29 results about "Urban water" patented technology

This invention relates to the field of water storage tank operation and management technology, and particularly to an interactive control method and system for urban water storage tank operation and management. The method includes the following steps: acquiring the geometric structural parameters of the water storage tank; setting dynamic boundary parameters based on the geometric structural parameters; wherein the dynamic boundary parameters include a safe water storage upper limit, a recommended emptying water level, and a forced emptying water level; constructing a three-dimensional interactive visual interface containing spatiotemporal constraints based on the dynamic boundary parameters; and performing virtual execution verification in response to the input of interactive operating condition switching commands on the three-dimensional interactive visual interface. Once the virtual execution verification is successful, the equipment linkage pre-simulation sequence is converted into control commands and issued to realize the operation and management of the urban water storage tank. This invention, by constructing a three-dimensional water level dynamic boundary mapping and equipment linkage virtual pre-simulation mechanism, achieves intuitive perception of operating condition switching and water hammer safety verification, thereby solving the problems of difficulty in judging operation timing and the potential for misoperation.

This invention proposes a device for intelligent regulation of urban water volume and pressure, relating to the field of intelligent management of urban water supply. It includes a water pump, valves, and a filter. The input end of the water pump is fixedly connected to a first pipe, and a detection component is provided on the inner wall of the first pipe. The output end of the water pump is fixedly connected to a second pipe, and the valve is located on the outer surface of the second pipe. This invention uses a first pressure sensor, a first flow sensor, and a water quality sensor in the detection component to detect the pressure, flow rate, and water quality of the water flowing within the device. This facilitates the collection of data on water pressure, volume, and quality, enabling subsequent intelligent regulation of the water supply. By regulating the water supply through the water pump and valve, and in conjunction with the collection of water pressure and volume data, intelligent regulation of water volume and pressure is achieved. The filter removes smaller impurities from the regulated water, thereby improving water quality.

The application discloses a simulation and dispatching control method and system for urban flood process. The application belongs to the technical field of urban water conservancy system control. The method comprises the following steps: collecting and constructing a specific type of basic data set, respectively constructing a hydrological runoff model, a one-dimensional water power model of a drainage pipe network, a river network mixed water power model and an engineering dispatching model; performing three-dimensional dynamic coupling to form a water resource full-space dynamic model; using at least one historical flood event in historical flood data to calibrate parameters and verify accuracy of the water resource full-space dynamic model; after verification, using the water resource full-space dynamic model to build a digital simulation platform to simulate flood and determine a dispatching scheme. The technical scheme can realize multi-scenario dynamic simulation, automatic comparison and selection after generation of a dispatching scheme, enhance system adaptability and response timeliness under extreme weather, and provide an efficient and accurate flood control and drainage scheme generation mechanism for urban area flood control and drainage.

The present application relates to the technical field of urban water and soil conservation, in particular to a kind of urban production construction project yellow mud water early warning and tracing method and system, comprising the following steps: step 1, constructing yellow mud water occurrence probability model: based on the risk law of water and soil loss of production construction project, a three-layer coupled model including the base layer, risk layer and protection layer is constructed, and each layer model is configured with corresponding evaluation index, algorithm and weight;Step 2, obtain specified range project and comprehensive data: determine the target range, collect the basic data, monitoring data and regulatory data of production construction project in the range. Taking production construction project as the core analysis unit, breaking through the limitation of traditional regional analysis, integrating basic static information and dynamic data in construction process, three-layer coupled model realizes full-dimensional risk assessment, greatly improves the spatial accuracy of early warning and the accuracy of tracing, and reduces the false alarm rate.

This utility model belongs to the field of urban water conservation and discloses an integrated system for rainwater harvesting and greywater reuse in buildings. It includes a rainwater harvesting system comprising a rainwater tank, rainwater collection pipes, rainwater downpipes, and a rainwater outlet pipe. The rainwater tank is installed within the building body, the rainwater collection pipes are fixed to the top of the building body and connected to the rainwater tank, and a rainwater overflow pipe is installed inside the rainwater tank. The rainwater downpipes are installed on the side walls of the building body, and the rainwater overflow pipes are connected to the rainwater downpipes. The rainwater outlet pipe is installed on the side wall of the rainwater tank. A greywater system is also included. Rainwater is collected from the top floor of the building body through the rainwater collection pipes, and then connected to the greywater system through the rainwater outlet pipes. This allows the rainwater collected by the building body to be reused for indoor washing, avoiding the situation where rainwater collected by the building cannot be fully utilized by the rain garden, thus improving the utilization rate of rainwater.

