196 results about "Irrigation control" patented technology

The invention relates to the technical field of agricultural intelligent irrigation, and discloses a high-standard farmland intelligent irrigation system based on Internet of Things and data analysis, and the system comprises a soil moisture content sensing module which collects data through a multi-source sensor to construct a three-dimensional soil moisture content distribution model, and generates a soil moisture content characteristic spectrum; the soil moisture content prediction module generates water demand prediction data based on the soil moisture content characteristic spectrum, the meteorological data and the crop growth stage; the irrigation strategy module fuses terrain elevation and pipe network pressure parameters to generate an irrigation control map; the equipment state monitoring module collects water pump current waveform and other data to generate equipment health degree parameters; the pipe network optimization module optimizes pipe network topology and generates an adjusting instruction; the multi-source data fusion module generates fusion evaluation indexes by using an evidence theory, an entropy weight method and the like; and the intelligent execution module generates an execution control instruction accordingly. All the modules cooperate to achieve precise irrigation, and the utilization efficiency of water resources and the intelligent level of farmland management are improved.

The invention relates to a drip irrigation pipe network zoning irrigation control method and system based on multi-objective optimization, and belongs to the technical field of artificial intelligence. The method comprises the following steps of collecting multi-source heterogeneous data and sampling point space coordinates, after abnormal value elimination and normalization processing, splicing features and normalized coordinates to form a joint feature vector, and obtaining irrigation partitions with continuous space and similar features through K-means clustering; constructing a multi-objective optimization model taking the zoning irrigation duration and the inlet target flow as decision variables; solving by adopting a hybrid strategy multi-objective evolutionary algorithm of chaotic mapping initialization and adaptive hybrid variation to obtain a Pareto optimal solution set; and finally, combining an entropy weight method and decision maker preference, determining an optimal irrigation parameter through a superior and inferior solution distance method, and introducing a real-time soil moisture monitoring feedback correction parameter. Partitioned precise irrigation of the drip irrigation pipe network can be achieved, multiple optimization objectives are balanced, the irrigation effect and the resource utilization efficiency are improved, and system energy consumption is reduced.

The invention discloses a rice growth period distinguishing method and an intelligent irrigation control device. Belongs to the technical field of crossing of intelligent agriculture and irrigation and water conservancy engineering and particularly relates to the technical field of rice growth period judgment and intelligent irrigation. The technical problem that an accurate and effective rice growth period judgment method for guiding intelligent rice irrigation is lacked at present is solved. The method specifically comprises the following steps: calculating a rice growth process index through an improved accumulated temperature model; and constructing a multi-factor coupling growth period judgment method, and judging the current rice growth period through the rice growth process index. The system comprises a sensing unit, a judgment and decision-making unit, an electric execution unit and an input and power supply unit, the judgment and decision-making unit receives the environment data of the rice field and the water layer depth data of the rice field, judges the current growth period of the rice according to a rice growth period judgment method, calculates the current water layer deviation and generates a control instruction to the electric execution unit.

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 invention relates to the technical field of intelligent agricultural intelligent irrigation control, and discloses an intelligent irrigation analysis control system based on a crop growth period. The system comprises a crop image sequence, soil humidity profile data and a regional meteorological sequence. And the data analysis module is used for performing multi-stage growth state interpretation on the image sequence, generating a crop structure state profile in each growth period, performing vertical moisture exchange identification on the soil humidity data, and generating a root zone moisture dynamic map. And the habitat mapping and stress evaluation module synchronously executes habitat adaptability mapping and moisture stress risk mapping. And the irrigation decision module corrects the habitat mapping result according to the stress evaluation result and generates an irrigation decision profile. And the control instruction generation module generates a partition valve control instruction in combination with the decision profile and the alternate irrigation rule. According to the invention, deep fusion analysis of the crop growth state, the root zone moisture and the meteorological environment is realized, and the irrigation decision accuracy and the water resource utilization efficiency are improved.

