5535 results about "Water source" patented technology

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

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

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

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

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

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

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

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

The invention discloses a 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 discloses a head intelligent irrigation method and system based on mobile water and fertilizer integration, and relates to the technical field of intelligent irrigation, and the method comprises the steps: collecting meteorological data, soil data and growth period codes corresponding to crops, so as to generate a farmland water and fertilizer demand data set; dividing the target farmland area into n sub-areas, performing multi-parameter fusion matching processing on the water and fertilizer demand data set to obtain a feature vector, and inputting the feature vector into a water and fertilizer demand prediction model to obtain the required irrigation amount and the fertilization concentration of each sub-area of the farmland; generating a scheduling instruction set according to the required irrigation amount and the fertilization concentration of each subarea of the farmland, performing water source location movement and water source extraction based on each subset in the scheduling instruction set to obtain an original water body, performing three-stage filtration on the original water body to obtain a target clear water body, and performing mixed optimization treatment to obtain a water-fertilizer mixed solution; and injecting the water and fertilizer mixed solution into the drip irrigation pipe network and executing water and fertilizer irrigation of each sub-region of the farmland.

The invention relates to the field of photovoltaic power generation, and particularly discloses a climate self-adaptive photovoltaic cooling method and system based on interface evaporation, and the system comprises a hydrophilic and hydrophobic composite radiation refrigeration film which is used for capturing atmospheric moisture through a radiation refrigeration effect under a low-radiation condition to form a cooling water source; the bionic water conveying structure comprises a modified silicone tube and a juncus roemerianus bundle and is used for conveying the captured water to the high-level water tank through capillary action; according to the invention, by fusing interface evaporation and radiation refrigeration technologies, the system realizes efficient cooling and energy recovery of the photovoltaic module; under the condition of strong irradiation, the gradient wettability interface evaporation layer takes away waste heat of the module through directional water film flow, so that the temperature of the photovoltaic module is reduced, the photoelectric conversion efficiency is improved, and meanwhile, the daily generating capacity is increased; the cooling effect is obviously better than that of a traditional natural convection or phase change material cooling mode, and efficient heat transfer is achieved through phase change latent heat utilization of interface evaporation.

When the intelligent fire-fighting unmanned aerial vehicle cluster system works, the method comprises the following steps that 1, an intelligent fire-fighting unmanned aerial vehicle cluster detects a fire scene and searches a water source near the fire scene, and an optimal route is searched between the water source and the fire scene to lay a pressurizing water pump and a fire hose; 2, the intelligent fire-fighting unmanned aerial vehicle cluster controls a fire-fighting nozzle to conduct fire extinguishing operation, and the positions of a pressurizing water pump and a fire hose are adjusted according to fire behavior changes of a fire scene; and 3, the intelligent fire-fighting unmanned aerial vehicle cluster performs handover control on a fire-fighting nozzle, a pressurizing water pump and a fire-fighting hose in turn, and fuel oil is supplemented to the pressurizing water pump until fire extinguishing operation is finished. A fire-fighting water supply channel can be laid between a water source and a fire scene at an ultra-fast speed, the fire extinguishing operation speed is high, manual intervention is not needed, and nearly infinite fire-fighting water can be continuously provided.

The invention discloses a quantitative evaluation method and system for leakage of a municipal drainage pipe network, and relates to the technical field of water information processing. A quantitative evaluation method for leakage of a municipal drainage pipe network comprises the following steps that S1, sewage quality samples of all sewage sources of a target sewage plant service area are collected, and the sewage sources comprise raw sewage of the target sewage plant service area and external water of the target sewage plant service area; s2, constructing a stable isotope source feature library of the external water and the raw sewage based on the sewage quality sample; s3, collecting a sewage sample at the water inlet end of the target sewage plant to obtain stable isotope abundance data; s4, on the basis of the stable isotope abundance data and the water source analysis model, obtaining the contribution ratio of each sewage source; and S5, based on the total amount of sewage treated by the target sewage plant and the contribution ratio of the sewage source, obtaining the pipe network leakage amount. Through the scheme, quantitative evaluation of leakage of the municipal drainage pipe network can be realized.

