25414 results about "Water supply" patented technology

A system for AI-supported leak detection and localization in water distribution infrastructures, consisting of: a large number of distributed sensor nodes mounted along a water pipe, each sensor node comprising the following: a pressure sensor configured to measure local hydraulic pressure fluctuations within the pipeline with a resolution of at least 0.01 bar; a flow sensor configured to measure the volume flow within the pipeline with an accuracy of at least ±0.5% of the measured value; an acoustic sensor configured to detect vibration signatures caused by leaks in a frequency range between 50 Hz and 20 kHz; an embedded microcontroller with integrated analog-to-digital conversion circuitry for digitizing sensor outputs; a wireless communication module configured to transmit time-synchronized sensor data to a cloud-based processing platform; and a local energy subsystem with a rechargeable battery and an optional circuit for generating photovoltaic energy; the cloud-based processing platform includes an artificial intelligence engine that comprises the following: a data acquisition module configured to receive and decode the transmitted sensor data and to perform time alignment; a supervised learning module that is trained on historical data of flagged leaks and non-leaks to classify incoming sensor patterns; an unsupervised learning module configured to detect anomalies by modeling normal operating baselines of the pipeline; and a topology-aware localization module configured to determine leak coordinates using the topology of the pipeline network, modeling the propagation of hydraulic waves, and estimating the arrival time difference from multi-node acoustic detections; and wherein the system is configured to provide real-time leak alerts and georeferenced visualization via a remote monitoring interface.

The invention provides a thermal power generating unit performance optimization control system and method, and the system comprises a data collection module which collects various real-time data in the operation process of a thermal power generating unit; the load prediction module is used for establishing a load prediction model and predicting a load change trend by comprehensively considering a historical load condition, a load change rate, a load change acceleration and an external interference factor; the optimization control module is used for dynamically adjusting fuel, an air door and air quantity according to a control strategy in combination with the load prediction result and the unit operation state; the actions of the regulating valve, the air door actuator and the water supply regulating valve are correspondingly controlled; the monitoring feedback module is used for realizing closed-loop control and self-correction; according to the method, a load prediction model based on the combination of time sequence analysis and a physical mechanism and a control strategy comprehensively considering multi-parameter collaborative optimization are utilized, so that quick response to load change, balance consideration of steam quality and combustion efficiency, self-adaptive stable operation under complex working conditions and improvement of overall performance are achieved.

The invention relates to the technical field of air conditioner chilled water control, in particular to an air conditioner chilled water control method and system based on deep learning, and the method comprises the following steps: collecting states of an air conditioner water chilling unit, including water pump frequency and valve opening feedback, and pipe network water supply temperature, return water temperature, flow and differential pressure operation readings; according to the method, the state parameters of the water chilling unit are dynamically collected, the system operation state feature set is constructed, real-time fusion and standardization processing of multi-source heterogeneous data are achieved, the problem of time sequence dislocation caused by sensor sampling frequency differences is solved, the heat load change key input quantity is recognized based on the feature set, and the system operation state feature set is established. And the performance attenuation trend of the water pump is accurately pre-judged in combination with prediction calculation, and extra energy consumption caused by lagging adjustment is reduced. A layered optimization framework with total energy consumption minimization as a target is introduced, water supply temperature, pressure difference setting and unit operation combination are decoupled into independent optimization sub-problems, and invalid work of a water pump is reduced on the premise that the tail end heat requirement is met.

Provided is an intelligent irrigation control method for rice fields based on a cloud service platform and a system thereof. Constructing a planting condition data set and a condition coefficient, monitoring the current water supply environment of crops, and constructing a water supply coefficient. If the water supply coefficient is lower than the water supply threshold, based on the current growth data of crops, a plurality of corresponding irrigation strategies are matched from the pre-constructed crop irrigation knowledge graph, and the target strategy is selected from a plurality of irrigation strategies; constructing an irrigation observation coefficient set, and constructing irrigation coefficient. If the irrigation coefficient is lower than the efficiency threshold, use the trained strategy optimization model to optimize the target strategy, and control the irrigation coefficient based on the optimized target strategy to complete the irrigation of crops in the irrigation area.