The invention provides a water and fertilizer on-line accurate detection and irrigation control system which is used for irrigation of hardened water channels in low-latitude plateau areas. Comprising a cloud box, a data acquisition module, an image recognition module, a system PLC controller and a remote control and system alarm. The cloud box establishes a real-time and historical database based on the data acquired by the data acquisition module, further comprises an irrigation volume model and a crop growth period moisture management model, and makes and outputs an irrigation decision based on the irrigation volume and moisture management model; the data acquisition module is used for acquiring soil or matrix data and field water level; the image recognition module collects crop growth images to enter different period schemes; and the PLC receives an irrigation decision or controls a lifting telescopic rod or a water gate decision. According to the system, large-scale intelligent planting of crops is achieved, a large amount of manpower is saved, the problem that the low-latitude plateau green efficient water-saving irrigation technology lacks is solved, and the crop production amount is greatly increased.

The invention relates to the technical field of garden irrigation, in particular to a landscaping irrigation intelligent management system based on the Internet of Things, and the system comprises an environment monitoring module which is used for obtaining the real-time environment monitoring data, the real-time irrigation amount and the historical irrigation amount of a landscaping area; the data storage module is used for storing information of different vegetation units in the landscaping area and plant identity information corresponding to the vegetation units, the vegetation unit information comprises water and soil loss amount and soil water storage change amount, and the plant identity information comprises plant species and water amount required by plants; the irrigation prediction module is used for combining the real-time environment monitoring data, the real-time irrigation amount, the historical irrigation amount and the plant identity information through a prediction model to generate a predicted irrigation amount, adjusting the real-time irrigation amount based on the predicted irrigation amount, and generating an irrigation control instruction; the irrigation control module is used for issuing the irrigation control instruction to the corresponding irrigation equipment; and the self-maintenance diagnosis module is used for identifying the execution condition of the irrigation equipment according to the control instruction.

The application relates to the field of garden greening management automation, and discloses a garden greening intelligent irrigation method, system, controller and spray head, the method comprising: collecting environmental information; constructing a soil moisture dynamic equation and a plant growth model according to plant information and environmental information; calculating a spray head opening time based on the dynamic equation and the growth model; controlling the spray head to open and close according to the opening time; and dynamically adjusting the spray head opening time based on the environmental information after the spray head is opened. The application constructs a soil moisture dynamic equation based on soil humidity and weather changes, and calculates a spray head opening time based on the dynamic equation and the growth model, so that efficient and intelligent irrigation control is realized. Compared with an existing timing automatic irrigation system, the application effectively avoids water resource waste caused by fixed cycle watering, while ensuring the accuracy and timeliness of water supply, meets the needs of modern water saving and accurate maintenance, and has remarkable environmental and economic benefits.

The invention provides a saline-alkali soil crop multi-water-source irrigation control method and system, and belongs to the technical field of agriculture, and the method comprises the steps: determining an irrigation water salinity target threshold value and a target total irrigation amount according to soil salinity data and crop physiological parameters; determining a water distribution strategy based on the salinity concentration data, wherein the water distribution strategy at least comprises irrigation priorities and collocation of different types of water sources; based on the target irrigation total amount, the irrigation water salinity target threshold value and the water distribution strategy, the target water taking amount of each type of water source is determined; and generating an irrigation control instruction according to the target water intake amount. According to soil salinity, crop types, crop physiological parameters and salinity concentration of multiple water sources, the irrigation water salinity target threshold value and the irrigation water total amount are dynamically and accurately determined; and meanwhile, a priority water distribution strategy is formulated, so that flexible allocation of irrigation among multiple water sources and fine management of the salinity concentration of crop irrigation water can be realized, and soil salinization and crop salinity stress are effectively avoided.

The invention relates to the technical field of edge calculation, in particular to a precise irrigation system and method based on a plant growth model and edge calculation, and the system comprises an environment perception fusion module, a growth state matching module, an edge water volume calculation module, an equipment instruction issuing module and a feedback cycle recognition module. According to the invention, continuous detection and unified processing are carried out on environmental data through edge nodes, data integrity and space mapping efficiency are improved, moisture absorption capability and root distribution are matched according to crop growth stage parameters, an area to be irrigated is accurately calibrated, and target water volume calculation is locally completed in combination with a real-time soil state. A time and flow matching structure is constructed, pertinence of irrigation control is improved, control instructions are executed through distributed control equipment, response behaviors are recorded, equipment state traceability is achieved, continuous feedback recognition is conducted on soil moisture changes after irrigation, dynamic adjustment of a closed loop is promoted, the system response speed and irrigation precision are improved, and the risk of resource waste is reduced.

