CN212877002U - Water, fertilizer, gas and hot chemical integrated intelligent irrigation system for farmland irrigation area - Google Patents
Water, fertilizer, gas and hot chemical integrated intelligent irrigation system for farmland irrigation area Download PDFInfo
- Publication number
- CN212877002U CN212877002U CN202020998678.4U CN202020998678U CN212877002U CN 212877002 U CN212877002 U CN 212877002U CN 202020998678 U CN202020998678 U CN 202020998678U CN 212877002 U CN212877002 U CN 212877002U
- Authority
- CN
- China
- Prior art keywords
- irrigation
- water
- control valve
- fertilizer
- supply control
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Abstract
A water, fertilizer, gas and heat integrated intelligent irrigation system for a farmland irrigation area comprises field acquisition control subsystems, irrigation area control subsystems, a service cloud platform and an application terminal, wherein the field acquisition control subsystems are in communication connection with the irrigation area control subsystems through wireless nodes, the irrigation area control subsystems are connected with the service cloud platform through the wireless nodes, and the service cloud platform is in communication connection with the application terminal through the wireless nodes. The utility model relates to a field intellectuality is driped irrigation and is irrigated control irrigation system with sprinkling irrigation based on internet, thing networking, remote sensing technology, sensing and wireless transmission technology, rely on intelligent control irrigation unit mass data to carry out big data analysis, intelligent irrigation information service cloud platform has been found, realize the accurate irrigation in farmland irrigation district, single-point soil moisture content has been solved, the crop lack of water index, atmospheric evaporation ability index space variation problem and irrigation discrimination standard problem, irrigation automation has been realized, it is accurate, institutionalization, platformization and standardization.
Description
The technical field is as follows:
the utility model relates to a farmland intelligence irrigation technical field, in particular to farmland irrigation district water, fertilizer, gas and heat medicine integration intelligent irrigation system.
Background art:
the large-scale planting in the prior agricultural technology has high efficiency, and compared with the planting of ordinary farmers, the large-scale planting has the advantages of more machines, less labor, high personnel efficiency, low labor cost and higher material and service cost. The farmland needs to be accurately irrigated in the large-scale planting process, and in the prior art, the soil moisture content can not be monitored in real time, and a reasonable and accurate irrigation scheme can not be set.
The invention content is as follows:
in view of the above, there is a need for an intelligent irrigation system with integrated functions of water, fertilizer, gas and hot chemicals for farmland irrigation areas.
The field irrigation area water, fertilizer, gas and thermal chemical integrated intelligent irrigation system comprises a plurality of field acquisition control subsystems, a plurality of irrigation area control subsystems, a service cloud platform and an application terminal, wherein the field acquisition control subsystems are in communication connection with the irrigation area control subsystems through wireless nodes, the irrigation area control subsystems are connected with the service cloud platform through the wireless nodes, and the service cloud platform is in communication connection with the application terminal through the wireless nodes.
Preferably, the field collection control subsystem comprises a soil moisture content sensor, a soil oxygen content tester, a rainfall measurement instrument, a field collector, a photovoltaic panel power supply device, an air temperature and humidity sensor, an air speed sensor, a wind direction sensor and an illumination sensor, the photovoltaic panel power supply device is electrically connected with the field collector, the soil moisture content sensor, the soil oxygen content tester, the rainfall measurement instrument, the air temperature and humidity sensor, the air speed sensor, the wind direction sensor and the illumination sensor are in communication connection with the field collector, and the field collector is in communication connection with the irrigation area control subsystem through a wireless node.
Preferably, the irrigation area control subsystem comprises an irrigation unit main controller, a header control valve, a water supply control valve, a fertilizer supply control valve, a water supply control valve, a heat supply control valve, a pesticide supply control valve and a header control valve, supply water control valve, supply fertile control valve, supply air control valve, heat supply control valve and supply medicine control valve respectively with irrigation unit main control unit communication connection, the dress is joined in marriage to prelude control valve and main pipeline, supply water control valve to join in marriage the dress on water supply pipe, supply fertile control valve to join in marriage the dress on supplying fertile pipeline, supply air control valve to join in marriage the dress on oxygen supply pipeline, heat supply control valve joins in marriage and joins in marriage on heating device, supply medicine control valve to join in marriage on the liquid medicine pipeline, heating device's water inlet is connected with the water source, the delivery port is connected with water supply pipe, water supply pipe and farmland are irritated the district and are driped irrigation the pipe connection, supply fertile pipeline, supply oxygen supply pipeline and liquid medicine pipeline are connected with water supply pipe.
Preferably, the heating device comprises a solar thermal collector and a heat exchanger, a cold source inlet of the heat exchanger is connected with a water source, a heat source outlet is connected with the main pipeline, an outlet of the solar thermal collector is connected with a heat source inlet of the heat exchanger, a cold source outlet of the heat exchanger is connected with an inlet of the solar thermal collector, one end of the water supply pipeline is connected with the water source, the other end of the water supply pipeline is connected with an inlet of the three-way pipeline, an outlet of the three-way pipeline is matched with the heat supply control valve, the heat supply control valve is connected with the cold source inlet of the heat exchanger, and the.
