive parameter configuration processing on the topological network of the target simulation module to generate a migration and transformation parameter tensor; performing dynamic evolution processing on the migration and transformation parameter tensor to generate a risk early warning hologram spectrum; and carrying out multi-dimensional parallel rehearsal processing on prevention and control measures to generate a treatment efficiency quantitative report so as to improve the pollution characteristic analysis precision and optimize the accuracy of a prediction result.

The invention discloses a pollution source tracing method based on a three-dimensional fluorescence spectrum, and relates to the technical field of water quality monitoring, a water sample of an upstream specific pollution discharge unit is collected as a pollution source, a mixed water sample formed by mixing different pollution source water samples according to different volumes or proportions is prepared, and a pollution source database adapted to parallel factor analysis is established; according to the pollution source tracing method, a good linear model between a pollution source and a three-dimensional fluorescence spectrum characteristic value is established, a shortest path algorithm is proposed to quantitatively solve the volume or proportion of the pollution source in a monitored water sample, and the pollution source is traced to a specific pollution discharge unit. According to the invention, the sewage three-dimensional fluorescence spectrum database established by mixing upstream pollution source drainage improves the application range of parallel factor analysis, so that the three-dimensional fluorescence spectrums of sewage of different industrial systems can be subjected to effective parallel factor analysis together; compared with a parallel factor analysis-Tucker congruence coefficient method, the method has the advantage that the pollution source can be traced to a more specific level.

The invention discloses an intelligent land pollution assessment method and system based on water quality big data analysis, relates to the technical field of environment monitoring and assessment, and is used for solving the problems of uneven integration and decision delay of multi-source water quality monitoring data. The method comprises the steps of analyzing time-space characteristics and spatial relevance of pollution, calculating pollution complexity and distributing treatment tasks, evaluating feasibility of a treatment target and calculating resource balance and action priority based on a task simulation result and budget data, and finally executing or adjusting the treatment tasks according to an evaluation result. And intelligent decision and dynamic optimization of water and soil pollution treatment are realized.

The invention discloses a port sewage treatment intelligent control and water resource efficient utilization system and method, belongs to the technical field of water conservancy projects, and collects multi-source water quality, water quantity, equipment operation state, pipe network and environment data in real time by deploying an environment data sensing module in a port area. And the multi-source data fusion and analysis module cleans, analyzes and predicts the data and generates an optimization decision basis. The flow decision control module generates an intelligent control instruction based on the flow decision control module, and controls sewage treatment facilities and water resource scheduling. And the intelligent execution and feedback module executes the instruction and visually presents the instruction. Intelligentization and energy consumption optimization of port sewage treatment are effectively realized, and through linkage of dust concentration and reclaimed water dust suppression, intelligent allocation of multi-source water bodies and the like, the utilization efficiency of water resources is greatly improved, the operation cost is reduced, dependence on municipal water is reduced, and sustainable development of port water affairs is realized.

The invention discloses a method for quantifying upwelling intensity and biogeochemical process thereof based on hydrogen and oxygen isotope, which comprises the following steps: acquiring hydrological information and hydrogen and oxygen isotope value of a target sea area, and establishing a hydrogen and oxygen isotope mass balance model; based on a hydrogen and oxygen isotope mass balance model, calculating the proportion of different source water bodies in the upwelling affected zone of the target sea area, and obtaining the contribution of deep water to the upwelling affected zone; estimating the theoretical nutritive salt concentration of the upwelling affected zone based on the nutritive salt concentrations of the original surface water and the upwelling source deep water and the contribution of the deep water to the upwelling affected zone; and comparing the actually measured upwelling affected zone nutritive salt concentration with the theoretical nutritive salt concentration to obtain the contribution of the biological process of the target sea area. Based on the advantage that hydrogen and oxygen isotopes in water are tracers of water, a method for quantifying the upwelling intensity and the biogeochemical process of the upwelling intensity is developed, and a new technical method is provided for scientifically and quantitatively evaluating an upwelling ecological system.