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 relates to the technical field of water pump control, and discloses a water pump energy-saving optimization control method and system. The method comprises the steps of obtaining water pump outlet pressure, pipe network tail end flow and water pump motor power monitoring signals; calculating a flow-pressure propagation time compensation coefficient and a pressure fluctuation compensation value to eliminate the influence of signal propagation lag and amplitude fluctuation; extracting an operation condition feature vector by combining the motor power frequency domain energy distribution feature and the pressure fluctuation compensation value, and matching the operation condition feature vector with an energy-saving parameter mapping rule base to generate an energy-saving parameter combination; correcting a water pump efficiency reference curve in real time based on the combination, outputting an efficiency attenuation factor, and generating a control deviation value in combination with a target water supply demand; according to the control deviation value, the water pump rotating speed adjusting quantity and a start-stop priority sequence are calculated, and the priority sequence is optimized in combination with historical operation data to generate a machine number control instruction; and finally synthesizing a control signal to drive an execution mechanism.

The invention discloses an agricultural water-saving irrigation system and a water-saving irrigation method thereof. Relates to the technical field of agricultural irrigation. The height adjusting device comprises clamping assemblies and a plurality of lifting air cylinders, and the top of each lifting air cylinder is provided with the corresponding clamping assembly; and the two water supply pipelines are correspondingly arranged at intervals, each water supply pipeline is fixed to the lifting air cylinder through a clamping assembly, a plurality of irrigation pipelines are arranged between the two water supply pipelines at intervals, and each irrigation pipeline is provided with an irrigation spray head assembly. The agricultural water-saving irrigation method comprises the following steps: step 1, height adjustment; 2, adjusting the irrigation water flow; step 3, carrying out drip irrigation; 4, sprinkling irrigation is carried out; and 5, pressure adjustment. According to different irrigation requirements, switching between spray irrigation and drip irrigation can be achieved through the irrigation spray head assembly, so that more accurate moisture control is achieved, and the irrigation process is simple, direct and practical.

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 relates to the technical field of heat supply system temperature control, and discloses a temperature control method of an air source heat pump heat supply system. The method comprises the following steps: establishing a temperature field model according to temperature-pressure-flow data of the head and tail ends of a building and each region, and obtaining distribution characteristics; analyzing and predicting a thermal load based on the temperature rise and drop rate and the heat storage coefficient; determining a water supply temperature correction coefficient and a valve opening degree through fuzzy control in combination with an outdoor temperature trend; generating a partition start-stop sequence according to the partition start-stop sequence; and finally calculating heat pump operation frequency and water pump rotation speed. According to the method, the partition control strategy based on temperature field modeling is established, the technical means such as unit pressure compensation and partition alternate starting are combined, accurate temperature control over all the heat supply areas is achieved, and the problem of uneven heat supply in the prior art is effectively solved.

A leakage sound signal denoising method based on a combination of optimized VMD and an improved wavelet threshold, for use in solving the problem in existing noise processing methods of low identification accuracy in processing leakage sound signals of water supply pipe networks. The present invention comprises: acquiring leakage sound signals of a real water supply pipe network, and analyzing noise components and ranges of the leakage sound signals; on the basis of a goshawk optimization algorithm, performing parameter optimization on the number K of decomposition modes and a penalty factor α of VMD to obtain optimal parameters, and using the optimal parameters to construct a variational model; using the variational model to decompose the leakage sound signals to obtain a plurality of intrinsic mode components; using a correlation coefficient method to screen the plurality of intrinsic mode components to obtain high-frequency components and low-frequency components; performing wavelet threshold denoising processing on the high-frequency components to obtain denoised high-frequency components; and reconstructing the low-frequency components and the denoised high-frequency components to obtain denoised leakage sound signals. The beneficial effects are that the signal-to-noise ratio of denoising processing is improved, and the identification accuracy is improved.

The present invention discloses a handheld spray fan, the handheld spray fan includes a housing assembly, fan assembly, and spray device. The housing assembly features a handheld part, an air duct at one end, and an air outlet cover at the end of the air duct with a through-hole and multiple air outlet holes. The fan assembly is installed within the air duct, and the spray device comprises a water tank, water pipe, mounting seat, fiber water guide, and atomizer. The water tank is positioned within the housing assembly, the water pipe connects the water tank and the mounting seat, the mounting seat is located at the through-hole, and the atomizer is installed on the mounting seat and exposed through the through-hole. The fiber water guide extends from the water tank to the atomizer, ensuring continuous water supply for stable misting.

