CN106707767B - Multi-source information fusion-based intelligent management and control system and method for field water and fertilizer integration - Google Patents
Multi-source information fusion-based intelligent management and control system and method for field water and fertilizer integration Download PDFInfo
- Publication number
- CN106707767B CN106707767B CN201710148123.3A CN201710148123A CN106707767B CN 106707767 B CN106707767 B CN 106707767B CN 201710148123 A CN201710148123 A CN 201710148123A CN 106707767 B CN106707767 B CN 106707767B
- Authority
- CN
- China
- Prior art keywords
- fertigation
- fertilizer
- data
- irrigation
- sensor
- 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
- 239000003337 fertilizer Substances 0.000 title claims abstract description 170
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 81
- 238000000034 method Methods 0.000 title claims abstract description 26
- 230000004927 fusion Effects 0.000 title claims abstract description 19
- 230000010354 integration Effects 0.000 title description 5
- 238000003973 irrigation Methods 0.000 claims abstract description 95
- 230000002262 irrigation Effects 0.000 claims abstract description 93
- 230000004720 fertilization Effects 0.000 claims abstract description 53
- 239000012452 mother liquor Substances 0.000 claims abstract description 34
- 238000012544 monitoring process Methods 0.000 claims abstract description 20
- 238000001514 detection method Methods 0.000 claims abstract description 13
- 230000008569 process Effects 0.000 claims abstract description 11
- 230000033228 biological regulation Effects 0.000 claims abstract description 10
- 238000005286 illumination Methods 0.000 claims description 36
- 239000002689 soil Substances 0.000 claims description 30
- 230000007246 mechanism Effects 0.000 claims description 28
- 238000002347 injection Methods 0.000 claims description 25
- 239000007924 injection Substances 0.000 claims description 25
- 238000007726 management method Methods 0.000 claims description 19
- 238000004891 communication Methods 0.000 claims description 18
- 238000012545 processing Methods 0.000 claims description 18
- 239000007788 liquid Substances 0.000 claims description 15
- 244000037666 field crops Species 0.000 claims description 12
- 238000003756 stirring Methods 0.000 claims description 12
- 238000002360 preparation method Methods 0.000 claims description 11
- 230000003993 interaction Effects 0.000 claims description 10
- 238000013178 mathematical model Methods 0.000 claims description 10
- 238000007599 discharging Methods 0.000 claims description 9
- 238000001914 filtration Methods 0.000 claims description 9
- 230000009471 action Effects 0.000 claims description 6
- 239000004973 liquid crystal related substance Substances 0.000 claims description 6
- 238000005259 measurement Methods 0.000 claims description 6
- 230000035772 mutation Effects 0.000 claims description 6
- 238000001556 precipitation Methods 0.000 claims description 6
- 238000003860 storage Methods 0.000 claims description 6
- 238000005457 optimization Methods 0.000 claims description 5
- 241000238631 Hexapoda Species 0.000 claims description 3
- 241000607479 Yersinia pestis Species 0.000 claims description 3
- 238000004458 analytical method Methods 0.000 claims description 3
- 238000013500 data storage Methods 0.000 claims description 3
- 238000003745 diagnosis Methods 0.000 claims description 3
- 201000010099 disease Diseases 0.000 claims description 3
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims description 3
- 239000010410 layer Substances 0.000 claims description 3
- 230000001105 regulatory effect Effects 0.000 claims description 3
- 239000002344 surface layer Substances 0.000 claims description 3
- 238000004090 dissolution Methods 0.000 abstract description 3
- 239000007787 solid Substances 0.000 abstract description 2
- 238000005516 engineering process Methods 0.000 description 5
- WCUXLLCKKVVCTQ-UHFFFAOYSA-M Potassium chloride Chemical compound [Cl-].[K+] WCUXLLCKKVVCTQ-UHFFFAOYSA-M 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 239000003621 irrigation water Substances 0.000 description 2
- FGIUAXJPYTZDNR-UHFFFAOYSA-N potassium nitrate Chemical compound [K+].[O-][N+]([O-])=O FGIUAXJPYTZDNR-UHFFFAOYSA-N 0.000 description 2
- XSQUKJJJFZCRTK-UHFFFAOYSA-N Urea Chemical compound NC(N)=O XSQUKJJJFZCRTK-UHFFFAOYSA-N 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000004202 carbamide Substances 0.000 description 1
- 235000013877 carbamide Nutrition 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000010413 mother solution Substances 0.000 description 1
- 235000011164 potassium chloride Nutrition 0.000 description 1
- 239000001103 potassium chloride Substances 0.000 description 1
- 235000010333 potassium nitrate Nutrition 0.000 description 1
- 239000004323 potassium nitrate Substances 0.000 description 1
- 239000007921 spray Substances 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
- G05B13/042—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Evolutionary Computation (AREA)
- Medical Informatics (AREA)
- Software Systems (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Fertilizing (AREA)
- Fertilizers (AREA)
Abstract
The invention relates to a farmland water and fertilizer integrated intelligent management and control system and method based on multisource information fusion, comprising a weather forecast query receiving subsystem, a weather real-time data acquisition control subsystem, a cloud computing platform, a central control unit, an fertigation control subsystem and an fertigation state monitoring and online fault detection system; the invention relates to an automatic control system which can provide weather forecast inquiry, crop cloud computing platform inquiry, farmland weather real-time acquisition, solid fertilizer rapid dissolution, mother liquor real-time monitoring regulation and control, fertigation state monitoring, online fault detection, fertigation and remote intelligent control functions; according to the invention, factors such as weather forecast, cloud computing platform, real-time acquisition of weather, growth conditions in the growth process of crops and the like can be comprehensively considered, corresponding irrigation and fertilization decisions can be made, and precise irrigation and precise fertilization can be accurately carried out; the crop growth situation can be described in real time, and irrigation and fertilization can be performed according to the crop growth situation in time.
Description
Technical Field
The invention relates to a field water and fertilizer integrated intelligent management and control system and method based on multisource information fusion, and belongs to the technical field of water and fertilizer integration.
Background
The water and fertilizer integrated micro-irrigation technology is a novel agricultural technology integrating micro-irrigation and fertilization. The method is a practical mode which can fully combine irrigation and fertilization together, fundamentally save irrigation water and furthest improve the fertilizer utilization rate. At present, in order to save labor and irrigation water, improve the fertilizer utilization rate, a farmland water and fertilizer integrated system is gradually applied to the farmland, and the farmland water and fertilizer integrated system gradually becomes an important trend of agricultural farmland production in the future. However, most of the applications in practical operation mainly depend on cultivation experience of users, and even if some farmland water and fertilizer integrated systems realize a certain degree of automation, the problems of optimal control of irrigation quantity, fertilization quantity, irrigation and fertilization time are still not easy to realize. The method is mainly characterized in that in practical application, comprehensive, effective, water-saving and electricity-saving application decisions for integrating the water and fertilizer of the farmland can not be carried out due to the fact that future weather, farmland and environment data and planting agriculture can not be combined.
According to the document search of the prior art, the Chinese patent invention 'intelligent water-saving irrigation and fertilization system and control method' (201110034371.8) discloses the functions of realizing energy saving and water saving, remote control, unattended operation, automatic alarm, irrigation and fertilization guidance and the like of the irrigation system. The invention relates to an integrated intelligent control system for soil moisture measurement, irrigation and water and fertilizer and a control method thereof (CN 201510673554.2), which discloses a device system consisting of a soil moisture content acquisition station, a central control unit for storing soil moisture content information and an irrigation unit, wherein an illumination intensity detection circuit, an air temperature and humidity detection circuit and a fertilizer application unit are additionally arranged in the control system. The patent relates to an irrigation and fertilization link for integrated management of water and fertilizer, a soil temperature and humidity and a farmland meteorological data acquisition link and an intelligent control method. None of the above patents, however, involve the combination of weather forecast information, expert decision systems, and field environmental test data, and thus do not allow for accurate fertigation decisions. The patent is suitable for liquid fertilizer, and the cost of fertilizer application is increased for granular fertilizer commonly used for field fertilizer application.
