CN114545833A - Facility agriculture intelligent interactive processing system based on internet of things technology - Google Patents

Facility agriculture intelligent interactive processing system based on internet of things technology Download PDF

Info

Publication number
CN114545833A
CN114545833A CN202210199597.1A CN202210199597A CN114545833A CN 114545833 A CN114545833 A CN 114545833A CN 202210199597 A CN202210199597 A CN 202210199597A CN 114545833 A CN114545833 A CN 114545833A
Authority
CN
China
Prior art keywords
equipment
agricultural
information
strategy
acquiring
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.)
Granted
Application number
CN202210199597.1A
Other languages
Chinese (zh)
Other versions
CN114545833B (en
Inventor
张杨芳
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Fengnong Shuzhi Agricultural Technology Co ltd
Original Assignee
Tengshengfu Guangzhou Agricultural Technology Co ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Tengshengfu Guangzhou Agricultural Technology Co ltd filed Critical Tengshengfu Guangzhou Agricultural Technology Co ltd
Priority to CN202210199597.1A priority Critical patent/CN114545833B/en
Publication of CN114545833A publication Critical patent/CN114545833A/en
Application granted granted Critical
Publication of CN114545833B publication Critical patent/CN114545833B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/04Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/042Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
    • G05B19/0423Input/output
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/20Pc systems
    • G05B2219/24Pc safety
    • G05B2219/24215Scada supervisory control and data acquisition
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A40/00Adaptation technologies in agriculture, forestry, livestock or agroalimentary production
    • Y02A40/10Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in agriculture

Abstract

The invention provides a facility agriculture intelligent interactive processing system based on the technology of the Internet of things, which comprises: the data acquisition module is used for acquiring various agricultural parameters of the basic agricultural facilities based on the technology of the Internet of things; the data processing module is used for formulating an agricultural strategy according to the agricultural parameters; the strategy execution module is used for executing corresponding operation according to the received agricultural strategy; the agricultural automatic management system is based on the Internet of things technology and is used for solving the problems that when the agricultural automatic management system is put into production by depending on the subjective consciousness of a user, the user needs to judge the current agricultural environment, and then corresponding agricultural automatic equipment is adopted to put into agricultural production, so that the energy of the user is greatly wasted, and when the agricultural automatic management system is put into production by depending on the subjective consciousness of the user, the coordination and management of the agricultural automatic equipment also greatly occupy the time of the user.