Disclosed is a multifunctional outdoor fan. The multifunctional outdoor fan includes a fan base, a fan support, and a fan head. The fan head is provided with a rotating shaft, fan blades mounted on the rotating shaft, and a fan grille mounted outside the fan blades. The fan grille is provided with a water tank, the water tank is provided with a water injection port, and the water injection port is connected to a water tank cover. The rotation shaft is provided with an atomization assembly, the atomization assembly is in communication with the water tank through a water tube, the water tank supplies water to the atomization assembly through the water tube, and the atomization assembly is provided with an atomization port.

The invention belongs to the technical field of building envelope photo-thermal performance detection, and particularly relates to a spray type light-transmitting roof photo-thermal performance detection device and a detection method thereof. The spray type light-transmitting roof photo-thermal performance detection device comprises an external environment simulation device which comprises an external environment box and an artificial light source, and the artificial light source is installed in the external environment box; the light-transmitting roof test piece is mounted on the lower side wall of the external environment box; the spraying device comprises a nozzle, and the nozzle is located below the artificial light source and above the light-transmitting roof test piece; the heat metering device comprises a heat metering box and a plurality of detection sensors; the air supply and return system is used for circularly conveying airflow into the heat metering device; the water supply and return system is used for supplying water to the air supply and return system; the control system is used for controlling the external environment simulation device, the heat metering device, the air supply and return system, the water supply and return system and the spraying device. According to the invention, the photo-thermal performance of the light-transmitting roof under the spraying condition can be accurately evaluated.

The invention discloses a reservoir real-time scheduling simulation system based on a deep learning algorithm, and belongs to the technical field of intelligent water conservancy and artificial intelligence. Aiming at the problems of low prediction precision, poor multi-target coordination capability, weak coping uncertainty and the like of a traditional scheduling system, the system is designed to acquire hydrological, meteorological, water quality and engineering safety data through a multi-source data acquisition unit, and a multi-dimensional feature tensor is generated after preprocessing and fusion; the dispatching center server adopts an STGCN-LSTM mixed model to achieve high-precision prediction and uncertainty quantification of the water inflow process in the future 7-30 days, a reservoir hydrodynamic model and an MO-PPO algorithm are combined to complete multi-scene simulation and multi-target optimization decision, and an AF-DT mechanism dynamically adjusts the dispatching rule priority. According to the system, a sensing-decision-execution-feedback closed loop is constructed, the scheduling adaptive capacity and robustness are improved, the synergistic interaction of flood control, water supply, power generation and ecological protection is realized, and the system is suitable for real-time intelligent scheduling of large and medium reservoirs.

The invention relates to the technical field of water pump control, and provides a water supply and drainage pump set assembly and a digital control system, which realize self-adaptive control under a complex working condition by fusing multi-source data such as pressure, flow and temperature, break through the dependence of traditional control on a single parameter, and improve the response capability of the control system to water fluctuation and equipment state change. Based on a long-short-term memory network trained by historical multi-source data, a control system can predict a pressure set value in advance, the pressure set value is solved through a particle swarm algorithm, and weight fusion is performed according to the predicted pressure set value and the solved pressure set value to generate an adjustment instruction, so that the starting and stopping times of equipment and mechanical wear are reduced, and the service life of the equipment is prolonged. The maintenance cost is reduced, and water resource waste is avoided through accurate control; and meanwhile, through a redundancy design and a fault-tolerant mechanism, the control system can still operate stably under the scenes of sensor faults, equipment abnormity and the like.

The invention relates to the technical field of electrical performance testing, in particular to a water supply equipment electrical performance detection system based on artificial intelligence, which comprises an electrical parameter acquisition module, an energy efficiency analysis module, an insulation performance evaluation module and a comprehensive diagnosis module. According to the invention, a three-phase voltage and current root-mean-square value is dynamically calculated through a broadband current transformer and a sliding window integration method, a 50Hz fundamental component amplitude is extracted to separate power frequency and high frequency harmonic waves, a continuous period energy efficiency ratio standard deviation triggers an insulation detection threshold value, and a parameter fluctuation and insulation degradation response mechanism is established. Harmonic interference correction synchronous processing energy efficiency ratio and leakage current integration, the detection error being lower than 5%, temperature rise rate linear regression and bearing current threshold value cooperative determination, winding aging cross validation, fault misjudgment rate reduction to 26%, closed-loop detection fusion transient capture, dynamic threshold value triggering and multi-parameter diagnosis, early warning success rate reaching 92%, and positioning response being reduced to 3 seconds.