Along with the improvement of accurate agriculture, the requirement on water and fertilizer integrated intelligent prediction irrigation is gradually improved, and a farmland water and fertilizer integrated intelligent management and control system and method based on multi-source information fusion are urgently needed, so that the intelligent prediction irrigation and fertilization technology integrating weather forecast inquiry, a crop cloud computing platform, farmland weather real-time acquisition, solid-state granular fertilizer rapid dissolution, mother liquor real-time monitoring and regulation, irrigation and fertilization state monitoring, online fault detection and irrigation and fertilization into a whole is realized, and the intelligent prediction irrigation and fertilization technology has important practical significance on improving water and fertilizer integrated efficiency and increasing grain yield.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides an intelligent farmland water and fertilizer integrated management and control system and method based on multi-source information fusion, which can provide an automatic control system integrating weather forecast inquiry, crop cloud computing platform inquiry, farmland weather real-time acquisition, solid fertilizer rapid dissolution, mother liquor real-time monitoring and regulation, fertigation state monitoring, online fault detection, fertigation and remote intelligent control functions.
A farmland water and fertilizer integrated intelligent management and control system based on multisource information fusion comprises a weather forecast query receiving subsystem, a weather real-time data acquisition control subsystem, a cloud computing platform, a central control unit, an irrigation and fertilization control subsystem and an irrigation and fertilization state monitoring and online fault detection system.
The weather forecast inquiry receiving subsystem can inquire the weather conditions of several days in the future, and the GPRS communication module is utilized to access a central weather database from a national weather network through a weather forecast data interface provided by a national weather bureau, inquire real-time weather forecast, transmit the received data to the weather forecast inquiry receiving subsystem, and transmit the data to the central control unit through a system bus to provide real-time weather forecast data for the central control unit to make irrigation and fertilization decisions.
The meteorological real-time data acquisition control subsystem comprises a meteorological real-time data acquisition controller, a soil moisture sensor, a wind speed sensor, an air temperature sensor, an illumination sensor and a rainfall sensor. The real-time data acquisition controller is used for acquiring real-time meteorological data of each farmland, transmitting the data to the central control unit through the system bus, and being arranged on the surface of the farmland through the meteorological monitoring bracket; the soil moisture sensor is an existing plug-in-place measuring type, and can perform fixed-point monitoring and online measurement of soil moisture content on surface layer and deep layer soil; the wind speed sensor, the air temperature sensor, the illumination sensor and the rainfall sensor are all installed on the support frame and are connected with the real-time data acquisition controller through the sensor data acquisition bus, and the wind speed sensor, the air temperature sensor, the illumination sensor and the rainfall sensor are used for acquiring data of field wind speed, air temperature, illumination and rainfall and transmitting the data to the real-time data acquisition controller through the sensor data acquisition bus.
The cloud computing platform is a comprehensive cloud computing platform combining computation and data storage processing, and is used for computing and storing data of a weather real-time data acquisition control subsystem and a weather forecast query receiving subsystem and historical data of annual growth water and fertilizer demand and irrigation and fertilizer demand time of field crops, transmitting the data to an intelligent irrigation and fertilizer decision expert system software module of a central control unit through a GPRS communication module, and providing annual growth water and fertilizer demand data of crops for the intelligent irrigation and fertilizer decision expert system software module to make irrigation and fertilizer decisions.
The central control unit is used for running intelligent predictive fertigation control system software and can execute data communication processing, fertigation intelligent decision making, fault diagnosis and error processing for establishing a fertigation mathematical model and a fertigation state; the intelligent predictive fertigation control system software comprises a data communication and processing software module, a fertigation intelligent decision expert system software module, a fertigation model, a precision fertigation algorithm software module and an automation system error processing software module (the intelligent predictive fertigation control system software can be programmed according to the prior art). The data communication and processing software module can receive the data of the cloud computing platform through the system bus and perform simple data operation and processing analysis, so as to provide data basis for decision making of the fertigation intelligent decision expert system software module; the intelligent decision expert system software module for fertigation can make a decision for fertigation according to data transmitted by the cloud computing platform, and the specific decision comprises: according to real-time weather and soil moisture, wind speed, air temperature and illumination in a field, and weather forecast prediction, according to the annual growth water and fertilizer requirement and irrigation and fertilizer application time of various field crops stored in a cloud computing platform, an expert and a grain grower make decisions on the annual growth and fertilizer application time and the irrigation and fertilizer application amount of the crops, and further control the irrigation and fertilizer application time and the irrigation and fertilizer application amount; the fertigation model and the precise fertigation algorithm software module can establish a fertigation and fertilizer mother liquor dynamic regulation mathematical model according to decisions made by the fertigation intelligent decision expert system software module, so that an optimization algorithm is determined to realize precise fertigation; the automatic system error processing software module detects real readings of the pressure sensor and the flow sensor according to signals fed back by the fertigation state monitoring and online fault detection system, determines the fault position and overhauls the fault position so as to ensure the normal pressure and flow in the pipeline.
The fertigation control subsystem can execute fertigation operation according to the decision of the fertigation intelligent decision expert system software module, and comprises a fertigation execution unit and a fertigation controller.
The fertigation execution unit comprises a precise fertilizer preparation device and a head junction device. The precise fertilizer preparation device comprises a precise fertilizer mechanism and a stirrer, and is used for precise fertilizer discharge and concentration-controllable mother liquor preparation; the precise fertilizer mechanism is formed by assembling the existing spiral augers; the stirrer is used for stirring, dissolving and filtering the granular fertilizer. The head junction device can adopt the existing equipment (such as a movable micro-spray water and fertilizer integrated comprehensive management system with the application number of 201610539657.4) and a management and control method thereof; the head junction device comprises a main pipeline, a water pump, a check valve, a pressure gauge, a filter, an electromagnetic valve, a mother liquor tank, a fertilizer injection pump, a mother liquor tank water inlet pipe and a mother liquor tank liquid outlet pipe; the head junction device is used for water source water taking and pressurizing, providing clear water for mother liquor with controllable concentration, and carrying out filtering treatment to carry out pressurizing, water supply, filtering and measuring tasks of the whole fertigation system;
the fertigation controller can control the actions of the precise fertilizer mechanism, the fertilizer injection pump, the stirrer and the electromagnetic valve according to the data measured by the sensor module to realize the configuration of precise fertilizer discharge and concentration adjustable mother liquor; the fertigation controller comprises a precise fertilizer mechanism controller, a stirrer controller, a fertilizer injection pump controller, a sensor module and a system man-machine interaction module; the fertigation controller adopts an STM32 type singlechip; the sensor module comprises an EC sensor, a PH sensor, a pressure sensor and a flow sensor, and is connected with the fertigation controller through a sensor data acquisition bus for communication; the EC sensor and the PH sensor are arranged on the side surface of the bottom of the mother liquid tank and are used for detecting the EC value and the PH value of the mother liquid in the mother liquid tank; the pressure sensor is arranged at the tail end of the main pipeline and is used for detecting the pressure of the main pipeline; the flow sensors are respectively arranged on the water inlet pipe of the mother liquor tank, the liquid outlet pipe of the mother liquor tank and the main pipeline and are used for detecting the flow entering and exiting the mother liquor tank and the main pipeline; one end of the precise fertilizer mechanism controller is connected with the fertigation controller, the other end of the precise fertilizer mechanism controller is connected with the precise fertilizer mechanism, and the fertigation controller outputs a signal to control the precise fertilizer mechanism to act; one end of the stirrer controller is connected with the fertigation controller, the other end of the stirrer controller is connected with the stirrer motor, and the fertigation controller outputs a signal to control the stirring motor to act; and one end of the fertilizer injection pump controller is connected with the fertigation controller, the other end of the fertilizer injection pump controller is connected with the fertilizer injection pump, and the output flow of the fertilizer injection pump is regulated by the output signal of the fertigation controller. The system man-machine interaction module can realize man-machine interaction, is convenient for an expert and a grain grower to input crop growth vigor to the central control unit at any time so as to enable the fertigation intelligent decision expert system software module to make decisions, and comprises a computer host, a liquid crystal screen, a keyboard and a mouse, wherein the computer host is used for installing various software of the central control unit; the liquid crystal screen, the keyboard and the mouse are all connected with the computer host through data lines.