The invention relates to the technical field of water quality detection, and discloses a drinking water source intelligent monitoring method based on artificial intelligence, and the method comprises the steps: S1, a sensor arranged in a drinking water source region collects water quality parameters and hydrological and hydraulic information in real time; s2, on the basis of the collected hydrological and hydraulic information, establishing a pollution diffusion simulation model, when a sensor detects that water quality parameters of any monitoring point are abnormal, carrying out pollution diffusion simulation by taking the current monitoring point as an initial condition, and predicting a future diffusion trajectory and an influence area of pollution; and S3, the generated pollution diffusion trajectory and the influence area are acquired. According to the technical scheme of fusion of the pollution diffusion trend simulation module and the artificial intelligence identification process, the two-dimensional pollution diffusion model is constructed to dynamically simulate the space-time propagation trajectory of the pollutants, and the simulation result is used as a time sequence to assist in inputting the AI model, so that the technical effect of improving the prediction timeliness of the pollution event and the space coverage precision is achieved.

The invention provides a reservoir pressure salinity scheduling method based on a physical information neural network (PINN). The reservoir pressure salinity scheduling method comprises the following steps: Step 1, salinity prediction based on a physical information neural network (PINN) model; the method comprises the following steps: in a PINN model framework, embedding a physical law of salinity conservation into a multi-layer perceptron (MLP) artificial neural network for training so as to carry out salinity prediction; step 2, establishing an estuary water-salt model based on a three-dimensional ocean numerical FVCOM model; step 3, carrying out upstream reservoir salty water pressing and light water supplementing emergency scheduling based on salinity forecast; comprising the following steps: Step3.1, establishing a multi-objective function; and Step3.2, solving a scheduling model. According to the method, the salinity momentum conservation constraint can be considered, the salinity prediction accuracy under the influence of different upstream flows and downstream tidal ranges can be improved, and the emergency scheduling of the reservoir for the salt tide invasion of the estuary drinking water source can be carried out in combination with the scheduling model, so that the water supply safety is ensured.

The invention discloses a regional water supply system optimization scheduling method considering the influence of a salt tide. The method comprises the following steps: S1, constructing a multi-water-source-multi-water-plant-multi-water-demand-area layered water supply topological structure covering a target area influenced by the salt tide; s2, judging a salt tide period according to real-time water quality monitoring data of a reservoir in an area influenced by the salt tide, dynamically adjusting a target function and constraint conditions of the multi-target multi-water-source optimal scheduling model, and preferentially scheduling water sources with safe water quality; and S3, on the basis of the topological structure model constructed in the step S1, by taking the salt tide state in the step S2 as a dynamic parameter, constructing a three-dimensional objective function of'water deficit, salt tide influence and cost difference 'of the multi-objective multi-water-source optimal scheduling model, and solving a Pareto optimal solution set through an improved NSGA-III algorithm in combination with constraint conditions. The method is suitable for collaborative scheduling optimization of the multi-water-source system influenced by the salt tide, and has wide application value in the aspects of improving the water resource allocation efficiency, guaranteeing the water supply safety and the like.

The invention discloses a plug flow type mechanical pressurization cyanobacteria control ship, which belongs to the field of ecological environment governance, and mainly comprises a ship body, an algae collection head, a buoyancy cabin, a water collection tank, a pressurization treatment cabin and a pressurization assembly, the lever principle and the electric push rod are used for pressurizing, so that compared with a mode of directly pressurizing a water body by using an air compressor, a water pump and the like, the treatment energy consumption is low, and the pressurizing speed is higher; through the combined design of the dustpan-shaped algae collecting head, the algae inlet position, the pressurization treatment bin layering and the like, the entering and the discharging of high-algae-content water are realized by utilizing the ship advancing power and the water impeller, the operation energy consumption is greatly reduced compared with the water pump sampling, and the device can be suitable for blue-green algae prevention and control in water areas such as lakes, reservoirs, water sources, landscape water bodies and the like.

