CN114545833B - Intelligent interactive processing system of facility agriculture based on internet of things - Google Patents

Intelligent interactive processing system of facility agriculture based on internet of things Download PDF

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CN114545833B
CN114545833B CN202210199597.1A CN202210199597A CN114545833B CN 114545833 B CN114545833 B CN 114545833B CN 202210199597 A CN202210199597 A CN 202210199597A CN 114545833 B CN114545833 B CN 114545833B
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equipment
information
agricultural
strategy
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CN114545833A (en
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张杨芳
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Shenzhen Fengnong Shuzhi Agricultural Technology Co ltd
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Shenzhen Fengnong Shuzhi Agricultural Technology Co ltd
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    • 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

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  • Automation & Control Theory (AREA)
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Abstract

The invention provides a facility agriculture intelligent interactive processing system based on the technology of the Internet of things, which comprises the following steps: the data acquisition module is used for acquiring various agricultural parameters of the infrastructure agricultural facilities based on the internet of things technology; 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 invention relates to a human-computer interaction module, which is used for sending an agricultural strategy to a user, and acquiring and executing an intervention instruction of the user.

Description

Intelligent interactive processing system of facility agriculture based on internet of things
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 internet of things technology.
Background
With the progress of technology, agricultural automation and agricultural intellectualization gradually become the main melody of the present agricultural development, in recent years, most of agricultural production is changed from mainly relying on manpower and animal power to mainly relying on various agricultural automation equipment, however, when users use various agricultural automation equipment to carry out agricultural production, each agricultural automation equipment mainly depends on subjective consciousness of the users to carry out agricultural production, each time depends on subjective consciousness of the users to carry out agricultural production, users are required to judge the current agricultural environment, then corresponding agricultural automation equipment is adopted to carry out agricultural production, the energy of the users is wasted greatly, meanwhile, the coordination and management of each agricultural automation equipment also occupy the time of the users greatly when the users depend on the subjective consciousness of the users to carry out agricultural production, therefore, a facility intelligent interactive processing system based on the Internet of things technology is needed to solve the problems that each time depends on the subjective consciousness of the users to carry out agricultural production, each time of the users is required to carry out agricultural production on the current agricultural environment, and then the corresponding agricultural automation equipment is adopted to carry out agricultural production, and the great energy of the users is wasted greatly and the time of the users depends on the subjective consciousness of the users to take up the time of the users.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a facility agriculture intelligent interaction processing system based on the Internet of things technology, which is used for solving the problems that a user is required to judge the current agricultural environment each time the facility agriculture intelligent interaction processing system is put into production by depending on the subjective consciousness of the user, and then corresponding agricultural automation equipment is adopted to put into agricultural production, so that the energy of the user is wasted greatly, and the coordination and management of each agricultural automation equipment occupy the time of the user greatly when the facility agriculture intelligent interaction processing system is put into production by depending on the subjective consciousness of the user.
A facility agriculture intelligent interactive processing system based on the technology of the Internet of things comprises:
the data acquisition module is used for acquiring various agricultural parameters of the infrastructure agricultural facilities based on the internet of things technology;
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, the 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 single crop images, similar crop images, 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 subunit is used for acquiring single crop images in the infrastructure agriculture facility; the single crop image is a single plant image of any plant;
the aerial flap unit is used for collecting similar crop images in the infrastructure agriculture facility; wherein the similar crop images are all images of any type of plant in the infrastructure agricultural facility;
the soil nutrient detection subunit is used for collecting soil nutrient information in the infrastructure agriculture facility;
and the soil humidity detection subunit is used for collecting the soil humidity in the infrastructure agriculture facility.
As an embodiment of the present invention, the 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 corresponding agricultural strategies 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 executing module.
As an embodiment of the present invention, the parameter processing unit is configured to formulate a corresponding agricultural policy according to various agricultural parameters based on a preset database, and specifically includes:
Acquiring single crop images in various agricultural parameters, and judging the crop types of the single crop images by a parameter processing unit based on a preset database;
judging whether the single crop image has a disease and pest phenomenon or not according to the crop type and the single crop image based on a preset database;
if the similar crop images corresponding to the single crop images in various agricultural parameters exist, first coordinate information of the similar crop images is determined according to preset positioning marks around the similar crop images; meanwhile, based on a preset database, acquiring first drug information and a first sowing strategy corresponding to the disease and pest phenomena;
formulating a first agricultural strategy according to the first coordinate information, the first drug information and the first sowing strategy;
acquiring soil nutrient information corresponding to planting lands in the similar crop images in various agricultural parameters, and judging whether the soil nutrient information accords with the nutritional requirements of the crop types corresponding to the similar crop images based on a preset database;
if the nutrient information is not in accordance with the nutrient information, acquiring second drug information and a second sowing strategy corresponding to the nutrient information which is missing in the soil nutrient information based on a preset database;
formulating a second agricultural strategy according to the first coordinate information, the second drug information and the second sowing strategy;
Acquiring soil humidity information corresponding to planting lands in the similar crop images in various agricultural parameters, and judging whether the soil humidity information accords with the moisture requirement of the crop type corresponding to the similar crop images based on a preset database; wherein the moisture demand includes a soil overdry demand and a soil overdry demand;
if the moisture information is not met, acquiring third drug information and a third sowing strategy corresponding to the moisture information which is missing in the soil humidity information based on a preset database;
and formulating a third agricultural strategy according to the first coordinate information, the third drug information and the third sowing strategy.
As one embodiment of the present invention, the policy enforcement module includes:
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 strategy to obtain a corresponding execution strategy and outputting the execution strategy to the strategy execution unit;
and the policy execution unit is used for selecting corresponding equipment to execute corresponding operation according to the execution policy.
