1307 results about "Water conservation" patented technology

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 relates to the technical field of intelligent control, and discloses a water-saving fertilization variable control method suitable for sandy soil, and the method comprises the steps: obtaining collection data based on a sensor; and establishing and updating an infiltration-storage-leaching loss prediction model of the sandy soil according to the collected data, performing state estimation on soil moisture and nutrient states, and calculating root layer moisture deviation, fertilizer concentration deviation and deep seepage risk. And executing model predictive control in the rolling time domain to obtain a control result. And executing water-saving fertilization operation according to the control result. In the execution process, the soil volume moisture content, the soil water potential, the soil conductivity and shallow layer leakage observation data are fused, the prediction model is corrected, the control result is dynamically adjusted according to the correction result, and when the environment wind speed exceeds a set threshold value, the spray irrigation parameters are corrected. The fine level of control is improved, deep layer leakage can be inhibited under the sandy soil condition, water and fertilizer balance of a root layer is guaranteed, and external disturbance is coped with.

The invention discloses an intelligent agricultural water-saving irrigation system and a control method, and relates to the technical field of agricultural irrigation. Comprising the following steps: a land area planning module performs equal-area division on a farmland, sets a detection node array, and monitors water retention conditions of different soil depths; the moisture gradient characterization module calculates the vertical moisture gradient and the direction of the vertical moisture gradient of the evaluation area in real time through edge calculation. And the irrigation water amount correction module fuses and generates a target water-holding capacity based on the leaf stomatal conductance signal and the moisture gradient. The irrigation circulation termination control module uses pulse type infiltrating irrigation, and sets double termination conditions of the water-holding capacity change rate and the permeability. The closed-loop feedback adjustment module detects the soil water content after irrigation, characterizes the water leakage risk and feeds back and adjusts the irrigation water amount, closed-loop control is formed, and effective utilization of water resources is ensured.

The invention relates to an inter-basin water saving amount transaction and scheduling optimization method, which comprises the following steps of: performing dynamic contrast analysis on water saving behaviors and water resource response on the basis of historical water consumption behaviors, resource regulation and control records and meteorological basic data, judging the autonomy and continuity of the water saving behaviors, and obtaining the right-confirmable water saving amount; according to the watershed water resource tension degree, the water ecology sensitivity and the water transfer cost, a cross-watershed conversion rule is adopted, a conversion scale factor is set, and resource value transverse butt joint of water saving behaviors of different areas is achieved; calculating the flow attenuation, the regional bearing threshold and the water quality compatibility in the allocation path based on the water-saving amount obtained by the water-saving transaction, and determining the available transmission range and the sustainable allocation amount of the water-saving amount; and according to the distribution of the water-saving quotas and the corresponding value grades, carrying out combined screening according to the use priority, the basin compensation relationship and the space-time adaptation requirements, outputting a resource allocation scheme, and forming a cross-basin water-saving-quantity-driven water resource optimal allocation structure.

The invention discloses a high-water-saving accurate drip irrigation optimization method based on a population algorithm. The method comprises the following steps: S1, constructing a comprehensive input data set; s2, forming a multi-dimensional collaborative vector coding set; s3, constructing a multi-objective optimization model; s4, generating an initial improved shark search algorithm population; s5, in a global exploration stage, forming an evaluation result data set; s6, in a local development stage, recording a current optimal multi-target solution; s7, decoding the multi-dimensional collaborative vector code corresponding to the current optimal multi-target solution into a drip irrigation pipe network implementation data set and an irrigation scheduling implementation data set; and S8, generating an irrigation control instruction set based on the drip irrigation pipe network implementation data set and the irrigation scheduling implementation data set, and executing partition irrigation operation. According to the method, the pipe arrangement rationality and the water resource utilization efficiency can be optimized at the same time, and higher convergence and generalization ability are shown in complex terrains and heterogeneous crop distribution environments.

The invention discloses a garden partition intelligent water-saving irrigation regulation and control system based on the Internet of Things, and belongs to the field of irrigation regulation and control systems. According to the system, a basic water demand model containing static characteristics of plants, soil and the like is established for each subarea through a central processing controller, real-time environment data and weather forecast are fused, and future irrigation water demand and optimal time are calculated in a prospective mode. The core innovation of the method lies in that after irrigation, the system performs feedback iterative optimization on a basic water demand model by comparing the efficiency deviation of the actual change and the predicted change of the soil humidity to form a self-learning closed loop. According to the method, conversion from passive response to active prediction is achieved, the method has the advantages of being accurate, prospective and self-adaptive, the method can continuously adapt to environmental changes, and the intelligent level and the water saving effect of irrigation are remarkably improved.