Description

Facility agriculture intelligent interactive processing system based on internet of things technology
Technical Field
The invention relates to the technical field of intelligent agriculture, in particular to a facility agriculture intelligent interactive processing system based on the technology of the Internet of things.
Background
With the progress of science and technology, agricultural automation and agricultural intelligence gradually become the main melody of the current agricultural development, in recent years, most agricultural production in China has been changed from mainly relying on manpower and animal power to mainly relying on various agricultural automation equipment, however, when a user uses various agricultural automation equipment to carry out agricultural production, each agricultural automation equipment is put into production mainly relying on the subjective consciousness of the user, the user is required to judge the current agricultural environment each time the agricultural automation equipment is put into production relying on the subjective consciousness of the user, then the corresponding agricultural automation equipment is adopted to put into agricultural production, the energy of the user is greatly wasted, meanwhile, when the agricultural automation equipment is put into production relying on the subjective consciousness of the user, the coordination and management of each agricultural automation equipment also greatly occupy the time of the user, therefore, a facility agricultural intelligent interactive processing system based on the internet of things technology is needed urgently, the agricultural automation equipment management system is used for solving the problems that when the user is required to judge the current agricultural environment by relying on the subjective consciousness of the user to put into production at each time, corresponding agricultural automation equipment is adopted to put into agricultural production, the energy of the user is greatly wasted, and when the user is relied on the subjective consciousness to put into production, the coordination and management of each agricultural automation equipment also greatly occupy the time of the user.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides an intelligent interactive processing system for facility agriculture based on the technology of Internet of things, which is used for solving the problems that when the system is put into production by depending on the subjective consciousness of a user, the user needs to judge the current agricultural environment, and then corresponding agricultural automation equipment is adopted to put into agricultural production, so that the energy of the user is greatly wasted, and when the system is put into production by depending on the subjective consciousness of the user, the coordination and management of each agricultural automation equipment also greatly occupy the time of the user.
An intelligent interactive processing system for facility agriculture based on the technology of the internet of things comprises:
the data acquisition module is used for acquiring various agricultural parameters of the basic agricultural facilities based on the technology of the Internet of things;
the data processing module is used for formulating an agricultural strategy according to the agricultural parameters;
the strategy execution module is used for executing corresponding operation according to the received agricultural strategy;
and the man-machine interaction module is used for sending the agricultural strategy to the user, and acquiring and executing the intervention instruction of the user.
As an embodiment of the present invention, a data acquisition module includes:
the information acquisition unit is arranged in the basic agricultural facility and is used for acquiring various agricultural parameters in the basic agricultural facility; the agricultural parameters comprise any one of a monomer crop image, a similar crop image, soil nutrient information and soil humidity;
and the information sending unit is used for sending various agricultural parameters to the data processing module based on a preset communication mode.
As an embodiment of the present invention, an information acquisition unit includes:
the camera shooting subunit is used for collecting the single crop images in the basic agricultural facility; wherein the monomer crop image is an individual plant image of any kind of plant;
the aerial photography subunit is used for acquiring images of the same type of crops in the basic agricultural facility; wherein the images of the same kind of crops are all images of any kind of plants in the basic agricultural facility;
the soil nutrient detection subunit is used for acquiring soil nutrient information in the basic agricultural facility;
and the soil humidity detection subunit is used for collecting the soil humidity in the basic agricultural facility.
As an embodiment of the present invention, a data processing module includes:
the parameter acquisition unit is used for acquiring various agricultural parameters sent by the data acquisition module based on a preset communication mode;
the parameter processing unit is used for formulating a corresponding agricultural strategy according to various agricultural parameters based on a preset database;
and the strategy sending unit is used for sending the agricultural strategy to the strategy execution module.
As an embodiment of the present invention, the parameter processing unit is configured to formulate a corresponding agricultural strategy according to various agricultural parameters based on a preset database, and specifically includes:
acquiring a single crop image in various agricultural parameters, and judging the crop type of the single crop image by a parameter processing unit based on a preset database;
judging whether the single crop image has the pest and disease damage phenomenon or not according to the crop type and the single crop image based on a preset database;
if the same type of crop image exists, acquiring the same type of crop image corresponding to the single crop image in various agricultural parameters, and determining first coordinate information of the same type of crop image according to a positioning identifier preset around the same type of crop image; meanwhile, acquiring first medicine information and a first sowing strategy corresponding to the pest and disease damage phenomenon based on a preset database;
formulating a first agricultural strategy according to the first coordinate information, the first medicine information and the first sowing strategy;
acquiring soil nutrient information corresponding to planting land in the similar crop image in various agricultural parameters, and judging whether the soil nutrient information meets the nutritional requirements of the crop type corresponding to the similar crop image or not based on a preset database;
if not, acquiring second medicine information and a second sowing strategy corresponding to the missing nutrient information in the soil nutrient information based on a preset database;
formulating a second agricultural strategy according to the first coordinate information, the second medicine information and the second sowing strategy;
acquiring soil humidity information corresponding to planting land in the similar crop image in various agricultural parameters, and judging whether the soil humidity information meets the water requirement of the crop type corresponding to the similar crop image or not based on a preset database; wherein, the water requirement comprises the water requirement for over-drying the land and the water removal requirement for over-wetting the land;
if not, acquiring third medicine information and a third sowing strategy corresponding to the missing moisture information in the soil humidity information based on a preset database;
and formulating a third agricultural strategy according to the first coordinate information, the third medicine information and the third sowing strategy.
As an embodiment of the present invention, the policy enforcement module includes:
the strategy acquisition unit is used for acquiring the agricultural strategies sent by the data processing module;
the strategy analysis unit is used for analyzing the agricultural strategies to obtain corresponding execution strategies and outputting the execution strategies to the strategy execution unit;
and the strategy execution unit is used for selecting the corresponding equipment to execute the corresponding operation according to the execution strategy.
As an embodiment of the present invention, the policy analysis unit is configured to analyze an agricultural policy to obtain a corresponding execution policy, and output the execution policy to the policy execution unit, and specifically includes:
acquiring drug information in an agricultural strategy, and analyzing to obtain a first device requirement corresponding to the drug bearing information based on a preset database;
acquiring a broadcasting strategy in the agricultural strategy, and analyzing to obtain a second equipment requirement corresponding to the implementation of the broadcasting strategy based on a preset database;
screening to obtain equipment information which simultaneously meets the requirements of the first equipment and the second equipment based on a preset database;
acquiring coordinate information in an agricultural strategy, and analyzing and obtaining a specific action route for executing the strategy by combining a remote sensing image of an infrastructure agricultural facility in a preset database, other specific action routes in use and equipment information;
and generating an execution strategy according to the agricultural strategy, the equipment information and the specific action route, and outputting the execution strategy to a strategy execution unit.
As an embodiment of the invention, the human-computer interaction module executes the following operations:
receiving an agricultural strategy sent by a data processing module;
based on a preset communication mode, sending the agricultural strategy to a user for displaying;
receiving a preset intervention instruction sent by a user based on a preset communication mode;
and correspondingly intervening the behavior of the strategy execution module according to the intervention instruction.
As an embodiment of the present invention, based on a preset database, device information that meets requirements of a first device and a second device at the same time is obtained by screening, which specifically includes:
acquiring equipment information of all equipment which can currently execute the strategy in a preset database, and constructing an equipment information set; each device can simultaneously meet a plurality of first device requirements and a plurality of second device requirements;
the method comprises the steps that a first screening is conducted on an equipment information set based on first equipment requirements, and equipment which does not meet the first equipment requirements in the equipment information set is removed to obtain a first screening equipment information set;
performing secondary screening on the first screening equipment information set based on second equipment requirements, and removing equipment which does not meet the second equipment requirements in the equipment information set to obtain a second screening equipment information set;
judging whether the second screening equipment information set has equipment information or not;
if not, sending the demand information to the user;
if yes, judging whether only one piece of equipment information exists in the second screening equipment information set;
if so, acquiring the equipment information as the equipment information which simultaneously meets the requirements of the first equipment and the second equipment;
if not, acquiring historical use information of each piece of equipment information in the second screening equipment information set; the historical use information comprises the last use time of the equipment, the last loaded medicine information and the last executed broadcast strategy;
based on the historical use information of each piece of equipment information, removing the equipment information, which is different from the requirement of the first equipment, of the last-time loaded medicine information in the second screening equipment information set to obtain a third screening equipment information set;
judging whether the third screening equipment information set has equipment information or not;
if the equipment information does not exist, randomly selecting any equipment information in the second screening equipment information set as equipment information which simultaneously meets the requirements of the first equipment and the second equipment;
if yes, judging whether only one piece of equipment information exists in the third screening equipment information set;
if so, acquiring the equipment information as the equipment information which simultaneously meets the requirements of the first equipment and the second equipment;