The invention discloses an intelligent water storage irrigation system suitable for ecological restoration of an abandoned mine, and relates to the technical field of ecological restoration, and the system comprises a multi-source water quality regulation and control module which is used for providing an irrigation water source adaptive to plant growth and soil improvement requirements in different restoration subareas; the ecological perception decision module is used for monitoring ecological indexes in real time; generating an irrigation decision executed according to the global scheduling plan through cloud data fusion analysis; the geology and hydrology safety module is used for constructing a digital twinborn model of a mine area and simulating restoration scenes under different irrigation decisions; the distributed irrigation module is used for building a distributed irrigation pipe network; and an energy circulation module. According to the method, fundamental transformation from single water supply to water-soil-plant synergistic remediation is achieved, the integrity of ecological remediation is improved, the vicious circle that traditional irrigation aggravates soil hardening or pollution leaching is effectively broken through, and a stable foundation is built for survival and growth of vegetation in the severe mine environment.

The invention relates to the technical field of integrated wall-mounted laundry closestools, and discloses a distributed multi-water-source cooperative control system based on an integrated wall-mounted laundry closestool, which comprises a multi-source water quality monitoring module, a flow dynamic distribution module, a cleaning strategy generation module, a pipeline deposition correction module and a water source switching optimization module. The multi-source water quality monitoring module acquires water quality parameters in real time and constructs a multi-layer evaluation topology, the flow dynamic distribution module performs pipeline modeling and pressure optimization, and the cleaning strategy generation module combines water quality and pressure information to generate a flushing framework and sorts the flushing framework. The pipeline deposition correction module corrects the deposition rate and balances pressure parameters, and the water source switching optimization module detects path deviation and feeds back iteration. The system realizes multi-source water quality accurate monitoring, flow dynamic distribution and cleaning strategy intelligent generation, improves the utilization efficiency of water resources, ensures stable operation of the system, and solves the problems of extensive water quality monitoring, static flow distribution, lack of intelligent cleaning strategy and the like of a traditional system.

The invention provides a multi-source data fused water quality pollution monitoring method and device and a storage medium, and relates to the technical field of water quality monitoring. According to the method, through the key steps of data preprocessing, cross-modal feature fusion, pollution concentration estimation, graph neural network traceability and the like, multi-source water quality data and monitoring point space topology information are deeply integrated, and a whole-process automatic monitoring system is constructed. According to the method, end-to-end processing from data standardization to pollution emission source positioning is realized, a multi-source heterogeneous data barrier is effectively broken, the complementary value and the time-space association rule of different modal data are fully mined, the integrity, accuracy and efficiency of water quality pollution monitoring are improved, the emission source position and the pollution diffusion path can be accurately positioned, and the water quality pollution monitoring efficiency is improved. Full-link and targeted technical support is provided for water quality pollution control and treatment decision, and the problems that traditional monitoring data is low in utilization rate and insufficient in traceability accuracy are solved.

The invention provides a power station water regimen trend prediction method and system based on big data analysis, and relates to the technical field of power station water regimen prediction.The power station water regimen trend prediction method comprises the steps that firstly, multi-source water regimen associated data in a power station jurisdiction is obtained; the method comprises the following steps: generating a water regimen multi-dimensional evolution correlation graph presenting dynamic action relationships of different evolution units, then mining a key evolution path influencing a water regimen trend from the water regimen multi-dimensional evolution correlation graph, and constructing a water regimen trend dynamic deduction model containing action transfer rules based on the key evolution path; and finally, inputting the current water regimen, weather and equipment evolution unit data into the water regimen trend dynamic deduction model, executing trend deduction operation through an action transfer rule, generating a power station water regimen trend prediction sequence, and effectively improving the accuracy and reliability of power station water regimen trend prediction.

The invention relates to the field of water quality prediction, and particularly discloses a water supply pipe network water quality prediction method and system based on big data analysis. The input mixed water quality signal is decoupled into a plurality of independent component branches in one-to-one correspondence with the water sources on the characteristic level. And then, through a time-space diagram convolutional network sharing parameters, parallel and independent evolution derivation is carried out on each component flow, so that pervasive transportation and attenuation laws followed by different source water in a pipe network can be respectively captured, and the fundamental defect that a traditional single model cannot be distinguished and processed is overcome. Finally, all independently predicted future component states are subjected to self-adaptive nonlinear fusion with definite physical significance according to the accurate volume ratio of the future component states at the target point, so that a final mixed water quality prediction result with physical interpretability and high precision is generated.