The embodiment of the invention discloses a method for intelligently assisting in reviewing a water conservation scheme of a water and soil conservation production and construction project, and the method achieves the intelligent feature matching of a new scheme and similar cases through the construction of a tagged knowledge base integrating historical cases of multiple industries, so as to recognize the generality compliance. A double-engine review mechanism is adopted, a form review module automatically checks document structure integrity and format specifications, and a logic review module executes cross-chapter data consistency check and business logic compliance analysis and highlights and positions error positions in a document. And recording decision logic in real time to form a feedback closed loop. And dynamically optimizing case library matching weight and recognition rules based on high-frequency error statistics and expert correction records. The modes of positioning review key points to chapters and sections, describing specific requirements of each review key point in a language, adding a check formula among data to review content needing to be calculated, determining a check type to which each review key point belongs, and the like are adopted, and the model is trained more clearly, so that the model has relatively professional review ability.

The invention relates to the technical field of environmental assessment, and provides a plateau region soil erosion attribution method, system, medium and equipment, and the method comprises the steps: calculating the soil erosion rate of each calculation unit in a research region through a soil erosion model based on multi-source geographic space data; the soil erosion rate is a product of a rainfall erosivity factor, a soil erodibility factor, a slope length gradient factor, a vegetation coverage management factor and a water and soil conservation measure factor; a rainfall erosivity factor, a soil erodibility factor, a slope length and gradient factor, a vegetation coverage management factor and / or a water and soil conservation measure factor are used as key driving factors, and the control degree of the key driving factors on the soil erosion rate change is calculated by adopting a logarithmic mean Dewei index method; wherein the control degree sets a weighting coefficient for each calculation unit in the calculation process, and the weighting coefficient is constructed based on the difference between each calculation unit and the preset reference region. And the independent contribution of each factor to the erosion change can be accurately separated.

The invention provides an irrigation district reservoir and canal system water resource joint optimization scheduling method and device based on partition decoupling, and the method comprises the steps: obtaining the topological information of a target irrigation district reservoir and canal system, carrying out the irrigation division, and determining the water supply and demand of a future time period; based on the topological information, aggregating and generalizing each reservoir and channel in the irrigation area reservoir and channel system into a plurality of aggregated reservoirs and aggregated channel systems according to a coupling relationship, and dividing the target irrigation area reservoir and channel system into a plurality of subareas; channel water distribution flow feasible regions of different types of aggregation channel systems are deduced step by step from bottom to top from the last-stage channel; a double-layer water resource joint optimization scheduling model is established, the upper layer takes the maximum sum of the ratio of the water supply amount to the water demand amount of each subarea as the optimization target, and the lower layer takes the shortest water delivery time and the minimum water delivery loss of each subarea as the optimization target; the model is solved, the optimal water supply amount of each partition and the flow of the reservoir and the channel of each partition are obtained, and a scheduling optimization scheme is obtained. The method can maximize the water-saving benefit of the irrigated area.

The invention relates to the technical field of mountain afforestation, provides an efficient nursery stock planting method suitable for mountain afforestation, and aims at solving the problems that in existing mountain afforestation, planting is not standard, the survival rate is low, the water and soil conservation capacity is weak, and the labor intensity is high. The forest space layout is optimized, and the water and soil conservation capability is enhanced; the mellow soil and immature soil layered stacking and backfilling technology is adopted, the natural structure of the soil is recovered, and the root zone microenvironment quality is improved; a fertilizer isolation layer is arranged and degradable container seedlings are implanted, so that the risk of root burning is avoided, the integrity of root systems is protected, and the survival rate of the seedlings is remarkably increased; by combining root fixing water slow irrigation, water retention covering and slope water collection and soil conservation structures, natural rainfall is effectively utilized, evaporation and runoff are reduced, and water saving and drought resisting are achieved; the whole process flow is standard, the replicability is high, and the dependence on artificial experience is reduced.