if not, based on the historical use information of each piece of equipment information, removing the equipment information of which the broadcast strategy executed last time in the third screening equipment information set is inconsistent with the requirement of the second equipment to obtain a fourth screening equipment information set;
judging whether equipment information exists in the fourth screening equipment information set or not;
if the equipment information does not exist, randomly selecting any equipment information in the third screening equipment information set as equipment information which simultaneously meets the requirements of the first equipment and the second equipment;
if yes, judging whether only one piece of equipment information exists in the fourth screening equipment information set;
if so, acquiring the equipment information as the equipment information which simultaneously meets the requirements of the first equipment and the second equipment;
if not, based on the historical use information of each piece of equipment information, the equipment information with the earliest last use time in the fourth screening equipment information set is obtained as the equipment information which simultaneously meets the requirements of the first equipment and the second equipment.
As an embodiment of the present invention, coordinate information in an agricultural policy is obtained, and a specific action route used for executing the policy is obtained by analyzing in combination with an infrastructure agricultural facility remote sensing image in a preset database, other specific action routes in use, and device information, and the specific action route specifically includes:
acquiring remote sensing images of the basic agricultural facilities in a preset database, and analyzing the remote sensing images to obtain road conditions of a planting area where the basic agricultural facilities are located; wherein the road conditions include: the road between every two planting areas and the position of the high-altitude obstacle in the planting areas;
constructing an agricultural road network based on roads between every two planting areas; dividing roads between every two planting areas into a plurality of action roads according to the passing width of preset equipment, wherein each action road is taken as a road section of the agricultural road network, and an intersection of every two action roads is taken as a node;
acquiring equipment information, and determining a trip mode of the equipment according to the equipment information; the travel modes comprise flight and ground movement;
acquiring a specific action route of other equipment in a use state consistent with the travel mode of the equipment as a second specific action route; acquiring the current action progress of the equipment corresponding to the second specific action route;
analyzing and obtaining a specific action route for executing the strategy based on the trip mode of the equipment;
if the travel mode is ground movement;
coordinate information in an agricultural strategy is obtained, and the shortest action path is obtained through analysis based on an agricultural road network;
judging whether the equipment corresponding to the second specific action route and the equipment corresponding to the shortest action path have an intersection point at any same time point based on the current action progress of the equipment corresponding to the second specific action route and the predicted action progress of the equipment corresponding to the shortest action path;
if the shortest action route exists, the shortest action route is adjusted based on the agricultural road network until no intersection point exists between the equipment corresponding to the second specific action route and the equipment corresponding to the shortest action route at any same time point, and the specific action route executed by the strategy is obtained; the method for adjusting the shortest action path comprises the following steps: any one or combination of more of travel time adjustment and action roads when intersection is adjusted;
if the travel mode is flight;
coordinate information in an agricultural strategy is obtained, and the shortest flight path is obtained through analysis based on the position of a high-altitude obstacle in a planting area;
judging whether the equipment corresponding to the second specific action route and the equipment corresponding to the shortest flight path have intersection points at any same time point based on the current flight progress of the equipment corresponding to the second specific action route and the predicted flight progress of the equipment corresponding to the shortest flight path;
if the shortest flight path exists, adjusting the shortest flight path based on the position of the high-altitude obstacle in the planting area until the equipment corresponding to the second specific action path does not have an intersection point with the equipment corresponding to the shortest flight path at any same time point, and obtaining the specific action path executed by the strategy; the method for adjusting the shortest flight path comprises the following steps: and any one or more of adjusting travel time and adjusting flight heights at intersection.
The beneficial effects of the invention are as follows:
the agricultural automatic production system can be used for solving the problems that when the agricultural automatic production system is put into production by depending on the subjective consciousness of a user, the user needs to judge the current agricultural environment, and then corresponding agricultural automatic equipment is adopted to put into agricultural production, so that the energy of the user is greatly wasted, and when the agricultural automatic equipment is put into production by depending on the subjective consciousness of the user, the coordination and management of the agricultural automatic equipment also greatly occupy the time of the user.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic diagram of an intelligent interactive processing system for facility agriculture based on internet of things technology in an embodiment of the invention;
fig. 2 is a schematic diagram of a data acquisition module in an intelligent interactive processing system for facility agriculture based on the technology of internet of things in the embodiment of the present invention;
FIG. 3 is a schematic diagram of a data processing module in an Internet of things technology-based intelligent interactive processing system for facility agriculture in an embodiment of the present invention;
fig. 4 is a schematic diagram of a policy execution module in an intelligent interactive processing system for facility agriculture based on the internet of things technology in the embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Referring to fig. 1, an embodiment of the present invention provides an intelligent interactive processing system for facility agriculture based on internet of things technology, including:
the data acquisition module 1 is used for acquiring various agricultural parameters of basic agricultural facilities based on the technology of the Internet of things;
the data processing module 2 is used for making an agricultural strategy according to the agricultural parameters;
the strategy execution module 3 is used for executing corresponding operations according to the received agricultural strategies;
the human-computer interaction module 4 is used for sending the agricultural strategy to the user, and acquiring and executing an intervention instruction of the user;
the working principle of the technical scheme is as follows: the data acquisition module 1 is mainly used for acquiring various agricultural parameters of basic agricultural facilities based on the Internet of things technology, wherein the basic agricultural facilities preferably refer to a planting area involved in agricultural production, the data acquisition module 1 comprises various sensors, a camera device, a positioning device and the like, the various devices in the data acquisition module 1 are connected based on the Internet of things technology to achieve the purpose of quickly and accurately acquiring data, various agricultural parameters in the basic agricultural facilities are monitored simultaneously, the data acquisition accuracy is improved, the timeliness of data acquisition is guaranteed, the data processing module 2 is mainly based on a preset database, agricultural strategies are formulated according to the agricultural parameters, the preset database preferably adopts a local database with corresponding data recorded in advance, and the recorded data comprises but is not limited to crop types, plant types and plant types in the basic agricultural facilities, The area, corresponding processing measures and the like are preferably arranged at the geometric center of the basic agricultural facility, which is beneficial to quickly receiving the agricultural parameters sent by each device in the data acquisition module 1, and meanwhile, the distance of signal transmission can be effectively reduced, so that the cost required by equipment is reduced; the system comprises a strategy execution module 3, a strategy selection module and a strategy selection module, wherein the strategy execution module 3 is mainly used for executing corresponding operations according to received agricultural strategies, the strategy execution module 3 is electrically connected with a plurality of automatic agricultural equipment and controlling the automatic agricultural equipment to execute corresponding strategies in a network connection mode and the like, meanwhile, the strategy execution module 3 is also electrically connected with various pipeline transmission devices, medicine storage devices and the like and used for sending corresponding instructions to enable the automatic agricultural equipment to infuse medicines and the like in the medicine storage devices through the various pipeline transmission devices according to the corresponding agricultural strategies, the 3 modules are mainly used for automatically and intelligently realizing corresponding agricultural production operations according to various interaction information, and further, a cleaning module is further arranged and connected with the strategy execution module 3 and is mainly used for cleaning and airing medicine storage boxes or storage boxes of the equipment when the automatic agricultural equipment returns; the human-computer interaction module 4 is used for sending the agricultural strategy to the user, and acquiring and executing an intervention instruction of the user; the module is mainly used for pertinently changing the agricultural strategy according to the personal planting mind of a user;
the beneficial effects of the above technical scheme are: through above-mentioned scheme, be of value to solving and need the user to judge current agricultural environment when relying on user's subjective consciousness to put into production at every turn, then adopt corresponding agricultural automation equipment to put into agricultural production, very big problem of having wasted user's energy and when relying on user's subjective consciousness to put into production, the problem that the time of user has been occupied that the coordination of each agricultural automation equipment, management are also very big.
Referring to fig. 2, in one embodiment, the data acquisition module 1 includes:
the information acquisition unit 10 is arranged in the basic agricultural facility and is used for acquiring various agricultural parameters in the basic agricultural facility; the agricultural parameters comprise any one of a monomer crop image, a similar crop image, soil nutrient information and soil humidity;
the information collection unit 10 includes:
the camera shooting subunit 101 is used for collecting the single crop images in the basic agricultural facility; wherein the monomer crop image is an individual plant image of any kind of plant;
the aerial photography unit 102 is used for acquiring images of the same type of crops in the basic agricultural facility; wherein the images of the same kind of crops are all images of any kind of plants in the basic agricultural facility;
a soil nutrient detection subunit 103, configured to collect soil nutrient information in the infrastructure agricultural facility;
a soil humidity detection subunit 104 for collecting soil humidity in the infrastructure agricultural facility;
the information sending unit 11 is used for sending various agricultural parameters to the data processing module based on a preset communication mode;