The system is used for detecting the state and faults of the whole system in the process of fertigation in real time and feeding back the state and faults to the central control unit through a system bus, and an automatic system error processing software module of the central control unit performs corresponding operation and alarm through the fertigation control subsystem.
The invention discloses a control method of an intelligent farmland water and fertilizer integrated management and control system based on multisource information fusion, which comprises the following steps:
1) Weather forecast query receiving work: when the weather forecast inquiring and receiving module is used, an operator accesses a central weather database from a national weather network through a weather forecast data interface provided by a national weather bureau to inquire real-time weather forecast, receives data and transmits the data to a weather forecast inquiring and receiving subsystem, and then transmits the data to a central control unit through a system bus to provide real-time weather forecast data for the central control unit to make irrigation and fertilization decisions.
2) Weather real-time data acquisition work: in the process of meteorological real-time data acquisition, a soil moisture sensor, a wind speed sensor, an air temperature sensor, an illumination sensor and a rainfall sensor transmit acquired data to a real-time data acquisition controller through a sensor data acquisition bus, the real-time data acquisition controller transmits the data to a central control unit through a system bus, and an intelligent fertigation decision expert system software module of the central control unit makes fertigation decisions.
3) Irrigation and fertilization decision-making work: the fertigation decision-making is based on real-time weather and soil moisture, wind speed, air temperature and illumination in the field, and is combined with weather forecast prediction, and according to the historical storage of the annual water and fertilizer requirements of various field crops, the fertigation time and the field description of crop growth conditions in a cloud computing platform, four kinds of data are cooperatively processed by an fertigation intelligent decision-making expert system software module, the best fertigation decision-making is optimally generated, and the four kinds of data are cooperatively processed by adopting an ECA rule processing mechanism.
Defining an ECA rule is a triplet defined as r= (E, C, a). Wherein E is an event that activates the rule; c is a condition set for reflecting different conditions in the environment; a is the operation set (or action set). C is herein generically referred to as an object variable. The object variable is a characteristic or parameter, referred to as a variable for short, that affects the selection of the working flow path, which is involved in the data flow. Variables are denoted as xi, and the variable set is denoted as x= { X1, X2, …, xk }. The range of values of the variable xi is a domain, and is denoted by the symbol Di.
Define x= { X1, X2, X3, X4}; x1 is local real-time meteorological data, x2 is historical data of crop growth, x3 is weather forecast data, and x4 is field description data of crop growth vigor.
D1 The sensor detects data such as field temperature, humidity, illumination intensity, wind speed and the like;
d2 Data of = { water and fertilizer demand and irrigation and fertilization time required for annual growth of crops in past year };
d3 Data of = { weather forecast temperature, rainfall, humidity, illumination, wind speed, etc };
d4 = { field description data for crop seedling conditions, growth vigor, diseases and insect pests, etc. };
a= { speed-up of precise fertilizer discharging motor, speed-down of precise fertilizer discharging motor, start of fertilizer injection pump, stop of fertilizer injection pump, start of electromagnetic valve, stop of electromagnetic valve, start of stirring motor, stop of stirring motor }
E= { policy 1, policy 2, policy 3}
Strategy 1: irrigation: when the weather is normal, the soil humidity reaches a preset lower limit value, and irrigation is started; and stopping irrigation after the humidity reaches the proper level for crop growth.
Strategy 2: irrigation and fertilization: according to the historical storage of the water and fertilizer requirement amount, irrigation and fertilization time and the field description of crop growth vigor of various field crops in a cloud computing platform, the fertilization amount is controlled, the time and the time of fertilization are reached, the crop growth vigor is poor, the fertilization is needed, and the fertilization is carried out under the condition of irrigation.
Strategy 3: in the weather condition forecast in three days in the future, the water is rainy and the precipitation meets the water demand of the crop growth, irrigation is not carried out, and no water is rainy or rainy but the precipitation does not meet the water demand of the crop growth, and irrigation is carried out.
The average data temperature T0, the humidity H0, the illumination intensity L0 and the wind speed V0 in the same time within three years; weather forecast data temperature T2, wind speed V2, humidity H2, illumination intensity L2 and air pressure P2; the measured real-time parameters include temperature T1, humidity H1, illumination intensity L1, wind speed V1 and air pressure P1. According to the following formula
And processing the measured data, wherein K1 is a weighted value (a value range of 1-10) of the weather forecast such as rain and snow on the same day in the last three years, K2 is a weighted value (a value range of 1-10) of the weather forecast such as rain and snow, K3 is a weighted value (1-10) of the historical data, and K4 is a weighted value (a value range of 1-10) of the weather forecast data.
A threshold value S0 for judging weather mutation is set.
When S < S0, the weather is normal, and irrigation or fertigation can be performed.
When S is more than or equal to S0, the weather mutation is indicated, the probability of rain and snow is high, and irrigation or fertigation is not performed.
4) Irrigation and fertilization execution work: in the process of executing the work of the fertigation, a fertigation decision is firstly made through a fertigation intelligent decision expert system software module in the central control unit, and then a fertigation model and a precision fertigation algorithm software module are established according to the decision made by the fertigation intelligent decision expert system software module, so that an optimization algorithm is determined to realize the precision fertigation; the central control unit transmits the dynamic regulation mathematical model of the fertigation and fertilizer mother liquor to the fertigation control subsystem through a system bus, and a fertigation controller of the fertigation control subsystem controls the precise fertilizer discharging device and the head junction device to finish specific fertigation operation.
The invention has the beneficial effects that:
1) The invention can comprehensively consider factors such as weather forecast, cloud computing platform, real-time acquisition of weather, growth conditions in the growth process of crops and the like, make corresponding fertigation decisions, and accurately perform precise irrigation and precise fertigation.
2) The invention has the advantages of simple structure, higher automation degree, high working efficiency, convenient movement and no limitation of regions.
The invention can realize the water-fertilizer integration of the granular fertilizer with good solubility, such as urea, potassium chloride, potassium nitrate and the like, greatly reduces the cost and expands the application range of the water-fertilizer integration technology.
4) The invention can realize automatic fertilizer preparation and mother liquor preparation along with discharge, improves the working continuity of the device, and saves time and labor.
5) The invention has good man-machine interaction interface, can describe the crop growth in real time, and timely irrigates and fertilizes according to the crop growth.
6) The invention can detect the state of fertigation in real time, diagnose faults on line and respond in time.
Drawings
FIG. 1 is a schematic structural diagram of a farmland water and fertilizer integrated intelligent management and control system based on multisource information fusion
FIG. 2 is a functional flow chart of a farmland water and fertilizer integrated intelligent management and control system based on multi-source information fusion
FIG. 3 is a schematic block diagram of a farmland water and fertilizer integrated intelligent control system based on multisource information fusion
Detailed Description
The patent of the invention is further described below with reference to the accompanying drawings. The invention discloses a farmland water and fertilizer integrated intelligent management and control system based on multisource information fusion, which is shown in figures 1, 2 and 3. The intelligent predictive fertigation system comprises a weather forecast query receiving subsystem, a weather real-time data acquisition control subsystem, a cloud computing platform, a central control unit, a fertigation control subsystem and an fertigation state monitoring and online fault detection system.
The invention discloses a farmland water and fertilizer integrated intelligent management and control system based on multisource information fusion, which comprises a weather forecast query receiving subsystem, a weather real-time data acquisition control subsystem, a cloud computing platform, a central control unit, an irrigation and fertilization control subsystem and an irrigation and fertilization state monitoring and online fault detection system.