The application relates to the field of urban water environment and pollution control technology, and discloses a new pollutant simulation method for urban river network, which comprises the following steps: obtaining hydrographic data of a target river network region, collecting concentration measured data of a target pollutant in water and sediments, constructing a coupled hydrology-pollutant transmission model, setting initial parameters of the model, and outputting the spatial and temporal distribution of the pollutant by running the model; emergency simulation of a sudden pollution event, wherein the influence range is output within 10 minutes after inputting accident discharge parameters; long-term pollution trend prediction, which supports scenario analysis on a 5-10 year scale. A city drainage correction term is introduced by improving the Saint-Venant equation set, and the parameters are optimized in combination with measured data, so that the accuracy of hydrological simulation of the urban river network is significantly improved; compared with a traditional method, the Nash efficiency coefficient is improved from 0.68 to 0.79, so that the simulation of the water dynamics of the urban river network is more accurate, and a more reliable basis is provided for the design of the urban drainage system and flood warning.

The present application relates to the technical field of urban water ecological system regulation and management, and particularly relates to a method and system for reconstructing an urban river ecological system based on tail water of a sewage treatment plant. The method comprises the following steps: introducing tail water of the sewage treatment plant into a parallel or surrounding artificial wetland deep purification corridor for purification, collecting the purified tail water quality, mixing the purified tail water quality at a water distribution hub, and implementing pulse ecological water replenishment to the downstream of the river through a pre-set intelligent dam; collecting initial topographic data of the smooth hard river, determining habitat size parameters in combination with habitat conditions required for aquatic organisms to survive, and reconstructing the river topography to form a sequence of habitat units. The present application reconstructs a tail water type river ecological system with rich biodiversity, self-purification capacity and self-maintenance capacity to improve the controllability and long-term stability of urban ecological engineering.

Water pumps for an urban water landscape, including a water pump main body, a water pump base, a grille net cover, and a filter component. The water pump main body includes a water pump shell. A water outlet interface is disposed on a top of the water pump shell. The grille net cover is located on a front side of the water pump shell. The grille net cover is fixedly connected to the water pump shell through a filter component pallet on a bottom of the grille net cover and filter component cross bars on two sides of the grille net cover. Two filter assemblies are inserted in series in the filter component slot. The water pump main body is detachably disposed on the water pump base.

This invention discloses a big data-based method for predicting urban water supply demand, belonging to the field of urban water supply system management technology. It includes multi-source data integration, water use behavior profiling modeling, and urban water supply demand prediction. The invention employs a dynamic water use behavior profiling modeling method that combines state space construction and conditional evolution modeling. This method can reflect the formation characteristics of different water use patterns and their evolutionary trends with environmental changes within a unified behavioral state framework, thus providing a clearly structured behavioral foundation for urban water supply demand prediction. Furthermore, the invention utilizes an urban water supply demand prediction method based on the evolution of water use behavior state proportions, achieving a dynamic reflection of changes in urban water use structure. This allows the water supply demand prediction results to adaptively adjust with the evolution of water use behavior structure, improving the accuracy, stability, and applicability of urban water supply demand prediction.

The application relates to the technical field of urban water system asset management, and discloses a kind of urban water asset dynamic risk assessment method based on physical reinforcement graph network, first acquire urban water system asset multi-source data, carry out spatio-temporal alignment processing;The spatio-temporal alignment data is fused with static attribute, spatial geographic information to construct dynamic heterogeneous graph;The dynamic heterogeneous graph is input into the pre-trained physical reinforcement graph neural network model, and the failure probability index and the failure consequence index are output through the graph attention mechanism with physical causal mask constraint, the real-time risk level is determined and closed-loop management and control are executed;Model evolution is realized through Bayesian update and incremental learning.The application deeply integrates the physical laws of hydraulics with graph neural networks, solving the problems of spatio-temporal misalignment of monitoring data, insufficient utilization of topological correlation, lack of physical constraints in models, and inability to adaptively evolve, and achieving precise, interpretable, and adaptive dynamic risk assessment of urban water system assets.

This invention discloses an intelligent monitoring and early warning method for small urban water bodies based on visible light drones, belonging to the field of water quality prediction and management technology. The method acquires water body images using a drone equipped with a visible light sensor, automatically stitches them together to generate orthophotos, automatically segments water body areas and outputs boundary vector layers, extracts band DN values ​​and constructs a water quality parameter feature dataset through normalization, band combination, and chromaticity angle calculation, uses a machine learning model to invert chlorophyll a concentration, turbidity, and phycocyanin concentration, and optimizes the model accuracy by combining measured data, performs statistical analysis and future trend prediction on the inversion results, and generates thematic maps, completes water quality evaluation according to standards, and automatically outputs reports and pushes them to relevant units when early warning conditions are met. This invention uses low-cost visible light equipment to achieve fully automated intelligent monitoring, effectively improving inversion accuracy and regulatory efficiency, and adapting to the needs of large-scale, routine monitoring and early warning of small urban water bodies.