the working principle and the beneficial effects of the technical scheme are as follows: the information acquisition unit 10 is arranged in the basic agricultural facility and is used for acquiring various agricultural parameters in the basic agricultural facility, wherein the agricultural parameters comprise any one of a single crop image, a similar crop image, soil nutrient information and soil humidity; further, the information collecting unit 10 includes: the camera shooting subunit 101 is used for collecting the single crop images in the basic agricultural facility; wherein the monomer crop image is an individual plant image of any kind of plant; for example, one or more fixed cameras are provided in the infrastructure agricultural facility for capturing images of individual crops within the infrastructure agricultural facility; the aerial photography unit 102 is used for acquiring images of similar crops in an infrastructure agricultural facility; wherein the images of the same kind of crops are all images of any kind of plants in the basic agricultural facility; for example, a mode of shooting by an unmanned aerial vehicle is adopted, the planting coordinates of any crop in a preset database are obtained, and therefore images of all similar crops in the planting coordinates are collected; a soil nutrient detection subunit 103, configured to collect soil nutrient information in the infrastructure agricultural facility; for example, one or more soil nutrient analyzers are laid in advance in soil in the basic agricultural facility, and soil nutrient information in the basic agricultural facility is acquired through the soil nutrient analyzers; a soil humidity detection subunit 104 for collecting soil humidity in the infrastructure agricultural facility; for example, one or more humidity sensors are laid in advance in soil in the basic agricultural facility and used for acquiring the soil humidity in the basic agricultural facility; furthermore, more automatic agricultural equipment and more data acquisition devices can be added, so that information acquisition in a wider range is realized for subsequent strategy execution; and the information sending unit 11 is used for sending various agricultural parameters to the data processing module based on a preset communication mode, and the preset communication mode comprises any one of wired transmission and wireless transmission, so that the method is beneficial to adapting to various planting environments.
Referring to fig. 3, in one embodiment, the data processing module 2 includes:
the parameter acquiring unit 20 is used for acquiring various agricultural parameters sent by the data acquisition module 1 based on a preset communication mode;
the parameter processing unit 21 is used for making a corresponding agricultural strategy according to various agricultural parameters based on a preset database;
a strategy transmitting unit 22 for transmitting the agricultural strategy to the strategy execution module;
wherein, the parameter processing unit 21 is configured to formulate a corresponding agricultural strategy according to various agricultural parameters based on a preset database, and specifically includes:
acquiring a single crop image in various agricultural parameters, and judging the crop type of the single crop image by a parameter processing unit based on a preset database;
judging whether the single crop image has the pest and disease damage phenomenon or not according to the crop type and the single crop image based on a preset database;
if the same type of crop image exists, acquiring the same type of crop image corresponding to the single crop image in various agricultural parameters, and determining first coordinate information of the same type of crop image according to a positioning identifier preset around the same type of crop image; meanwhile, acquiring first medicine information and a first sowing strategy corresponding to the pest and disease damage phenomenon based on a preset database;
formulating a first agricultural strategy according to the first coordinate information, the first medicine information and the first sowing strategy;
acquiring soil nutrient information corresponding to planting land in the similar crop image in various agricultural parameters, and judging whether the soil nutrient information meets the nutritional requirements of the crop type corresponding to the similar crop image or not based on a preset database;
if not, acquiring second medicine information and a second sowing strategy corresponding to the missing nutrient information in the soil nutrient information based on a preset database;
formulating a second agricultural strategy according to the first coordinate information, the second medicine information and the second sowing strategy;
acquiring soil humidity information corresponding to planting land in the similar crop image in various agricultural parameters, and judging whether the soil humidity information meets the water requirement of the crop type corresponding to the similar crop image or not based on a preset database; the water demand comprises the water demand for over-drying of the land and the water demand for over-wetting of the land;
if not, acquiring third medicine information and a third sowing strategy corresponding to the missing moisture information in the soil humidity information based on a preset database;
formulating a third agricultural strategy according to the first coordinate information, the third medicine information and the third sowing strategy;
the working principle of the technical scheme is as follows: the parameter obtaining unit 20 obtains various agricultural parameters sent by the data acquisition module based on a preset communication mode, classifies the various agricultural parameters based on a preset classification rule, preferably classifies the agricultural data transmitted from the same crop planting area into one class according to the preset classification rule, classifies the various agricultural parameters and sends the various agricultural parameters to the parameter processing unit 21, and the parameter processing unit 21 formulates corresponding agricultural strategies according to the various agricultural parameters based on a preset database, specifically: acquiring a single crop image in various agricultural parameters, judging the crop type of the single crop image by a parameter processing unit based on a preset database, preferably comparing the characteristic information of the single crop image with the characteristic information stored in the preset database by a judging method, and thus obtaining the crop type corresponding to the single crop image; judging whether the single crop image has the pest and disease damage phenomenon or not according to the crop type and the single crop image based on a preset database, wherein the judging method is preferably consistent with the method for judging the crop type of the single crop image, and results are obtained by comparing characteristic information; if the same type of crop image exists, acquiring the same type of crop image corresponding to the single crop image in various agricultural parameters, and determining first coordinate information of the same type of crop image according to a positioning identifier preset around the same type of crop image; meanwhile, acquiring first medicine information and a first sowing strategy corresponding to the pest and disease damage phenomenon based on a preset database; preferably, positioning marks are embedded around each same crop planting area in advance and used for assisting the data processing module 2 to accurately divide the planting areas; formulating a first agricultural strategy according to the first coordinate information, the first medicine information and the first sowing strategy; acquiring soil nutrient information corresponding to planting land in the similar crop image in various agricultural parameters, and judging whether the soil nutrient information meets the nutritional requirements of the crop type corresponding to the similar crop image or not based on a preset database; preferably, if the soil nutrient analyzers buried in the same planting land comprise a plurality of soil nutrient analyzers, dividing the same planting land into a plurality of small planting land areas according to the number of the soil nutrient analyzers according to the maximum detection range of each soil nutrient analyzer, modifying the first coordinate into a coordinate corresponding to the small planting area, preferably setting the source of the coordinate to be the coordinate of the soil nutrient analyzer buried in the same planting land according to the area of the planting area in a preset database, and determining the coordinate information of the total planting land area; if not, acquiring second medicine information and a second sowing strategy corresponding to the missing nutrient information in the soil nutrient information based on a preset database; formulating a second agricultural strategy according to the first coordinate information, the second medicine information and the second sowing strategy; acquiring soil humidity information corresponding to planting land in the similar crop image in various agricultural parameters, and judging whether the soil humidity information meets the water requirement of the crop type corresponding to the similar crop image or not based on a preset database; wherein, the water requirement comprises the water requirement for over-drying the land and the water removal requirement for over-wetting the land; if not, acquiring third medicine information and a third sowing strategy corresponding to the missing moisture information in the soil humidity information based on a preset database; if the land is too dry, namely the missing water content in the missing water information is a negative number, the corresponding third medicine information is preferably water-absorbing materials such as quicklime and the like, and meanwhile, the data processing module can also adjust the medicine information correspondingly according to the crop type to prevent the phenomenon that the crops are not suitable; formulating a third agricultural strategy according to the first coordinate information, the third medicine information and the third sowing strategy; a strategy transmitting unit 22 for transmitting the agricultural strategy to the strategy execution module;
the beneficial effects of the above technical scheme are: the corresponding agricultural strategy is intelligently formulated automatically according to the corresponding agricultural parameters, the user is required to judge the current agricultural environment when the user is not required to put into production again depending on the subjective consciousness of the user, the energy consumption of the user is reduced, and the intelligence of agricultural equipment is improved.
Referring to fig. 4, in one embodiment, the policy enforcement module 3 includes:
the strategy acquisition unit 30 is used for acquiring the agricultural strategies sent by the data processing module 2;
the strategy analysis unit 31 is used for analyzing the agricultural strategies to obtain corresponding execution strategies and outputting the execution strategies to the strategy execution unit 32;
a policy executing unit 32, configured to select the corresponding device 5 according to the execution policy to execute the corresponding operation;
the policy analysis unit 31 is configured to analyze the agricultural policies to obtain corresponding execution policies, and output the execution policies to the policy execution unit, and specifically includes:
acquiring drug information in an agricultural strategy, and analyzing to obtain a first device requirement corresponding to the drug bearing information based on a preset database;
acquiring a broadcasting strategy in the agricultural strategy, and analyzing to obtain a second equipment requirement corresponding to the implementation of the broadcasting strategy based on a preset database;
screening to obtain equipment information which simultaneously meets the requirements of the first equipment and the second equipment based on a preset database;
acquiring coordinate information in an agricultural strategy, and analyzing and obtaining a specific action route for executing the strategy by combining a remote sensing image of an infrastructure agricultural facility in a preset database, other specific action routes in use and equipment information;
generating an execution strategy according to the agricultural strategy, the equipment information and the specific action route, and outputting the execution strategy to the strategy execution unit 32;