The invention discloses a cotton irrigation decision-making system based on agricultural knowledge guidance and reinforcement learning. The method comprises the following steps: collecting data such as weather, soil and yield, and establishing a standardized agricultural database; a yield prediction model fusing the crop mechanism and deep learning is constructed, and yield responses of different irrigation states are evaluated; and integrating the prediction model with a crop simulation system DSSAT, constructing a simulation environment, optimizing an irrigation strategy in an iteration process by adopting a reinforcement learning algorithm, and realizing a dynamic decision by taking yield gain and water consumption as objective functions. The innovation point is that a knowledge-guided yield prediction network structure is provided, and the prediction precision and the model interpretability are improved; and a reinforcement learning mechanism based on a reward function is designed to realize joint optimization of yield and water saving. The method has the advantages that the problems that traditional irrigation depends on experience, decision lags and adaptability lacks are solved, the irrigation efficiency and the water resource utilization rate are effectively improved, and an intelligent, efficient and water-saving irrigation scheme is provided for cotton planting.

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 provides a method suitable for water retention of soil with different textures. In order to better perform size matching between the biochar and soil particles, particle size grading is performed on the biochar according to the size of soil aggregates, and three kinds of biochar with the particle size larger than 2.0 mm, the particle size ranging from 0.25 mm to 2.0 mm and the particle size smaller than 0.25 mm are obtained. The three kinds of biochar with different particle sizes are used in different types of soil respectively, and 5% of biochar with the particle size of 0.25-2.0 mm is selectively applied according to the water retention requirement of the arid area loam farmland; according to the drainage requirements of loam waterlogging areas with more rainfall, 5% of biochar with the particle size larger than 2.0 mm is selectively applied; and 5% of biochar with the particle size smaller than 0.25 mm is selectively applied for water and soil conservation of sandy soil in the arid region. By scientifically regulating and controlling the particle size and the application amount of the biochar, the biochar is matched with the specific properties of the soil, so that the water retention capacity of the soil is improved, and the soil efficiency is improved.

The present disclosure relates to an intelligent water precise irrigation control system and method for cultivation of fruit vegetables in solar greenhouses. The system includes: an information acquisition module for acquiring information by means of sensors, the acquired information including at least one of soil information, ground environment information, irrigation device use process information, and crop information; a water demand prediction module for inputting the acquired information into a deep neural network to predict water demand of fruit vegetables; and an irrigation control module for forming a control instruction according to the predicted water demand, so as to irrigate periodically and quantitatively. In this way, irrigation time and irrigation amount can be decided automatically according to growth conditions and environmental parameters in the whole process. Intelligent irrigation can be achieved with high working efficiency and accuracy, and the water-saving, quality-improved and efficiency-improved production of fruit vegetables can be achieved.

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 relates to a soil erosion amount dynamic monitoring method and system based on multi-source remote sensing data fusion. The method comprises the following steps: acquiring multi-source remote sensing data and auxiliary data, and performing geometric fine correction and atmospheric correction on an image based on high-resolution digital elevation data to obtain a data set with consistent space; performing inversion based on the data set to obtain a corrected terrain factor and a water and soil conservation measure factor; generating a time sequence rainfall erosivity factor and a time sequence vegetation coverage factor in combination with the multi-temporal satellite rainfall data; and calculating a preliminary soil erosion modulus in combination with the soil type map, and correcting by using multi-stage high-resolution digital elevation data to obtain a dynamic monitoring result of the soil erosion amount. By adopting the method, the problem of multi-source data fusion matching can be solved, and the factor inversion precision is improved, so that the accuracy of a dynamic monitoring result of the soil erosion amount is improved.

The invention provides a crop moisture stress diagnosis method and system based on a fuzzy discrimination theory and multi-source information fusion, and the method comprises the steps: collecting multi-source monitoring data which comprises but is not limited to soil moisture, crop physiology, remote sensing images and meteorological parameters; preprocessing the data, and calculating at least one moisture related index; constructing a membership function of the indexes based on a fuzzy set theory; fusing the indexes by adopting a fuzzy comprehensive discrimination method to obtain a comprehensive moisture stress index; and outputting a mild, moderate or severe crop water stress level according to the index. The system comprises a data acquisition, data processing, fuzzy discrimination and result display modular structure according to the method. By fusing multi-source monitoring data and adopting a fuzzy set theory and a fuzzy comprehensive discrimination method, accurate diagnosis and graded output of crop water stress are realized, the utilization efficiency of water resources is improved, and the method has remarkable water-saving and efficiency-increasing values.

