146 results about "Water demand" patented technology

The present application relates to the technical field of air conditioners, and particularly relates to an air conditioner control method and device, a multi-connected air conditioner and a storage medium, the present application determines the target heat recovery mode of the multi-connected air conditioner by judging the water tank temperature of the hot water tank, the heating energy demand and the total energy demand of each air conditioner indoor unit obtained when the multi-connected air conditioner simultaneously exists refrigeration and heating water demand, and then adjusts the communication state of the reversing device and the throttling element according to the target heat recovery mode, so as to achieve the purpose of simultaneously operating refrigeration and heating water by one heat pump system, and heat the water tank by the waste heat of air conditioner refrigeration, thereby avoiding the technical problem that the heating and heating water in the prior art multi-connected air conditioner are not simultaneously performed, and improving the use experience of the user.

The application discloses a method and related equipment for reconstructing a canal system based on farmland irrigation capacity, and the method comprises the following steps: acquiring various water source data, canal network data and farmland plot data of a target area; constructing a weighted directed graph based on the various water source data, canal network data and farmland plot data; calculating the network reachability, water supply adequacy and water demand pressure reciprocal of each farmland plot according to the weighted directed graph, and then calculating the comprehensive irrigation capacity index of each farmland plot; determining a farmland plot to be reconstructed based on the comprehensive irrigation capacity index of each farmland plot; and solving a preset planning model with the minimum total reconstruction cost as the target based on the farmland plot to be reconstructed and the comprehensive irrigation capacity index of the farmland plot to be reconstructed, so as to obtain a canal system reconstruction scheme. The application can realize quantitative trade-off between irrigation benefits and investment costs, thereby maximizing the overall improvement benefits of the irrigation system under the limitation of the investment cost budget, and can be widely applied to the field of agricultural water conservancy technology.

This application provides a method for optimizing the tiered drought limit water level during the flood season, taking into account both supply and demand. It obtains the downstream control station of the target river channel, tiered water supply demand, initial tiered outflow parameters, and target tiered outflow parameters. Based on a preset low-water inflow sample and the target tiered outflow parameters, it calculates the initial tiered drought limit water level of the upstream reservoir during the flood season. It determines the drought resistance capacity parameters on the supply side based on historical reservoir operation data, and determines the target tiered drought resistance flow gap parameters on the demand side based on the actual outflow and the target tiered outflow parameters. Simultaneously, it determines the risk value of flood control loss conditions based on the reservoir's flood season operating water level and the river's excess discharge. A scheduling simulation model is constructed to perform multi-objective optimization of the initial tiered drought limit water level during the flood season, resulting in a target tiered drought limit water level that balances both supply and demand. This method is adaptable to complex hydrological scenarios such as flood season reversals and rapid shifts between flood and drought, and can collaboratively ensure downstream tiered water demand, reservoir drought resistance capacity, and flood control safety.

The utility model provides a kind of water purification device, it includes: reverse osmosis water waterway, it includes front filter element, reverse osmosis filter element and reverse osmosis water waterway component;Ultrafiltration water waterway, it includes ultrafiltration filter element and ultrafiltration water waterway component;Wherein, the water purification device further includes post filter element, the water outlet of the reverse osmosis water waterway with the water outlet of the ultrafiltration water waterway communication back with the post filter element communication;Wherein, the water purification device includes at least including three kinds of mode: first mode, the ultrafiltration water waterway does not water, the reverse osmosis direct drinking water way water;Second mode, the reverse osmosis water waterway does not water, the ultrafiltration water waterway water;Third mode, the reverse osmosis direct drinking water way and the ultrafiltration direct drinking water way water respectively.By the present application can provide a variety of different purification degree direct drinking water, while saving cost meets the various water demand of customer.