As an embodiment of the present invention, a policy analysis unit is configured to analyze an agricultural policy to obtain a corresponding execution policy, and output the execution policy to a policy execution unit, and specifically includes:
Acquiring drug information in an agricultural strategy, and analyzing and obtaining a first equipment requirement corresponding to the drug information based on a preset database;
acquiring a sowing strategy in the agricultural strategy, and analyzing and obtaining a second equipment requirement corresponding to the sowing strategy based on a preset database;
screening to obtain equipment information meeting the requirements of the first equipment and the second equipment simultaneously based on a preset database;
coordinate information in an agricultural strategy is acquired, and a specific action route for executing the strategy is obtained through analysis by combining an infrastructure remote sensing image in a preset database and other specific action routes and equipment information which are in use;
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 present invention, the man-machine interaction module performs operations including:
receiving an agricultural strategy sent by a data processing module;
based on a preset communication mode, the agricultural strategy is sent to a user for display;
based on a preset communication mode, receiving a preset intervention instruction sent by a user;
and performing corresponding intervention on the behavior of the strategy execution module according to the intervention instruction.
According to one embodiment of the invention, based on a preset database, device information which meets the first device requirement and the second device requirement simultaneously is obtained through screening, and the method specifically comprises the following steps:
acquiring device information of all devices capable of executing the strategy in a preset database, and constructing a device information set; wherein each device can simultaneously meet a plurality of first device requirements and a plurality of second device requirements;
performing first screening on the equipment information set 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 screening equipment information set;
screening the first screening equipment information set for the second time 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 equipment information exists in the second screening equipment information set;
if the information does not exist, the demand information is sent to the user;
if so, judging whether only one piece of equipment information exists in the second screening equipment information set;
if yes, acquiring the equipment information as equipment information which meets the requirements of the first equipment and the second equipment at the same time;
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 broadcasting strategy;
Based on the historical use information of each piece of equipment information, removing the equipment information of which the last loaded medicine information in the second screening equipment information set is inconsistent with the first equipment requirement, and obtaining a third screening equipment information set;
judging whether the third screening device information set has device information or not;
if the first screening device information set does not exist, randomly selecting any piece of device information in the first screening device information set as device information which meets the first device requirement and the second device requirement at the same time;
if so, judging whether only one piece of equipment information exists in the third screening equipment information set;
if yes, acquiring the equipment information as equipment information which meets the requirements of the first equipment and the second equipment at the same time;
if not, removing the device information of which the last executed broadcasting strategy in the third screening device information set is inconsistent with the second device requirement based on the historical use information of each device information to obtain a fourth screening device information set;
judging whether the fourth screening device information set has device information or not;
if the first screening device information set does not exist, randomly selecting any device information in the first screening device information set as device information which meets the first device requirement and the second device requirement at the same time;
If so, judging whether only one piece of equipment information exists in the fourth screening equipment information set;
if yes, acquiring the equipment information as equipment information which meets the requirements of the first equipment and the second equipment at the same time;
if not, based on the historical use information of each piece of equipment information, acquiring the equipment information with the earliest last use time of the fourth screening equipment information set equipment as the equipment information which meets the requirements of the first equipment and the second equipment simultaneously.
As an embodiment of the present invention, coordinate information in an agricultural policy is obtained, and a specific action route for executing the present policy is obtained by analyzing in combination with remote sensing images of an infrastructure agricultural facility in a preset database, other specific action routes being used and equipment information, which specifically includes:
acquiring remote sensing images of the basic agricultural facilities in a preset database, and analyzing the road conditions of the planting areas of the basic agricultural facilities based on the remote sensing images; the road conditions include: the road between every two planting areas and the high-altitude obstacle position in the planting areas;
constructing an agricultural road network based on roads between every two planting areas; dividing the road between every two planting areas into a plurality of action roads according to the passing width of preset equipment, wherein an agricultural road network takes each action road as a road section and takes an intersection of every two action roads as a node;
Acquiring equipment information, and determining a travel mode of equipment according to the equipment information; the travel mode comprises flying and moving on the ground;
acquiring specific action routes 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 travel mode of the equipment;
if the travel mode is ground movement;
coordinate information in an agricultural strategy is acquired, and the shortest action path is obtained based on an agricultural road network through analysis;
judging whether the equipment corresponding to the second specific action route and the equipment corresponding to the shortest action route have intersection points at any same time point or not 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 route;
if so, the shortest action path is adjusted based on the agricultural road network until the equipment corresponding to the second specific action path and the equipment corresponding to the shortest action path have no intersection point at any same time point, and the specific action path executed by the strategy is obtained; the method for adjusting the shortest action path comprises the following steps: adjusting travel time and any one or more of action roads in the intersecting process;
If the travel mode is flight;
coordinate information in an agricultural strategy is acquired, and the shortest flight path is obtained through analysis 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 route have intersection points at any same time point or not 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 route;
if so, 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 and the equipment corresponding to the shortest flight path have no intersection point at any same time point, so as to obtain the specific action path executed by the strategy; the method for adjusting the shortest flight path comprises the following steps: any one or more of travel time adjustment and fly height adjustment during intersection are combined.