The invention discloses a CatBoost-based irrigation area moisture productivity prediction method, and the method employs a CatBoost machine learning model to construct an irrigation area moisture productivity prediction model, can more effectively process the complex nonlinear relation and high-dimensional data among climate, soil, underground water and management measures, remarkably improves the precision and adaptability of irrigation moisture productivity prediction, and improves the prediction precision and adaptability of the irrigation moisture productivity. And the limitation of the traditional model in the aspects of dynamic nonlinear environment and data demand is overcome. Meanwhile, the Bayesian optimization technology is innovatively combined with the CatBoost model, automatic and intelligent optimization of model hyper-parameters is achieved, blindness of manual parameter adjustment is effectively avoided, the prediction precision and generalization ability of the model are further improved, the problem that a machine learning model is prone to overfitting is solved, and the method is suitable for large-scale popularization and application. And the robustness of the model in a complex environment is ensured. According to the method, quantifiable and generalizable decision support is provided for precise water saving, salt control and crop layout optimization.

The invention discloses an intelligent irrigation system and method for improving the utilization rate of cotton planting water resources, and the system comprises a data collection module which is used for obtaining the multi-source data of a cotton planting region in a preset time period, and carrying out the preprocessing of the multi-source data, so as to obtain a data set containing the three dimensions of soil, crops, and meteorology; the water demand prediction module is used for predicting the data set obtained by the data acquisition module by using a trained CNN-TCN-Attention model and generating a cotton field soil water demand; the irrigation module is used for formulating an intelligent irrigation strategy in combination with a cotton growth stage based on the data set obtained by the data acquisition module and the cotton field soil water demand predicted by the water demand prediction module, and irrigating a cotton planting area according to the intelligent irrigation strategy; the visual platform is used for monitoring the irrigation process in real time; efficient water saving and precise irrigation are achieved, and the utilization rate of cotton planting water resources is increased.

The invention discloses a coal mining water retention method, which comprises the following steps of: pre-calculating the height h0 of a water flowing fissure zone in a deep aquifer when the water yield Q2 of a coal mining mine is equal to the total water consumption Q1 of production and life of a mining area, and then calculating the corresponding mining height M0 when a coal seam below is mined according to the height h0 of the water flowing fissure zone; according to the mining height M0, the filling height M2 needing to be equivalently filled in the goaf is calculated, and materials are filled into the goaf behind along with advancing of the coal face during coal mining until the materials reach the height of M2, so that too high or too low development of the water flowing fissure zone can be inhibited, the filling height or thickness can be reduced, and the filling efficiency is improved. According to the method, the balance between the filling height of the goaf and the development height of the water flowing fractured zone is found in an equivalent filling mode, mine water generated during coal mining can meet the total water consumption of production and life of a mining area, the defects caused by complete filling can be avoided, the coal mining efficiency is improved, and the water retention effect is also improved.

The invention relates to the technical field of intelligent management of landscaping, in particular to an intelligent management method and system for irrigating landscaping plants, and the method comprises the following steps: 1, carrying out multi-dimensional data collection and dynamic modeling: collecting plant physiological data through a stem flow sensor, a leaf water potential sensor and a high-definition camera, the method comprises the following steps: acquiring environment and soil data through a meteorological station array and a soil sensor, and constructing a digital twinborn model containing a plant growth stage-water demand curve based on historical data; 2, water demand prediction and intelligent decision making: inputting real-time data into an LSTM neural network model to predict the water demand of the plant in the future 1-3 days, generating a dynamic irrigation scheme in combination with weather forecast data, and optimizing the irrigation amount and the time period according to the plant type, the growth stage and the soil partition; the water demand state is directly sensed through plant physiological signals, dynamic regulation and control are combined with a prediction model, water is saved by 50% or above compared with traditional regular irrigation, and the soil water accumulation rate is reduced to 5% or below.