The present application relates to the technical field of ecosystem evaluation, and more particularly to a sand land ecosystem water resource carrying capacity dynamic prediction and evaluation system and method. The method comprises the following steps: collecting basic data of a sand land region; determining the regional water resource supply capacity and the regional water demand according to the basic data of the sand land region; constructing a water resource carrying capacity evaluation index system according to the regional water resource supply capacity and the regional water demand; inputting the basic data of the sand land region into the water resource carrying capacity evaluation index system to evaluate the water resource carrying capacity state of each time node; comparing the water resource carrying capacity states of each time node, calculating the carrying capacity change amplitude between adjacent time nodes, and combining the corresponding GCMs grid points of the sand land region to predict the change of the water resource amount of the sand land region. The present application helps to realize the scenario prediction of the water resource amount under different climates and underlying surface conditions, and improves the dynamic identification ability of the water resource carrying capacity of the sand land ecosystem.

The application discloses a kind of arid region reservoir water and sand prediction and coordinated regulation potential evaluation method and system, belong to water resources, silt treatment and reservoir optimization scheduling technical field.The technical problems of traditional model prediction accuracy insufficient caused by arid region hydrology data scarcity, water and sand prediction process is fragmented and reservoir desilting and silt reduction and water storage benefit difficult to be synergistically optimized, its gist is that: long short-term memory network is used to predict future runoff sequence by fusing attention mechanism, and the sediment concentration is calculated by combining the water and sand relationship formula;By setting the critical sediment concentration threshold, the high sediment concentration period is identified and the available water for dredging is calculated;At the same time, the flood resource potential is evaluated by combining reservoir capacity and water demand constraints;Finally, the coordinated scheduling scheme is generated by comparing the two potentials.The application realizes the integrated accurate prediction of water and sand process in arid region and the simultaneous quantitative evaluation of regulation potential, and provides intelligent decision support for multi-objective optimization scheduling of reservoir.

This invention relates to a multi-agent collaborative management method and system for water data governance, belonging to the field of water data governance technology. It includes: constructing a data asset management agent, a quality diagnosis agent, and a conversational analysis agent, and setting a standardized decision-making process; building a structured message queue; when water demand processing data is received, the data asset management agent analyzes the water demand processing data to generate water management data and sends it to the message queue; when the quality diagnosis agent listens for water management data in the message queue, it retrieves the water management data, analyzes it, generates governance strategy instructions, and sends them to the message queue; combining the conversational analysis agent and the governance strategy instructions, it determines governance adjustment instructions and executes the governance adjustment instructions. This invention improves the overall efficiency of water data governance and shortens the average problem resolution cycle.

The utility model belongs to the technical field of pet supplies, and particularly relates to a pet water drinking device which comprises a top water pool, a middle water basin, a splash-proof water bowl, an electric cabinet and a water tank, the top water pool and the middle water basin are arranged in a separable mode, and the middle water basin can be used independently. The middle water basin is connected with bottled drinking water through a screw or a bayonet to form the physical automatic water dispenser; the top water tank can realize different water shapes and water states by adjusting the position; the device adopts a water-electricity separation design; the splash-proof bowl is used for preventing water from splashing out when a pet drinks water, the problems that an existing pet water drinking device is single in function, lack of individuation, high in transportation cost, inconvenient to clean and the like are solved, through diversified design, the water drinking requirements of different pets are met, the water drinking experience of the pets is improved, and the water drinking health of the pets is guaranteed.

This invention discloses a water-energy coupled water resources planning method, apparatus, equipment, and medium. The method includes: collecting and processing historical index values ​​corresponding to water demand prediction for each water-using sector to obtain the upper and lower limits of each index for the planning year, and inputting them into a trained water demand prediction model to obtain the water demand interval prediction results for each water-using sector; collecting and preprocessing historical water resource availability and energy availability data; constructing a water-energy system coupling risk analysis model based on the Copula function to quantitatively analyze the coupling risk of the water-energy system, and setting four coupling risk scenarios: low, medium-low, medium-high, and high; constructing a multi-objective interval stochastic chance constrained programming model, which is decomposed into two deterministic sub-models; solving the two deterministic sub-models using a hybrid intelligent algorithm, and integrating the solution results to obtain and output the regional water resources optimization allocation results adapted to the four risk scenarios of low, medium-low, medium-high, and high.