The present application belongs to the technical field of urban public facilities equipment, and relates to a method for collecting and recycling urban rainwater, which comprises the following steps: (1) collecting water through a four-stage source water collecting channel; (2) collecting rainwater of the urban trunk road and the four-stage source water collecting channel into a three-stage trunk road water collecting channel; (3) collecting rainwater of the urban trunk road and the three-stage trunk road water collecting channel into a two-stage regional water collecting channel; (4) filtering and depositing rainwater collected by the two-stage regional water collecting channel in a filter and depositing pool; (5) flowing rainwater of the two-stage regional water collecting channel into an urban river or a first-stage urban water conveying pipeline, and finally flowing the rainwater into a suburban reservoir; (6) conveying water of the suburban reservoir to an upstream river through a return pipeline, and opening a water intake station at each section of the return pipeline; (7) configuring a solar power supply system for the urban river to supply power; and (8) cleaning the surface water collecting channel. The method can collect and utilize rainwater, avoid flooding of urban roads by rainwater, and improve the utilization rate of rainwater.

This application relates to a method, apparatus, medium, and computer equipment for constructing urban water network models. The method includes: establishing a coupled InfoWorks ICM-Delft 3D model based on an InfoWorks ICM model and a Delft 3D model; establishing an objective function based on the coupled InfoWorks ICM-Delft 3D model; and determining at least a flood control plan based on preset rules and the objective function. The apparatus uses the method described above. This application, by establishing a coupled InfoWorks ICM-Delft 3D model, then establishing an objective function, and finally training the objective function according to preset rules to determine the flood control plan, can better establish a drainage and flood control model for simulating and predicting flood control systems and tracing the source of water pollution. It also has high data processing efficiency and improves the accuracy of water depth prediction for non-monitoring units and the accuracy of water quality process change prediction.

The application provides a kind of urban water body runoff control method and system, it is related to urban water body runoff control technical field, comprising: obtaining historical rainfall data, real-time data, modeling parameter and urban drainage system parameter;Characteristic information is obtained by rainfall frequency analysis processing based on the preset bayesian inference mathematical model to historical rainfall data;According to characteristic information and rainwater pipe network layout map, regional division processing is carried out to obtain segmentation result;According to segmentation result, rainfall prediction model is constructed to obtain prediction change result;According to prediction result and rainwater pipe network layout map, simulation processing is carried out to obtain simulation result;Based on simulation result, initial control scheme is optimized to obtain urban water body runoff dynamic control scheme.The application comprehensively considers topography, building and soil permeability characteristics of multiple factors, adopts graph embedding algorithm and multi-objective optimization method, and comprehensively analyzes and optimizes urban drainage system, improves the overall efficiency of the system.

The application discloses a space-air-ground multi-source heterogeneous data integration method and system for city water body monitoring, and the method comprises the following steps: acquiring remote sensing data, ground monitoring data and social data, and performing conversion; performing data format identification and unification, metadata analysis and standardization and band alignment and unified naming on the remote sensing data; performing time alignment and missing value interpolation on the ground monitoring data; performing spatial mapping and statistical caliber unification on the social data; loading the standardized data into a hierarchical hybrid architecture data warehouse which is compatible with matrix structure, time sequence structure and relationship structure; and providing data query and distribution services according to regional and / or project dimensions. The application solves the problem of different data formats, different structures and difficult integration in the city water body monitoring by designing special rules for the three types of heterogeneous data and constructing a hybrid storage data warehouse compatible with multiple data structures.

This utility model discloses an ecological restoration device for urban water bodies, comprising: several concave filter boxes, a J-shaped siphon suction pipe, and a filtration restoration structure. The concave filter boxes are mutually capped, and the J-shaped siphon suction pipe is connected to the highest concave filter box. The filtration restoration structure is installed inside the concave filter boxes. This utility model relates to the field of water body ecological technology. By using multiple concave filter boxes mutually capped, in conjunction with the J-shaped siphon suction pipe and the filtration restoration structure, efficient water purification is achieved. The device utilizes photovoltaic panels to convert solar energy into electrical energy, driving an ozone emitter and an air pump to introduce ozone and high-pressure gas into the concave filter boxes. The ozone is then diverted through a bubble emission net, enhancing the oxidation and purification effect of the water.