Preferably, the field acquisition control subsystem further comprises an unmanned aerial vehicle shooting and collecting device, and the unmanned aerial vehicle shooting and collecting device is in communication connection with the field acquisition device through a wireless node.
Preferably, the service cloud platform comprises a Web server, a central server and a central database, the Web server and the central database are in communication connection with the central server, the central server is in communication connection with wireless nodes of the irrigation unit main controllers of each field irrigation area through wireless transmission towers, the application terminals comprise computers and mobile phones, the computers are in communication connection with the Web server, and the central server is in communication connection with the mobile phones through the wireless transmission towers.
The utility model provides a farmland irrigation zone water, fertilizer, gas and heat medicine integration intelligent irrigation system is a field intellectuality is driped irrigation and sprinkling irrigation control irrigation system based on internet, thing networking, remote sensing technique, sensing and wireless transmission technique, the utility model discloses establish intelligent irrigation information management system, rely on intelligent control irrigation unit mass data to carry out big data analysis, constructed intelligent irrigation information service cloud platform, realize the accurate irrigation in farmland irrigation zone, solved single-point soil moisture content, crop water shortage index, atmospheric evaporation ability index space variation problem and irrigation discrimination standard problem, realized irrigation automation, accurate, institutionalization, platformization and standardization.
Description of the drawings:
in order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention, and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 is a schematic structural diagram of a water, fertilizer, gas and heat-medicine integrated intelligent irrigation system in a farmland irrigation area.
Fig. 2 is a schematic structural diagram of a field acquisition control subsystem of the water, fertilizer, gas and hot pesticide integrated intelligent irrigation system of a farmland irrigation area.
Fig. 3 is a schematic structural diagram of an irrigation area control subsystem.
Fig. 4 is a schematic view of a switching structure of a heating device and a water source of an irrigation area control subsystem.
Fig. 5 is a schematic view of a process of collecting soil moisture information by using an unmanned aerial vehicle.
In the figure: the system comprises a field collection control subsystem 1, a soil moisture content sensor 10, a soil oxygen content tester 11, a rainfall measurement instrument 12, a field collector 13, a photovoltaic panel power supply device 14, an air temperature and humidity sensor 15, an air speed sensor 16, an air direction sensor 17, an illumination sensor 18, an irrigation area control subsystem 2, an irrigation unit main controller 20, a head control valve 21, a water supply control valve 22, a fertilizer supply control valve 23, a water supply control valve 24, a heat supply control valve 25, a pesticide supply control valve 26, a main pipeline a, a water supply pipeline b, a fertilizer supply pipeline c, an oxygen supply pipeline d, a pesticide liquid pipeline e, a service cloud platform 3, a Web server 30, a central server 31, a central database 32, an application terminal 4, a heating device 5, a solar heat collector 50 and a heat exchanger 51.
The specific implementation mode is as follows:
in order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention, as generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the accompanying drawings, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. Based on the embodiments in the present invention, all other embodiments obtained by a person skilled in the art without creative efforts belong to the protection scope of the present invention.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
The utility model provides a following specific embodiment.
Referring to fig. 1, fig. 2, fig. 3 and fig. 4, the water, fertilizer, gas, heat and chemical integrated intelligent irrigation system for farmland irrigation areas comprises a plurality of field acquisition control subsystems 1, a plurality of irrigation area control subsystems 2, a service cloud platform 3 and an application terminal 4, wherein the field acquisition control subsystems 1 are in communication connection with the irrigation area control subsystems 2 through wireless nodes, the irrigation area control subsystems 2 are connected with the service cloud platform 3 through wireless nodes, and the service cloud platform 3 is in communication connection with the application terminal 4 through wireless nodes.
The field collection control subsystem 1 comprises a soil moisture content sensor 10, a soil oxygen content tester 11, a rainfall measurement instrument 12, a field collector 13, a photovoltaic panel power supply device 14, an air temperature and humidity sensor 15, an air speed sensor 16, a wind direction sensor 17 and an illumination sensor 18, the photovoltaic panel power supply device 14 is electrically connected with the field collector 13, the soil moisture content sensor 10, the soil oxygen content tester 11, the rainfall measurement instrument 12, the air temperature and humidity sensor 15, the air speed sensor 16, the wind direction sensor 17 and the illumination sensor 18 are in communication connection with the field collector 13, and the field collector 13 is in communication connection with the irrigation area control subsystem 2 through a wireless node.
The irrigation area control subsystem 2 comprises an irrigation unit main controller 20, a head control valve 21, a water supply control valve 22, a fertilizer supply control valve 23, a water supply control valve 24, a heat supply control valve 25 and a pesticide supply control valve 26, wherein the head control valve 21, the water supply control valve 22, the fertilizer supply control valve 23, the water supply control valve 24, the heat supply control valve 25 and the pesticide supply control valve 26 are respectively in communication connection with the irrigation unit main controller 20, the head control valve 21 is assembled with a main pipeline a, the water supply control valve 22 is assembled on a water supply pipeline b, the fertilizer supply control valve 23 is assembled on a fertilizer supply pipeline c, the water supply control valve 24 is assembled on an oxygen supply pipeline d, the heat supply control valve 25 is assembled on a heating device 5, the pesticide supply control valve 26 is assembled on a pesticide pipeline e, a water inlet of the heating device 5 is connected with a water source, a water outlet is connected with the water supply pipeline b, the water supply pipeline b is connected with a farmland irrigation area drip irrigation, the fertilizer supply pipeline c, the oxygen supply pipeline d and the liquid medicine pipeline e are respectively connected with the water supply pipeline b.
