CN112000677A - Cluster intelligent generation system based on land use big data and use method thereof - Google Patents
Cluster intelligent generation system based on land use big data and use method thereof Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
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- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/23—Updating
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
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- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2462—Approximate or statistical queries
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q50/02—Agriculture; Fishing; Mining
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
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Abstract
The application discloses a cluster intelligent generation system based on land use big data and a using method thereof. The cluster intelligent generation system and the using method thereof realize large-scale collection of real-time land information parameters of various automatic data collection equipment, and can provide a solid data base for 5G; the invention processes and analyzes the real-time land information parameters of various automatic data acquisition equipment, can determine the real-time state of each land, is transparent, and realizes the technical effect of balancing in agricultural production and commodity circulation.
Description
Technical Field
The application relates to the technical field of land use big data, in particular to a cluster intelligent generation system based on the land use big data and a using method thereof.
Background
At present, the problems of Chinese agriculture are as follows: firstly, land circulation is insufficient and unstable, circulation means and efficiency are low, and crime phenomena damaging benefits of farmers are endless due to the land circulation. Secondly, from the aspect of production and operation, most of the operations are extensive and are carried out by the heaven. Thirdly, the degree of informatization is not high, and modern scientific technology, especially network technology, has less application. Fourthly, the green development degree of agriculture is not high, the yield is increased mainly by chemical fertilizers, and the environmental pollution and the soil hardening are serious. Fifthly, supply and demand information lags, and production and marketing are unbalanced. Sixthly, long-term planning is lacked in land operation, foundation matching measures of land are weak, natural disaster risk resistance is poor, and the like.
Future development of Chinese agriculture: china is wide in breadth, and factors such as regions, landforms, ecological environments, climates and the like of all provinces and cities are different, so that the future agricultural development of China cannot have a uniform mode, but the characteristics of regional chain, large scale, intensification, informatization and green ecology are necessarily presented. The technical scheme is that through the construction of an agricultural comprehensive network platform, rapid information interaction among agricultural production elements and agricultural commodity circulation elements is achieved, agricultural production and product circulation are subjected to intermediation, the processes of regional chain, informatization, scale, intensification and individuation of modern agriculture are promoted, and the problem that the current agricultural production and commodity circulation are unbalanced is one of the problems which need to be solved in the 5G era.
Disclosure of Invention
The embodiment of the application provides a cluster intelligent generation system based on land use big data and a using method thereof, which are used for realizing large-scale collection and analysis of Chinese agricultural land use big data and solving the technical problem of imbalance in current agricultural production and commodity circulation.
The embodiment of the application provides a cluster intelligence generation system based on land use big data, includes: each server corresponds to at least one monitoring terminal; and each data acquisition device corresponds to at least one server.
Wherein, the monitor terminal includes: the data acquisition unit is connected to the numerical control unit of the automatic data acquisition equipment and is used for acquiring at least one real-time land information parameter of the automatic data acquisition equipment; and the data transmission unit is connected to the data acquisition unit and is used for transmitting the real-time land information parameters to a server and acquiring at least one cultivation distribution instruction from the server.
Wherein the server comprises: the server data transmission unit is connected to the data transmission unit through an Ethernet and is used for acquiring at least one real-time land information parameter from the monitoring terminal at least once and transmitting at least one cultivation distribution instruction to the data acquisition equipment; the land information storage unit is used for storing the real-time land information parameters; the data updating unit is connected to the land information storage unit and used for updating the real-time information of each land in the real-time land information parameters according to the real-time land information parameters acquired each time and storing the updated real-time land information parameters to the land information storage unit; the land use analysis unit is connected to the land information storage unit and used for calculating and counting to obtain a land recommended use analysis result; a land recruiter unit connected to the land use analysis unit for issuing information to a contractor, a leaser or an investor by using the land recommended use analysis result; the land operation unit is connected to the land recruitment unit and the land operation service unit and is used for acquiring substances and services required by the seed culture process of the land; the crop product selling unit is connected to the land management unit and used for acquiring the real-time condition of the cultured crop products and issuing selling information in time; and the land actual use statistical unit is connected to the crop product selling unit, the land recruiter unit and the data updating unit, and is used for collecting and counting real-time information of each land and feeding the real-time information back to the land recruiter unit and the data updating unit.