The application discloses a kind of urban water and electricity infrastructure failure analysis method, device, equipment and storage medium, it is related to urban water and electricity failure analysis field, comprising: the failure proportion of upstream node is determined, whether it is failure state based on failure proportion, wherein, to be analyzed node is corresponding with urban water and electricity infrastructure;In the case of being not failure state, the water depth of to-be-analyzed node is determined according to water depth variation model;When water depth is greater than water depth threshold value, the target failure probability of to-be-analyzed node is determined based on water depth and target failure probability model;The random value of to-be-analyzed node is generated by Monte Carlo simulation method, and whether to-be-analyzed node is failure state is determined again based on target failure probability and random value;If still not failure state, whether it is failure state is further determined based on random failure probability;Failure analysis result is generated based on the state of to-be-analyzed node, and the scientific analysis of water and electricity infrastructure failure is realized.

This invention relates to the field of water environment monitoring and assessment technology, specifically a method and system for assessing urban river and lake water pollution based on spatiotemporal evolution characteristics. The method includes acquiring water quality concentrations, flow velocity vectors, and regional rainfall-runoff data at monitoring nodes; identifying pollution types using the response time curves of water quality parameters and rainfall-runoff, and the concentration ratios between nodes; subsequently constructing a spatial transport matrix based on the velocity vector and spatial gradient distribution of concentration to quantify the mass load of pollutants migrating with the water flow per unit time; tracking the trajectory of the load evolution based on the matrix and calculating the self-purification degradation rate during the transport process; finally, establishing a spatiotemporal diffusion model by combining the load, degradation rate, and trajectory to simulate the coverage area and peak concentration of the pollution diffusion cloud within a preset time period, generating assessment results. This invention can achieve spatiotemporal dynamic tracking and accurate prediction of urban water pollution, providing a scientific basis for environmental governance decisions.

The utility model provides a kind of multi-functional municipal seat of sponge city, which has both fixing stability and resistance to breakage, and helps to alleviate urban water shortage and waterlogging problems. The multi-functional municipal seat of sponge city includes a seat body and a buried base. The buried base has a water collection cavity inside. A water taking mechanism for taking water is installed on the buried base and communicates with the water collection cavity. The seat body is fixed on the upper surface of the buried base. A rain shelter is installed above the seat body, and a rainwater collection channel is provided on the rain shelter. A drainage pipe is also installed on the buried base, with one end communicating with the rainwater collection channel and the other end communicating with the water collection cavity. The utility model is more in line with the concept of sponge city.

This invention discloses a wastewater treatment device based on urban water network ecosystem restoration, relating to the field of wastewater treatment technology. It includes: an inlet pipe, one end of which is connected to the urban water network; a treatment chamber connected to the inlet pipe for treating wastewater within the inlet pipe, the treatment chamber containing an interception component; an installation pipe assembly located below the treatment chamber for adjusting its installation position; a measuring pipe installed below the installation pipe assembly for draining; a detector located on one side of the measuring pipe for detecting the effluent quality; and a control chamber located above the treatment chamber, the control chamber also containing a control component. This control component adjusts the interception efficiency of the interception component, improving the device's adaptability.

The present application belongs to the field of urban water conservancy environment management, and mainly relates to a water conservancy environment risk early warning analysis method and system based on big data, aiming to solve the problem of insufficient water level abnormal fluctuation description ability of the existing technology under the combined working condition of pump gate combined drainage and river network jacking under extreme weather; by fusing multi-source monitoring data and dispatching feedback, a water conservancy link diagram is constructed, integrated modeling and learning are carried out by using a whole network conditional space-time graph neural network, and synchronous estimation of the real-time output capacity of the node device and the river network propagation time delay is realized; not only the water level change of the target section in the future period can be accurately predicted, but also the evolution trend of key water quality indexes such as ammonia nitrogen and dissolved oxygen can be jointly predicted, and the water quality change of the urban water conservancy environment can be predicted; based on the multi-dimensional prediction results, a hierarchical early warning is automatically generated, thereby significantly improving the early warning accuracy and decision-making efficiency of the urban water conservancy environment facing the combined risk.

The application is suitable for the field of urban water environment sanitation and intelligent operation control technology, and provides a sanitation operation quality intelligent evaluation method and system fusing multi-source data.The method comprises the following steps: when sanitation operation is implemented by using the predetermined cleaning device subsequently, the relative offset distance between the instant operation position and the water quality self-stable area is acquired in real time based on the reference offset distance, and the preset operation intensity is dynamically adjusted according to the difference between the reference offset distance and the relative offset distance.The technical scheme of the application effectively considers the cleaning efficiency and the subsequent water quality stability, avoids the secondary pollution caused by the traditional unified intensity cleaning, significantly improves the fine and long-term management level of the sanitation operation, and has outstanding practical value and broad popularization and application prospect.