the working principle of the technical scheme is as follows: the policy enforcement module 3 may be located in the same terminal as the data processing module 2, or may be separately configured, where the policy obtaining unit 30 is configured to obtain the agricultural policy sent by the data processing module 2, and if the policy obtaining unit is separately configured, the communication mode may select any one of a wired communication mode and a wireless communication mode, and the policy analysis unit 31 is configured to analyze the agricultural policy to obtain a corresponding enforcement policy, and output the enforcement policy to the policy enforcement unit 32, and specifically includes: step 1: acquiring drug information in an agricultural strategy, and analyzing to obtain a first device requirement corresponding to the drug bearing information based on a preset database; for example, when the number of medicine boxes of some automated agricultural equipment is too small, and the kinds of medicine information are too many and cannot be mixed, the number of the medicine boxes of the automated agricultural equipment becomes a first equipment requirement corresponding to the medicine information; acquiring a broadcasting strategy in the agricultural strategy, and analyzing to obtain a second equipment requirement corresponding to the implementation of the broadcasting strategy based on a preset database; for example, some drugs need to be broadcast aloft, some drugs need to be broadcast to roots, etc., which creates a second equipment requirement; furthermore, in order to ensure the accuracy of equipment selection, more equipment requirements can be screened for subsequent screening, based on the preset database, the equipment information simultaneously meeting the requirements of the first equipment and the second equipment is obtained by screening, namely the equipment information to be used is screened from the existing equipment information to be used in the preset database, and the equipment information simultaneously meeting the requirements of the first equipment and the second equipment is obtained; acquiring coordinate information in an agricultural strategy, and analyzing and obtaining a specific action route for executing the strategy by combining a remote sensing image of an infrastructure agricultural facility in a preset database, other specific action routes in use and equipment information; generating an execution strategy according to the agricultural strategy, the equipment information and the specific action route, and outputting the execution strategy to the strategy execution unit 32; a policy executing unit 32, configured to select the corresponding device 5 according to the execution policy to execute the corresponding operation;
the beneficial effects of the above technical scheme are: through the tactics execution module, automatic management and the agricultural automation equipment of coordination, simultaneously through the tactics analysis unit, the execution strategy that the accurate formulation corresponds is used for controlling agricultural automation equipment and corresponds the operation, is of value to and improves agricultural production efficiency, and high intellectuality simultaneously, automatic agricultural production can effectively reduce the occupation rate of automatic agricultural production to user's time.
In one embodiment, the human-computer interaction module 4 performs operations comprising:
receiving the agricultural strategy sent by the data processing module 2;
based on a preset communication mode, sending the agricultural strategy to a user for displaying;
receiving a preset intervention instruction sent by a user based on a preset communication mode;
performing corresponding intervention on the behavior of the strategy execution module according to the intervention instruction;
the working principle and the beneficial effects of the technical scheme are as follows: receiving the agricultural strategy sent by the data processing module 2; based on a preset communication mode, sending the agricultural strategy to a user for displaying; receiving a preset intervention instruction sent by a user based on a preset communication mode; performing corresponding intervention on the behavior of the strategy execution module according to the intervention instruction; furthermore, each intervention instruction is subjected to behavior analysis, the sowing strategy and the medicine information in the preset database are modified according to the intervention instruction, the module is used for pertinently changing the agricultural strategy according to the personal planting center of the user, the interactivity of the system is improved, meanwhile, the planting center deviation of the user is obtained by analyzing the intervention instruction of the user, and the system is more suitable for different users.
In one embodiment, based on the preset database, the screening to obtain the device information that simultaneously meets the requirements of the first device and the second device specifically includes:
acquiring equipment information of all equipment which can currently execute the strategy in a preset database, and constructing an equipment information set; each device can simultaneously meet a plurality of first device requirements and a plurality of second device requirements;
the method comprises the steps that a first screening is conducted on an equipment information set based on first equipment requirements, and equipment which does not meet the first equipment requirements in the equipment information set is removed to obtain a first screening equipment information set;
performing secondary screening on the first screening equipment information set based on second equipment requirements, and removing equipment which does not meet the second equipment requirements in the equipment information set to obtain a second screening equipment information set;
judging whether the second screening equipment information set has equipment information or not;
if not, sending the demand information to the user;
if yes, judging whether only one piece of equipment information exists in the second screening equipment information set;
if so, acquiring the equipment information as the equipment information which simultaneously meets the requirements of the first equipment and the second equipment;
if not, acquiring historical use information of each piece of equipment information in the second screening equipment information set; the historical use information comprises the last use time of the equipment, the last loaded medicine information and the last executed broadcast strategy;
based on the historical use information of each piece of equipment information, removing the equipment information, which is different from the requirement of the first equipment, of the last-time loaded medicine information in the second screening equipment information set to obtain a third screening equipment information set;
judging whether the third screening equipment information set has equipment information or not;
if the equipment information does not exist, randomly selecting any equipment information in the second screening equipment information set as equipment information which simultaneously meets the requirements of the first equipment and the second equipment;
if yes, judging whether only one piece of equipment information exists in the third screening equipment information set;
if so, acquiring the equipment information as the equipment information which simultaneously meets the requirements of the first equipment and the second equipment;
if not, based on the historical use information of each piece of equipment information, removing the equipment information of which the broadcast strategy executed last time in the third screening equipment information set is inconsistent with the requirement of the second equipment to obtain a fourth screening equipment information set;
judging whether equipment information exists in the fourth screening equipment information set or not;
if the equipment information does not exist, randomly selecting any equipment information in the third screening equipment information set as equipment information which simultaneously meets the requirements of the first equipment and the second equipment;
if yes, judging whether only one piece of equipment information exists in the fourth screening equipment information set;
if so, acquiring the equipment information as the equipment information which simultaneously meets the requirements of the first equipment and the second equipment;
if not, acquiring the equipment information with the earliest last use time of the fourth screening equipment information set equipment as the equipment information which simultaneously meets the requirements of the first equipment and the second equipment based on the historical use information of each piece of equipment information;
the working principle of the technical scheme is as follows: in practical situations, when a user is in order to reduce cost, when there are fewer automated agricultural devices arranged in an infrastructure agricultural facility, frequent repeated and continuous work of the same automated device can occur when randomly selecting device information, which leads to a reduction in the service life of the automated device, and there are fewer automated agricultural devices, in order to realize continuous work, a situation that cleaning efficiency is improved by reducing cleaning cleanliness occurs when a cleaning module cleans the automated device, so that a medicine storage box and a medicine delivery pipe of the automated device have medicine residues, and a situation that a medicine conflict may exist or a medicine effect may be reduced when a subsequent strategy execution module controls the automated device to perform other medicine storage and distribution strategies, can effectively solve the above problems through the following scheme, specifically as follows: based on the preset database, the equipment information which simultaneously meets the requirements of the first equipment and the second equipment is obtained by screening, and the method specifically comprises the following steps: acquiring equipment information of all equipment which can currently execute the strategy in a preset database, and constructing an equipment information set; each device can simultaneously meet a plurality of first device requirements and a plurality of second device requirements; the method comprises the steps that a first screening is conducted on an equipment information set based on first equipment requirements, and equipment which does not meet the first equipment requirements in the equipment information set is removed to obtain a first screening equipment information set; performing secondary screening on the first screening equipment information set based on a second equipment requirement, and removing equipment which does not meet the second equipment requirement in the equipment information set to obtain a second screening equipment information set; judging whether only one piece of equipment information exists in the second screening equipment information set; furthermore, if no equipment information exists in the second screening equipment information set, the requirement information is sent to the user, and meanwhile, the task is temporarily put aside for waiting for an instruction of user intervention; if so, acquiring the equipment information as the equipment information which simultaneously meets the requirements of the first equipment and the second equipment; if not, acquiring historical use information of each piece of equipment information in the second screening equipment information set; the historical use information comprises the last use time of the equipment, the last loaded medicine information and the last executed broadcast strategy; the historical use information of each device is recorded and stored in a preset database in real time; based on the historical use information of each piece of equipment information, removing the equipment information, which is different from the requirement of the first equipment, of the last-time loaded medicine information in the second screening equipment information set to obtain a third screening equipment information set; judging whether only one piece of equipment information exists in the third screening equipment information set; if so, acquiring the equipment information as the equipment information which simultaneously meets the requirements of the first equipment and the second equipment; if not, based on the historical use information of each piece of equipment information, removing the equipment information of which the broadcast strategy executed last time in the third screening equipment information set is inconsistent with the requirement of the second equipment to obtain a fourth screening equipment information set; furthermore, if any piece of equipment information does not exist in the third screening equipment information set, randomly screening any piece of equipment information in the second screening equipment information set as the equipment information which simultaneously meets the requirements of the first equipment and the second equipment; judging whether the fourth screening equipment information set only has one piece of equipment information; if so, acquiring the equipment information as the equipment information which simultaneously meets the requirements of the first equipment and the second equipment; if not, acquiring the equipment information with the earliest last use time of the fourth screening equipment information set equipment as the equipment information which simultaneously meets the requirements of the first equipment and the second equipment based on the historical use information of each piece of equipment information; furthermore, if any piece of equipment information does not exist in the fourth screening equipment information set, randomly screening any piece of equipment information in the third screening equipment information set as the equipment information which simultaneously meets the requirements of the first equipment and the second equipment;