The invention discloses a side slope rainwater circulation system based on spongy rainwater utilization, which relates to the technical field of side slope ecological engineering and comprises a water quality monitoring and grading module, a multi-stage water storage processing module, an intelligent irrigation decision module, a water source dispatching and distributing module and a drip irrigation execution module. According to the system, efficient utilization and accurate distribution of slope rainwater resources are achieved through the intelligent water source dispatching and distributing module, the system can dynamically select the optimal water source unit according to real-time water quality monitoring data and water use requests, reasonable distribution of the water resources is ensured through a grading response strategy, and the water resource utilization rate is improved. When the water consumption demand exceeds the available water consumption of a single water storage unit, the system can automatically generate a new water consumption request, water consumption interruption caused by insufficient water sources is avoided, meanwhile, by monitoring the water level of the water storage unit in real time and calculating the safety capacity margin, the system can effectively prevent and control the water level risk, and stable operation of the system is ensured.

The invention relates to the technical field of intelligent agriculture, in particular to an intelligent water-saving irrigation system for intelligent agriculture, which comprises a multi-source heterogeneous sensing module for collecting farmland soil data, crop physiological data, meteorological environment data and irrigation equipment operation state data; the AI dynamic decision-making module constructs a TFT time sequence prediction model, calculates the real-time water demand and the ecological adaptation coefficient of crops by combining a crop physiological coupling algorithm, and dynamically generates a personalized irrigation scheme; the self-adaptive regulation and control module is used for implementing a personalized irrigation scheme and carrying out water, fertilizer and pesticide integrated precise putting and multi-water-source dynamic scheduling through a magnetic control driving mode and a flow closed-loop control algorithm; the irrigation effect feedback module verifies the execution effect of the personalized irrigation scheme in real time, and dynamically executes a feedback optimization action in combination with a preset deviation threshold value; and the block chain data security module performs encrypted storage and access traceability on the irrigation whole process data. Therefore, the problems of insufficient prediction accuracy, insufficient water, fertilizer and pesticide feeding precision and the like in the prior art are solved.

The invention discloses a device and a method for extracting a polluted water layer of a water source in a grading manner. The device comprises a first pipeline, a partition plate, a second pipeline, a water inlet assembly and a pushing assembly, the second pipeline is inserted into the first pipeline, and the first pipeline and the second pipeline are sleeved and fixed; the multiple partition plates are distributed between the first pipeline and the second pipeline at intervals and used for forming a multi-layer liquid cavity, and the liquid cavity is used for storing liquid; the water inlet assembly is slidably arranged outside the first pipeline in a sleeving mode and used for guiding liquid into the liquid cavity. The pushing assembly fixedly sleeves the top of the first pipeline and is used for pushing the water inlet assembly to do linear motion in the length direction of the first pipeline. According to the device, liquid at different depths is isolated, the mixing phenomenon of the liquid at different depths is prevented, and the collection of the liquid at different depths underground is completed.

The invention relates to the technical field of hard rock drilling construction, in particular to a rock breaking hob, a shield tunneling machine cutterhead and a shield tunneling machine. The rock breaking hob comprises a cutter shaft, an annular cutter body and a plurality of pressurizing assemblies; an annular cavity communicated with an external high-pressure water source is formed in the cutter shaft; the annular cutter body is rotationally arranged on the cutter shaft, and a plurality of blind holes are formed in the annular cutter body; the pressurizing assembly comprises a compression block, a plugging block and a first elastic piece; the compression block is in sealed sliding connection with the inner wall of the blind hole to form a compression cavity, and a plurality of first channels used for communicating the compression cavity with the annular cavity are formed in the annular cutter body; a sliding groove, a communicating hole and a water spraying hole are formed in the compression block; the sliding groove communicates with the compression cavity through the communicating hole. The sliding groove communicates with the end face of one end of the compression block through the water spraying hole. The plugging block is slidably connected with the sliding groove and blocks the water spraying hole when located at the end, close to the central axis of the annular cutter body, in the sliding groove. The first elastic piece is used for enabling the compression block to pop out of the blind hole. The rock breaking device has the effects of reducing water source waste and improving the rock breaking efficiency.