The weather forecast inquiry receiving subsystem can inquire the weather conditions of several days in the future, and the GPRS communication module is utilized to access a central weather database from a national weather network through a weather forecast data interface provided by a national weather bureau, inquire real-time weather forecast, transmit the received data to the weather forecast inquiry receiving subsystem, and transmit the data to the central control unit through a system bus to provide real-time weather forecast data for the central control unit to make irrigation and fertilization decisions.
The meteorological real-time data acquisition control subsystem comprises a meteorological real-time data acquisition controller, a soil moisture sensor, a wind speed sensor, an air temperature sensor, an illumination sensor and a rainfall sensor. The real-time data acquisition controller is used for acquiring real-time meteorological data of each farmland, transmitting the data to the central control unit through the system bus, and being arranged on the surface of the farmland through the meteorological monitoring bracket; the soil moisture sensor is used for carrying out fixed-point monitoring and online measurement on soil moisture content of surface layer and deep layer soil and is arranged at a corresponding position under the ground surface; the wind speed sensor, the air temperature sensor, the illumination sensor and the rainfall sensor are all installed on the support frame and are connected with the real-time data acquisition controller through the sensor data acquisition bus, and the wind speed sensor, the air temperature sensor, the illumination sensor and the rainfall sensor are used for acquiring data of field wind speed, air temperature, illumination and rainfall and transmitting the data to the real-time data acquisition controller through the sensor data acquisition bus.
The cloud computing platform is a comprehensive cloud computing platform combining computation and data storage processing, and is used for computing and storing data of a weather real-time data acquisition control subsystem and a weather forecast query receiving subsystem and historical data of annual growth water and fertilizer demand and irrigation and fertilizer demand time of field crops, transmitting the data to an intelligent irrigation and fertilizer decision expert system software module of a central control unit through a GPRS communication module, and providing annual growth water and fertilizer demand data of crops for the intelligent irrigation and fertilizer decision expert system software module to make irrigation and fertilizer decisions.
The central control unit is used for running intelligent predictive fertigation control system software, and can execute data communication processing, fertigation intelligent decision making, fault diagnosis and error processing for establishing a fertigation mathematical model and a fertigation state, and the system software comprises a data communication and processing software module, a fertigation intelligent decision expert system software module, a fertigation model, a precise fertigation algorithm software module and an automation system error processing software module. The data communication and processing software module can receive the data of the cloud computing platform through the system bus and perform simple data operation and processing analysis, so as to provide data basis for decision making of the fertigation intelligent decision expert system software module; the intelligent decision expert system software module for fertigation can make a decision for fertigation according to data transmitted by the cloud computing platform, and the specific decision comprises: according to real-time weather and soil moisture, wind speed, air temperature and illumination in a field, and weather forecast prediction, according to the annual growth water and fertilizer requirement and irrigation and fertilizer application time of various field crops stored in a cloud computing platform, an expert and a grain grower make decisions on the annual growth and fertilizer application time and the irrigation and fertilizer application amount of the crops, and further control the irrigation and fertilizer application time and the irrigation and fertilizer application amount; the fertigation model and the precise fertigation algorithm software module can establish a fertigation and fertilizer mother liquor dynamic regulation mathematical model according to decisions made by the fertigation intelligent decision expert system software module, so that an optimization algorithm is determined to realize precise fertigation; the automatic system error processing software module can perform corresponding operation according to signals fed back by the fertigation state monitoring and online fault detection system, and mainly detects whether the pressure and the flow in the pipeline work normally or not through the pressure sensor and the flow sensor.
The fertigation control subsystem can execute fertigation operation according to the decision of the fertigation intelligent decision expert system software module, and comprises a fertigation execution unit and a fertigation controller.
The fertigation execution unit comprises a precise fertilizer preparation device and a head junction device. The precise fertilizer preparation device comprises a precise fertilizer mechanism and a stirrer, and is used for precise fertilizer discharge and concentration-controllable mother liquor preparation; the precise fertilizer mechanism is formed by assembling the existing spiral augers; the stirrer is used for stirring, dissolving and filtering the granular fertilizer. The head junction device is used for taking water from a water source and pressurizing, providing clear water for the mother liquor with controllable concentration, and carrying out filtration treatment to carry out pressurization, water supply, filtration and measurement tasks of the whole fertigation system, wherein the tasks comprise a main pipeline, a water pump, a check valve, a pressure gauge, a filter, an electromagnetic valve, a mother liquor tank, a fertilizer injection pump, a mother liquor tank water inlet pipe and a mother liquor tank liquid outlet pipe.
The fertigation controller can control the actions of the precise fertilizer mechanism, the fertilizer injection pump, the stirrer and the electromagnetic valve according to the data measured by the sensor module to realize the precise fertilizer discharge and the configuration of the concentration-adjustable mother solution, and comprises the fertigation controller, the precise fertilizer mechanism controller, the stirrer controller, the fertilizer injection pump controller, the sensor module and the system man-machine interaction module. The fertigation controller adopts an STM32 type singlechip; the sensor module is connected with the fertigation controller through a sensor data acquisition bus and communicated with each other, and comprises an EC sensor, a PH sensor, a pressure sensor and a flow sensor, wherein the EC sensor and the PH sensor are arranged on the side surface of the bottom of the mother liquid tank and are used for detecting the EC value and the PH value of the mother liquid in the mother liquid tank; the pressure sensor is arranged at the tail end of the main pipeline and is used for detecting the pressure of the main pipeline; the flow sensors are respectively arranged on the water inlet pipe of the mother liquor tank, the liquid outlet pipe of the mother liquor tank and the main pipeline and are used for detecting the flow entering and exiting the mother liquor tank and the main pipeline; one end of the precise fertilizer mechanism controller is connected with the fertigation controller, the other end of the precise fertilizer mechanism controller is connected with the precise fertilizer mechanism, and the fertigation controller outputs a signal to control the precise fertilizer mechanism to act; one end of the stirrer controller is connected with the fertigation controller, the other end of the stirrer controller is connected with the stirrer motor, and the fertigation controller outputs a signal to control the stirring motor to act; and one end of the fertilizer injection pump controller is connected with the fertigation controller, the other end of the fertilizer injection pump is connected with the fertigation controller, and the output flow of the fertilizer injection pump is regulated by the output signal of the fertigation controller. The system man-machine interaction module can realize man-machine interaction, is convenient for an expert and a grain grower to input crop growth vigor to the central control unit at any time so as to enable the fertigation intelligent decision expert system software module to make decisions, and comprises a computer host, a liquid crystal screen, a keyboard and a mouse, wherein the computer host is used for installing each software of the central control unit; the liquid crystal screen, the keyboard and the mouse are all connected with the computer host through data lines.
The system is used for detecting the state and faults of the whole system in the process of fertigation in real time and feeding back the state and faults to the central control unit through a system bus, and an automatic system error processing software module of the central control unit performs corresponding operation and alarm through the fertigation control subsystem.
The invention discloses a control method of an intelligent farmland water and fertilizer integrated management and control system based on multisource information fusion, which comprises the following steps:
1) Weather forecast query receiving work: when the weather forecast inquiring and receiving module is used, an operator accesses a central weather database from a national weather network through a weather forecast data interface provided by a national weather bureau to inquire real-time weather forecast, receives data and transmits the data to a weather forecast inquiring and receiving subsystem, and then transmits the data to a central control unit through a system bus to provide real-time weather forecast data for the central control unit to make irrigation and fertilization decisions.
2) Weather real-time data acquisition work: in the process of meteorological real-time data acquisition, a soil moisture sensor, a wind speed sensor, an air temperature sensor, an illumination sensor and a rainfall sensor transmit acquired data to a real-time data acquisition controller through a sensor data acquisition bus, the real-time data acquisition controller transmits the data to a central control unit through a system bus, and an intelligent fertigation decision expert system software module of the central control unit makes fertigation decisions.