The invention relates to the technical field of environmental science and engineering, in particular to a method for accounting water and soil conservation small watershed carbon sink. The method for accounting the water and soil conservation small watershed carbon sink comprises the steps that a small watershed area is selected; obtaining parameter data of the small watershed area based on the selected small watershed area; calculating a reference line carbon reserve CBSL, t and a project scene carbon sink CPROJ, t after the small watershed region is implemented for t years; and based on the reference line carbon reserve CBSL, t and the project scene carbon sink CPROJ, t of the small watershed region after t years after the small watershed region is implemented, the carbon sink CDRt of the small watershed region after t years after the small watershed region is implemented is obtained by combining net carbon sink accounting, the small watershed region and related parameter data are selected, a calculation formula is adopted to calculate the reference line carbon reserve CBSL of the small watershed region after t years after the small watershed region is implemented, and the carbon sink CDRt of the small watershed region after t years after the small watershed region is implemented is obtained. According to the method, the accurate carbon sink amount CDRt is finally obtained through calculation of the project scene carbon sink amount CPROJ, t and the project scene carbon sink amount CPROJ, t, the vacancy in the prior art is made up, and the practicability is high.

The invention discloses an identification and treatment method for a water and soil loss priority treatment area of a small watershed slope in a hilly area. The method comprises the following steps: calculating a small watershed soil erosion modulus and a sediment connectivity index, and carrying out geospatial modeling to form a soil erosion and connectivity partition identification priority treatment area; determining the land utilization type and terrain status of water and soil loss, and dividing functional zones from the spatial angles of an upper slope, a middle slope and a lower slope; a water and soil conservation forest is built in a forest and grass vegetation area on the slope or an abandoned cultivated land above a reclamation prohibition slope and a water and soil loss treatment area on the barren mountain and slope according to the principle of suitable land and suitable trees, and water and soil loss is prevented and controlled through natural restoration; water and soil loss prevention and control measures of slope land reclamation-hydrological network optimization and node control-grassland soil fixation and fertility increasing are adopted in a slope water and soil loss treatment area below the reclamation forbidding gradient in the slope; the slope bottom is provided with a plant filter belt, a tail end grit chamber and an ecological ditch measure for desilting and pollution reduction; the problem that a water and soil conservation treatment system in a small watershed is low in treatment degree is solved.

The invention relates to the technical field of intelligent environment recognition, and particularly discloses a water and soil conservation measure intelligent query method and system based on multi-dimensional parameterization. Temperature and humidity data are collected in real time through a multi-source sensor deployed in water and soil, and a temperature stability characteristic value is calculated by adopting zero-sequence processing and fast Fourier transform; a humidity change rate characteristic value is extracted by combining first-order difference processing and Haar wavelet transform; the feature values are constructed into a comprehensive environment state feature vector, and the comprehensive environment state feature vector is input into a trained random forest model for environment recognition result evaluation; according to the method, the sensing technology, signal analysis and machine learning prediction are fused, the sensing ability, the regulation and control precision and the self-adaptability of the system are improved, the method is suitable for complex and changeable environment scenes, and the method has the advantages of being high in adaptability, high in adaptability and the like. Good application prospects are realized.

The invention particularly relates to a water-saving irrigation system for intelligent agricultural vegetable seedling raising, and relates to the technical field of intelligent agriculture. And a decision and processing module. According to the method, multi-dimensional data perception and intelligent decision are adopted, so that the core contradiction that disease prevention needs drying and seedling strengthening needs stress in traditional seedling culture is solved; through a non-contact infrared leaf temperature sensor, a miniature resistance-type leaf surface humidity-sensitive sensor and the like, key data such as leaf temperature and leaf surface humidity state are accurately collected, a leaf surface humidity prediction model is constructed, a disease risk window is divided in advance, and propagation of diseases such as downy mildew and gray mold is blocked from the source; the stress intensity is controlled through the wilting coefficient, so that the seedlings are prevented from withering due to excessive stress, and moderate drought is ensured to stimulate root growth.

The invention relates to the technical field of environmental science, and discloses a water and soil conservation carbon sink measuring and calculating method and system based on artificial intelligence, and the method comprises the steps: obtaining soil parameters, climate parameters, terrain parameters and environmental parameters, carrying out the adaptive uncertainty quantification processing, and constructing a standardized data set; on the basis of the standardized data set, combined with a biomass-carbon sink dynamic constraint model, forest and grass carbon sink data are generated; engineering carbon sink data are generated through the microtopography-carbon sink dynamic correction model; further generating cultivation carbon sink data through a carbon turnover-cultivation interaction stability feedback model; performing nonlinear collaborative causal reasoning on the forest and grass carbon sink data, the engineering carbon sink data and the cultivation carbon sink data, and fusing to generate total carbon sink data; and finally, performing error correction prediction on the total carbon sink data, and outputting a carbon sink prediction result. According to the method, accurate quantification of water and soil conservation carbon sequestration with multi-measure cooperation and multi-path interweaving is realized, and the measurement and calculation precision and reliability are effectively improved.