The invention discloses a hilly slope irrigation control system based on artificial intelligence, and the system comprises a wind speed and wind direction detection module which is used for obtaining wind speed and wind direction data; the sprinkler head adjusting module is used for adjusting the angle and the spraying distance of a sprinkler head based on the wind speed and wind direction data; the soil humidity detection module is used for being connected with a soil humidity sensor and determining irrigation requirements according to data of the soil humidity sensor; the artificial intelligence control module is used for optimizing the irrigation time and the irrigation amount through an artificial intelligence algorithm; the sprinkling irrigation system control module is used for controlling the sprinkling irrigation system to irrigate according to the optimization result; the hilly slope irrigation control system based on artificial intelligence reduces the phenomenon of non-uniform growth of crops, facilitates healthy and uniform growth of the crops, and ensures that the crops can obtain a proper amount of water supply, so that normal growth and development of the crops are promoted, the yield and quality of the crops are improved, and the agricultural production benefits are further improved.

The invention discloses a regional water supply emergency scheduling method and system. The method comprises the following steps: fusing GIS and IoT data to construct a dynamic three-dimensional topology model; historical water consumption and meteorological data are decomposed through wavelet multi-scale decomposition, and a prediction model is input to obtain a water consumption prediction value of a scheduling day period; on the basis of reservoir water storage, flow, water quality, rainfall and pollution source data collected in real time, a flow-water quality coupling model is used for predicting the reservoir inflow and water quality of a dispatching day; the method comprises the following steps: establishing a multi-objective function by combining water consumption prediction, storage prediction and current water storage, embedding a water quality constrained multi-objective optimization model, and solving by adopting an NSGA-II algorithm to obtain a Pareto optimal scheduling scheme set; and finally, a scheme is selected to be issued and executed. According to the method, data-physical collaborative intelligent scheduling decision is realized, the water supply demand is met under the condition that the water supply quality is stable, the condition of water shortage of the user terminal is avoided, and the water quality of the user terminal can continuously reach the standard.

A handheld skin treatment device can include an atomizer to generate water droplets when fed from a water reservoir, a water supply tank to contain the water reservoir and to feed water therefrom to interact with the atomizer and generate the water droplets, and a heating tube to receive and heat the water droplets having an average temperature from 55° C. to 90° C. at an exit opening of the heating tube.

The invention relates to the technical field of water affair pipe network operation and maintenance, in particular to an intelligent analysis processing and decision support method for mass data of an intelligent water affair integrated platform based on a GIS (Geographic Information System) and the Internet of Things. According to the method, GIS topology and data of the internet of things are fused, the problems that the estimation deviation of the influence range of traditional pipe explosion is large, and the valve closing instruction lacks accuracy are solved, and the valve closing effectiveness is verified. The pipe explosion emergency response efficiency is improved, the water resource waste is reduced, the water supply stability is guaranteed, and the method is suitable for urban water refinement management.

The invention relates to the technical field of disaster prediction and early warning, in particular to a rural water supply project drought disaster prediction and early warning method and system. The method comprises the following steps: acquiring a hydrological data set; performing data preprocessing on the hydrological data set to generate a hydrological core processing data set; performing data feature extraction on the hydrological core processing data set to generate a hydrological feature data set; quantifying the hydrological characteristic data set to generate a multi-water-source drought early warning threshold calculation algorithm; constructing a multi-dimensional interaction model by using a multi-water-source drought early warning threshold calculation algorithm in combination with the hydrological characteristic data set, and generating a multi-source hydrological drought early warning and prediction model; therefore, by optimizing hydrological data processing and early warning threshold calculation, the problem of inaccurate prediction caused by inconsistent multi-source data in a traditional early warning system is solved, and the accuracy and reliability of early warning of drought disasters are greatly improved.