3) Irrigation and fertilization decision-making work: the fertigation decision-making is based on real-time weather and soil moisture, wind speed, air temperature and illumination in the field, and is combined with weather forecast prediction, and according to the historical storage of the annual water and fertilizer requirements of various field crops, the fertigation time and the field description of crop growth conditions in a cloud computing platform, four kinds of data are cooperatively processed by an fertigation intelligent decision-making expert system software module, the best fertigation decision-making is optimally generated, and the four kinds of data are cooperatively processed by adopting an ECA rule processing mechanism.
Definition: an ECA rule is a triplet defined as r= (E, C, a). Wherein E is an event that activates the rule; c is a condition set for reflecting different conditions in the environment; a is the operation set (or action set). C is herein generically referred to as an object variable. The object variable is a characteristic or parameter, referred to as a variable for short, that affects the selection of the working flow path, which is involved in the data flow. Variables are denoted as xi, and the variable set is denoted as x= { X1, X2, …, xk }. The range of values of the variable xi is a domain, and is denoted by the symbol Di.
Define x= { X1, X2, X3, X4}; x1 is local real-time meteorological data, x2 is historical data of crop growth, x3 is weather forecast data, and x4 is field description data of crop growth vigor.
D1 The sensor detects data such as field temperature, humidity, illumination intensity, wind speed and the like;
d2 Data of = { water and fertilizer demand and irrigation and fertilization time required for annual growth of crops in past year };
d3 Data of = { weather forecast temperature, rainfall, humidity, illumination, wind speed, etc };
d4 = { field description data for crop seedling conditions, growth vigor, diseases and insect pests, etc. };
a= { speed-up of precise fertilizer discharging motor, speed-down of precise fertilizer discharging motor, start of fertilizer injection pump, stop of fertilizer injection pump, start of electromagnetic valve, stop of electromagnetic valve, start of stirring motor, stop of stirring motor }
E= { policy 1, policy 2, policy 3}
Strategy 1: irrigation: when the weather is normal, the soil humidity reaches a preset lower limit value, and irrigation is started; and stopping irrigation after the humidity reaches the proper level for crop growth.
Strategy 2: irrigation and fertilization: according to the historical storage of the water and fertilizer requirement amount, irrigation and fertilization time and the field description of crop growth vigor of various field crops in a cloud computing platform, the fertilization amount is controlled, the time and the time of fertilization are reached, the crop growth vigor is poor, the fertilization is needed, and the fertilization is carried out under the condition of irrigation.
Strategy 3: in the weather condition forecast in three days in the future, the water is rainy and the precipitation meets the water demand of the crop growth, irrigation is not carried out, and no water is rainy or rainy but the precipitation does not meet the water demand of the crop growth, and irrigation is carried out.
The average data temperature T0, the humidity H0, the illumination intensity L0 and the wind speed V0 in the same time within three years; weather forecast data temperature T2, wind speed V2, humidity H2, illumination intensity L2 and air pressure P2; the measured real-time parameters include temperature T1, humidity H1, illumination intensity L1, wind speed V1 and air pressure P1. According to the following formula
And processing the measured data, wherein K1 is a weighted value (a value range of 1-10) of the weather forecast such as rain and snow on the same day in the last three years, K2 is a weighted value (a value range of 1-10) of the weather forecast such as rain and snow, K3 is a weighted value (1-10) of the historical data, and K4 is a weighted value (a value range of 1-10) of the weather forecast data.
A threshold value S0 for judging weather mutation is set.
When S < S0, the weather is normal, and irrigation or fertigation can be performed.
When S is more than or equal to S0, the weather mutation is indicated, the probability of rain and snow is high, and irrigation or fertigation is not performed.
4) Irrigation and fertilization execution work: in the process of executing the work of the fertigation, a fertigation decision is firstly made through a fertigation intelligent decision expert system software module in the central control unit, and then a fertigation model and a precision fertigation algorithm software module are established according to the decision made by the fertigation intelligent decision expert system software module, so that an optimization algorithm is determined to realize the precision fertigation; the central control unit transmits the dynamic regulation mathematical model of the fertigation and fertilizer mother liquor to the fertigation control subsystem through a system bus, and a fertigation controller of the fertigation control subsystem controls the precise fertilizer discharging device and the head junction device to finish specific fertigation operation.
Claims (5)
1. The farmland water and fertilizer integrated intelligent management and control system based on multi-source information fusion is characterized by comprising a weather forecast query receiving subsystem, a weather real-time data acquisition control subsystem, a cloud computing platform, a central control unit, an irrigation and fertilization control subsystem and an irrigation and fertilization state monitoring and online fault detection system;
the weather forecast query receiving subsystem is used for querying weather conditions, and the GPRS communication module is utilized to access a central weather database from a national weather network through a weather forecast data interface provided by a national weather bureau, query real-time weather forecast, receive data and transmit the data to the weather forecast query receiving subsystem, and then transmit the data to the central control unit through a system bus to provide real-time weather forecast data for the central control unit to make irrigation and fertilization decisions;
the meteorological real-time data acquisition control subsystem comprises a meteorological real-time data acquisition controller, a soil moisture sensor, a wind speed sensor, an air temperature sensor, an illumination sensor and a rainfall sensor; the real-time data acquisition controller is used for acquiring real-time meteorological data of each farmland, transmitting the data to the central control unit through the system bus, and being arranged on the surface of the farmland through the meteorological monitoring bracket; the soil moisture sensor is used for carrying out fixed-point monitoring and online measurement on soil moisture content of surface layer and deep layer soil; the wind speed sensor, the air temperature sensor, the illumination sensor and the rainfall sensor are all arranged on the support frame and are connected with the real-time data acquisition controller through the sensor data acquisition bus, and are used for acquiring data of the wind speed, the air temperature, the illumination and the rainfall of a field and transmitting the data to the real-time data acquisition controller through the sensor data acquisition bus;
the cloud computing platform is a comprehensive cloud computing platform combining computation and data storage processing, and is used for computing and storing data of a weather real-time data acquisition control subsystem and a weather forecast query receiving subsystem and historical data of annual growth water and fertilizer demand and irrigation and fertilizer demand time of field crops, transmitting the data to an intelligent irrigation and fertilizer decision expert system software module of a central control unit through a GPRS communication module, and providing annual growth water and fertilizer demand data of crops for the intelligent irrigation and fertilizer decision expert system software module to make irrigation and fertilizer decisions;