The utility model discloses a kind of terrazzo ground polishing electric waste slurry centralized recovery devices, it is related to terrazzo waste slurry recovery technical field, including wall, the top of wall is fixedly connected with floor, and the side of wall is provided with filter assembly and reflux component.The terrazzo ground polishing electric waste slurry centralized recovery device is recycled waste liquid by starting material pump, is guided by waste water collecting pipe and outlet head, so that waste liquid flows into three sedimentation tanks in turn, first U-shaped screen in first sedimentation tank filters sedimentation large particle impurities first, and the remaining waste liquid flows into second sedimentation tank and is further filtered by second U-shaped screen, finally, in third sedimentation tank, depth purification is carried out by third U-shaped screen, finally waste water flows into clean water tank and is stored, realize waste liquid efficient recovery and purification, by starting submersible booster pump, the water of clean water tank can be quickly extracted, is transported to the top of floor by clean water upcomer, satisfy water demand, convenient and efficient.

The application discloses a method and system for calculating design flow of irrigation channel considering peak shaving effect of local water source. The method comprises the following steps: obtaining design irrigation area, comprehensive irrigation quota, design irrigation guarantee rate, irrigation water use coefficient of the irrigation channel, and basic conditions and runoff data of the local water source project; selecting a plurality of continuous time periods in a design irrigation typical year as irrigation peak time periods; calculating total irrigation water demand in the time periods; determining the local water source project participating in peak shaving and calculating total available water supply of the local water source project; calculating a peak shaving correction coefficient according to the total water demand and the total available water supply, and correcting the available water supply of the local water source in each sub-period in the peak time periods according to the peak shaving correction coefficient; and determining the design flow of the irrigation channel according to the corrected available water supply of each sub-period and the corresponding irrigation water demand. The application considers the peak shaving effect of the local water source on the backbone channel, has the advantages of wide applicability, clear guarantee rate concept, and the ability to solve the problem of double peak of joint dispatching water supply, and can provide a basis for irrigation district planning and design.

A rainwater utilization method and system based on a sponge city, a medium and a product, relate to the technical field of sponge cities. The method comprises: obtaining the air conditioning cooling water demand and the low water quality water demand of a current scheduling period of a commercial complex; based on weather data of the current scheduling period, combining the catchment area and the runoff coefficient of the commercial complex, calculating the predicted rainwater inflow; determining the predicted water storage of the current scheduling period; obtaining the water demand and the predicted water storage of the next scheduling period; when it is predicted that the water quantity of the next scheduling period is insufficient, executing a rainwater conservation strategy in the current scheduling period, including calculating the minimum cooling water demand and the minimum irrigation water demand of the greenbelt, prioritizing the predicted water storage to meet the minimum water demand, and storing the remaining water storage to the next scheduling period. The present application solves the problem that the fixed water level grading based static scheduling method cannot cope with the fluctuation of water demand through forward-looking prediction and dynamic conservation strategy, and realizes efficient utilization of rainwater resources.

The utility model discloses an automatic irrigator that can induct crop water demand, including water delivery pipe and a plurality of branch pipes set on the conveying pipe, the branch pipe is provided with solenoid valve, the branch pipe is provided with the shunt pipe on one side away from water delivery hose, the bottom of shunt pipe is provided with a plurality of equidistance distribution's irrigation head. The utility model discloses, through the real -time feedback soil moisture state of soil humidity detection stick, through the threshold value of soil sensor setting, when soil humidity is less than the set threshold value, just opens the solenoid valve on the corresponding branch pipe, and irrigates, when soil humidity is enough greater than the valve value, can stop in time, avoid excessive irrigation, and the setting of shunt pipe makes the moisture uniform infiltration in the soil of the pot culture, avoids partial overwetting or drought, and water delivery pipe can be connected with a plurality of branch pipes, and can automatically irrigate a plurality of crops, and the pot along the clamp plate is convenient for integrating and fixing the controller, solenoid valve, sensor at the edge of flowerpot, reduces the space occupation, is suitable for the compact scene such as family pot culture.