The heating device 5 comprises a solar heat collector 50 and a heat exchanger 51, a cold source inlet of the heat exchanger 51 is connected with a water source, a heat source outlet is connected with a main pipeline a, an outlet of the solar heat collector 50 is connected with a heat source inlet of the heat exchanger 51, a cold source outlet of the heat exchanger 51 is connected with an inlet of the solar heat collector 50, one end of a water supply pipeline b is connected with the water source, the other end of the water supply pipeline b is connected with an inlet of a three-way pipeline, one outlet of the three-way pipeline is assembled with the heat supply control valve 25, the heat supply control valve 25 is connected with the cold source inlet of the heat exchanger 51, and the other. The utility model discloses an irrigate unit main control unit 20 of district control subsystem 2 and irrigate every and carry out data interaction through NBIOT 4G wireless network and service cloud platform 3's central server, irrigate unit main control unit 20 simultaneously and be responsible for carrying out field control to this irrigation unit's prelude, water, fertile, gas, heat, medicine.
The field acquisition control subsystem 1 further comprises an unmanned aerial vehicle shooting and collecting device which is in communication connection with the field collector 13 through a wireless node. Unmanned aerial vehicle takes a picture in real time to the farmland irrigation district and samples to with sampling information photo send to data collection station, data collection station sends the photo to service cloud platform 3, service cloud platform 3 carries out contrastive analysis back to the photo information, makes the management strategy of driping irrigation or sprinkling irrigation. The utility model discloses a based on unmanned aerial vehicle farmland irrigation district water, fertilizer, gas and heat medicine integration intelligent irrigation system, solved single-point soil moisture content, crop water shortage index, atmospheric evaporation ability index space variation problem and irrigate the discrimination standard problem, solve and irrigate automation, accurate, institutionalization, platformization and standardization problem.
As shown in FIG. 5, the unmanned aerial vehicle of the present invention adopts a ground microclimate station and a ground energy-only sensor network for collecting vegetation indexes such as NDVI, SAVI, EVI, SR, GNDVI, VARI, etc., collecting thermal infrared images with high time and spatial resolution, planar canopy temperature, and real-time collection of air temperature, humidity, wind speed, solar clean radiation, heat flux and rainfall in irrigation area by the ground microclimate station and the ground energy-only sensor network, thereby realizing the monitoring of crop growth, crop estimation, soil evapotranspiration, soil moisture and space-time distribution, vegetation coverage, crop moisture stress and drought, and making irrigation decisions through the service cloud platform 3, the service cloud platform 3 sends irrigation control instructions to the irrigation area control subsystem 2 through irrigation decisions, and an execution unit of the irrigation area control subsystem 2 receives the instruction and executes the action, and the service cloud platform 3 makes an irrigation decision according to the self-adaptive learning system and the short-mid weather forecast.
The utility model discloses with the transmission of water in the atmosphere, the plant, the earth's surface, soil and groundwater layer are the core, fully consider plant and atmosphere, soil and root system, a plurality of interface processes between soil water and groundwater etc., the measurement mode of proposed system, visible light and near infrared ray wave band that combine unmanned aerial vehicle to carry, develop farmland soil moisture content, crop water shortage index, microclimate monitoring and interrelation research thereof, found SPAC soil moisture content-crop water shortage-microclimate integration moisture synchronous monitoring analytic system, through the moisture motion in the systematic study groundwater-soil-plant-atmosphere continuum, long-term monitoring meteorological index, plant physiological index, soil moisture index and groundwater index, the measuring result can be used to guide the irrigation.
The utility model discloses the technical indicator who carries out system research institute and adopt does: and carrying out real-time monitoring on the field, wherein the indexes comprise indexes such as atmosphere, plants, soil, underground water and the like. Including total radiation, photosynthetically active radiation, net radiation, ultraviolet radiation, CO2, wind speed, wind direction, temperature, humidity, air pressure, rainfall, evaporation, leaf temperature, leaf humidity, stem flow, stem changes, fruit changes, soil moisture, soil water potential, soil temperature, soil salinity, soil heat flux, soil evapotranspiration, water level, water temperature, pH, conductivity, dissolved oxygen, turbidity, etc.