The invention discloses a water source protection area anti-seepage environment-friendly cofferdam construction method which comprises the steps that a filter strip is constructed on the outer side of a cofferdam construction area, the top of the filter strip is located on the horizontal plane of a reservoir, the bottom of the filter strip sinks to the water bottom, and the two ends of the filter strip are connected with bank slopes; then steel trestles are constructed on the outer side of the cofferdam construction area and the inner side of the filter belt to serve as an operation platform and a channel during cofferdam construction; a cofferdam is constructed on the inner side of the trestle, two rows of steel sheet piles are driven into the cofferdam construction position, the head ends and the tail ends of the two rows of steel sheet piles are connected with the bank slope, water stopping treatment is conducted on the inner sides of the two rows of steel sheet piles, and a gap exists between the two rows of steel sheet piles; after construction of the two rows of steel sheet piles is completed, backfilling materials are used for backfilling gaps of the two rows of steel sheet piles, and therefore pollution to water quality of a water source is reduced on the basis that it is guaranteed that the cofferdam has the anti-seepage capacity.

The invention relates to the technical field of water purification treatment, discloses a comprehensive optimization method, device, equipment and medium for rural water supply and water purification, and aims to improve the efficiency and reliability of rural water supply and water purification. According to the method, a water source water quality prediction model and a water purification process optimization model are constructed and are respectively used for predicting future water quality conditions and optimizing a water purification treatment process; and constructing a deviation correction model for correcting an output result of the water purification process optimization model. And in combination with the real-time environmental factor data and the historical water quality data, generating initial operation parameters and water purifying agent dosage of the water purification treatment equipment so as to guide water purification treatment. Real water quality of the water source is monitored in real time and compared with a prediction result, and if the deviation exceeds a threshold value, the deviation correction model is triggered to recalculate. Water source water quality prediction, water purification process optimization and real-time deviation correction can be comprehensively considered, operation parameters of water purification treatment equipment and the adding amount of a water purifying agent are dynamically adjusted, and the water quality safety and stability of rural water supply are ensured.

The invention discloses a small and medium-sized reservoir scheduling optimization method based on a hydrological and hydrodynamic coupling model. The method comprises the steps of obtaining basic data of a reservoir basin and performing data processing; setting boundary conditions, and adopting an SCS runoff production model to carry out runoff production calculation on the reservoir basin grids; a model is built based on a two-dimensional N-S equation, and two-dimensional hydrodynamic calculation is achieved; according to actual data, different reservoir region calculation methods are adopted, and a reservoir basin hydrological and hydrodynamic coupling model is constructed; carrying out reservoir basin multi-water-source water resource configuration, and optimizing boundary inflow conditions and a water demand upper limit for a scheduling rule; and according to the coupling model, in combination with a target function, a constraint condition and a water demand upper limit of the reservoir, optimizing a scheduling rule, and obtaining an optimal scheduling parameter and scheduling scheme. The method has the advantages that a real-time and forecast-period optimal reservoir scheduling strategy can be given, and the problem that real-time or forecast optimal scheduling simulation is difficult due to the fact that hydrological data of drainage basins where small and medium-sized reservoirs are located are deficient is well solved.

The invention provides an air energy storage type water-saving ship lock and a water supply control method thereof.The air energy storage type water-saving ship lock comprises a ship lock body structure and a water-saving pool structure arranged on the side edge of the ship lock body structure, and the water-saving pool structure comprises a pool body, a compression cover, an air energy supply assembly, a transmission assembly and a water conveying assembly; when the compression cover is in an ascending state, the air energy supply assembly drives the transmission assembly to drive the compression cover to move downwards along the inner wall of the tank body, and therefore water in the tank body is driven to enter the lock chamber through the water conveying assembly and the first transverse water conveying gallery for water replenishing; water in the lock chamber enters the pool body through the first transverse water conveying gallery and the water conveying assembly. Compared with an existing water-saving ship lock, the water consumption can be greatly reduced, water diversion from an external new reservoir is not needed, new water source reservoir and water diversion system projects are greatly reduced, and the project cost is greatly saved.