This invention discloses a collaborative adaptive scheduling method for pumping stations and sluice gates based on multi-source data, belonging to the field of smart water conservancy automation control technology. The method includes the following steps: pre-extraction of situational feature parameters, including real-time collection of meteorological and rainfall forecast data, upstream water level, downstream water level, inflow into the reservoir and river, equipment operating status data, and downstream water demand commands; and construction of a comprehensive evaluation function S. This invention significantly improves the predictability and timeliness of flood control scheduling, effectively avoiding flood risks caused by sudden hydrological events. Furthermore, by setting a smoothness penalty term and a stability constraint on the actuator in the objective function, it achieves gradual adjustment of gates and pumping stations, completely solving problems such as water hammer effect and river scouring damage caused by excessively rapid actions in traditional control, ensuring the stability of water flow and the service life of water conservancy facilities.

The invention discloses a crop irrigation short-term prediction method and system based on fuzzy control, and relates to the technical field of intelligent agriculture and irrigation control, and the method comprises the steps: collecting weather, multi-depth soil moisture content and field time sequence data of a crop growth stage, and obtaining irrigation feedback; processing the data, and inputting a time sequence prediction model to output water demand prediction values of one to three days and confidence obtained by mapping historical verification errors; fuzzifying the water demand predicted value, the real-time root zone moisture content and the growth stage index, performing weighted deduction and fuzzification based on a fuzzy rule base with a rule dynamic weight, and outputting planned irrigation duration or irrigation amount; and calculating the actual water consumption and updating the dynamic weight of the rule in the post-irrigation evaluation time window according to the water balance and the root zone soil moisture reserve variation. Through confidence risk suppression and post-irrigation closed-loop self-tuning, the stability of short-term prediction driving irrigation decision is improved, the over-irrigation and over-seepage risks are reduced, and the utilization efficiency of irrigation water is improved.

This invention relates to the field of centrifugal pump technology, and in particular to a multi-stage centrifugal pump capable of changing operating modes. It includes: a power unit, a low-lift pump, a high-lift pump, and a pump shaft; the low-lift pump is internally connected to the outlet of the high-lift pump via a low-lift cooling water circuit; the low-lift pump casing has a low-lift vent; the high-lift pump internally is connected to the outlet of the low-lift pump via a high-lift cooling water circuit; the high-lift pump casing has a high-lift vent. Both the low-lift and high-lift pumps are connected to the same power unit. When using centrifugal pumps for water pumping, the system can flexibly select between the low-lift and high-lift pumps based on the height of the water demand location, thereby ensuring the water flow rate. Adjusting the centrifugal pumps ensures that they are always operating under optimal conditions, maintaining the optimal water supply while preventing motor overload.

This utility model discloses a greywater supply system, including a water storage tank. The inlet of the water storage tank is connected to an inlet pipe, and the outlet of the water storage tank is connected to a supply pipe and a return pipe. The supply pipe includes a first automatic valve, a controllable check valve, and a pressure sensor, arranged sequentially downstream of the connection point of the supply and return pipes. The return pipe includes a second automatic valve, located downstream of the connection point of the supply and return pipes. The supply pipe connects to a water usage point, and the return pipe connects to the return port of the water storage tank. This utility model, by installing a pressure sensor and a first automatic valve on the supply pipe and a second automatic valve on the return pipe, allows the pressure sensor to detect water demand. When water demand is present, the second automatic valve can shut off the return pipe, thus preventing water from flowing back through the return pipe and affecting the supply pressure of the supply pipe, effectively ensuring the water pressure at the water usage point.