The multispectral remote sensing of the unmanned aerial vehicle is used for rapidly measuring the water content of the bare soil in a large range and determining the optimal monitoring depth: the soil of the implementation land is used as a test material, and the soil is sealed by a plastic bag and taken back to a laboratory for testing after 0-30cm of uniform sampling. And measuring indexes such as volume weight of soil, initial mass water content, pH value, organic matter content, salt content and the like. In order to accurately configure the moisture content of the test sample, the sampled soil is dried, rolled and mixed, and then the soil is screened by a 2mm screen to prepare the test soil sample. And (3) fully and uniformly mixing, putting into a flowerpot with the diameter of about 16cm and the height of about 11cm, and preparing 90 samples with the mass water content of 3-30%, the gradient of about 3% and the heights of 5cm and 10cm respectively, wherein 60 samples are used for modeling, and 30 samples are used for verification. Soil samples with the water content of 5cm and 10cm and the water content of 3% -30% are prepared respectively. And carrying out continuous monitoring on the soil sample for 3-4d by using an unmanned aerial vehicle to carry a multispectral camera. Respectively collecting the spectral reflectivity of soil at 5 wave bands, wherein the 5 wave bands are blue 475, green 560, red 668, near red 840 and red 717 nm. And after shooting is finished every time, calculating the integral mass water content of each flowerpot soil sample by a weighing method. And weighing the surface soil of each flowerpot soil sample, wherein the soil layer depth is about 1cm, and the mass water content of the surface soil is measured by a drying method about 30 g. And comparing the predicted value and the measured value of the soil water content by different modeling methods to obtain regression models of the reflectivity factors of different wave bands.
Canopy temperature information is acquired by utilizing an unmanned aerial vehicle thermal infrared technology, and the difference of crop moisture space conditions is evaluated by jointly diagnosing the moisture stress conditions by combining various vegetation indexes. The experiment designs 4 water gradients, the first gradient is 50% of field capacity, the second gradient is 65% of field capacity, the third gradient is 80% of field capacity, the fourth gradient is 95% -100% of field capacity of a control group, 3 repeated experiments are set for each water treatment, 12 cells are totally formed, and the area of each cell is 4m multiplied by 5 m. The district is furnished with the water gauge, adopts the mode of driping irrigation to irrigate, and a drip irrigation zone is placed to every row of crop, and the wet radius of dripper is 20cm to be equipped with wide ridge between the district to avoid each district soil moisture side direction infiltration's influence as far as possible.
Based on a ground-air sensing network formed by an unmanned aerial vehicle remote sensing platform and a ground intelligent sensor network, sensing data are collected, processed and analyzed through an agricultural big data platform to realize real-time visual browsing and grasp of ecological environment information and agricultural condition dynamics, and monitoring contents comprise air temperature and humidity, rainfall, solar radiation, wind speed and direction, atmospheric pressure, soil evapotranspiration, soil moisture and space-time distribution thereof, NDVI, vegetation coverage, crop growth, crop yield estimation, crop water stress, drought monitoring and the like.
The service cloud platform 3 comprises a Web server 30, a central server 31 and a central database 32, the Web server 30 and the central database 32 are in communication connection with the central server 31, the central server 31 is in communication connection with wireless nodes of the irrigation unit main controller 20 of each field irrigation area through a wireless transmitting tower, the application terminal 4 comprises a computer and a mobile phone, the computer is in communication connection with the Web server 30, and the central server 31 is in communication connection with the mobile phone through the wireless transmitting tower; the central server 31 includes hardware devices and software systems.
The construction of the service cloud platform 3 comprises the requirements research and analysis, system design and development, system test and demonstration and the establishment of a software system function module of the water, fertilizer, gas and heat medicine integrated intelligent irrigation system of the farmland irrigation region;
requirement research and analysis of the system: the system serves the yellow-leading irrigation area, aims to build an intelligent irrigation information service cloud platform and build standard intelligent irrigation, and fully investigates the use requirements of farmers for planting crops and planting modes of the yellow-leading irrigation area and the yellow-leading irrigation area aiming at the purpose; meanwhile, a platform support is provided for the research of synchronous monitoring analysis of soil moisture monitoring of the water, fertilizer, gas and hot pesticide integrated intelligent irrigation system of the farmland irrigation area, the platform support needs to be fully communicated with scientific research personnel, the testing, perfecting and expanding space of the algorithm is fully reserved in the platform, and the replacement and comparison functions of various algorithms are provided; the flexible, safe and user-friendly control and management mode is provided for common control of different water, fertilizer, gas and hot-drug irrigation of field grain crops, fruit forests, greenhouses and the like.
System design and development: the system design and development adopt a loose coupling and distributed architecture, a server and a user interface adopt a front-end and back-end separation mode, and a PC (personal computer) end and a mobile phone android share an API (application program interface); data analysis and service logic are decoupled, and a jobmode asynchronous mode is adopted for management; MQTT is used as a basic communication protocol of the cloud platform and the park irrigation controller.
And (3) system testing and demonstration: the system adopts an iterative rapid development mode, and each iteration completes a minimum available function set for testing and verification. After internal integration testing, the system is deployed on a cloud platform, and field testing and demonstration are carried out in the yellow diversion irrigation and yellow raising irrigation demonstration areas. Exemplary region crop types include: field crops (corn, rice, wheat, harbour vegetables), greenhouse crops (cucumber, tomato), fruit bearing forests (grapes); the cultivation method comprises direct seeding and transplanting; the covering mode comprises covering film and open field; the irrigation technology comprises the following steps: drip irrigation and sprinkling irrigation; the method realizes the real-time monitoring and prediction of weather, soil, texture, water content, temperature, salt content, soil and water potential, fertility and crop growth vigor, such as plant height, leaf number, leaf area index, dry matter accumulation, photosynthesis, fluorescence, quality and yield of an irrigation area, and implements automatic and intelligent water, fertilizer, gas and thermal medicine management by combining with the irrigation system achievement of an SPAC intelligent irrigation research team on the basis.