the beneficial effects of the above technical scheme are: when the number of the automatic agricultural equipment arranged in the infrastructure agricultural facility is small, the problem that the service life of the automatic equipment is reduced due to frequent repeated and continuous work of the same automatic equipment can occur when equipment information is randomly selected, and when the number of the automatic agricultural equipment is small, the situation that the cleaning efficiency is improved by reducing the cleaning cleanliness of the cleaning module when the automatic equipment is cleaned is caused to occur in order to realize continuous work, so that a medicine storage box and a medicine conveying pipe of the automatic equipment have medicine residues, and when a subsequent strategy execution module controls the automatic equipment to carry out other medicine storage and sowing strategies, the situation that medicine conflict exists or the medicine effect is reduced is caused, so that the production efficiency of the automatic agricultural equipment is reduced; the intelligent coordination mode is realized by associating the historical use information of each piece of equipment information, the first equipment requirement and the second equipment requirement, so that the service life of the automatic agricultural equipment is prolonged, and the production efficiency of the automatic agricultural equipment is improved.
In one embodiment, the method for obtaining coordinate information in the agricultural strategy and analyzing the coordinate information in combination with the remote sensing image of the infrastructure agricultural facility in the preset database, the other specific action route in use and the device information to obtain the specific action route used for executing the strategy specifically includes:
acquiring remote sensing images of the basic agricultural facilities in a preset database, and analyzing the remote sensing images to obtain road conditions of a planting area where the basic agricultural facilities are located; wherein the road conditions include: the road between every two planting areas and the position of the high-altitude obstacle in the planting areas;
constructing an agricultural road network based on roads between every two planting areas; dividing roads between every two planting areas into a plurality of action roads according to the passing width of preset equipment, wherein each action road is taken as a road section of the agricultural road network, and an intersection of every two action roads is taken as a node;
acquiring equipment information, and determining a trip mode of the equipment according to the equipment information; the travel modes comprise flight and ground movement;
acquiring a specific action route of other equipment in a use state consistent with the travel mode of the equipment, and taking the specific action route as a second specific action route; acquiring the current action progress of the equipment corresponding to the second specific action route;
analyzing and obtaining a specific action route for executing the strategy based on the trip mode of the equipment;
if the travel mode is ground movement;
coordinate information in an agricultural strategy is obtained, and the shortest action path is obtained through analysis based on an agricultural road network;
judging whether the equipment corresponding to the second specific action route and the equipment corresponding to the shortest action path have an intersection point at any same time point based on the current action progress of the equipment corresponding to the second specific action route and the predicted action progress of the equipment corresponding to the shortest action path;
if the shortest action route exists, the shortest action route is adjusted based on the agricultural road network until no intersection point exists between the equipment corresponding to the second specific action route and the equipment corresponding to the shortest action route at any same time point, and the specific action route executed by the strategy is obtained; the method for adjusting the shortest action path comprises the following steps: any one or combination of more of adjusting travel time and adjusting action roads when intersecting;
if the travel mode is flight;
coordinate information in an agricultural strategy is obtained, and the shortest flight path is obtained through analysis based on the position of a high-altitude obstacle in a planting area;
judging whether the equipment corresponding to the second specific action route and the equipment corresponding to the shortest flight path have intersection points at any same time point based on the current flight progress of the equipment corresponding to the second specific action route and the predicted flight progress of the equipment corresponding to the shortest flight path;
if the shortest flight path exists, adjusting the shortest flight path based on the position of the high-altitude obstacle in the planting area until the equipment corresponding to the second specific action path does not have an intersection point with the equipment corresponding to the shortest flight path at any same time point, and obtaining the specific action path executed by the strategy; the method for adjusting the shortest flight path comprises the following steps: any one or combination of more of adjusting travel time and adjusting flight heights during intersection;
the working principle of the technical scheme is as follows: in practical situations, when the agricultural policy is executed by the automatic agricultural equipment, the agricultural policy is usually executed according to the set action route, when the number of the automated agricultural equipment in the infrastructure is too large, the way of directly distributing the action route according to the shortest path may cause the collision of two or even more automated agricultural equipment, which causes loss, the automatic agricultural equipment has a flight action path when executing strategies, if a high-precision intelligent avoiding system is arranged in the automatic agricultural equipment, the cost of each automatic agricultural equipment is increased, and by adopting the following technical scheme, the specific action routes of all the automatic agricultural equipment are intelligently planned without increasing the cost of each automatic agricultural equipment, the automatic agricultural equipment is prevented from causing damage to the property of the user due to the collision danger when the strategy is executed; the specific technical scheme is as follows: acquiring remote sensing images of the basic agricultural facilities in a preset database, and analyzing the remote sensing images to obtain road conditions of a planting area where the basic agricultural facilities are located; wherein the road conditions include: the road between every two planting areas and the position of the high-altitude obstacle in the planting areas; constructing an agricultural road network based on roads between every two planting areas; the agricultural road network divides roads between every two planting areas into a plurality of action roads according to the passing width of preset equipment, each action road is taken as a road section, and the intersection of every two action roads is taken as a node; acquiring equipment information, and determining a trip mode of the equipment according to the equipment information; the travel modes comprise flight and ground movement; furthermore, with the increase of equipment, the travel mode also comprises underground transportation; obtaining the travel mode consistent with the equipmentAs a second specific action route, the specific action route of the other devices in use; acquiring the current action progress of the equipment corresponding to the second specific action route; the current action progress comprises a predicted current action position and a predicted current action condition, and the prediction method is obtained through simulation analysis before the equipment starts; analyzing and obtaining a specific action route for executing the strategy based on the trip mode of the equipment; if the travel mode is ground movement; coordinate information in an agricultural strategy is obtained, and the shortest action path is obtained through analysis based on an agricultural road network; judging whether the equipment corresponding to the second specific action route and the equipment corresponding to the shortest action path have an intersection at any same time point based on the current action progress of the equipment corresponding to the second specific action route and the predicted action progress of the equipment corresponding to the shortest action path; if the shortest action route exists, the shortest action route is adjusted based on the agricultural road network until no intersection point exists between the equipment corresponding to the second specific action route and the equipment corresponding to the shortest action route at any same time point, and the specific action route executed by the strategy is obtained; the method for adjusting the shortest action path comprises the following steps: any one or combination of more of adjusting travel time and adjusting action roads when intersecting; furthermore, in order to improve the accuracy of the obtained shortest action path, the time impedance can be considered when the travel time is adjusted, if the intersection point between the devices is not a node in the agricultural road network, the time impedance of the time is calculated based on a preset first calculation formula, and if the intersection point between the devices is a node in the agricultural road network, the time impedance of the time is calculated based on a preset second calculation formula; the preset first calculation formula and the preset second calculation formula are preferably:
Figure BDA0003528773580000241
wherein Z istB is the proportion of the equipment moving on the ground and performing strategy execution passing the node for time impedance, M is the shortest time length for the current equipment to reach the intersection point, c is the saturation of the node when the current equipment reaches the node, v is the average speed of the current equipment, and M is the average speed of the current equipment reaching the phaseThe distance required by the intersection point; if the travel mode is flight; coordinate information in an agricultural strategy is obtained, and the shortest flight path is obtained through analysis based on the position of a high-altitude obstacle in a planting area; judging whether the equipment corresponding to the second specific action route and the equipment corresponding to the shortest flight path have intersection points at any same time point based on the current flight progress of the equipment corresponding to the second specific action route and the predicted flight progress of the equipment corresponding to the shortest flight path; if the shortest flight path exists, adjusting the shortest flight path based on the position of the high-altitude obstacle in the planting area until the equipment corresponding to the second specific action path does not have an intersection point with the equipment corresponding to the shortest flight path at any same time point, and obtaining the specific action path executed by the strategy; the method for adjusting the shortest flight path comprises the following steps: any one or combination of more of adjusting travel time and adjusting flight heights during intersection; preferably, in the automatic management process, the existence of random walk of personnel or random flight of objects in the infrastructure agriculture facility is usually not allowed, and when special conditions are met, a user can perform an intervention strategy through the human-computer interaction module 4 to send out or temporarily close the system;
the beneficial effects of the above technical scheme are: the method has the advantages that the specific action routes of all the automatic agricultural equipment are intelligently planned while the cost of each piece of automatic agricultural equipment is not increased, so that the automatic agricultural equipment cannot cause property damage of a user due to the danger of collision when a strategy is executed, and the improvement of the intelligent level of the automatic agricultural equipment during interaction is facilitated.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (10)