The beneficial effects of the invention are as follows:
the invention can be used for solving the problems that the user is required to judge the current agricultural environment each time the production is carried out by relying on the subjective consciousness of the user, and then the corresponding agricultural automation equipment is adopted to carry out the agricultural production, so that the energy of the user is wasted greatly, and the coordination and management of each agricultural automation equipment occupy the time of the user greatly when the production is carried out by relying on the subjective consciousness 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 may be realized and attained by the structure particularly pointed out in the written description and drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a schematic diagram of a facility agriculture intelligent interaction processing system based on the technology of the Internet of things in an embodiment of the invention;
fig. 2 is a schematic diagram of a data acquisition module in a facility agriculture intelligent interaction processing system based on the internet of things technology in an embodiment of the invention;
fig. 3 is a schematic diagram of a data processing module in a facility agriculture intelligent interactive processing system based on the internet of things technology in an embodiment of the invention;
fig. 4 is a schematic diagram of a policy execution module in a facility agriculture intelligent interaction processing system based on the internet of things technology in an embodiment of the invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
Referring to fig. 1, an embodiment of the present invention provides a facility agriculture intelligent interaction processing system based on the technology of internet of things, including:
the data acquisition module 1 is used for acquiring various agricultural parameters of the infrastructure agricultural facility based on the internet of things technology;
the data processing module 2 is used for formulating an agricultural strategy according to agricultural parameters;
the strategy execution module 3 is used for executing corresponding operation according to the received agricultural strategy;
the man-machine interaction module 4 is used for sending the agricultural strategy to the user and acquiring and executing the 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 an underlying agricultural facility based on the Internet of things technology, wherein the underlying agricultural facility preferably refers to a planting area involved in agricultural production, the data acquisition module 1 comprises a plurality of 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, the purpose of rapid and accurate data acquisition is realized, various agricultural parameters in the underlying agricultural facility are monitored, the accuracy of data acquisition is improved, the timeliness of data acquisition is guaranteed, the data processing module 2 is mainly used for formulating an agricultural strategy based on a preset database according to the agricultural parameters, the preset database preferably adopts a local database after corresponding data are input in advance, the input data comprise but are not limited to crop types, areas, corresponding processing measures and the like in the underlying agricultural facility, the input data are preferably arranged in the geometric center of the underlying agricultural facility, the agricultural parameters transmitted by each device in the data acquisition module 1 are received quickly, meanwhile, the distance of signal transmission can be effectively reduced, and accordingly the cost required by equipment is reduced; the strategy execution module 3 is mainly used for executing corresponding operation according to the received agricultural strategy, wherein the strategy execution module 3 is electrically connected with a plurality of automatic agricultural equipment, controls the automatic agricultural equipment to execute the corresponding strategy in a network connection mode and the like, and meanwhile, the strategy execution module 3 is also electrically connected with various pipeline transmission devices, drug storage devices and the like and is used for sending corresponding instructions to enable the automatic agricultural equipment to infuse drugs and the like in the drug storage devices through the various pipeline transmission devices according to the corresponding agricultural strategy, the 3 modules are mainly used for automatically and intelligently realizing the corresponding agricultural production operation according to various interaction information, and further, a cleaning module is also arranged and connected with the strategy execution module 3 and is mainly used for cleaning and airing a drug storage box or a storage box of the equipment when the automatic agricultural equipment returns; the man-machine interaction module 4 is used for sending the agricultural strategy to the user and acquiring and executing the intervention instruction of the user; the module is mainly used for purposefully changing the agricultural strategy aiming at the personal planting hearts of users;
The beneficial effects of the technical scheme are as follows: through the scheme, the problems that the user is required to judge the current agricultural environment when the production is carried out by relying on the subjective consciousness of the user every time, then the corresponding agricultural automation equipment is adopted to carry out the agricultural production, the energy of the user is wasted greatly, and the time of the user is occupied greatly by the coordination and management of the agricultural automation equipment when the production is carried out by relying on the subjective consciousness of the user are solved.
Referring to fig. 2, in one embodiment, the data acquisition module 1 includes:
an information acquisition unit 10 provided in the infrastructure agricultural facility for acquiring various agricultural parameters in the infrastructure agricultural facility; the agricultural parameters comprise any one of single crop images, similar crop images, soil nutrient information and soil humidity;
the information acquisition unit 10 includes:
a camera sub-unit 101 for capturing images of individual crops within an infrastructure agricultural facility; the single crop image is a single plant image of any plant;
aerial flap unit 102 for acquiring images of like crops within the infrastructure agricultural facility; wherein the similar crop images are all images of any type of plant in the infrastructure agricultural facility;
A soil nutrient detection subunit 103 for collecting soil nutrient information within the infrastructure agricultural facility;
a soil moisture detection subunit 104 for collecting soil moisture within the infrastructure agricultural facility;
an information sending unit 11, configured to send various agricultural parameters to the data processing module based on a preset communication mode;
the working principle and beneficial effects of the technical scheme are as follows: an information acquisition unit 10, provided in the infrastructure agriculture facility, for acquiring various agricultural parameters in the infrastructure agriculture facility, wherein the agricultural parameters include any one of a single crop image, a similar crop image, soil nutrient information, and soil humidity; further, the information acquisition unit 10 includes: a camera sub-unit 101 for capturing images of individual crops within an infrastructure agricultural facility; the single crop image is a single plant image of any plant; for example, one or more fixed cameras are arranged in the basic agricultural facility for acquiring single crop images in the basic agricultural facility; aerial flap unit 102 for acquiring images of like crops within the infrastructure agricultural facility; wherein the similar crop images are all images of any type of plant in the infrastructure agricultural facility; for example, a form of unmanned aerial vehicle shooting is adopted to acquire the planting coordinates of any crop in a preset database, so that all similar crop images in the planting coordinates are acquired; a soil nutrient detection subunit 103 for collecting soil nutrient information within the infrastructure agricultural facility; for example, one or more soil nutrient analyzers are laid in advance in the soil in the infrastructure agriculture, and soil nutrient information in the infrastructure agriculture is collected through the soil nutrient analyzers; a soil moisture detection subunit 104 for collecting soil moisture within the infrastructure agricultural facility; for example, one or more humidity sensors are laid in advance in the soil in the infrastructure for acquiring the humidity of the soil in the infrastructure; further, more automated agricultural equipment and more data acquisition devices can be added, so that a larger range of information acquisition is realized for subsequent policy execution; the information sending unit 11 is configured to send various agricultural parameters to the data processing module based on a preset communication mode, where the preset communication mode includes any one of wired transmission and wireless transmission, and is beneficial to adapt to various planting environments.