The software system comprises a user management module, an irrigation area management module, a field management module, a planting management module, an equipment management module, an irrigation decision module, a fertilization decision module, an air-entrapping decision module, a heating strategy module and a knowledge base;
a user management module: carrying out registration, login, quit and logout management on a user applying the water, fertilizer, gas and heat integrated intelligent irrigation system;
the irrigation area management module: the registered user performs addition, deletion and gps positioning operations on the agricultural irrigation area planted by the registered user;
the field management module: dividing planted field blocks in any irrigation area, and binding the planted field blocks with a soil moisture content sensor, a soil oxygen content determinator, a rainfall amount measuring instrument, a field collector, a photovoltaic panel power supply device, an air temperature and humidity sensor, an air speed sensor, a wind direction sensor, an illumination sensor and an irrigation unit main controller of an irrigation area control subsystem of each irrigation area;
a planting management module: the authorized user completes information monitoring in the crop growth process, remote operation of the robot and the unmanned aerial vehicle and observation of the real-time growth condition of the crop by using virtual reality;
a device management module: adding, deleting and binding field blocks of a soil moisture content sensor, a soil oxygen content determinator, a rainfall capacity measuring instrument, a field collector, a photovoltaic panel power supply device, an air temperature and humidity sensor, an air speed sensor, a wind direction sensor, an illumination sensor and an irrigation unit main controller of an irrigation area control subsystem of each irrigation area used in the water, fertilizer, gas and heat integrated intelligent irrigation system;
a water filling decision module: the water, fertilizer, gas and heat integrated intelligent irrigation system formulates irrigation time and irrigation quantity according to the crop type of a field, the suitable soil water content of the crop, the growth stage of the crop, the field water capacity and the wilting water content and the planned irrigation layer thickness so that the current soil water content meets the suitable crop demand;
a fertilization decision module: the water, fertilizer, gas and heat integrated intelligent irrigation system judges the fertility degree of soil according to the contents of nitrogen, phosphorus and potassium in the soil, and formulates the fertilizer type and the fertilizer using amount required by crops according to the crop type and the growth stage, the fertilizer utilization rate and the nutrient content, so that the nutrients of the soil meet the growth requirements of the crops;
a gas filling strategy module: the field air-entrapping mode adopts a deep ploughing or shallow ploughing mode to adjust the field air quantity, for greenhouse crops, an air-entrapping device is adopted, a gas sensor is arranged in the field, and real-time control is performed according to a set soil air quantity threshold value;
a heating strategy module: the field heating mode adopts a film covering mode and a film non-covering mode, the field temperature is adjusted, and for greenhouse crops, a heating device is adopted to carry out real-time control according to the set target temperature of water;
a knowledge base module: and setting corresponding crop growth and planting knowledge bases for different crops, analyzing annual crop growth process data, perfecting the knowledge bases year by year, and finally playing a role in guiding production.
The deployment method of the software system comprises the following steps: a loose coupling and distributed architecture is adopted, a front-end and back-end separation mode is adopted for a server and a user interface, and a PC (personal computer) end and a mobile phone provided with an android system share an API (application program interface); data analysis and service logic are decoupled, and a jobmode asynchronous mode is adopted for management; the MQTT serves as a basic communication protocol of the service cloud platform and the irrigation unit main controller.
The software system adopts an iterative rapid development mode, and each iteration completes a minimum available function set for testing and verification. After the internal integration test, deploy to the service cloud platform 3, the demonstration area in the embodiment of the present invention performs the on-site test and demonstration, and the demonstration area crop types include: field crops, such as corn, rice, wheat, harbour vegetables, greenhouse crops, such as cucumbers, tomatoes, fruit forests; the cultivation method comprises direct seeding and transplanting; the covering mode comprises covering film and open field; the irrigation technology comprises the following steps: drip irrigation and sprinkling irrigation; the method realizes real-time monitoring and prediction of weather, soil texture, water content, temperature, salt content, soil and water potential, fertility and crop growth vigor, such as plant height, leaf number, leaf area index, dry matter accumulation, photosynthesis, fluorescence, quality and yield of an irrigation area, and implements automatic and intelligent water, fertilizer, gas and thermal medicine management by combining with irrigation system achievements of an SPAC intelligent irrigation research team on the basis.
The software system comprises a front-end UI (user interface), an interface layer, a service layer, a data layer, a basic service layer and an operating environment, wherein the operating environment is a cloud platform, the basic service layer comprises a Mysql system, a Stroge system and a Memcache system, the data layer comprises a transaction control system, a data mapping system and a cache system, the service layer comprises a PHP (health record platform) processor and a python setting module, the PHP processor comprises an SPAC (spatial adaptive co-location) monitoring result display module, a real-time data receiving module, a water, fertilizer, medicine and gas control module, an on-site detection data uploading module, a planting management module and a park management module, and the python setting module comprises a knowledge base and an algorithm module; the interface layer comprises a laravel business server, an MQTT communication protocol and a REDIS server, and the front-end UI comprises a management background, a controller, a WeChat and an android system.