The application discloses a reservoir ecological flow allocation method based on multi-section water diversion and multi-target fish collaborative protection, which comprises the following steps: S1, determining a hydrological sensitive area and an ecological sensitive area based on water diversion influence constraints and fish resource distribution data, superimposing the hydrological sensitive area and the ecological sensitive area to construct a habitat evaluation model, determining a key habitat of a typical fish, and further determining a target spawning ground; S2, integrating a two-dimensional hydrodynamic model and a fish habitat model, calculating habitat hydraulic requirements and flow pulse requirements of different fishes in a spawning period, constructing an ecological water demand process in the spawning period, and simultaneously calculating an ecological base flow to supplement basic hydrological requirements in a non-spawning period; and S3, coupling ecological water demand for multiple spawning grounds overlapping in the spawning period, and determining a reservoir ecological flow collaborative allocation scheme. The method is based on the particularity of multi-section water diversion disturbance and multi-target collaborative protection of the west line project water source area, studies ecological water demand of typical fishes, and determines a reservoir ecological flow allocation scheme.

The invention relates to the technical field of agricultural data analysis, in particular to a land reclamation suitability evaluation and cultivated land quality improvement method based on big data, which comprises the following steps of: acquiring and superposing land utilization, soil and elevation data to construct a multi-source land attribute evaluation data set, calculating the distance from a pattern spot to a water source, reconstructing a weight through Gaussian attenuation, and calculating the land utilization, soil and elevation data; the method comprises the following steps: forming a spatial distance weighted feature matrix, extracting a gradient and an irrigation guarantee rate, performing weight reduction on an overrun part of a conflict threshold value, performing linear weighting calculation on a comprehensive score after normalization, dividing a regulation priority area, matching quality improvement measures, and forming a cultivated land quality improvement project layout map. A pattern spot level evaluation basis is formed through multi-source attribute space superposition, water source distance attenuation calculation is introduced to enable weight to change along with reachability, irrigation difference response is enhanced, conflict constraint correction is carried out on gradient and irrigation guarantee, adverse combination influence is inhibited, stable sorting is formed through uniform scale weighting, and the method is applied to the field of irrigation. And improvement priority area identification and quality improvement measure directional configuration are supported.

The invention discloses a rice irrigation district irrigation amount simulation method and system, and the method comprises the steps: taking a region controlled by a backbone channel and a drainage main ditch as a standard for dividing sub-units based on a DEM and a digital canal system, carrying out the grid division of the sub-units, and obtaining an irrigation district sub-basin division result; constructing a dynamic irrigation triggering mechanism of each irrigation area sub-basin, and determining a multi-water-source cooperative scheduling scheme of each irrigation area sub-basin based on the division result of the irrigation area sub-basin; and when each irrigation sub-basin is irrigated according to the multi-water-source cooperative scheduling scheme, calculating the canal system leakage amount in each irrigation sub-basin, and determining a water distribution scheme of each irrigation sub-basin according to the canal system leakage amount. The method can be used for quickly and accurately simulating the irrigation amount and the runoff volume of the rice irrigation area, and provides a scientific basis for formulating agricultural management measures and screening water-saving high-yield technical modes.

The invention discloses a cleaning system. The cleaning system comprises cleaning equipment and a base station; the cleaning equipment comprises an equipment body, a first filtering assembly, a first connector and a second connector. The first connector is used for enabling water flowing through the first filtering assembly to flow out of the first containing space in the cleaning process; the second interface is used for allowing water flow to enter the first filtering assembly in the cleaning process; water flow in a first flow direction generated in the cleaning process sequentially flows through the first opening, the first filtering assembly and the first connector; the base station comprises a base station body and a third interface, and the third interface is suitable for being butted with the first opening or the second interface; water flow in the second flow direction generated in the self-cleaning process sequentially flows through the first connector, the first filtering assembly, the first opening and the third connector; the cleaning system further comprises a power assembly, and in the self-cleaning process, the first connector communicates with a water source so as to provide water flow in the second flow direction. According to the cleaning system, the first filtering assembly does not need to be manually washed and cleaned, and the use convenience of a user is improved.