The invention discloses an intelligent water supply management system and method based on wind-light-water multi-source data fusion, and relates to the technical field of electric digital data processing. The system comprises a time alignment deviation quantification module, a time alignment regulation and control module, a data fusion timeliness response quantification module and a timeliness response regulation and control module. According to the method, the time alignment deviation quantization result is obtained by quantizing the multi-source data time parameters, whether time alignment regulation is carried out or not is judged, if yes, the timeliness response parameters are obtained after regulation, and if not, the timeliness response parameters are directly obtained and quantized to obtain the data fusion timeliness response quantization result; and whether PLC scanning interval regulation and monitoring verification are carried out or not is judged based on the data fusion timeliness response quantification result, so that the timeliness of water supply management demand response is improved, and the problem that in the prior art, the water supply management execution response flexibility is poor due to the fact that the time difference of multi-source data processing is not fully considered is solved.

The invention discloses a water-cooling central air conditioner load management and control method based on artificial intelligence, and relates to the technical field of load management and control. Load prediction is carried out by combining a long and short-term memory time sequence model and a physical constraint neural network in a water chilling unit load prediction link and utilizing historical data; errors are corrected through an energy balance equation of the water chilling unit, and the prediction accuracy is improved; multi-objective optimization control is adopted, COP maximization of a water chilling unit, energy consumption minimization of a cooling tower fan and cooling water supply temperature stability serve as optimization objectives, environment temperature and humidity prediction is combined, and a cooling water supply temperature set point and a cooling tower fan start-stop strategy are dynamically calculated; based on a cooling water supply temperature set point and a fan start-stop strategy, a water chilling unit, a cooling tower fan and a water pump are dynamically adjusted, and the high-frequency operation phenomenon is reduced through fan start-stop optimization.

A river-lake system ecological scheduling method coupled with basin hydrological response belongs to the field of reservoir ecological scheduling, and comprises the following steps: firstly, selecting a research area to represent a hydrological station, and drawing a basin hydrological evolution topological graph; secondly, constructing a watershed hydrological response model step by step, and simulating a response process of lake hydrological situation to upstream reservoir drainage; thirdly, putting forward an ecological evaluation index, and quantifying lake hydrological-ecological response; 4, constructing a multi-objective optimization scheduling model of the river-lake system; 5, optimizing the multi-objective optimization scheduling model of the river-lake system; and finally, based on a fuzzy optimization method, recommending an optimal reservoir scheduling rule conforming to decision preference. According to the method, the beneficial benefits such as power generation and water supply of the reservoir are guaranteed, the adverse effect of concentrated water storage of the upstream reservoir on the ecology of the downstream lake can be weakened to the maximum extent, the reservoir scheduling rule with the maximum comprehensive benefits is recommended, and scientific scheduling basis and decision support are provided for green development of a river-lake system.

The invention discloses a faucet structure which comprises a bottom pipe, two water outlet pipes arranged on the bottom pipe and water supply water ways arranged in the bottom pipe and the water outlet pipes, the two water outlet pipes comprise the first water outlet pipe and the second water outlet pipe, the first water supply water way is arranged in the first water outlet pipe and the bottom pipe, and the second water supply water way is arranged in the second water outlet pipe. A second water supply channel is arranged in the second water outlet pipe and the bottom pipe, a sleeve is further installed on the bottom pipe, the second water outlet pipe and the first water outlet pipe are sequentially and rotationally arranged outside the sleeve in a sleeving mode from bottom to top, the first water supply channel axially penetrates through the sleeve, and the second water supply channel axially penetrates through the sleeve. The two water supply channels are arranged in the faucet, and the two water outlet pipes are correspondingly arranged, so that the two water supply channels can be connected with different water sources, the two water sources are integrated on one faucet to discharge water, a user can conveniently select different water outlet pipelines at any time according to needs during use, great convenience is brought to the user, the occupied space is reduced, and the cost is reduced. And the device is very suitable for small-sized kitchens.

The invention discloses a multi-dimensional real-time operation monitoring and alarm linkage system for an urban direct drinking water plant station, and relates to the technical field of intelligent water affairs. Water quality, water quantity and equipment operation state data are collected in real time and fused to form a multi-dimensional data set, and a threshold adjustment accuracy evaluation model is established based on an instantaneous flow fluctuation rate and a daily variation deviation value; a machine learning method is utilized to judge and correct an inaccurate threshold adjustment action, and a self-adaptive genetic algorithm is adopted to continuously optimize a multi-dimensional analysis model and an adjustment strategy, so that the recognition capability of the system on serious abnormities such as pipe burst and water leakage is effectively improved, the continuity and safety of direct drinking water supply are guaranteed, and the system is suitable for popularization and application. And the stability and the intelligent level of the whole operation safety guarantee system are obviously improved.