A mobile phone of the application terminal is provided with a WeChat program, and the WeChat program comprises a home page module, a system management module, an intelligent control module and a data analysis module;
the home page module comprises a system introduction submodule, an irrigation area profile submodule, an agricultural news submodule, an agricultural business information submodule and a weather forecast submodule, wherein the system introduction submodule comprises: the system is used for displaying the content of the farmland crop water, fertilizer, gas and hot chemical integrated intelligent irrigation service based on the mobile terminal and introducing the version information of the system; irrigation area overview submodule: displaying the infrastructure condition of the park in which the current system is positioned and the park distribution introduction; agricultural news submodule: pushing agricultural related news information in real time, and supporting browsing and forwarding; agricultural business information submodule: publishing agricultural business information and ordering service on an agricultural production data network; a weather forecast submodule: displaying the weather condition at the current moment;
the system management module comprises an irrigation area management submodule, a planting management submodule, an equipment management submodule and a water and electricity charge purchasing submodule; and an irrigation area management submodule: creating and managing an irrigation area, adding or deleting the irrigation area, adding or deleting field blocks, positioning the irrigation area, manually adding irrigation area or field block information, or deleting the existing irrigation area or field block, and performing GPS area positioning on the irrigation area; planting management submodule: managing the planting of crops, selecting corresponding irrigation areas and field blocks, selecting the types of the crops planted in the field blocks, selecting the types of the crops in a library, and setting the growth period of the crops, wherein the types of the crops can be selected, and if the library does not have the crops, the mode of manually adding the types of the crops can also be selected; the device management submodule comprises: adding, deleting and binding irrigation areas or field blocks to an irrigation unit main controller, a header control valve, a water supply control valve, a fertilizer supply control valve, a gas supply control valve, a heat supply control valve and a pesticide supply control valve of an irrigation area control subsystem, wherein the adding method comprises code scanning adding and manual serial number inputting adding, equipment is directly added to a central database, and the equipment is displayed on a page after being added; a water and electricity charge purchasing submodule: purchasing the water and electricity charges;
the intelligent control module comprises an irrigation strategy setting submodule, a fertilization strategy setting submodule, an air entrainment strategy setting submodule, a heating strategy setting submodule and a pesticide application strategy setting submodule; an irrigation strategy setting submodule: setting irrigation strategies, selecting the existing strategies, wherein the existing strategies comprise a manual irrigation mode, a timing control mode and an automatic irrigation mode, and the manual irrigation mode comprises the following steps: manually clicking a switch button, opening or closing the electromagnetic valve, and controlling the mode in a timing mode: the opening and closing of the electromagnetic valve are controlled by setting irrigation time; automatic irrigation mode: setting a threshold value, and judging whether to open or close an irrigation unit main controller, a head control valve, a water supply control valve, a fertilizer supply control valve, a water supply control valve, a heat supply control valve and a pesticide supply control valve of an irrigation area control subsystem according to soil moisture content information; a fertilization strategy setting submodule: manual fertilization, wherein fertilization is performed through manual intervention; setting a fertilization threshold value, and automatically fertilizing according to the soil fertility and the crop growth condition; the gas filling strategy setting submodule comprises a manual control mode and a brake control mode, wherein the manual control mode comprises the following steps: aerating through manual intervention; a braking control mode: setting a threshold value for greenhouse soil aeration setting, judging whether the oxygen content of soil is higher than the threshold value, and automatically aerating if the oxygen content of soil is higher than the threshold value; a heating strategy setting submodule: including heating manual control mode and heating automatic control mode, heating manual control mode: heating by manual intervention; heating automatic control mode: setting a threshold value for setting the temperature in the greenhouse, judging whether the temperature in the greenhouse is lower than the threshold value, and automatically heating if the temperature in the greenhouse is lower than the threshold value; the administration strategy setting submodule comprises: the method comprises a manual pesticide application control mode and an automatic pesticide application control mode, wherein the manual pesticide application control mode comprises the following steps: applying the pesticide by manual intervention according to the pest and disease conditions of crops; automatic control mode of pesticide application: setting a pesticide application threshold value, and automatically applying pesticide;
the data analysis module comprises a real-time data submodule, a real-time curve submodule, a historical data submodule and a crop yield submodule; a real-time data submodule: receiving irrigation configuration information pushed by a service cloud platform and information collected by a field collector; a real-time curve submodule: drawing a change curve of the received information acquired by the field collector, and visually displaying the crop condition of the current irrigation area; the historical data submodule is used for checking the latest data or the previous frame data of the received historical data; and the crop yield submodule analyzes and forecasts the crop yield.