the central control unit is used for running intelligent predictive fertigation control system software, executing data communication processing, intelligent fertigation decision making, establishing a fertigation mathematical model and fault diagnosis and error processing of fertigation states; the intelligent predictive fertigation control system software comprises a data communication and processing software module, a fertigation intelligent decision expert system software module, a fertigation model, a precision fertigation algorithm software module and an automation system error processing software module; the data communication and processing software module receives the data of the cloud computing platform through the system bus and performs simple data operation and processing analysis, thereby providing a data basis for decision making of the fertigation intelligent decision expert system software module; the intelligent decision expert system software module for fertigation makes decisions for fertigation according to data transmitted by the cloud computing platform, and the specific decisions comprise: according to real-time weather and soil moisture, wind speed, air temperature and illumination in a field, and weather forecast prediction, according to the annual growth water and fertilizer requirement and irrigation and fertilizer application time of various field crops stored in a cloud computing platform, an expert and a grain grower make decisions on the annual growth and fertilizer application time and the irrigation and fertilizer application amount of the crops, and further control the irrigation and fertilizer application time and the irrigation and fertilizer application amount; the fertigation model and the precise fertigation algorithm software module establish a fertigation and fertilizer mother liquor dynamic regulation mathematical model according to decisions made by the fertigation intelligent decision expert system software module, so as to determine an optimization algorithm to realize precise fertigation; the automatic system error processing software module detects real readings of the pressure sensor and the flow sensor according to signals fed back by the fertigation state monitoring and online fault detection system, determines the fault position and overhauls the fault position so as to ensure the normal pressure and flow in the pipeline;
the fertigation control subsystem executes fertigation operation according to the decision of the fertigation intelligent decision expert system software module, and comprises a fertigation execution unit and a fertigation controller;
the fertigation execution unit comprises a precise fertilizer preparation device and a head junction device; the precise fertilizer preparation device comprises a precise fertilizer mechanism and a stirrer, and is used for precise fertilizer discharge and concentration-controllable mother liquor preparation; the stirrer is used for stirring, dissolving and filtering the granular fertilizer; the head junction device is used for taking water from a water source and pressurizing, providing clear water for the mother liquor with controllable concentration, and filtering the clear water for pressurizing, water supplying, filtering and measuring tasks of the whole fertigation system; the fertigation controller controls the actions of the precise fertilizer mechanism, the fertilizer injection pump, the stirrer and the electromagnetic valve according to the data measured by the sensor module to realize the configuration of precise fertilizer discharge and concentration regulation mother liquor; the fertigation controller comprises a precise fertilizer mechanism controller, a stirrer controller, a fertilizer injection pump controller, a sensor module and a system man-machine interaction module; the sensor module comprises an EC sensor, a PH sensor, a pressure sensor and a flow sensor, and is connected with the fertigation controller through a sensor data acquisition bus for communication; the EC sensor and the PH sensor are arranged on the side surface of the bottom of the mother liquid tank and are used for detecting the EC value and the PH value of the mother liquid in the mother liquid tank; the pressure sensor is arranged at the tail end of the main pipeline and is used for detecting the pressure of the main pipeline; the flow sensors are respectively arranged on the water inlet pipe of the mother liquor tank, the liquid outlet pipe of the mother liquor tank and the main pipeline and are used for detecting the flow entering and exiting the mother liquor tank and the main pipeline; one end of the precise fertilizer mechanism controller is connected with the fertigation controller, the other end of the precise fertilizer mechanism controller is connected with the precise fertilizer mechanism, and the fertigation controller outputs a signal to control the precise fertilizer mechanism to act; one end of the stirrer controller is connected with the fertigation controller, the other end of the stirrer controller is connected with the stirrer motor, and the fertigation controller outputs a signal to control the stirring motor to act; one end of the fertilizer injection pump controller is connected with the fertigation controller, the other end of the fertilizer injection pump controller is connected with the fertilizer injection pump, and the output flow of the fertilizer injection pump is regulated by the output signal of the fertigation controller; the system man-machine interaction module can realize man-machine interaction, is convenient for an expert and a grain grower to input crop growth vigor to the central control unit at any time so as to enable the fertigation intelligent decision expert system software module to make decisions, and comprises a computer host, a liquid crystal screen, a keyboard and a mouse, wherein the computer host is used for installing various software of the central control unit; the liquid crystal screen, the keyboard and the mouse are all connected with the computer host through data lines;
the system is used for detecting the state and faults of the whole system in the process of fertigation in real time and feeding back the state and faults to the central control unit through a system bus, and an automatic system error processing software module of the central control unit performs corresponding operation and alarm through the fertigation control subsystem.
2. The farmland water and fertilizer integrated intelligent management and control system based on multi-source information fusion according to claim 1, wherein the soil moisture sensor is an on-site plug-in on-site measurement soil moisture sensor.
3. The intelligent farmland water and fertilizer integrated management and control system based on multi-source information fusion as claimed in claim 1, wherein the precise fertilizer mechanism is a fertilizer mechanism assembled by an existing spiral auger.
4. The farmland water and fertilizer integrated intelligent management and control system based on multi-source information fusion as claimed in claim 1, wherein the fertigation controller is an STM32 type singlechip.
5. A control method of an intelligent farmland water and fertilizer integrated management and control system based on multisource information fusion is characterized by comprising the following steps:
1) Weather forecast query receiving work: when the weather forecast inquiry is received, an operator accesses a central weather database from a national weather network through a weather forecast data interface provided by a national weather bureau by utilizing a GPRS communication module to inquire the real-time weather forecast, the received data are transmitted to a weather forecast inquiry receiving subsystem, and then the data are transmitted to a central control unit through a system bus to provide real-time weather forecast data for the central control unit to make irrigation and fertilization decisions;
2) Weather real-time data acquisition work: in the process of meteorological real-time data acquisition, a soil moisture sensor, a wind speed sensor, an air temperature sensor, an illumination sensor and a rainfall sensor transmit acquired data to a real-time data acquisition controller through a sensor data acquisition bus, the real-time data acquisition controller transmits the data to a central control unit through a system bus, and an intelligent fertigation decision expert system software module of the central control unit makes fertigation decisions;
3) Irrigation and fertilization decision-making work: the fertigation decision-making is based on real-time weather and soil moisture, wind speed, air temperature and illumination in the field, and is combined with weather forecast prediction, and according to the historical storage of the annual water and fertilizer requirement amount, fertigation time and field description of crop growth of various field crops in a cloud computing platform, four kinds of data are cooperatively processed by an fertigation intelligent decision-making expert system software module, the optimal fertigation decision-making is optimally generated, and an ECA rule processing mechanism is adopted for the four kinds of data cooperation;
defining an ECA rule as a triplet, defined as r= (E, C, a); wherein E is an event that activates the rule; c is a condition set for reflecting different conditions in the environment; a is an operation set (or an action set); c is herein generically referred to as an object variable; the object variable is a characteristic or parameter related in the data stream and influencing the selection of the working stream, and is simply called variable; variables are denoted as xi, and the variable set is denoted as x= { X1, X2, …, xk }; the value range of the variable xi is a domain and is represented by a symbol Di;