Referring to fig. 3, in one embodiment, the data processing module 2 includes:
a parameter obtaining unit 20, configured to obtain various agricultural parameters sent by the data acquisition module 1 based on a preset communication mode;
a parameter processing unit 21, configured to formulate a corresponding agricultural policy according to various agricultural parameters based on a preset database;
a policy sending unit 22 for sending the agricultural policy to the policy enforcement module;
the parameter processing unit 21 is configured to formulate a corresponding agricultural policy according to various agricultural parameters based on a preset database, and specifically includes:
acquiring single crop images in various agricultural parameters, and judging the crop types of the single crop images by a parameter processing unit based on a preset database;
judging whether the single crop image has a disease and pest phenomenon or not according to the crop type and the single crop image based on a preset database;
if the similar crop images corresponding to the single crop images in various agricultural parameters exist, first coordinate information of the similar crop images is determined according to preset positioning marks around the similar crop images; meanwhile, based on a preset database, acquiring first drug information and a first sowing strategy corresponding to the disease and pest phenomena;
Formulating a first agricultural strategy according to the first coordinate information, the first drug information and the first sowing strategy;
acquiring soil nutrient information corresponding to planting lands in the similar crop images in various agricultural parameters, and judging whether the soil nutrient information accords with the nutritional requirements of the crop types corresponding to the similar crop images based on a preset database;
if the nutrient information is not in accordance with the nutrient information, acquiring second drug information and a second sowing strategy corresponding to the nutrient information which is missing in the soil nutrient information based on a preset database;
formulating a second agricultural strategy according to the first coordinate information, the second drug information and the second sowing strategy;
acquiring soil humidity information corresponding to planting lands in the similar crop images in various agricultural parameters, and judging whether the soil humidity information accords with the moisture requirement of the crop type corresponding to the similar crop images based on a preset database; wherein the moisture demand includes a soil overdry demand and a soil overdry demand;
if the moisture information is not met, acquiring third drug information and a third sowing strategy corresponding to the moisture information which is missing in the soil humidity information based on a preset database;
according to the first coordinate information, the third drug information and the third sowing strategy, a third agricultural strategy is formulated;
The working principle of the technical scheme is as follows: the parameter obtaining unit 20 obtains various agricultural parameters sent by the data collecting module based on a preset communication mode, classifies the various agricultural parameters based on a preset classification rule, wherein the preset classification rule is preferably that agricultural data transmitted from the same crop planting area are classified, the various agricultural parameters are classified and then sent to the parameter processing unit 21, and the parameter processing unit 21 formulates corresponding agricultural strategies based on a preset database according to the various agricultural parameters, specifically: the method comprises the steps of obtaining single crop images in various agricultural parameters, judging crop types of the single crop images by a parameter processing unit based on a preset database, wherein the judging method is that characteristic information of the single crop images is preferably compared with characteristic information stored in the preset database, so that crop types corresponding to the single crop images are obtained; judging whether the single crop image has a disease and pest 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 the results are obtained through a characteristic information comparison mode; if the similar crop images corresponding to the single crop images in various agricultural parameters exist, first coordinate information of the similar crop images is determined according to preset positioning marks around the similar crop images; meanwhile, based on a preset database, acquiring first drug information and a first sowing strategy corresponding to the disease and pest phenomena; preferably, positioning marks are buried around each identical 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 drug information and the first sowing strategy; acquiring soil nutrient information corresponding to planting lands in the similar crop images in various agricultural parameters, and judging whether the soil nutrient information accords with the nutritional requirements of the crop types corresponding to the similar crop images based on a preset database; preferably, if the soil nutrient analyzers embedded 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 detection maximum range of each soil nutrient analyzer, and modifying the first coordinates into coordinates corresponding to the small planting areas, wherein the sources of the coordinates are preferably determined according to the area of the planting area in a preset database, the coordinates of the embedded soil nutrient analyzers and the coordinate information of the total planting land area; if the nutrient information is not in accordance with the nutrient information, acquiring second drug information and a second sowing strategy corresponding to the nutrient information which is missing in the soil nutrient information based on a preset database; formulating a second agricultural strategy according to the first coordinate information, the second drug information and the second sowing strategy; acquiring soil humidity information corresponding to planting lands in the similar crop images in various agricultural parameters, and judging whether the soil humidity information accords with the moisture requirement of the crop type corresponding to the similar crop images based on a preset database; wherein the moisture demand includes a soil overdry demand and a soil overdry demand; if the moisture information is not met, acquiring third drug information and a third sowing strategy corresponding to the moisture information which is missing in the soil humidity information based on a preset database; if the land is overdry, namely the water loss component in the missing moisture information is negative, the corresponding third drug information is preferably water-absorbing materials such as quicklime and the like, and meanwhile, the data processing module can correspondingly adjust the drug information according to the type of crops to prevent the phenomenon of inadaptation of the crops; according to the first coordinate information, the third drug information and the third sowing strategy, a third agricultural strategy is formulated; a policy sending unit 22 for sending the agricultural policy to the policy enforcement module;
The beneficial effects of the technical scheme are as follows: the corresponding agricultural strategy is formulated intelligently according to the corresponding agricultural parameters automatically, and the user is required to judge the current agricultural environment when the agricultural environment is put into production without depending on the subjective consciousness of the user, so that the energy consumption of the user is reduced, and the intelligence of the agricultural equipment is improved.