1. The utility model provides a mutual processing system of facility agriculture intelligence based on internet of things, includes: the data acquisition module is used for acquiring various agricultural parameters of the basic agricultural facilities based on the technology of the Internet of things;
the data processing module is used for formulating an agricultural strategy according to the agricultural parameters;
the strategy execution module is used for executing corresponding operation according to the received agricultural strategy;
and the human-computer interaction module is used for sending the agricultural strategy to a user, and acquiring and executing an intervention instruction of the user.
2. The Internet of things technology-based intelligent interactive processing system for agricultural facilities, according to claim 1, wherein the data acquisition module comprises:
the information acquisition unit is arranged in the basic agricultural facility and is used for acquiring various agricultural parameters in the basic agricultural facility; the agricultural parameters comprise any one of a monomer crop image, a similar crop image, soil nutrient information and soil humidity;
and the information sending unit is used for sending various agricultural parameters to the data processing module based on a preset communication mode.
3. The intelligent interactive processing system for agriculture facility based on technology of internet of things as claimed in claim 2, wherein said information collecting unit comprises:
the camera shooting subunit is used for collecting the single crop images in the basic agricultural facility; wherein the monomer crop image is an individual plant image of any kind of plant;
the aerial photography subunit is used for acquiring images of the same type of crops in the basic agricultural facility; wherein the images of the same type of crop are all images of any type of plant within the infrastructure agricultural facility;
a soil nutrient detection subunit for collecting soil nutrient information within the infrastructure agricultural facility;
and the soil humidity detection subunit is used for collecting the soil humidity in the basic agricultural facility.
4. The Internet of things technology-based intelligent interactive processing system for facility agriculture of claim 1, wherein the data processing module comprises:
the parameter acquisition unit is used for acquiring various agricultural parameters sent by the data acquisition module based on a preset communication mode;
the parameter processing unit is used for formulating a corresponding agricultural strategy according to various agricultural parameters based on a preset database;
and the strategy sending unit is used for sending the agricultural strategy to the strategy execution module.
5. The intelligent interactive processing system for facility agriculture based on internet of things technology as claimed in claim 4, wherein the parameter processing unit is configured to formulate a corresponding agricultural strategy according to various agricultural parameters based on a preset database, and specifically comprises:
acquiring a monomer crop image in various agricultural parameters, wherein the parameter processing unit judges the crop type of the monomer crop image based on a preset database;
judging whether the single crop image has the pest and disease damage phenomenon or not according to the crop type and the single crop image based on a preset database;
if the single crop image exists, acquiring a similar crop image corresponding to the single crop image in various agricultural parameters, and determining first coordinate information of the similar crop image according to a positioning identifier preset around the similar crop image; meanwhile, acquiring first medicine information and a first sowing strategy corresponding to the pest and disease damage phenomenon based on a preset database;
formulating a first agricultural strategy according to the first coordinate information, the first medicine information and the first sowing strategy;
acquiring soil nutrient information corresponding to planting land in the similar crop image in various agricultural parameters, and judging whether the soil nutrient information meets the nutritional requirements of the crop type corresponding to the similar crop image or not based on a preset database;
if not, acquiring second medicine information and a second sowing strategy corresponding to the missing nutrient information in the soil nutrient information based on a preset database;
formulating a second agricultural strategy according to the first coordinate information, the second medicine information and a second sowing strategy;
acquiring soil humidity information corresponding to planting land in the similar crop image in various agricultural parameters, and judging whether the soil humidity information meets the water requirement of the crop type corresponding to the similar crop image or not based on a preset database; wherein the water requirement comprises a land overdry water requirement and a land overwetting and dewatering requirement;
if not, acquiring third medicine information and a third sowing strategy corresponding to the missing moisture information in the soil humidity information based on a preset database;
and formulating a third agricultural strategy according to the first coordinate information, the third medicine information and the third sowing strategy.
6. The Internet of things technology-based intelligent interactive processing system for facility agriculture of claim 1, wherein the policy enforcement module comprises:
the strategy acquisition unit is used for acquiring the agricultural strategy sent by the data processing module;
the strategy analysis unit is used for analyzing the agricultural strategies to obtain corresponding execution strategies and outputting the execution strategies to the strategy execution unit;
and the strategy execution unit is used for selecting corresponding equipment to execute corresponding operation according to the execution strategy.
7. The intelligent interactive processing system for facility agriculture based on internet of things technology as claimed in claim 6, wherein the policy analysis unit is configured to analyze the agricultural policy to obtain a corresponding execution policy, and output the execution policy to the policy execution unit, specifically comprising:
acquiring drug information in the agricultural strategy, and analyzing to obtain a first device requirement for bearing the drug information on the basis of a preset database;
acquiring a broadcast strategy in the agricultural strategy, and analyzing to obtain a second equipment requirement for implementing the broadcast strategy based on a preset database;
screening to obtain equipment information which simultaneously meets the requirements of the first equipment and the second equipment based on a preset database;
acquiring coordinate information in the agricultural strategy, and analyzing and obtaining a specific action route for executing the strategy by combining an infrastructure agricultural facility remote sensing image in a preset database, other specific action routes in use and the equipment information;
and generating an execution strategy according to the agricultural strategy, the equipment information and the specific action route, and outputting the execution strategy to the strategy execution unit.
8. The intelligent interactive processing system for agricultural facilities based on the technology of internet of things of claim 1, wherein the human-computer interaction module executes the following operations:
receiving the agricultural strategy sent by the data processing module;
based on a preset communication mode, sending the agricultural strategy to a user for displaying;
receiving a preset intervention instruction sent by a user based on a preset communication mode;
and correspondingly intervening the behavior of the strategy execution module according to the intervention instruction.
9. The intelligent interactive processing system for facility agriculture based on internet of things technology of claim 7, wherein the screening to obtain the device information meeting the requirements of the first device and the second device at the same time based on the preset database specifically comprises:
acquiring equipment information of all equipment which can currently execute the strategy in a preset database, and constructing an equipment information set; each device can simultaneously meet a plurality of first device requirements and a plurality of second device requirements;
screening the equipment information set for the first time based on the first equipment requirement, and removing equipment which does not meet the first equipment requirement in the equipment information set to obtain a first screened equipment information set;
performing secondary screening on the first screening equipment information set based on the second equipment requirement, and removing equipment which does not meet the second equipment requirement in the equipment information set to obtain a second screening equipment information set;
judging whether the second screening equipment information set has equipment information or not;
if not, sending the demand information to the user;
if yes, judging whether only one piece of equipment information exists in the second screening equipment information set;
if so, acquiring the equipment information as the equipment information which simultaneously meets the requirements of the first equipment and the second equipment;
if not, acquiring historical use information of each piece of equipment information in the second screening equipment information set; wherein the historical use information comprises the last use time of the equipment, the last loaded medicine information and the last executed broadcast strategy;
based on the historical use information of each piece of equipment information, removing the equipment information of which the medicine information loaded last time in the second screening equipment information set is inconsistent with the requirement of the first equipment to obtain a third screening equipment information set;
judging whether the third screening equipment information set has equipment information or not;
if the equipment information does not exist, randomly selecting any equipment information in the second screening equipment information set as equipment information which simultaneously meets the requirements of the first equipment and the second equipment;
if yes, judging whether only one piece of equipment information exists in the third screening equipment information set;
if so, acquiring the equipment information as the equipment information which simultaneously meets the requirements of the first equipment and the second equipment;
if not, based on the historical use information of each piece of equipment information, removing the equipment information of which the broadcast strategy executed last time in the third screening equipment information set is inconsistent with the requirement of the second equipment to obtain a fourth screening equipment information set;
judging whether the fourth screening equipment information set has equipment information or not;
if the equipment information does not exist, randomly selecting any equipment information in the third screening equipment information set as equipment information which simultaneously meets the requirements of the first equipment and the second equipment;
if yes, judging whether only one piece of equipment information exists in the fourth screening equipment information set;
if so, acquiring the equipment information as the equipment information which simultaneously meets the requirements of the first equipment and the second equipment;
if not, based on the historical use information of each piece of equipment information, obtaining the equipment information with the earliest last use time of the fourth screening equipment information set as the equipment information which simultaneously meets the requirements of the first equipment and the second equipment.
10. The intelligent interactive processing system for facility agriculture based on the technology of internet of things as claimed in claim 7, wherein the obtaining of coordinate information in the agricultural strategy, combined with remote sensing images of basic agricultural facilities in a preset database, other specific action routes in use and the device information, analyzes to obtain a specific action route for the execution of the strategy, specifically comprises:
acquiring remote sensing images of basic agricultural facilities in a preset database, and analyzing the remote sensing images to obtain road conditions of a planting area where the basic agricultural facilities are located; wherein the road condition comprises: the road between every two planting areas and the position of the high-altitude obstacle in the planting areas;
constructing an agricultural road network based on the road between every two planting areas; dividing roads between every two planting areas into a plurality of action roads according to a preset equipment passing width, wherein each action road is taken as a road section of the agricultural road network, and an intersection of every two action roads is taken as a node;
acquiring the equipment information, and determining a trip mode of the equipment according to the equipment information; the travel modes comprise flight and ground movement;
acquiring a specific action route of other equipment in a use state consistent with the travel mode of the equipment, and taking the specific action route as a second specific action route; acquiring the current action progress of equipment corresponding to the second specific action route;
analyzing and obtaining a specific action route for executing the strategy based on the travel mode of the equipment;
if the travel mode is ground movement;
coordinate information in the agricultural strategy is obtained, and the shortest action path is obtained through analysis based on the agricultural road network;
judging whether the equipment corresponding to the second specific action route and the equipment corresponding to the shortest action path have an intersection point at any same time point based on the current action progress of the equipment corresponding to the second specific action route and the predicted action progress of the equipment corresponding to the shortest action path;
if the shortest action path exists, adjusting the shortest action path based on the agricultural road network until no intersection point exists between the equipment corresponding to the second specific action path and the equipment corresponding to the shortest action path at any same time point, and obtaining the specific action path executed by the strategy; the method for adjusting the shortest action path comprises the following steps: any one or combination of more of adjusting travel time and adjusting action roads when intersecting;
if the travel mode is flight;
acquiring coordinate information in the agricultural strategy, and analyzing to obtain the shortest flight path based on the position of the high-altitude obstacle in the planting area;
judging whether the equipment corresponding to the second specific action route and the equipment corresponding to the shortest flight path have intersection points at any same time point based on the current flight progress of the equipment corresponding to the second specific action route and the predicted flight progress of the equipment corresponding to the shortest flight path;
if the shortest flight path exists, adjusting the shortest flight path based on the position of the high-altitude obstacle in the planting area until no intersection point exists between the equipment corresponding to the second specific action path and the equipment corresponding to the shortest flight path at any same time point, and obtaining a specific action path executed by the strategy; wherein the method for adjusting the shortest flight path comprises: and any one or more of adjusting travel time and adjusting flight heights at intersection.
CN202210199597.1A 2022-03-02 2022-03-02 Intelligent interactive processing system of facility agriculture based on internet of things Active CN114545833B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210199597.1A CN114545833B (en) 2022-03-02 2022-03-02 Intelligent interactive processing system of facility agriculture based on internet of things