The main development language of the WeChat applet of the mobile phone of the application terminal adopts JavaScript, and can face two major operating systems iOS and the WeChat client of Android, and the JavaScript in the applet is realized by ECMAScript, an applet frame and an applet API. The mobile phone of the application terminal adopts an MQTT protocol, and an MQTT communication system is provided with a publishing server and a plurality of clients. The communication process mainly depends on the subscription and the publishing of the client to the theme. Firstly configuring a theme which is well agreed to realize on a publishing server, and then subscribing the theme to the server if the MQTT client wants to receive the message in the theme. When other clients publish corresponding messages to the topic in the MQTT publishing server after the subscription is successful, the publishing server pushes the messages to the clients subscribing the topic. Meanwhile, in order to ensure the communication efficiency and the requirement of a client, the MQTT protocol is also provided with the functions of QoS, information caching, persistent connection, advice and the like. These special mechanisms of the MQTT protocol make it useful in a variety of harsh environments.
The utility model provides a farmland irrigation zone water, fertilizer, gas and heat medicine integration intelligent irrigation system is a field intellectuality is driped irrigation and sprinkling irrigation control irrigation system based on internet, thing networking, remote sensing technique, sensing and wireless transmission technique, the utility model discloses establish intelligent irrigation information management system, rely on intelligent control irrigation unit mass data to carry out big data analysis, constructed intelligent irrigation information service cloud platform, realize the accurate irrigation in farmland irrigation zone, solved single-point soil moisture content, crop water shortage index, atmospheric evaporation ability index space variation problem and irrigation discrimination standard problem, realized irrigation automation, accurate, institutionalization, platformization and standardization.
Claims (6)
1. The utility model provides a farmland is irritated district water, fertilizer, gas and heat medicine integration intelligent irrigation system which characterized in that: the farmland irrigation area water, fertilizer, gas and hot chemical integrated intelligent irrigation system comprises a plurality of field acquisition control subsystems, a plurality of irrigation area control subsystems, a service cloud platform and an application terminal, wherein the field acquisition control subsystems are in communication connection with the irrigation area control subsystems through wireless nodes, the irrigation area control subsystems are connected with the service cloud platform through the wireless nodes, and the service cloud platform is in communication connection with the application terminal through the wireless nodes.
2. The farmland irrigation zone water, fertilizer, gas and thermal chemical integrated intelligent irrigation system as claimed in claim 1, wherein: the field collection control subsystem comprises a soil moisture content sensor, a soil oxygen content tester, a rainfall measurement instrument, a field collector, a photovoltaic panel power supply device, an air temperature and humidity sensor, an air speed sensor, a wind direction sensor and an illumination sensor, the photovoltaic panel power supply device is electrically connected with the field collector, the soil moisture content sensor, the soil oxygen content tester, the rainfall measurement instrument, the air temperature and humidity sensor, the air speed sensor, the wind direction sensor and the illumination sensor are in communication connection with the field collector, and the field collector is in communication connection with the irrigation area control subsystem through a wireless node.
3. The farmland irrigation zone water, fertilizer, gas and thermal chemical integrated intelligent irrigation system as claimed in claim 2, wherein: the irrigation area control subsystem comprises an irrigation unit main controller, a head control valve, a water supply control valve, a fertilizer supply control valve, a water supply control valve, a heat supply control valve and a pesticide supply control valve, wherein the head control valve, the water supply control valve, the fertilizer supply control valve, the heat supply control valve and the pesticide supply control valve are respectively in communication connection with the irrigation unit main controller, the head control valve is assembled with a main pipeline, the water supply control valve is assembled on a water supply pipeline, the fertilizer supply control valve is assembled on a fertilizer supply pipeline, the gas supply control valve is assembled on an oxygen supply pipeline, the heat supply control valve is assembled on a heating device, the pesticide supply control valve is assembled on a pesticide liquid pipeline, a water inlet of the heating device is connected with a water source, a water outlet of the heating device is connected with the water supply pipeline, the water supply pipeline is connected with a drip irrigation area pipeline, and the fertilizer supply pipeline and.
4. The farmland irrigation zone water, fertilizer, gas and thermal chemical integrated intelligent irrigation system as claimed in claim 3, wherein: the heating device comprises a solar heat collector and a heat exchanger, a cold source inlet of the heat exchanger is connected with a water source, a heat source outlet is connected with a main pipeline, an outlet of the solar heat collector is connected with a heat source inlet of the heat exchanger, a cold source outlet of the heat exchanger is connected with an inlet of the solar heat collector, one end of a water supply pipeline is connected with the water source, the other end of the water supply pipeline is connected with an inlet of a three-way pipeline, an outlet of the three-way pipeline is matched with a heat supply control valve, the heat supply control valve is connected with the cold source inlet of the heat exchanger, and.
5. The farmland irrigation zone water, fertilizer, gas and thermal chemical integrated intelligent irrigation system as claimed in claim 4, wherein: the field acquisition control subsystem further comprises an unmanned aerial vehicle shooting and collecting device, and the unmanned aerial vehicle shooting and collecting device is in communication connection with the field collector through a wireless node.