Referring to fig. 4, in one embodiment, the policy enforcement module 3 includes:
a policy obtaining unit 30, configured to obtain the agricultural policy sent by the data processing module 2;
a policy analysis unit 31, configured to analyze the agricultural policy to obtain a corresponding execution policy, and output the execution policy to a policy execution unit 32;
a policy execution unit 32, configured to select a corresponding device 5 to execute a corresponding operation according to an execution policy;
the policy analysis unit 31 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 and obtaining a first equipment requirement corresponding to the drug information based on a preset database;
acquiring a sowing strategy in the agricultural strategy, and analyzing and obtaining a second equipment requirement corresponding to the sowing strategy based on a preset database;
Screening to obtain equipment information meeting the requirements of the first equipment and the second equipment simultaneously based on a preset database;
coordinate information in an agricultural strategy is acquired, and a specific action route for executing the strategy is obtained through analysis by combining an infrastructure remote sensing image in a preset database and other specific action routes and equipment information which are in use;
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 32;
the working principle of the technical scheme is as follows: the policy execution module 3 may be located in the same terminal as the data processing module 2, or may be separately set, where the policy obtaining unit 30 is configured to obtain the agricultural policy sent by the data processing module 2, and if separately set, the communication mode may be any wired or wireless communication mode, and the policy analysis unit 31 is configured to analyze the agricultural policy to obtain a corresponding execution policy, and output the execution policy to the policy execution unit 32, and specifically includes: step 1: acquiring drug information in an agricultural strategy, and analyzing and obtaining a first equipment requirement corresponding to the drug information based on a preset database; for example, when the medicine storage boxes of some automatic agricultural equipment are too few and the medicine information types are too many and cannot be mixed, the number of the medicine storage boxes of the automatic agricultural equipment becomes a first equipment requirement corresponding to the medicine information; acquiring a sowing strategy in the agricultural strategy, and analyzing and obtaining a second equipment requirement corresponding to the sowing strategy based on a preset database; for example, some medications need to be scattered aloft, some medications need to be scattered on the roots, etc., which creates a second equipment requirement; furthermore, in order to enable the accuracy of the selected device to be improved, more device requirements can be screened for subsequent screening, and based on a preset database, device information meeting the first device requirement and the second device requirement is screened, namely, device information meeting the first device requirement and the second device requirement is screened from the existing device information to be used in the preset database; coordinate information in an agricultural strategy is acquired, and a specific action route for executing the strategy is obtained through analysis by combining an infrastructure remote sensing image in a preset database and other specific action routes and equipment information which are in use; 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 32; a policy execution unit 32, configured to select a corresponding device 5 to execute a corresponding operation according to an execution policy;
The beneficial effects of the technical scheme are as follows: through the strategy execution module, the agricultural automation equipment is automatically managed and coordinated, and meanwhile, through the strategy analysis unit, a corresponding execution strategy is accurately formulated for controlling the agricultural automation equipment to perform corresponding operation, so that the agricultural production efficiency is improved, meanwhile, the intelligent and automatic agricultural production is realized, and the occupation rate of the automatic agricultural production to the time of a user can be effectively reduced.
In one embodiment, the human-machine interaction module 4 performs operations comprising:
receiving an agricultural strategy sent by the data processing module 2;
based on a preset communication mode, the agricultural strategy is sent to a user for display;
based on a preset communication mode, receiving a preset intervention instruction sent by a user;
performing corresponding intervention on the behavior of the strategy execution module according to the intervention instruction;
the working principle and beneficial effects of the technical scheme are as follows: receiving an agricultural strategy sent by the data processing module 2; based on a preset communication mode, the agricultural strategy is sent to a user for display; based on a preset communication mode, receiving a preset intervention instruction sent by a user; performing corresponding intervention on the behavior of the strategy execution module according to the intervention instruction; furthermore, each intervention instruction is analyzed in a behavior mode, the broadcasting strategy and the drug information in the preset database are modified according to the intervention instruction, the module is used for pertinently changing the agricultural strategy aiming at the individual planting hearts of users, the interactivity of the system is improved, meanwhile, the deviation of the planting hearts of the users is obtained by analyzing the intervention instruction of the users, and the system is more fit for different users.
In one embodiment, based on a preset database, screening to obtain device information meeting the first device requirement and the second device requirement simultaneously specifically includes:
acquiring device information of all devices capable of executing the strategy in a preset database, and constructing a device information set; wherein each device can simultaneously meet a plurality of first device requirements and a plurality of second device requirements;
performing first screening on the equipment information set 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 screening equipment information set;
screening the first screening equipment information set for the second time 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 equipment information exists in the second screening equipment information set;
if the information does not exist, the demand information is sent to the user;
if so, judging whether only one piece of equipment information exists in the second screening equipment information set;
if yes, acquiring the equipment information as equipment information which meets the requirements of the first equipment and the second equipment at the same time;
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 broadcasting strategy;
Based on the historical use information of each piece of equipment information, removing the equipment information of which the last loaded medicine information in the second screening equipment information set is inconsistent with the first equipment requirement, and obtaining a third screening equipment information set;
judging whether the third screening device information set has device information or not;
if the first screening device information set does not exist, randomly selecting any piece of device information in the first screening device information set as device information which meets the first device requirement and the second device requirement at the same time;
if so, judging whether only one piece of equipment information exists in the third screening equipment information set;
if yes, acquiring the equipment information as equipment information which meets the requirements of the first equipment and the second equipment at the same time;
if not, removing the device information of which the last executed broadcasting strategy in the third screening device information set is inconsistent with the second device requirement based on the historical use information of each device information to obtain a fourth screening device information set;
judging whether the fourth screening device information set has device information or not;
if the first screening device information set does not exist, randomly selecting any device information in the first screening device information set as device information which meets the first device requirement and the second device requirement at the same time;
If so, judging whether only one piece of equipment information exists in the fourth screening equipment information set;
if yes, acquiring the equipment information as equipment information which meets the requirements of the first equipment and the second equipment at the same time;
if not, based on the historical use information of each piece of equipment information, acquiring the equipment information with the earliest last use time of the fourth screening equipment information set equipment as the equipment information which meets the requirements of the first equipment and the second equipment simultaneously;