define x= { X1, X2, X3, X4}; x1 is local real-time meteorological data, x2 is historical data of crop growth, x3 is weather forecast data, and x4 is field description data of crop growth vigor;
d1 The sensor detects data such as field temperature, humidity, illumination intensity, wind speed and the like;
d2 Data of = { water and fertilizer demand and irrigation and fertilization time required for annual growth of crops in past year };
d3 Data of = { weather forecast temperature, rainfall, humidity, illumination, wind speed, etc };
d4 = { field description data for crop seedling conditions, growth vigor, diseases and insect pests, etc. };
a= { speed-up of precise fertilizer discharging motor, speed-down of precise fertilizer discharging motor, start of fertilizer injection pump, stop of fertilizer injection pump, start of electromagnetic valve, stop of electromagnetic valve, start of stirring motor, stop of stirring motor }
E= { policy 1, policy 2, policy 3}
Strategy 1: irrigation: when the weather is normal, the soil humidity reaches a preset lower limit value, and irrigation is started; stopping irrigation when the humidity reaches the proper level for crop growth;
strategy 2: irrigation and fertilization: according to the historical storage of the water and fertilizer requirement amount, irrigation and fertilization time and the field description of crop growth conditions of various field crops in a cloud computing platform, the fertilization amount is controlled, the time and the time of fertilization are reached, the crop growth conditions are poor, the fertilization is needed, and the fertilization is carried out under the condition of irrigation;
strategy 3: in the weather condition of weather forecast in three days in the future, the water is rainy and the precipitation meets the water demand of crop growth, irrigation is not carried out, and no water is rainy or rainy but the precipitation does not meet the water demand of crop growth, irrigation is carried out;
the average data temperature T0, the humidity H0, the illumination intensity L0 and the wind speed V0 in the same time within three years; weather forecast data temperature T2, wind speed V2, humidity H2, illumination intensity L2 and air pressure P2; the measured real-time parameters include temperature T1, humidity H1, illumination intensity L1, wind speed V1 and air pressure P1; according to the following formula
Processing the measured data, wherein K1 is a weighted value of the weather forecast such as rain and snow on the same day within three years, the value range is 1-10, K2 is a weighted value of the weather forecast such as rain and snow, the value range is 1-10, K3 is a weighted value of the historical data and K4 is a weighted value of the weather forecast data, and the value range is 1-10;
setting a critical value S0 for judging weather mutation; when S is less than S0, the weather is normal, and irrigation or fertigation can be carried out; when S is more than or equal to S0, the weather mutation is shown, the probability of rain and snow is high, and irrigation or fertigation is not performed; 4) Irrigation and fertilization execution work: in the process of executing the work of the fertigation, a fertigation decision is firstly made by an fertigation intelligent decision expert system software module in the central control unit, and then a fertigation model and a precision fertigation algorithm software module are established according to the decision made by the fertigation intelligent decision expert system software module to dynamically regulate and control a mathematical model of the fertigation and a fertilizer mother liquor so as to realize the precision fertigation; the central control unit transmits the dynamic regulation mathematical model of the fertigation and fertilizer mother liquor to the fertigation control subsystem through a system bus, and a fertigation controller of the fertigation control subsystem controls the precise fertilizer discharging device and the head junction device to finish specific fertigation operation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710148123.3A CN106707767B (en) | 2017-03-13 | 2017-03-13 | Multi-source information fusion-based intelligent management and control system and method for field water and fertilizer integration |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710148123.3A CN106707767B (en) | 2017-03-13 | 2017-03-13 | Multi-source information fusion-based intelligent management and control system and method for field water and fertilizer integration |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106707767A CN106707767A (en) | 2017-05-24 |
| CN106707767B true CN106707767B (en) | 2023-07-21 |
Family
ID=58918156
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710148123.3A Active CN106707767B (en) | 2017-03-13 | 2017-03-13 | Multi-source information fusion-based intelligent management and control system and method for field water and fertilizer integration |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106707767B (en) |
Families Citing this family (38)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107330804A (en) * | 2017-07-06 | 2017-11-07 | 贵州省水利科学研究院 | A kind of wisdom water conservancy management and control cloud platform and method |
| CN107372038A (en) * | 2017-09-06 | 2017-11-24 | 郑州云海信息技术有限公司 | A kind of automatic irrigation system based on cloud computing |
| CN107711454A (en) * | 2017-11-09 | 2018-02-23 | 郑州云海信息技术有限公司 | A kind of irrigation system and method based on cloud computing |
| CN107807598A (en) * | 2017-11-24 | 2018-03-16 | 吉林省农业机械研究院 | Internet of Things+water saving, the fertile Precision Irrigation system and method for section |
| CN107991888A (en) * | 2018-01-03 | 2018-05-04 | 常州市兰翔电器有限公司 | Agricultural automation embedded integration system and its method of work based on machine learning |
| CN108575673A (en) * | 2018-01-17 | 2018-09-28 | 中国农业科学院农业资源与农业区划研究所 | Drought-hit area crop irrigation fertilizing method based on same day Weather Forecast Information and system |
| CN108279631A (en) * | 2018-01-30 | 2018-07-13 | 中国农业科学院农业环境与可持续发展研究所 | A kind of intelligent water and fertilizer management system based on big data analysis |
| CN108510102A (en) * | 2018-02-07 | 2018-09-07 | 青岛农业大学 | A kind of water-fertilizer integral control method of irrigation using big data calculative strategy |
| CN108271658A (en) * | 2018-03-01 | 2018-07-13 | 海南广源隆节能环保股份有限公司 | Light-operated water-fertilizer integrated intelligent irrigation system and light-operated water-fertilizer integrated intelligent irrigation method |
| CN108738595B (en) * | 2018-03-27 | 2020-06-02 | 珠江水利委员会珠江水利科学研究院 | Micro-power consumption automatic irrigation control system |
| CN108958329B (en) * | 2018-04-26 | 2020-11-17 | 中国农业大学 | Drip irrigation water and fertilizer integrated intelligent decision-making method |
| CN110558023A (en) * | 2018-06-06 | 2019-12-13 | 江苏中域齐民网络科技有限公司 | Liquid manure integration detects and control system |
| CN108703049A (en) * | 2018-07-19 | 2018-10-26 | 苏州每日农业科技有限公司 | A kind of full growth cycle manuring irrigation system of crop |
| CN109089843A (en) * | 2018-07-27 | 2018-12-28 | 安徽神州生态农业发展有限公司 | One kind being based on multidata kind of plant intelligent water feeding method |
| CN109087211A (en) * | 2018-08-31 | 2018-12-25 | 靖西海越农业有限公司 | A kind of fertile mandarin orange wisdom implant system |
| CN109254540B (en) * | 2018-10-22 | 2023-03-17 | 山东农业大学 | Facility-based water, fertilizer, pesticide and hot gas integrated underground infiltration irrigation control system and method |
| CN111369093B (en) * | 2018-12-26 | 2023-09-29 | 天云融创数据科技（北京）有限公司 | Irrigation method and device based on machine learning |
| CN109601350A (en) * | 2019-02-01 | 2019-04-12 | 农业农村部南京农业机械化研究所 | The full matrix seedling moisture intelligent management system of machine transplanting of rice hard place hard disk and control method |
| CN109903179A (en) * | 2019-02-21 | 2019-06-18 | 苏州旅联智能科技有限公司 | Seedlings of cereal crops wisdom pipe supports method and system |
| CN110024667A (en) * | 2019-05-30 | 2019-07-19 | 宁夏尚禹节水科技有限公司 | Water-fertilizer integral system and its irrigation, fertilizing method |
| CN110210665A (en) * | 2019-05-30 | 2019-09-06 | 北控滨南康健(重庆)环境工程有限公司 | Urban vegetation cover wisdom managing and control system based on GIS |
| CN110824481A (en) * | 2019-10-28 | 2020-02-21 | 兰州大方电子有限责任公司 | Quantitative precipitation prediction method based on radar reflectivity extrapolation |
| CN110934061A (en) * | 2019-12-26 | 2020-03-31 | 裕华生态环境股份有限公司 | Garden irrigation water-saving system |
| CN111427296A (en) * | 2020-04-17 | 2020-07-17 | 天津蓝迪科农业科技有限公司 | Fertilization control system of refined cultivation technology |
| CN111316896B (en) * | 2020-04-17 | 2022-07-22 | 天津蓝迪科农业科技有限公司 | Irrigation control system of cultivation technique that becomes more meticulous |