The invention relates to the technical field of intelligent irrigation, and discloses an intelligent irrigation system for a fruit tree planting greenhouse. The system comprises a multi-dimensional data acquisition module, a data fusion processing module, an irrigation decision module and an irrigation control execution module which are connected in sequence. The system obtains a root soil image, a leaf surface temperature distribution map and stem micro-deformation data, and performs multi-dimensional fusion calculation to generate a spatial water potential distribution map capable of representing the overall moisture condition of crops. And calculating specific regional water demand and preferential irrigation sites based on the map, and further driving an execution terminal to realize precise irrigation. According to the method, the physiological water demand signal of the crop can be responded, the spatial difference of water stress can be identified, the limitation that the traditional technology depends on single soil information is overcome, the crossing from environment monitoring to crop body sensing is realized, and the irrigation accuracy and the water resource utilization efficiency are improved.

The invention relates to the technical field of intelligent agriculture, and discloses a water and fertilizer integrated irrigation control method for wheat planting, and the method comprises the following steps: deploying a composite physiological sensor (comprising a high-sensitivity piezoelectric acoustic probe and an ion selective microelectrode array) to collect acoustic and ion signals reflecting moisture and nutrient states, extracting feature vectors, and calculating a water and fertilizer integrated water and fertilizer integrated water and fertilizer integrated water and fertilizer integrated water and fertilizer integrated water and fertilizer integrated water and fertilizer integrated water and fertilizer integrated water and fertilizer integrated water; the method comprises the following steps: calculating physiological rhythm synchronism to determine a dynamic decision weight so as to eliminate abnormal data, weighting and fusing feature vectors of normal sentinel plants, constructing partitioned comprehensive physiological features, decoding the features into a specific physiological state by utilizing a classification model, and finally, according to the state, applying a coupling control logic of water stress priority, so as to obtain a comprehensive physiological state of the sentinel plants. And generating and executing a water and fertilizer control instruction. By directly monitoring the physiological status of crops and introducing a self-checking mechanism, accurate and self-adaptive closed-loop water and fertilizer management is realized.

The invention relates to the field of edge calculation, in particular to a sprinkling machine variable irrigation control method based on target water depth cutting and geometric volume-preserving mapping, and the method is universal in two operation modes of a central pivot (circle) and translation. According to the method, a closed-loop process of target cutting-connected partition and discrete gear selection-AMR cell refinement-CMI mapping-cell-level constraint deconvolution-60s period greedy backtracking-execution and monitoring is followed, and cooperative control of 4-5 management regions and a plurality of cells in the whole field can be realized; the community-level and whole-field double-layer (> = 90%) satisfaction degree is preferentially ensured, and the uniformity and water saving are both considered.

The invention provides an intelligent agricultural production control method and system based on artificial intelligence, and relates to the technical field of intelligent agriculture, and the method comprises the steps that S1, an unmanned plane carries out the real-time monitoring of a farmland every 10 minutes, and collects environment data, and the environment data comprises soil humidity, temperature, illumination intensity and air humidity; s2, analyzing the environmental data based on a deep learning algorithm and generating an irrigation control strategy; s3, automatically adjusting the operation parameters of the unmanned aerial vehicle according to the irrigation control strategy, wherein the operation parameters comprise irrigation time, irrigation water amount and irrigation area. According to the intelligent agricultural production control method and system based on artificial intelligence, real-time monitoring and data acquisition are performed on a farmland through the unmanned aerial vehicle, environmental data are analyzed by using a deep learning algorithm, and an irrigation control strategy is generated, so that accurate water resource management is realized, and the irrigation time, the irrigation water amount and the irrigation area are automatically adjusted; therefore, efficient use of water resources is ensured.

The invention discloses an intelligent water-saving irrigation control device, and relates to the technical field of irrigation. According to the intelligent water-saving irrigation control device, the servo push rod drives the sprayers to ascend and descend, the spiral guide structure achieves steering and is matched with pitch angle self-adaptive adjustment, large-area circumferential coverage can be achieved through a single device, and compared with traditional sprayers with fixed heights and fixed angles, the deployment number of the sprayers in the field can be reduced; the device greatly reduces the equipment purchase cost and the field installation construction workload, aims at the problems that the water flow drop points of a traditional spray head are concentrated and more in the near and less in the far, enables the water flow drop points to form a reciprocating covering track from the near to the far and from the far to the near through the cooperative operation of lifting, steering and angle switching of the spray head, improves the irrigation uniformity, and improves the irrigation efficiency. The problems of water shortage of crops in areas far away from water flow drop points and saturation and loss of water sources in the areas close to the water flow drop points are effectively solved, water supply balance of field crops is guaranteed, and crop growth consistency is improved.