the working principle of the technical scheme is as follows: in practical situations, when the cost is reduced, and the number of automated agricultural equipment arranged in the infrastructure is small, the same automated equipment can work repeatedly and continuously when equipment information is selected randomly, so that the service life of the automated equipment is reduced, and the number of automated agricultural equipment is small, so that the cleaning module can improve the cleaning efficiency by reducing the cleaning cleanliness when cleaning the automated equipment for realizing continuous work, medicine residues exist in a medicine storage box and a medicine delivery pipe of the automated equipment, and the situation that medicine conflicts or medicine effects are reduced possibly exists when a follow-up strategy execution module controls the automated equipment to perform other medicine storage and sowing strategies can be effectively solved by the following scheme: based on a preset database, screening to obtain equipment information meeting the requirements of the first equipment and the second equipment at the same time, wherein the equipment information comprises the following specific steps: acquiring device information of all devices capable of executing the strategy in a preset database, and constructing a device information set; wherein each device can simultaneously meet a plurality of first device requirements and a plurality of second device requirements; performing first screening on the equipment information set 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 screening equipment information set; screening the first screening equipment information set for the second time 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 only one piece of equipment information exists in the second screening equipment information set; further, if no equipment information exists in the second screening equipment information set, sending demand information to the user, and simultaneously temporarily placing the task on hold for waiting for indication of the user intervention instruction; if yes, acquiring the equipment information as equipment information which meets the requirements of the first equipment and the second equipment at the same time; 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 broadcasting 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 of which the last loaded medicine information in the second screening equipment information set is inconsistent with the first equipment requirement, and obtaining a third screening equipment information set; judging whether only one piece of equipment information exists in the third screening equipment information set; if yes, acquiring the equipment information as equipment information which meets the requirements of the first equipment and the second equipment at the same time; if not, removing the device information of which the last executed broadcasting strategy in the third screening device information set is inconsistent with the second device requirement based on the historical use information of each device information to obtain a fourth screening device information set; further, if any one 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 is used as the equipment information meeting the requirements of the first equipment and the second equipment at the same time; judging whether only one piece of equipment information exists in the fourth screening equipment information set; if yes, acquiring the equipment information as equipment information which meets the requirements of the first equipment and the second equipment at the same time; if not, based on the historical use information of each piece of equipment information, acquiring the equipment information with the earliest last use time of the fourth screening equipment information set equipment as the equipment information which meets the requirements of the first equipment and the second equipment simultaneously; further, if the fourth screening device information set does not have any device information, randomly screening any device information in the third screening device information set as the device information which is used as the device information meeting the first device requirement and the second device requirement at the same time;
The beneficial effects of the technical scheme are as follows: when the automatic agricultural equipment arranged in the basic agricultural facility is fewer, the same automatic equipment can work repeatedly and continuously at random when equipment information is selected, so that the service life of the automatic equipment is reduced, when the automatic agricultural equipment is fewer, the cleaning module can improve the cleaning efficiency by reducing the cleaning cleanliness when the automatic equipment is cleaned for realizing continuous work, so that medicine residues exist in a medicine storage box and a medicine delivery pipe of the automatic equipment, and when the follow-up strategy execution module controls the automatic equipment to perform other medicine storage and sowing strategies, medicine conflicts or medicine effect reduction can exist, so that the production efficiency of the automatic agricultural equipment is reduced; the intelligent coordination mode realized by associating the historical use information of each piece of equipment information, the first equipment requirement and the second equipment requirement is beneficial to prolonging the service life of the automatic agricultural equipment and improving the production efficiency of the automatic agricultural equipment.
In one embodiment, coordinate information in an agricultural strategy is acquired, and a specific action route for executing the strategy is obtained by analyzing in combination with an infrastructure remote sensing image, other specific action routes in use and equipment information in a preset database, wherein the specific action route specifically comprises the following steps:
Acquiring remote sensing images of the basic agricultural facilities in a preset database, and analyzing the road conditions of the planting areas of the basic agricultural facilities based on the remote sensing images; the road conditions include: the road between every two planting areas and the high-altitude obstacle position in the planting areas;
constructing an agricultural road network based on roads between every two planting areas; dividing the road between every two planting areas into a plurality of action roads according to the passing width of preset equipment, wherein an agricultural road network takes each action road as a road section and takes an intersection of every two action roads as a node;
acquiring equipment information, and determining a travel mode of equipment according to the equipment information; the travel mode comprises flying and moving on the ground;
acquiring specific action routes 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 travel mode of the equipment;
if the travel mode is ground movement;
coordinate information in an agricultural strategy is acquired, and the shortest action path is obtained based on an agricultural road network through analysis;
Judging whether the equipment corresponding to the second specific action route and the equipment corresponding to the shortest action route have intersection points at any same time point or not 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 route;
if so, the shortest action path is adjusted based on the agricultural road network until the equipment corresponding to the second specific action path and the equipment corresponding to the shortest action path have no intersection point at any same time point, and the specific action path executed by the strategy is obtained; the method for adjusting the shortest action path comprises the following steps: adjusting travel time and any one or more of action roads in the intersecting process;
if the travel mode is flight;
coordinate information in an agricultural strategy is acquired, and the shortest flight path is obtained through analysis 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 route have intersection points at any same time point or not 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 route;
If so, 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 and the equipment corresponding to the shortest flight path have no intersection point at any same time point, so as to obtain the specific action path executed by the strategy; the method for adjusting the shortest flight path comprises the following steps: any one or more of travel time adjustment and flying height adjustment during intersection are combined;