The invention relates to the technical field of crop cultivation, in particular to a red bean plastic film mulching water-saving and fertilizer-retaining cultivation method, and aims to solve the problems that the integrity of an existing plastic film is damaged, the utilization efficiency of water and fertilizer is low, and the labor intensity of field management is high. The cultivation method is characterized by comprising the steps of soil preparation and bedding, base fertilizer application, laying of a drip irrigation belt below the center line of a ridge body, laying of a mulching film with prefabricated holes, accurate guiding of red bean seeds into the holes of the mulching film through a precision seeder, water and fertilizer integrated accurate management in the whole process, and prevention and control of diseases, weeds and weeds in combination with green prevention and control measures. By adopting the technical scheme, the utilization efficiency of water resources and fertilizers can be remarkably improved, stable performance of the mulching film is ensured, the labor intensity is reduced, and the effects of saving water, retaining fertilizers, saving labor, increasing yield and protecting environment are achieved.

The invention relates to a system and a method for synergistically and accurately collecting required and consumed water of crops. A wireless transceiver is mounted at the top of the upper water supply pipe, a soil surface water content sensor and a soil deep water content sensor are mounted on the lower water supply pipe, and a buried irrigation pipe is communicated with the lower water supply pipe between the soil surface water content sensor and the soil deep water content sensor; a crop bottom-layer temperature and humidity sensor and a crop top-layer temperature and humidity sensor are mounted on the upper water supply pipe, and the upper water supply pipe between the crop bottom-layer temperature and humidity sensor and the crop top-layer temperature and humidity sensor is communicated with a stem and leaf irrigation pipe; the water demand is more accurately obtained, comprehensive control is implemented, and corresponding buried irrigation or spray irrigation is started according to different water demand values during irrigation operation, so that the purpose of optimal water saving is achieved.

The intelligent water-saving and energy-saving vegetable greenhouse comprises a controller, a greenhouse roof and an initial rainwater discarding device, a plurality of rainwater guiding grooves are formed in the greenhouse roof, the initial rainwater discarding device comprises a rainwater container and a U-shaped pipe, a filtering cavity is formed in the top of the rainwater container and communicates with the rainwater container through a water collecting opening, one side of the filtering cavity communicates with the rainwater guiding grooves, and the other side of the filtering cavity communicates with the U-shaped pipe; one end of the U-shaped pipe is communicated with the bottom of the rainwater container, the other end of the U-shaped pipe is a drainage end, the water flow of the drainage end of the U-shaped pipe is smaller than that of the water collecting opening, the water collecting opening is connected with a floating ball through a rope, and the radial size of the floating ball is larger than the radial size of the water collecting opening; a drip irrigation pipeline is arranged in the greenhouse and communicated with the water storage tank through a water pump, and the controller is connected with the water pump. According to the greenhouse, the rainwater collection efficiency and cleanliness can be improved, the integrated design of rainwater collection, automatic irrigation and temperature and humidity adjustment is achieved, and the integration, the environmental protection property and the resource utilization efficiency of the greenhouse are improved.

The utility model discloses a water conservancy water-saving irrigation device which comprises a main body module. The main body module comprises two symmetrically-arranged water conveying pipes, a plurality of extension pipes installed on one sides of the water conveying pipes in an array mode and communicated with inner cavities of the water conveying pipes, fixing rods fixed to the bottom ends of the water conveying pipes in an array mode, supports fixed to the water conveying pipes on one side in an array mode, a base fixed to the water conveying pipes on the other side, and a movable cylinder arranged on one side of the base. One end of the sunshade cloth is wound on the reel, the other end of the sunshade cloth extends out of the movable cylinder and is fixedly connected with the base, the water conveying pipe is communicated with the pump machine, irrigation water can be conveniently conveyed into the water conveying pipe by the pump machine, the extension pipe is communicated with the water conveying pipe, a plurality of micropores are formed in the end of the extension pipe in an array mode, and the micropores face upwards. The water conservancy water-saving irrigation device has the advantages of being good in irrigation effect and high in practicability.