Automated agriculture irrigation control unit using Smart technology

The invention discloses a multifunctional garden irrigation control system based on non-contact ultrasonic sensing, which belongs to the technical field of garden irrigation and comprises a garden information acquisition module, a garden information processing module, a data analysis and evaluation module, a garden irrigation control module and a garden data storage module. According to the invention, the problems that the workload of an operator is increased and the irrigation control effect of the multifunctional garden is poor because the operator manually performs irrigation control on the multifunctional garden in the prior art are solved, and the multifunctional garden information based on non-contact ultrasonic sensing is acquired, processed, analyzed and evaluated in real time, so that the working efficiency is improved. According to the method, the garden irrigation control strategy is determined, the multifunctional garden irrigation is controlled according to the garden irrigation control strategy, the multifunctional garden irrigation can be intelligently controlled based on non-contact ultrasonic sensing, an operator does not need to manually control the irrigation of the multifunctional garden, the workload of the operator can be reduced, and the working efficiency is improved. And the multifunctional garden irrigation control effect is improved.

The invention relates to the technical field of agricultural cultivation, and discloses a plant factory seedling raising-based stage irrigation control system, which comprises a cultivation unit, a control unit and a control unit, a spraying unit; the spraying unit is used for spraying crops in the cultivation unit; the drip irrigation unit is used for performing drip irrigation on the crops in the cultivation unit; a thermal imaging unit; the thermal image acquisition unit is used for acquiring thermal images of the cultivation units; the control unit is used for instructing the thermal imaging unit to acquire a subsequent thermal image time sequence of the cultivation unit; calculating a root activity index for the cultivation unit; and whether the irrigation mode of the cultivation unit is switched from the spraying state to the drip irrigation state is determined. According to the method, the root activity of each seedling is quantified through the thermal imaging unit, and an independent asynchronous irrigation switching decision is made accordingly. Therefore, it is ensured that spraying of each seedling is changed into drip irrigation at the optimal node of physiological development of the seedling, the defect of unified switching is overcome, and the seedling uniformity and the final quality are improved.

The invention relates to the technical field of garden irrigation control, in particular to a garden precise irrigation control method and system based on Internet of Things sensing, and the method comprises the steps: deploying an illumination and humidity sensor to extract peak time and a response process, analyzing trend consistency to recognize a linkage block, adjusting an irrigation sequence, and screening a target block. Outputting a control instruction to drive the irrigation device to act in sequence. The method comprises the following steps: extracting illumination peak time change characteristics, combining a humidity response process, establishing a linkage relationship between illumination and humidity, screening response blocks according to trend consistency, sequencing an irrigation sequence, dynamically selecting a target block according to a humidity state, generating a corresponding control instruction, and pushing water source allocation to be converted into response driving. Through linkage adjustment of an irrigation sequence and an object, the matching performance of water distribution to an environment rhythm and a plant state is enhanced, and the collaboration of multi-block irrigation control and the rationality of an execution structure are improved.

The utility model relates to the technical field of irrigation control, especially a yellow peach orchard irrigation precision controller, including irrigation controller body, the lower part of right -hand member of irrigation controller body is fixedly connected with pump body water inlet filter device, the upper end fixedly connected with the communicating water pipe of pump body water inlet filter device, one end fixedly connected with branch pipe precision control structure of communicating water pipe, the utility model discloses a kind of yellow peach orchard irrigation precision controller, pass through pump body water inlet filter device and again filter component carry out multistage filtration, effectively avoid the impurity in water to block pipeline, with the electromagnetic control valve of branch pipe precision control structure, can be according to the different area demand of yellow peach orchard precision distribution water volume, guarantee that yellow peach obtains suitable moisture in each growth stage, reduce crack fruit, fruit small etc. Problem, improve fruit quality, increase farmer's income, and filter component is easy to disassemble and clean, and maintenance is convenient.