the working principle of the technical scheme is as follows: in practical situations, when the automatic agricultural equipment executes the agricultural strategy, the strategy is usually executed according to the set action route, and when the automatic agricultural equipment is excessive in the infrastructure agricultural equipment, the action route is directly distributed according to the shortest routeTwo or even more automatic agricultural equipment can collide to generate loss, and the automatic agricultural equipment has a flight action path when executing a strategy, if a high-precision intelligent avoidance system is arranged in the automatic agricultural equipment, the cost of each automatic agricultural equipment can be increased; the specific technical scheme is as follows: acquiring remote sensing images of the basic agricultural facilities in a preset database, and analyzing the road conditions of the planting areas of the basic agricultural facilities based on the remote sensing images; the road conditions include: the road between every two planting areas and the high-altitude obstacle position in the planting areas; constructing an agricultural road network based on roads between every two planting areas; the method comprises the steps of dividing a road between two planting areas into a plurality of action roads according to a preset equipment passing width in an agricultural road network, wherein each action road is used as a road section in the agricultural road network, and an intersection of every two action roads is used as a node; acquiring equipment information, and determining a travel mode of equipment according to the equipment information; the travel mode comprises flying and moving on the ground; furthermore, with the new increase of the equipment, the travel mode also comprises underground transportation; acquiring specific action routes 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; the current action progress comprises a predicted current action position and a predicted current action condition, wherein the predicted method is obtained by simulation analysis before equipment starts; 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 an agricultural strategy is acquired, and the shortest action path is obtained based on an agricultural road network through analysis; based on the current action progress of the device corresponding to the second specific action route and the predicted action progress of the device corresponding to the shortest action route, judging whether the equipment corresponding to the second specific action route is in short-circuit with the shortest action The equipment corresponding to the diameter has an intersection point at any same time point; if so, the shortest action path is adjusted based on the agricultural road network until the equipment corresponding to the second specific action path and the equipment corresponding to the shortest action path have no intersection point at any same time point, and the specific action path executed by the strategy is obtained; the method for adjusting the shortest action path comprises the following steps: adjusting travel time and any one or more of action roads in the intersecting process; 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 as follows:
Figure BDA0003528773580000241
wherein Z is t The time impedance is represented by b, the traveling mode is ground movement, the proportion of the equipment which is executing the strategy passes through the node is represented by M, the shortest time of the current equipment reaching the intersection point is represented by c, the saturation of the node when the current equipment reaches the node is represented by v, the average speed of the current equipment is represented by M, and the distance required by the current equipment to reach the intersection point is represented by M; if the travel mode is flight; coordinate information in an agricultural strategy is acquired, and the shortest flight path is obtained through analysis 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 route have intersection points at any same time point or not 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 route; if so, 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 and the equipment corresponding to the shortest flight path have no intersection point at any same time point, so as to obtain the specific action path executed by the strategy; wherein the method for adjusting the shortest flight path comprises : any one or more of travel time adjustment and flying height adjustment during intersection are combined; preferably, in the process of automatic management, personnel are not allowed to walk at will or objects are not allowed to fly at will in the infrastructure, and a special situation is met, and a user can send out or temporarily close the system through an intervention strategy of the man-machine interaction module 4;
the beneficial effects of the technical scheme are as follows: the method has the advantages that the cost of each automatic agricultural equipment is not increased, meanwhile, the specific action routes of all the automatic agricultural equipment are intelligently planned, so that the automatic agricultural equipment cannot be damaged in user property due to collision danger when the strategy is executed, and the method is beneficial to improving the intelligent level of the interaction of the automatic agricultural equipment.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.

Claims (7)

1. The utility agriculture intelligent interactive processing system based on the internet of things technology is characterized by comprising: the data acquisition module is used for acquiring various agricultural parameters of the infrastructure agricultural facilities based on the internet of things technology;
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 man-machine interaction module is used for sending the agricultural strategy to a user and acquiring and executing an intervention instruction of the user;
the policy enforcement module includes:
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 strategy to obtain a corresponding execution strategy and outputting the execution strategy to the strategy execution unit;
the strategy execution unit is used for selecting corresponding equipment to execute corresponding operation according to the execution strategy;
the policy analysis unit is configured to analyze the agricultural policy to obtain a corresponding execution policy, and output the execution policy to a policy execution unit, and specifically includes:
acquiring drug information in the agricultural strategy, and analyzing and obtaining a first equipment requirement corresponding to the drug information based on a preset database;
acquiring a sowing strategy in the agricultural strategy, and analyzing and obtaining a second equipment requirement corresponding to the sowing strategy based on a preset database;
Screening to obtain equipment information meeting the first equipment requirement and the second equipment requirement simultaneously 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 remote sensing image, other specific action routes in use and the equipment information in a preset database;
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;
based on a preset database, screening to obtain the equipment information which meets the first equipment requirement and the second equipment requirement simultaneously, wherein the method specifically comprises the following steps:
acquiring device information of all devices capable of executing the strategy in a preset database, and constructing a device information set; wherein each device can simultaneously meet a plurality of first device requirements and a plurality of second device requirements;
performing first screening on the equipment information set 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 screening equipment information set;
performing second screening on the first screening device information set based on the second device requirement, and removing devices which do not meet the second device requirement in the device information set to obtain a second screening device information set;
Judging whether equipment information exists in the second screening equipment information set;
if the information does not exist, the demand information is sent to the user;
if so, judging whether only one piece of equipment information exists in the second screening equipment information set;
if yes, acquiring the equipment information as equipment information which meets the first equipment requirement and the second equipment requirement at the same time;
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 broadcasting strategy;
based on the historical use information of each piece of equipment information, removing the equipment information of which the last loaded medicine information in the second screening equipment information set is inconsistent with the first equipment requirement, and obtaining a third screening equipment information set;
judging whether equipment information exists in the third screening equipment information set;
if the first equipment requirement and the second equipment requirement are met, randomly selecting any piece of equipment information in the second screening equipment information set as equipment information which meets the first equipment requirement and the second equipment requirement at the same time;
if so, judging whether only one piece of equipment information exists in the third screening equipment information set;
If yes, acquiring the equipment information as equipment information which meets the first equipment requirement and the second equipment requirement at the same time;
if not, removing the device information of which the last executed broadcasting strategy in the third screening device information set is inconsistent with the second device requirement based on the historical use information of each device information to obtain a fourth screening device information set;
judging whether equipment information exists in the fourth screening equipment information set;
if the first equipment requirement and the second equipment requirement are met, randomly selecting any piece of equipment information in the third screening equipment information set as equipment information which meets the first equipment requirement and the second equipment requirement at the same time;
if so, judging whether only one piece of equipment information exists in the fourth screening equipment information set;
if yes, acquiring the equipment information as equipment information which meets the first equipment requirement and the second equipment requirement at the same time;
and if not, acquiring the device information with the earliest last use time of the fourth screening device information centralized device as the device information which meets the first device requirement and the second device requirement simultaneously based on the historical use information of each device information.