6. The farmland irrigation zone water, fertilizer, gas and thermal chemical integrated intelligent irrigation system as claimed in claim 5, wherein: the service cloud platform comprises a Web server, a central server and a central database, the Web server and the central database are in communication connection with the central server, the central server is in communication connection with wireless nodes of the irrigation unit main controller of each field irrigation area through a wireless transmitting tower, the application terminal comprises a computer and a mobile phone, the computer is in communication connection with the Web server, and the central server is in communication connection with the mobile phone through the wireless transmitting tower.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202020998678.4U CN212877002U (en) | 2020-06-04 | 2020-06-04 | Water, fertilizer, gas and hot chemical integrated intelligent irrigation system for farmland irrigation area |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202020998678.4U CN212877002U (en) | 2020-06-04 | 2020-06-04 | Water, fertilizer, gas and hot chemical integrated intelligent irrigation system for farmland irrigation area |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN212877002U true CN212877002U (en) | 2021-04-06 |
Family
ID=75266962
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202020998678.4U Active CN212877002U (en) | 2020-06-04 | 2020-06-04 | Water, fertilizer, gas and hot chemical integrated intelligent irrigation system for farmland irrigation area |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN212877002U (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113575389A (en) * | 2021-08-17 | 2021-11-02 | 浙江工业大学 | Intelligent irrigation control system based on raspberry group |
| CN114041408A (en) * | 2021-12-20 | 2022-02-15 | 巫溪县八步云核桃种植有限公司 | Walnut seedling is grown seedlings and is used self-adaptation intelligent irrigation system |
| CN114946350A (en) * | 2022-04-18 | 2022-08-30 | 昆明学院 | Farming pertinence intelligence fertilizer injection unit |
| CN115462230A (en) * | 2022-08-23 | 2022-12-13 | 山东省农业科学院作物研究所 | Winter wheat field liquid manure integration management system |
| GB2612189A (en) * | 2021-09-28 | 2023-04-26 | Inst Of Water Resources For Pastoral Area Mwr | Integrated smart irrigation management control system for water, fertilizer, gas, pesticide and heat, and irrigation method |
-
2020
- 2020-06-04 CN CN202020998678.4U patent/CN212877002U/en active Active
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113575389A (en) * | 2021-08-17 | 2021-11-02 | 浙江工业大学 | Intelligent irrigation control system based on raspberry group |
| GB2612189A (en) * | 2021-09-28 | 2023-04-26 | Inst Of Water Resources For Pastoral Area Mwr | Integrated smart irrigation management control system for water, fertilizer, gas, pesticide and heat, and irrigation method |
| GB2612189B (en) * | 2021-09-28 | 2024-01-31 | Inst Of Water Resources For Pastoral Area Mwr | Integrated smart irrigation management control system for water, fertilizer, gas, pesticide and heat, and irrigation method |
| CN114041408A (en) * | 2021-12-20 | 2022-02-15 | 巫溪县八步云核桃种植有限公司 | Walnut seedling is grown seedlings and is used self-adaptation intelligent irrigation system |
| CN114946350A (en) * | 2022-04-18 | 2022-08-30 | 昆明学院 | Farming pertinence intelligence fertilizer injection unit |
| CN115462230A (en) * | 2022-08-23 | 2022-12-13 | 山东省农业科学院作物研究所 | Winter wheat field liquid manure integration management system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111480554A (en) | Water, fertilizer, gas and hot chemical integrated intelligent irrigation system for farmland irrigation area | |
| CN212877002U (en) | Water, fertilizer, gas and hot chemical integrated intelligent irrigation system for farmland irrigation area | |
| CN107945042B (en) | Crop growth irrigation decision control system | |
| CN104866970B (en) | Intelligent Cultivate administration method and intelligent planting equipment | |
| CN110347127A (en) | Crop planting mandatory system and method based on cloud service | |
| Müller et al. | Optimizing drip irrigation for eggplant crops in semi-arid zones using evolving thresholds | |
| Snyder et al. | Advances in ET-based landscape irrigation management | |
| CN107807598A (en) | Internet of Things+water saving, the fertile Precision Irrigation system and method for section | |
| Kondratieva et al. | Using digital technologies in horticulture | |
| CN108781926A (en) | Greenhouse irrigation system based on neural network prediction and method | |
| Ncube et al. | Precision agriculture and food security in Africa | |
| CN114128608B (en) | Orchard irrigation management method and system | |
| CN114723113A (en) | Agricultural automated production management system | |
| Vanomark et al. | Energy balance partitioning and evapotranspiration from irrigated muskmelon under semi-arid conditions | |
| Namana et al. | Internet of Things for Smart Agriculture–State of the Art. and Challenges | |
| Plaščak et al. | An overview of precision irrigation systems used in agriculture | |
| CN110432046B (en) | Intelligent irrigation system in greenhouse | |
| Maraš et al. | Precision viticulture using wireless sensor network | |
| Youness et al. | Machine learning-based smart irrigation monitoring system for agriculture applications using free and low-cost IoT platform | |
| CN111223003A (en) | Production area-oriented planting decision service system and method | |
| Moreno et al. | IoT-based automated greenhouse for deep water culture hydroponic system | |
| Dhillon | Development and evaluation of a continuous leaf monitoring system for measurement of plant water status | |
| Mittal et al. | IoT-based precision monitoring of horticultural crops—A case-study on cabbage and capsicum | |
| AU2021103170A4 (en) | OCTOPIDER: A doorstep solution for Farmers | |
| CN206389877U (en) | A kind of full-automatic intelligent agricultural greenhouse |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| GR01 | Patent grant | ||
| GR01 | Patent grant |