The invention discloses a walking control method for a translation type sprinkling machine capable of improving irrigation uniformity, and belongs to the technical field of sprinkling machines, the translation type sprinkling machine comprises a plurality of main tower cars, the plurality of main tower cars are connected and fixed through water supply pipes, a plurality of irrigation pipes are arranged below the water supply pipes, one end of each irrigation pipe is provided with a valve, and the other end of each irrigation pipe is provided with a valve. A variable irrigation controller is fixedly installed on the valve, a main control cabinet and a slave control cabinet are fixedly installed on the main tower vehicle, a 380VAC power source is arranged in the main control cabinet, a 380VAC cable is electrically connected to the 380VAC power source, and the main tower vehicle is further provided with a transformer, a rectifier, a motor controller, a motor driver and a direct-current brushless motor. According to the variable irrigation control method for the large sprinkler, the mutual influence among the flow of all the nozzles on the sprinkler is considered, a decision network is constructed by using wireless communication and edge calculation methods, and the flow of each nozzle on the whole sprinkler can be quickly stabilized on a target value.

The invention discloses a water-saving precise irrigation control system and method, and relates to the technical field of agricultural irrigation, and the method comprises the steps: obtaining an irrigation region and an environment data set, preprocessing the environment data set, generating credible data, carrying out fluctuation evaluation on the credible data, and generating a data quality index; executing a gating decision on an irrigation mode judgment basis based on a data quality index, generating a partition target irrigation instruction set, executing infiltration capacity online identification on historical irrigation responses in the partition target irrigation instruction set and the environment data set, and generating a pulse irrigation sequence; and executing hydraulic state analysis on the pipe network flow pressure and the pump station operation data in the environmental data set, generating a water supply constraint, scheduling a pulse irrigation sequence based on the water supply constraint, and issuing the pulse irrigation sequence to a valve and a pump station to generate an irrigation execution result. According to the method, by forming water supply constraints, the strategy performability is improved, and meanwhile the field deviation is reduced.

The invention relates to a multi-partition dynamic irrigation pressure regulating system, which belongs to the technical field of agricultural irrigation and comprises a user interaction end, an irrigation control host, a constant-pressure water supply frequency converter and an irrigation partition electromagnetic valve, the user interaction terminal is used for a user to set different irrigation pressure values for different irrigation zones; the irrigation control host is in communication connection with the user interaction terminal; the irrigation control host is connected with a constant-pressure water supply frequency converter through an RS485 communication interface, and the constant-pressure water supply frequency converter is used for driving a water pump; the plurality of irrigation subarea electromagnetic valves are connected with an irrigation control host, and the plurality of irrigation subarea electromagnetic valves are in one-to-one correspondence with the plurality of irrigation subareas; according to the method, the target irrigation pressure value can be independently preset for each irrigation zone, accurate on-demand water supply is achieved, and equipment loss and energy waste caused by global high-pressure operation of a traditional system are avoided while irrigation uniformity and effectiveness are ensured.

The utility model discloses a hydrogen agricultural irrigation control system capable of instantly producing hydrogen and circularly dissolving hydrogen, relates to the field of hydrogen agricultural irrigation control systems, aims to solve the problems of poor controllability and accuracy of hydrogen-rich water for irrigation in the prior art, and adopts the technical scheme that a DCS (Distributed Control System) is combined with a gateway to establish an Internet of Things cloud platform; the wireless sensor is used for detecting the soil environment, a signal is transmitted to the single-chip microcomputer controller through the 4G communication module, the single-chip microcomputer controller controls the hydrogen production control module and the circulating hydrogen dissolving irrigation control module to prepare hydrogen-rich water, instant hydrogen production, circulating hydrogen dissolving and automatic and accurate irrigation can be achieved, and therefore irrigation is more convenient and more accurate. The circulating hydrogen dissolving irrigation control module can further improve the utilization rate of hydrogen, and waste of resources is reduced.

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.