The application discloses a gas water heater and a control method thereof, and relates to the technical field of gas water heaters, which can meet the zero-cold-water demand of a user and ensure the normal work of a water purifier. The gas water heater comprises a processor, which is used for determining the installation position of the water purifier and setting a temperature threshold T th ; in the case that the installation position of the water purifier is determined to be a backwater pipeline, it is determined that the temperature threshold T th , the working temperature Tc of the water purifier and the preset heating temperature Ts of the gas water heater satisfy T th <Tc and T th <Ts; a zero-cold-water instruction is received, the waterway temperature of a water inlet joint is obtained according to the zero-cold-water instruction, and if the waterway temperature is less than or equal to the temperature threshold T th , a burner is started to start the zero-cold-water mode. The control method of the gas water heater is used for controlling the above-mentioned gas water heater.

This invention discloses a method and system for intelligent prediction and dynamic scheduling of irrigation district water resources based on multi-source model fusion, belonging to the field of water conservancy informatization. The method achieves prediction of inflow floods and various types of water demand through multi-source data acquisition and preprocessing, and multi-model fusion. It generates scheduling schemes through intelligent evaluation and decision-making, completes coordinated control of gates and pumps and engineering safety early warning, and combines visualization display and intelligent safety monitoring. It also conducts full lifecycle management and dynamic optimization of the entire model. The system includes corresponding modules for data processing, multi-source prediction model layer, intelligent evaluation and decision-making model layer, intelligent control and early warning, visualization display, safety monitoring, and model management, with each module operating collaboratively. This invention achieves intelligent scheduling of irrigation district water resources throughout the entire process, improves prediction accuracy and water resource utilization efficiency, has strong drought and flood prevention capabilities, and exhibits good model versatility and scalability, making it suitable for intelligent management of various irrigation districts.

This utility model discloses a root-sensing drip irrigation tape, belonging to the field of irrigation equipment. It includes a water guide pipe, with a drip irrigation plate fixedly connected to its lower end. Multiple fixed cylinders and multiple sprinkler heads are fixedly connected to the lower end of the drip irrigation plate, arranged in a staggered pattern. Multiple micro-holes are opened at the outer end of the fixed cylinders, and multiple water passage holes corresponding to the sprinkler heads are opened in the middle of the drip irrigation plate. Liquid-guiding cotton is placed inside the fixed cylinders and embedded in the lower end of the drip irrigation plate. Perforations are opened in the inner wall of the water passage holes, and a sealing gasket is slidably connected within the perforations. Sensing cotton is fixedly connected between the sealing gasket and the liquid-guiding cotton. This allows the sensing cotton to absorb water, causing it to expand and push the sealing gasket to block the water passage holes, preventing over-irrigation. When water is scarce, the sensing cotton contracts, causing the sealing gasket to retract and opening the water passage holes to replenish water. This allows for precise matching of the real-time water demand of the plant roots, reducing ineffective water consumption and significantly saving water resources.

The application discloses a water resource allocation analysis and decision-making method based on multi-target cooperative optimization, belongs to the technical field of multi-target optimization based on machine learning, and comprises the following steps: collecting multi-source heterogeneous water resource data for pretreatment; based on a federal pulse learning framework, a hybrid mechanism network model is constructed, pulse threshold coding is performed on multi-source heterogeneous data tensors, and sparse excitation-lateral inhibition double-loop feature extraction and pulse consistency weighted federal aggregation are performed; a multi-factor optimization mechanism is introduced, a knowledge transfer enhanced multi-target snake vulture optimization algorithm is improved, and daily water demand prediction values are subjected to multi-source multi-user cooperative allocation optimization; a multi-scenario allocation scheme set is objectively weighted and closeness degree sorting is performed; and the allocation schemes at the forefront in each scenario are decomposed and coded and are sent to an executing mechanism for water quantity control. The application aims to realize intelligent generation of multi-target optimization allocation schemes and provide efficient optimization schemes for water resource allocation.