The invention relates to the technical field of water resource scheduling, and discloses an intelligent water resource configuration and scheduling system and method, and the system comprises a data collection module which is used for collecting the related data of water resources in real time, including but not limited to the water level of a water source, the water quality, the meteorological data, the water demand of a user, and the like; the data processing and analysis module is used for cleaning and integrating the collected data by using a big data processing technology, and carrying out demand prediction and water resource supply and demand matching through an artificial intelligence algorithm; a scheduling decision module, an execution module and a feedback mechanism module. Multi-dimensional data such as water sources and weather are collected in real time, data processing and demand prediction are carried out through the artificial intelligence technology, and it is ensured that water resource scheduling can cope with rapidly-changed demand and supply conditions; through an optimization algorithm and a scheduling decision model, the water resource utilization efficiency is maximized, and the problems of excessive water pumping, resource waste and the like are avoided.

The utility model discloses a cleaning machine. The cleaning machine comprises a water storage container, a water mixing valve, a water outlet assembly and a circulating filtering assembly, the water storage container is provided with a first water cavity and a second water cavity, the first water cavity is used for being communicated with an external hot water source, and the second water cavity is used for being communicated with an external normal-temperature water source; the water mixing valve is respectively communicated with the first water cavity and the second water cavity; one end of the water outlet assembly is communicated with the water mixing valve, and the other end of the water outlet assembly is used for being communicated with a water using end; the circulating filtering assembly is provided with a water suction end and a connecting end, the connecting end is communicated with the second water cavity, and the circulating filtering assembly is used for sucking water used for washing or other water sources through the water suction end, filtering the water or other water sources and then conveying the water or other water sources into the second water cavity. The cleaning machine provided by the utility model has high utilization rate of water resources.

The embodiment of the utility model provides an ice-making device and a water dispenser, the ice-making device comprises an ice-making box and a quantitative distributor, the quantitative distributor is provided with a water storage cavity, the quantitative distributor is communicated with the ice-making box and a water source, the ice-making box has a first state and a second state, in the first state, the ice-making box makes ice, in the second state, the ice-making box does not make ice, and in the third state, the ice-making box does not make ice. The ice making box is communicated with the water storage cavity, and the water storage cavity is disconnected from the water source; and in the second state, the ice making box turns over to take ice, the water storage cavity is communicated with the water source, and the water storage cavity is disconnected from the ice making box. The embodiment of the utility model aims at optimizing the water replenishing operation of the ice making box to improve the efficiency of the water replenishing operation, so that the use experience of a user is improved.

The invention discloses an ecological bank protection intelligent irrigation control system and method based on multi-source data fusion, and relates to the field of irrigation control. Soil moisture content data is collected in real time, meteorological and vegetation growth information is combined, an irrigation strategy is dynamically adjusted through a prediction model, and accurate matching of vegetation water demand and water supply is ensured; meanwhile, sonar echoes are used for constructing underwater digital twin bodies, the state of a fish nest channel is monitored in real time through image recognition, when blockage is detected, the system immediately triggers a cleaning mechanism and synchronously optimizes an irrigation threshold value, and it is avoided that vegetation irrigation is affected due to the fact that water quality is affected by blockage; in the cleaning process, the main operation machine efficiently dredges the channel through rotary cleaning and water flow scouring, and the cleaning effect is verified in real time by means of digital twin bodies; in addition, the system further guarantees the irrigation continuity by presetting the cleaning time limit and a standby water source switching mechanism, effectively prevents the risk of bank slope instability, and remarkably improves the durability and ecological stability of the bank protection structure.

The utility model provides a cooling system of a coal mining conveying device for an underground coal mine. The cooling system comprises a water pump, an inlet end of which is connected to a motor and a speed reducer water jacket in the coal mine conveying device through a pipeline; one end of the air-water radiator is connected to the outlet end of the water pump through a pipeline; each electric three-way valve comprises a port A, a port B and a port C, the two electric three-way valves are arranged in the system, and the ports A of the two electric three-way valves are connected with each other; ports B of the two electric three-way valves are connected through the heat exchanger. The heat dissipation system of the coal mining conveying device for the underground coal mine solves the problems that existing equipment seriously depends on an external low-temperature water source, has certain potential safety hazards and cannot be used in an occasion with the high water source temperature, and has the advantages that the external water source does not need to be additionally connected, and water cannot be drained to the outside; and environmental damage and pollution to the working face can be reduced.