The utility model relates to the technical field of water and fertilizer irrigation, and provides an intelligent irrigation water and fertilizer proportioning device which comprises a fertilizer storage box, a plurality of independent fertilizer cavities are formed in the fertilizer storage box, fertilizer guiding pipes are arranged in the independent fertilizer cavities, a connecting block is fixed above the fertilizer storage box, a plurality of connecting through holes are formed in the connecting block, one end of each fertilizer guiding pipe is located at the bottom of the corresponding independent fertilizer cavity, and the other end of each fertilizer guiding pipe is located at the bottom of the corresponding independent fertilizer cavity. A selection plate is connected to the upper portion of the connecting block, a fertilizer suction hole is formed in the selection plate, a fertilizer suction hose is communicated to the fertilizer suction hole, the fertilizer suction hose is communicated to the fertilizer preparation proportioning pump, and the selection plate is driven by a driving device to rotate. The utility model has the beneficial effects that a plurality of independent fertilizer cavities are arranged in the fertilizer storage box and are used for storing different types of water-soluble fertilizers, and the fertilizer proportioning pump can extract the fertilizers from the different independent fertilizer cavities for proportioning and outputting the fertilizers, so that the output types of the fertilizers are switched, the stage fertilizer requirement difference of crops is met, and the fertilizer utilization rate is improved. The whole intelligent irrigation control system is matched to realize automatic fertilization operation.

The application relates to the field of agricultural irrigation technology, in particular to a water and fertilizer integrated irrigation control system and a control method, which specifically comprises the following steps: calculating a water and nutrient loss factor according to test field irrigation data, and fitting a mapping relationship between soil initial root layer water and nutrient data and corresponding loss factors, so as to help ordinary cultivated fields to quickly obtain corresponding loss factors according to root layer water and nutrients during use, and to adaptively adjust water and nutrient irrigation amounts; in view of the problem that individual areas do not reach the requirements after preliminary irrigation of ordinary cultivated fields, corresponding loss factors are adjusted according to post-irrigation data, and then the irrigation amount is adjusted for supplementary irrigation; the problem that the traditional integrated irrigation lacks consideration of the fact that part of water and nutrients will be lost before reaching the root layer, leading to the fact that the water and nutrient amounts of the crop root layer may still be lower than the required amount after the irrigation is completed, is avoided, and the irrigation precision of crops is improved.

To provide a suction and irrigation system for maintaining an in situ pressure of an anatomical environment at an anatomical site under control during an endoscopic procedure.SOLUTION: Systems and methods for providing in-situ pressure control in an anatomical environment during a procedure are disclosed. The example irrigation and aspiration system includes a user input configured to receive, from a user, a desired pressure to be applied to the anatomical environment or a desired flow condition corresponding to the desired pressure. The system comprises a pressure sensor for sensing a pressure at or near the anatomical environment during the procedure, and a control module for adjusting one or more of an irrigation flow rate or an aspiration flow rate of at least one working channel of the medical device to maintain the pressure in the anatomical environment substantially at a desired pressure level or to maintain desired flow conditions in the working channel.SELECTED DRAWING: Figure 1

The invention relates to a greening spray irrigation control method and system based on soil humidity feedback and a terminal, and relates to the technical field of greening irrigation, and the method comprises the steps: collecting the plant evapotranspiration, plant type and soil humidity parameters of a preset plant; analyzing plant evapotranspiration, plant types and soil humidity parameters to determine dynamic water demand conditions; judging whether the dynamic water demand condition meets the requirement of a preset water demand threshold condition or not; if not, continuing to collect the plant evapotranspiration, the plant type and the soil humidity parameter of the plant for circular judgment; if yes, the dynamic water demand condition, the plant type and the soil humidity parameter are analyzed to determine the plant water supplementing amount; and controlling a preset irrigation device to irrigate the plants according to the plant water supplementing amount. The method has the effect of improving the precision of greening irrigation.

The invention relates to the technical field of irrigation control, in particular to an automatic wheat irrigation control system and method based on the Internet of Things, and the method comprises the steps: obtaining wheat canopy parameters of a plurality of preset collection points in a target area, the water content distribution conditions of soil at different depths, the growth conditions of wheat roots, and environment parameters in a future preset time period; determining an irrigation trend characterization value based on the wheat canopy parameters of the first preset acquisition points and the environmental parameters in the future preset time period; and determining an irrigation demand mode of the target area based on the irrigation trend characterization value, the irrigation demand mode including a waiting irrigation mode, a weak demand irrigation mode and a strong demand irrigation mode. According to the invention, the irrigation mode can be dynamically adjusted according to wheat growth requirements, and the accuracy of wheat irrigation process control is improved.