This application provides a method and system for joint scheduling of urban water network drainage, relating to the field of urban flood control and drainage technology. The method includes: fusing multi-source monitoring data to obtain feature vectors; inputting the feature vectors into a runoff prediction model to predict runoff, obtaining a comprehensive runoff prediction result; based on the comprehensive runoff prediction result, simulating pipe network flow and surface water accumulation using a drainage hydraulic model to obtain a target simulation result; based on the target simulation result and monitoring data, conducting an urban flooding risk assessment to obtain an urban flooding risk level; selecting a corresponding scheduling generation mode based on meteorological forecast data, monitoring data, and the urban flooding risk level; and determining a corresponding scheduling strategy based on the selected scheduling generation mode and the urban flooding risk level. The method and system for joint scheduling of urban water network drainage provided by this application achieves accurate prediction simulation and scientific scheduling, further improving drainage efficiency.

The application provides a kind of urban water system operation method, system, equipment and medium, method includes: obtaining the operation data of urban water system;Operation data includes the carbon emission data of water facilities and the carbon absorption data of ecological zone;According to carbon emission data, determine the carbon emission of urban water system;According to carbon absorption data, determine the carbon absorption of ecological zone;According to carbon emission and carbon absorption, generate control parameters of water facilities and carbon credit list of urban water system.The generated control parameters are more accurate by comprehensively considering the absorption and fixation of ecological facilities in water carbon cycle.Carbon sink capacity is included in water scheduling system by generating carbon credit list from carbon emission and carbon absorption.

This invention relates to an urban drinking water source reservoir protection system, belonging to the field of urban water source protection and ecological governance technology. The system integrates four major units: zoned treatment and separation of clean and polluted water, ecological reservoir-wetland synergy, ecological restoration, and water environment monitoring and early warning. These units are coupled and linked through a control module. The control module includes sub-modules for data perception and fusion, intelligent decision-making and scheduling, and early warning and emergency response linkage, enabling differentiated operation during droughts and floods. It can efficiently intercept pollutants entering the reservoir, purify water quality, enhance rainwater storage capacity, and construct stable biological habitats. It achieves intelligent monitoring of multi-source data and facility linkage, ensuring the safety of urban drinking water sources while balancing ecological protection and urban landscape needs.

The utility model discloses a copper smelting urban water inlet flow monitoring devices relates to water flow monitoring technical field, the utility model discloses a electromagnetic flowmeter still includes: protection mechanism, protection mechanism is used for the protection of electromagnetic flowmeter, locking mechanism sets up at the front of protection mechanism, locking mechanism is used for opening protection mechanism. The utility model discloses through setting up protection shell no.

This invention relates to the field of data processing technology and discloses an intelligent management and control method and system for urban water affairs. The method includes: acquiring multi-source operational data, establishing a water affairs topology model, aligning the multi-source operational data to obtain an observation sequence, performing a consistency determination to identify persistent inconsistencies, identifying inconsistent sub-regions when inconsistencies exist, selecting controllable facilities, generating a control disturbance sequence, and applying a rate-of-change limit, executing the control disturbance sequence and collecting change data, extracting response fingerprints based on the change data and matching them with a preset cause fingerprint template to obtain an inconsistency cause determination result, generating an observation correction quantity and correcting the observation sequence before outputting the situational result when an operating condition is abnormal, generating control command suggestions and outputting the abnormal location range when an abnormal operating condition is detected. This application achieves attribution disambiguation and observation correction or anomaly location, reducing misjudgments and scheduling oscillations, and improving the reliability and efficiency of situational results.

The utility model discloses a kind of urban management water area water quality monitoring devices, including the flange being equipped with in water pipe both ends, the flange is connected with urban water area pipe network, water pipe bottom fixed communication has detection pipe, detection pipe and water pipe communication place are equipped with filter plate, detection pipe inside is equipped with conical rubber plug I, conical rubber plug I one end is equipped with several thimbles, the other end is fixedly connected with guide rod, guide rod passes through detection pipe bottom sealing ring and is fixedly connected with waterproof electric telescopic rod I one end through connecting plate after being movably worn, waterproof electric telescopic rod I other end is fixedly installed on detection pipe bottom plate, and detection pipe one side is equipped with water quality monitor.The utility model is through setting separate detection pipe, reduce the impact of water flow to monitor, simultaneously, set up several thimbles in filter plate side, can be cleaned to filter hole, and the water flow after detection can be sampled storage, to meet the various requirements of technical personnel.