The application provides a kind of urbanization threshold determination method based on multi-objective optimization under water resource constraint, which determines water intensity under different efficiency scenarios through panel quantile regression, reduces the subjective setting degree of water demand parameters, and improves the accuracy of water demand parameter identification under different efficiency states.In addition, urban population, added value of the secondary industry and added value of the tertiary industry are taken as decision variables, and a multi-objective optimization function is constructed under the constraints of water resource rigidity, urban development boundary and variable boundary, realizing the collaborative solution of the relationship between urbanization scale expansion and water resource constraint.The scheme determines the urbanization threshold range based on the multi-objective optimal solution set, combined with ideal point distance identification, inflection point identification and marginal cost jump verification, which can more truly reflect the multi-objective trade-off relationship between non-agricultural comprehensive output, water resource pressure and regional development imbalance, and improve the stability and planning applicability of threshold identification.

The application discloses a photovoltaic cleaning path and water quantity scheduling method and system based on turbidity feedback, and belongs to the technical field of photovoltaic power station operation and maintenance. The method generates a panel-level pollution list by collecting photovoltaic panel surface images and panel optical signals, determines panel-level target water quantity by using a preset mapping table, generates a batch water consumption budget table and a panel-level water distribution table in combination with water tank capacity, and plans an operation path with the start and end points as the water supplement positions. The turbidity and water quantity of the backflow water are collected in real time during the cleaning process, and the cleaning standard is determined according to the comparison with the turbidity threshold value. The residual water quantity of the photovoltaic panel reaching the standard in advance is recovered, and the residual water of the batch is updated. The water influence degree and panel-level water demand of the photovoltaic panel not reaching the standard are calculated, and the re-cleaning object is selected and inserted into the re-cleaning path under the constraint of the batch water allowance. The application realizes fine panel-level water control and re-cleaning optimization scheduling, improves the unit water quantity utilization efficiency and the cleaning standard rate, and reduces the labor participation and operation and maintenance cost.

A concentrated water treatment device for methanol-to-olefins (MTO) belongs to the field of methanol-to-olefins technology. The concentrated water treatment device consists of a wastewater stripping system, a concentrated water recycling system, and a concentrated water treatment system. The wastewater stripping system comprises a water mixing tank, a wastewater feed pump, inlet and outlet heat exchangers, a wastewater stripping tower, a reboiler, and a purified water pump. The concentrated water recycling system comprises a cooler, a reflux tank, and a concentrated water reflux pump. The concentrated water treatment system comprises a concentrated water storage tank, a mixed oil tank, and a mixed oil delivery pump. This invention adds a concentrated water treatment system, allowing the treated concentrated water to be returned to the system for further recycling, while the generated mixed oil is delivered externally, improving the economic efficiency of the unit. It optimizes the wastewater stripping tower system process, ensuring the stripping effect of the wastewater stripping tower and reducing energy consumption. The treated concentrated water ensures the quality of the purified water, meeting the water requirements of downstream units. It reduces the amount of grease generated in the alkaline washing tower of the separation unit, indirectly reducing the amount of grease inhibitor injected.

This invention relates to the field of machine learning technology, specifically to a method for calculating soil water distribution based on function fitting and mathematical integration. The method includes the following steps: discrete data is generated by collecting voltage and three-dimensional coordinates; a soil state function is fitted via regression; the radial dry density is analyzed and the dominant direction is selected; a directional integral sequence is generated based on normal distance attenuation; the density difference between adjacent coordinates is calculated and connected point sets are extracted to generate structural weights; the soil state, water demand, and weight integration are coupled to obtain the water distribution calculation result; and optimized scheduling sequences are generated by smoothing out boundary regions. In this invention, discrete states are formed by splicing sensor electrical signals and three-dimensional coordinates; the soil state function is fitted via spatial regression; directional attenuation and density connectivity extraction characterize the extension trend and structural weights; and Gaussian integration couples soil state and water demand information. The water distribution result is more suitable for non-uniform distributions, smooths out boundary regions, and improves the targeting of spraying scheduling.