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210199597.1A CN114545833B (en) 2022-03-02 2022-03-02 Intelligent interactive processing system of facility agriculture based on internet of things

Publications (2)

Publication Number Publication Date
CN114545833A true CN114545833A (en) 2022-05-27
CN114545833B CN114545833B (en) 2023-05-02

Family

ID=81661263

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210199597.1A Active CN114545833B (en) 2022-03-02 2022-03-02 Intelligent interactive processing system of facility agriculture based on internet of things

Country Status (1)

Country Link
CN (1) CN114545833B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115314851A (en) * 2022-07-05 2022-11-08 南京邮电大学 Agricultural information management platform based on big data platform

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140303814A1 (en) * 2013-03-24 2014-10-09 Bee Robotics Corporation Aerial farm robot system for crop dusting, planting, fertilizing and other field jobs
US20170316692A1 (en) * 2016-05-02 2017-11-02 Cnh Industrial America Llc System For Avoiding Collisions Between Autonomous Vehicles Conducting Agricultural Operations
CN107426495A (en) * 2017-05-31 2017-12-01 深圳前海弘稼科技有限公司 Method and system for intelligently controlling planting box
CN108122170A (en) * 2017-12-21 2018-06-05 中国科学院合肥物质科学研究院 Efficient ecological agriculture forestry planting monitors in real time and intelligent decision system
CN109253729A (en) * 2018-09-19 2019-01-22 沈阳无距科技有限公司 A kind of unmanned plane route planning method, device and electronic equipment
CN110210434A (en) * 2019-06-10 2019-09-06 四川大学 Pest and disease damage recognition methods and device
CN112561367A (en) * 2020-12-22 2021-03-26 湖北良顷农业科技有限公司 Intelligent planting decision control system
CN113252584A (en) * 2021-04-22 2021-08-13 华南农业大学 Crop growth detection method and system based on 5G transmission

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140303814A1 (en) * 2013-03-24 2014-10-09 Bee Robotics Corporation Aerial farm robot system for crop dusting, planting, fertilizing and other field jobs
US20170316692A1 (en) * 2016-05-02 2017-11-02 Cnh Industrial America Llc System For Avoiding Collisions Between Autonomous Vehicles Conducting Agricultural Operations
CN107426495A (en) * 2017-05-31 2017-12-01 深圳前海弘稼科技有限公司 Method and system for intelligently controlling planting box
CN108122170A (en) * 2017-12-21 2018-06-05 中国科学院合肥物质科学研究院 Efficient ecological agriculture forestry planting monitors in real time and intelligent decision system
CN109253729A (en) * 2018-09-19 2019-01-22 沈阳无距科技有限公司 A kind of unmanned plane route planning method, device and electronic equipment
CN110210434A (en) * 2019-06-10 2019-09-06 四川大学 Pest and disease damage recognition methods and device
CN112561367A (en) * 2020-12-22 2021-03-26 湖北良顷农业科技有限公司 Intelligent planting decision control system
CN113252584A (en) * 2021-04-22 2021-08-13 华南农业大学 Crop growth detection method and system based on 5G transmission

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
文小玲等: "基于ARM和ZigBee的农作物生长环境监控系统的设计", 《建材世界》 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115314851A (en) * 2022-07-05 2022-11-08 南京邮电大学 Agricultural information management platform based on big data platform

Also Published As

Publication number Publication date
CN114545833B (en) 2023-05-02

Similar Documents

Publication Publication Date Title
Boursianis et al. Internet of things (IoT) and agricultural unmanned aerial vehicles (UAVs) in smart farming: A comprehensive review
Vasisht et al. {FarmBeats}: an {IoT} platform for {Data-Driven} agriculture
US11889793B2 (en) Internet-of-things management and control system for intelligent orchard
CN110728332A (en) Agricultural data analysis method and system based on Internet of things
CN105425755A (en) Smart agricultural planting system based on internet of things
CN108765763A (en) The unmanned mobile culture equipment of wisdom formula, shared system and business model
CN105843147A (en) Smart agriculture monitoring and management system
CN205819567U (en) A kind of unmanned plane plant protection system
CN110679259A (en) Intelligent water and fertilizer integrated system and method based on automatic driving inspection device
CN104764533A (en) Intelligent agricultural system based on unmanned aerial vehicle image collecting and thermal infrared imager
CN116738766B (en) Intelligent agriculture online industrialization service system based on digital twinning
CN115362811A (en) Mountain crop intelligent cultivation system based on digital twinning
CN103985056A (en) Method and system for collecting agricultural product production records under WSN farmland free partitions
CN204616606U (en) A kind of diseases and pests of agronomic crop monitor and early warning system
CN105225161A (en) A kind of farming agriculture feelings intelligent collector
CN108462748A (en) Administer control method and its device, cloud server, administering method and its system
CN110825058A (en) Crop real-time monitoring system
CN113865640A (en) Monitoring system based on Internet of things
CN205247189U (en) Wisdom farming system based on thing networking
CN114545833B (en) Intelligent interactive processing system of facility agriculture based on internet of things
US20220330468A1 (en) System and methods for gathering data relating to crops and for managing crop growing operations
CN109711272A (en) Crops intelligent management method, system, electronic equipment and storage medium
CN112258329A (en) Geographic information management system for mountain agricultural planting park
CN106444929A (en) Crop planting monitoring system
CN109832246A (en) A kind of plant protection drone aggregation of data acquisition system based on Beidou navigation

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
TA01 Transfer of patent application right
TA01 Transfer of patent application right

Effective date of registration: 20230413

Address after: 518055 Building A, Building 1, Shenzhen International Innovation Valley, Dashi 1st Road, Xili Community, Xili Street, Nanshan District, Shenzhen City, Guangdong Province, China 2402

Applicant after: Shenzhen Fengnong Shuzhi Agricultural Technology Co.,Ltd.

Address before: 510000 self made room 4a03, 4th floor, building 2, compound, No. 139, Dashadi West Road, Huangpu District, Guangzhou, Guangdong Province (office only)

Applicant before: Tengshengfu (Guangzhou) Agricultural Technology Co.,Ltd.

GR01 Patent grant
GR01 Patent grant