| CN111765925A (en) * | 2020-07-14 | 2020-10-13 | 中国农业科学院农田灌溉研究所 | Fine irrigation surface water flow state monitoring system |
| CN112425484A (en) * | 2020-09-30 | 2021-03-02 | 贵州省公路工程集团有限公司 | Greenbelt cooperative drip irrigation system and method based on Internet of things |
| CN112488467A (en) * | 2020-11-16 | 2021-03-12 | 中国科学院合肥物质科学研究院 | Water planting crop fertilizer injection unit based on multiscale habitat information |
| CN112470892A (en) * | 2020-12-03 | 2021-03-12 | 湖北添安农业科技有限公司 | Intelligent control system for agricultural irrigation |
| CN113467553A (en) * | 2021-07-06 | 2021-10-01 | 江西省科学院应用物理研究所 | Agricultural product production regulation and control system and method based on Internet of things |
| CN113439520A (en) * | 2021-07-21 | 2021-09-28 | 中国农业科学院农业环境与可持续发展研究所 | Intelligent decision-making method and system for crop irrigation and fertilization |
| CN113916278A (en) * | 2021-08-24 | 2022-01-11 | 苏州阿普奇物联网科技有限公司 | Farmland environmental data monitoring system |
| CN113642729A (en) * | 2021-08-26 | 2021-11-12 | 福建省致青生态环保有限公司 | Intelligent biogas slurry application method and system based on machine learning and storage medium |
| CN113841593A (en) * | 2021-10-29 | 2021-12-28 | 山东润浩水利科技有限公司 | Intelligent farmland irrigation system and irrigation method based on Internet of things |
| CN114041348B (en) * | 2021-11-15 | 2023-03-21 | 四川森河盛农智慧农业科技有限公司 | Intelligent agricultural water and fertilizer integrated irrigation unit |
| CN114946617B (en) * | 2022-01-18 | 2023-08-11 | 黄河水利职业技术学院 | Water and fertilizer integrated intelligent irrigation system based on satellite remote sensing and control method thereof |
| CN114402968B (en) * | 2022-01-21 | 2023-01-10 | 中国农业科学院农业环境与可持续发展研究所 | Biogas slurry irrigation and fertilization system and application thereof |
| CN115176684A (en) * | 2022-08-06 | 2022-10-14 | 苏州园智宝智能科技有限公司 | Drip irrigation system for plant wall |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104521699A (en) * | 2014-11-18 | 2015-04-22 | 华北水利水电大学 | Field intelligent irrigation on-line control management method |
| CN104536418A (en) * | 2014-12-24 | 2015-04-22 | 沈阳远大科技园有限公司 | Precise agriculture control system and method for automatic fertilization and water supply through distributed control |
| CN104635694A (en) * | 2015-01-08 | 2015-05-20 | 沈阳远大智能高科农业有限公司 | Intelligent agricultural early warning system |
| CN105248252A (en) * | 2015-10-16 | 2016-01-20 | 河北省农林科学院旱作农业研究所 | Water-fertilizer integrated intelligent control system for irrigation based on soil moisture measurement and control method thereof |
| CN105830870A (en) * | 2016-03-24 | 2016-08-10 | 华北水利水电大学 | Remote wireless farmland monitoring system and method |
| CN105940843A (en) * | 2016-06-02 | 2016-09-21 | 山东农业大学 | Water and fertilizer integration remote control and intelligent management system |
| CN105941101A (en) * | 2016-06-21 | 2016-09-21 | 天津市土壤肥料工作站 | Intelligent irrigating and fertilizing control method, device and system |
| CN106171866A (en) * | 2016-08-26 | 2016-12-07 | 山东锋士信息技术有限公司 | Wisdom based on the Internet irrigates cloud platform |
| CN106358997A (en) * | 2016-08-28 | 2017-02-01 | 中国农业科学院农田灌溉研究所 | Intelligent irrigation and fertilization system and intelligent irrigation and fertilization method based on cloud computation |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9880537B2 (en) * | 2015-08-05 | 2018-01-30 | Clearag, Inc. | Customized land surface modeling for irrigation decision support in a crop and agronomic advisory service in precision agriculture |
-
2017
- 2017-03-13 CN CN201710148123.3A patent/CN106707767B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104521699A (en) * | 2014-11-18 | 2015-04-22 | 华北水利水电大学 | Field intelligent irrigation on-line control management method |
| CN104536418A (en) * | 2014-12-24 | 2015-04-22 | 沈阳远大科技园有限公司 | Precise agriculture control system and method for automatic fertilization and water supply through distributed control |
| CN104635694A (en) * | 2015-01-08 | 2015-05-20 | 沈阳远大智能高科农业有限公司 | Intelligent agricultural early warning system |
| CN105248252A (en) * | 2015-10-16 | 2016-01-20 | 河北省农林科学院旱作农业研究所 | Water-fertilizer integrated intelligent control system for irrigation based on soil moisture measurement and control method thereof |
| CN105830870A (en) * | 2016-03-24 | 2016-08-10 | 华北水利水电大学 | Remote wireless farmland monitoring system and method |
| CN105940843A (en) * | 2016-06-02 | 2016-09-21 | 山东农业大学 | Water and fertilizer integration remote control and intelligent management system |
| CN105941101A (en) * | 2016-06-21 | 2016-09-21 | 天津市土壤肥料工作站 | Intelligent irrigating and fertilizing control method, device and system |
| CN106171866A (en) * | 2016-08-26 | 2016-12-07 | 山东锋士信息技术有限公司 | Wisdom based on the Internet irrigates cloud platform |
| CN106358997A (en) * | 2016-08-28 | 2017-02-01 | 中国农业科学院农田灌溉研究所 | Intelligent irrigation and fertilization system and intelligent irrigation and fertilization method based on cloud computation |
Non-Patent Citations (1)
| Title |
|---|
| 精确灌溉与施肥自动化管理系统的研制与实现;刘秀珍;郑德聪;马骏;郭丽娜;;水土保持学报;第20卷(第05期);199-202 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106707767A (en) | 2017-05-24 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106707767B (en) | Multi-source information fusion-based intelligent management and control system and method for field water and fertilizer integration | |
| CN109673480B (en) | Intelligent water and fertilizer integrated sprinkling irrigation system and control method | |
| CN104460582B (en) | A kind of Internet of Things intelligent irrigation fertilising control method and system based on fuzzy control | |
| CN103838144B (en) | Caulis Sacchari sinensis precision farming drip irrigation based on Internet of Things soil analysis modeling control method | |
| CN110187688A (en) | Industrialized agriculture intelligence liquid manure integral control system and control method | |
| CN202014459U (en) | Automatic fertilizing and irrigating system | |
| NL2026119B1 (en) | Intelligent and precise drip irrigation system for integrated application of water, fertilizer, gas and heat in greenhouse | |
| CN110741914A (en) | Rice field automatic water-saving irrigation system and method based on recurrent neural network | |
| CN108450115B (en) | Water and fertilizer integrated machine based on multi-path flow control and flow control method thereof | |
| CN113439520A (en) | Intelligent decision-making method and system for crop irrigation and fertilization | |
| CN209749385U (en) | Accurate irrigation monitoring system | |
| CN109452146A (en) | Water-saving Irrigation of Winter Wheat decision-making technique, control device and control system | |
| CN112056192A (en) | Intelligent water-saving irrigation system and method based on intelligent agriculture | |
| CN109392676A (en) | A kind of system of the cloud algorithm platform control fertigation based on block chain structure | |
| AU2021100962A4 (en) | Smart irrigation enriched with fertilizer mixing and water wastage reduction using deep learning techniques | |
| CN111685014A (en) | Multi-source information fusion-based crop water-saving irrigation decision-making method and measurement and control system | |
| CN103299845A (en) | Intelligent seedling raising system | |
| CN105850328A (en) | Method and system for remote accurate administration of integrated water and fertilizer | |
| CN109116827B (en) | Solar greenhouse water and fertilizer integrated irrigation control method and device based on Internet of things | |
| CN105027789A (en) | Intelligent fertilizer applicator and fertilizer application control method | |
| CN113785759A (en) | Intelligent irrigation system and method for intercropping planting of crops and storable medium | |
| CN114258774A (en) | A liquid manure integration fertilization system for farming | |
| CN204406158U (en) | The accurate agronomy control system utilizing distributed AC servo system automatic fertilization to feed water | |
| CN112470907A (en) | Water planting fertilizer distributor | |
| CN204762124U (en) | Intelligence fertilizer distributor |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20231124 Address after: Room 2226, 22nd Floor, No. 66 Cuilong Street, Longquan Street, Longquanyi District, Chengdu City, Sichuan Province, 610100 Patentee after: Sichuan Panyingda Technology Co.,Ltd. Address before: 271018 Shandong city of Tai'an province Daizong Street No. 61 Patentee before: Shandong Agricultural University |
|
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20240319 Address after: Room 1620, 16th Floor, Block A, Times Square, Tunhe North Road, Changji Hui Autonomous Prefecture, Xinjiang Uygur Autonomous Region, 831100 Patentee after: Xinjiang Huier Zhilian Technology Co.,Ltd. Country or region after: Zhong Guo Address before: Room 2226, 22nd Floor, No. 66 Cuilong Street, Longquan Street, Longquanyi District, Chengdu City, Sichuan Province, 610100 Patentee before: Sichuan Panyingda Technology Co.,Ltd. Country or region before: Zhong Guo |
|
| TR01 | Transfer of patent right |