2. The intelligent interactive processing system for facility agriculture based on the technology of the internet of things 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; wherein the agricultural parameters comprise any one of single crop images, similar crop images, 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 facility agriculture based on the technology of internet of things according to claim 2, wherein the information acquisition unit comprises:
the camera shooting subunit is used for acquiring single crop images in the infrastructure agriculture facility; wherein the single crop image is a single plant image of any type of plant;
the aerial flap unit is used for acquiring similar crop images in the infrastructure agriculture facility; wherein the similar crop images are all images of any type of plant in the infrastructure agricultural facility;
a soil nutrient detection subunit for collecting soil nutrient information in the infrastructure agricultural facility;
and the soil humidity detection subunit is used for collecting the soil humidity in the infrastructure agriculture facility.
4. The intelligent interactive processing system for facility agriculture based on the technology of the internet of things according to 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 corresponding agricultural strategies 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 executing module.
5. The intelligent interactive processing system for facility agriculture based on the technology of internet of things according to claim 4, wherein the parameter processing unit is configured to formulate a corresponding agricultural policy according to various agricultural parameters based on a preset database, and specifically comprises:
acquiring single crop images in various agricultural parameters, and judging the crop types of the single crop images by the parameter processing unit based on a preset database;
judging whether the single crop image has a disease and pest phenomenon or not according to the crop type and the single crop image based on a preset database;
if the similar crop images corresponding to the single crop images in the various agricultural parameters exist, determining first coordinate information of the similar crop images according to preset positioning marks around the similar crop images; meanwhile, based on a preset database, acquiring first drug information and a first sowing strategy corresponding to the disease and pest phenomena;
According to the first coordinate information, the first drug information and the first sowing strategy, a first agricultural strategy is formulated;
acquiring soil nutrient information corresponding to planting lands in the similar crop images in various agricultural parameters, and judging whether the soil nutrient information meets the nutritional requirements of the crop types corresponding to the similar crop images or not based on a preset database;
if the nutrient information is not in accordance with the nutrient information, acquiring second drug information and a second sowing strategy corresponding to the nutrient information which is missing in the soil nutrient information based on a preset database;
formulating a second agricultural strategy according to the first coordinate information, the second drug information and the second sowing strategy;
acquiring soil humidity information corresponding to planting lands in the similar crop images in various agricultural parameters, and judging whether the soil humidity information meets the moisture requirement of the crop type corresponding to the similar crop images or not based on a preset database; wherein the moisture demand includes a land overdry demand and a land overdry demand;
if the moisture information is not met, acquiring third drug information and a third scattering strategy corresponding to the moisture information which is missing in the soil humidity information based on a preset database;
And formulating a third agricultural strategy according to the first coordinate information, the third drug information and the third sowing strategy.
6. The intelligent interactive processing system of facility agriculture based on the technology of the internet of things according to claim 1, wherein the man-machine interaction module performs the following operations:
receiving an agricultural strategy sent by the data processing module;
based on a preset communication mode, the agricultural strategy is sent to a user for display;
based on a preset communication mode, receiving a preset intervention instruction sent by a user;
and performing corresponding intervention on the behavior of the strategy execution module according to the intervention instruction.
7. The intelligent interactive processing system for facility agriculture based on the internet of things technology according to claim 1, wherein the obtaining the coordinate information in the agriculture policy, and analyzing the coordinate information in combination with the remote sensing image of the infrastructure agriculture facility, other specific action routes being used and the equipment information in a preset database to obtain a specific action route for executing the present policy, specifically includes:
acquiring remote sensing images of the basic agricultural facilities in a preset database, and analyzing and obtaining the road condition of the planting area of the basic agricultural facilities based on the remote sensing images; wherein, the road condition includes: the road between every two planting areas and the high-altitude obstacle position in the planting areas;
Constructing an agricultural road network based on the road between the two planting areas; dividing the road between the two planting areas into a plurality of action roads according to the passing width of preset equipment, wherein the agricultural road network takes each action road as a road section and takes the intersection of every two action roads as a node;
acquiring the equipment information, and determining the travel mode of the equipment according to the equipment information; the travel mode comprises flying and moving on the ground;
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;
based on the travel mode of the equipment, analyzing and obtaining a specific action route for executing the strategy;
if the travel mode is ground movement;
acquiring coordinate information in the agricultural strategy, and analyzing and obtaining a shortest action path 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 route have intersection points at any same time point or not 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 route;
If so, adjusting the shortest action path based on the agricultural road network until the equipment corresponding to the second specific action path and the equipment corresponding to the shortest action path have no intersection point at any same time point, so as to obtain a specific action path executed by the strategy; the method for adjusting the shortest action path comprises the following steps: adjusting travel time and any one or more of action roads in the intersecting process;
if the travel mode is flight;
acquiring coordinate information in the agricultural strategy, and analyzing to obtain the shortest flight path based on the high-altitude obstacle position in the planting area;
judging whether the equipment corresponding to the second specific action route and the equipment corresponding to the shortest flight route have intersection points at any same time point or not 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 route;
if so, 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 and the equipment corresponding to the shortest flight path have no intersection point at any same time point, so as to obtain the specific action path executed by the strategy; the method for adjusting the shortest flight path comprises the following steps: any one or more of travel time adjustment and fly height adjustment during intersection are combined.
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