The present application relates to the field of ecology, water resources management and remote sensing technology, and provides an integrated estimation method and device for ecological water demand and water supplement. The method comprises: performing deviation correction or fusion processing on precipitation, evapotranspiration and soil moisture content data respectively; determining a reference evapotranspiration based on the obtained consistent driving field and constructing a baseline vegetation correction coefficient, performing residual correction on the correction coefficient under the condition of no water stress, and determining the ecological water demand according to the corrected vegetation correction coefficient and the reference evapotranspiration; inputting the consistent driving field, the ecological water demand and the remote sensing vegetation observation information into multiple discrimination gates, performing logical operation on the discrimination results, and dividing each pixel into a multi-level water supplement priority label; determining the total loss term based on the consistent driving field, the ecological water demand and the water supplement priority label, and determining the ecological water supplement. The problem that the ecological water supplement accounting in the prior art is difficult to meet the water conservation constraint and is prone to systematic bias is solved.

The application provides a reservoir group water demand prediction and joint optimization scheduling method and system, and relates to the technical field of data processing. Through dynamically combining real-time change parameters such as inflow, initial storage, power generation output, crop growth stage, industrial water-saving link, fine prediction of reservoir cumulative storage, power generation water demand flow, irrigation predicted water demand and industrial predicted water demand is realized. By comprehensively comparing different types of water demand, a larger value is taken as the comprehensive water demand. In the joint scheduling link, from downstream to upstream scheduling strategy, combined with multiple constraint conditions such as water supply priority, water temperature and comprehensive water demand, the scheduling decision of the reservoir group is more scientific and reasonable. The joint scheduling mechanism considering multiple factors can better balance different water demand, improve water resource utilization efficiency, effectively cope with the complexity and uncertainty in water resource allocation, and provide more reliable protection for the optimized operation and multi-objective scheduling of the reservoir group.

The application belongs to the technical field of alternate irrigation, and particularly relates to a water and fertilizer integrated irrigation method, system and device, which comprises the following steps: dividing ridge furrows into two irrigation areas according to odd and even numbers; obtaining crop growth information to formulate an irrigation scheme; selecting an initial irrigation area to perform irrigation according to soil humidity and a preset critical humidity; calculating a basic irrigation period and correcting the target irrigation period through soil permeability, combining rainfall forecast to make a forward decision to determine the next round of irrigation time; and performing irrigation according to actual rainfall and current soil humidity after reaching the scheduled time. The application realizes alternate irrigation through odd and even partition, calculates the irrigation period by using the principle of soil water balance, makes a forward decision and closed-loop verification by combining rainfall forecast and actual soil moisture, and fully utilizes natural rainfall while reducing the number of artificial irrigation on the premise of guaranteeing the water demand of crops.

The application discloses a kind of intelligent precision spraying control method and system for smart garden, its method includes the following steps: S1: multi-source environment and equipment state perception: collection garden environment parameter, vegetation state parameter and spraying equipment operating parameter, and constructs environment state vector.The application realizes the dynamic precision control of different space unit spraying water volume by multi-source environment and equipment state fusion perception, garden area spatial differentiation modeling, intelligent prediction of water demand and wind field and evaporation loss compensation mechanism, and forms closed-loop control system in combination with spraying effect feedback and self-learning optimization, so that spraying decision is changed from static experience rule to data-driven adaptive strategy, still can maintain stable, accurate irrigation effect under complex and changeable meteorology and growth environment, significantly improve water resource utilization efficiency and intelligent level of garden maintenance.