The embodiment of the invention provides a thermal management integration module and an automobile, and relates to the field of automobile manufacturing. The heat management integrated module comprises an integrated water tank, a battery water pump, a warm air water pump and a heat exchanger. Wherein the integrated water tank comprises a tank cover, a battery auxiliary water tank and a motor auxiliary water tank, the tank cover covers one of the battery auxiliary water tank and the motor auxiliary water tank, the battery auxiliary water tank is communicated with the motor auxiliary water tank, and the battery auxiliary water tank, the battery water pump, the heat exchanger and the warm air water pump are sequentially communicated. In the working process, the battery auxiliary water tank and the motor auxiliary water tank which are communicated are integrated in the integrated water tank, water adding can be conducted only by opening the tank cover so that water can be supplied to other parts, the battery water pump and the warm air water pump are used for pumping water, and the heat exchanger is used for conducting heat exchange operation on the pumped water. The thermal management integrated module can integrate parts related to thermal management, so that the number of the parts is reduced, the assembly process is simplified, the assembly reduction difficulty is reduced, and the assembly efficiency is improved.

A pet water dispenser includes a water tank for storing liquid, an upper cover installed above water tank and having a sink and a water leakage opening communicating with water tank in surface, a water pump extending into or onto upper cover from lower part of water tank and having a water supply opening in surface above upper cover; water pump includes a first accommodating chamber internally having a motor which drives pump blades below first accommodating chamber to rotate through a rotating shaft, second accommodating chambers of which walls define a pump chamber with downwards-extended wall of first accommodating chamber; a centrifugal water pump formed by pump blades in pump chamber and matched motor and including a water inlet communicating with water tank, and a water discharging opening; a water supply channel formed by second accommodating chambers sequentially communicating with water discharging opening and water supply opening.

The invention discloses a reservoir water regimen analysis method and system based on artificial intelligence, and the method comprises the steps: collecting original signals from multi-source monitoring indexes, such as water level, flow, rainfall and water quality, carrying out the standardized conversion through employing distributed calculation nodes, and forming a unified multi-source data set; based on this, using a feature extraction network to fuse upstream rainfall and reservoir flow, extracting space-time correlation features, and determining a short-term water level change trend; historical water quality abnormal data are integrated through a sequence prediction network, a time sequence is modeled, and potential pollution risks are judged; when the risk exceeds a threshold value, dynamically adjusting the weight of the prediction model, and generating an optimized water regimen simulation scene; finally, resource scheduling logic is fused, multi-scene risks are evaluated, and an optimization management strategy is output. Through deep fusion of spatial-temporal feature extraction and dynamic prediction, accurate water regimen prediction and flood control water supply decision support are realized, and the water resource management efficiency and the pollution prevention and control capability are improved.

The invention discloses an intelligent hydrogen production system and method.The intelligent hydrogen production system comprises a water supply device, a hydrogen production device, a purification device, a hydrogen conveying device, a pressure relief device, a system monitoring unit and a system control unit.The liquid level of a water tank is detected through a first liquid level meter, and the temperature of pure water of the water tank is detected through a first temperature sensor; the conductivity of water treated by the water machine is detected through the first conductivity meter so as to judge the purity degree of the water, the conductivity of electrolyzed water entering the electrolytic bath is detected through the second conductivity meter, the temperature of the electrolyzed water in the electrolytic bath is detected through the second temperature sensor, and it is guaranteed that the water quality and the water temperature in the electrolytic bath meet the electrolysis requirement. The liquid level of separated water in the water-vapor separator is detected through the second liquid level meter, the dew-point temperature of hydrogen is detected through the dew-point meter, and the actual output flow of hydrogen flowing through the hydrogen outlet is detected through the flow meter. The water temperature, the water level, the hydrogen flow, the conductivity and the like can be monitored, safe and efficient operation of equipment is ensured, and potential safety hazards are prevented.