Further, the data acquisition device comprises: the contractor, leaser or investor information acquisition unit is used for receiving and registering the contact information of pre-contract, lease or investment; a crop product demand information adoption unit for receiving and registering crop product demand information; the real-time climate weather temperature information adopting unit is used for receiving and registering real-time climate weather temperature information of the land; and the pest disease condition distribution information adopting unit is used for receiving and registering real-time pest disease condition distribution information of the land.
Further, the cluster intelligent generation system based on land use big data further comprises: the information display unit is connected to the land use analysis unit and is used for displaying the land recommended use analysis result; and the opinion feedback unit is connected to the information display unit and is used for collecting feedback opinion information of the land recommended use analysis result of the public.
Further, the real-time land information parameters comprise landform, real-time weather temperature, land coordinates and area, crop biological distribution range, pest disease distribution, crop biological yield and quality, land seed culture statistics and land contract lease investment information.
Further, the land management service unit includes: the labor unit is used for providing labor demand information and labor supply information; a crop seed culture material unit for providing crop seed culture material information; the crop seed culture material information comprises at least one of seeds, fertilizers, pesticides and agricultural machinery; the agricultural machine comprises at least one of planting machinery, harvesting machinery and spraying machinery; and the expert service unit is used for providing the information corresponding to the professional knowledge of crop planting and breeding.
Further, the cluster intelligent generation system based on land use big data further comprises: and the land current situation real-scene simulation unit is connected to the land information storage unit and is used for simulating the real-time information of each land in real time according to the real-time land information parameters of the data updating unit.
The invention also provides a use method of the cluster intelligent generation system based on the land use big data, which comprises the following steps:
a land information storage step for storing the real-time land information parameters;
a data updating step, which is used for updating the real-time information of each land in the real-time land information parameters according to the acquired real-time land information parameters each time and returning the updated real-time land information parameters to the land information storage step;
a land use analysis step for calculating and counting to obtain a land recommended use analysis result;
a land recruiting step of issuing information to a contractor, a leaser or an investor by using the land recommendation use analysis result;
a land management step for obtaining substances and services required by the planting and breeding process of the land; and
a crop product selling step, which is used for acquiring the real-time condition of the cultivated crop products and issuing selling information in time; and
and a land actual use statistics step for collecting and counting real-time information of each land and returning the real-time information to the land recruitment step and the data updating step.
Further, after the land information storing step, the method further comprises: and a land current situation live-action simulation step, which is used for simulating the real-time information of each land in real time according to the real-time land information parameters.
Further, after the land use analyzing step, the method further comprises the following steps: and an information displaying and opinion feedback step, which is used for displaying the land recommended use analysis result and collecting feedback opinion information of the public on the land recommended use analysis result.
Further, the land management service step includes: a labor step for providing labor demand information and labor supply information; a crop seed culture material step for providing crop seed culture material information; the crop seed culture material information comprises at least one of seeds, fertilizers, pesticides and agricultural machinery; the agricultural machine comprises at least one of planting machinery, harvesting machinery and spraying machinery; and an expert service step for providing the information of the professional knowledge corresponding to the crop planting and breeding.
The invention has the advantages that: the cluster intelligent generation system based on the land use big data and the using method thereof are provided, so that the large-scale collection of real-time land information parameters of various automatic data collection equipment is realized, and a solid data base can be provided for 5G; the invention processes and analyzes the real-time land information parameters of various automatic data acquisition equipment, can determine the real-time state of each land, and realizes the technical effect of balance in agricultural production and commodity circulation.
Drawings
The technical solution and other advantages of the present application will become apparent from the detailed description of the embodiments of the present application with reference to the accompanying drawings.
FIG. 1 is a block diagram of the overall structure of a cluster intelligent generation system based on land use big data in the embodiment of the present invention;
FIG. 2 is a schematic partial structure diagram of a cluster intelligent generation system based on land use big data in the embodiment of the present invention;
FIG. 3 is a flowchart of a method for using a cluster intelligent generation system based on land use big data according to an embodiment of the present invention;
fig. 4 is a flowchart of the land management service steps in the embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. It is to be understood that the embodiments described are only a few embodiments of the present application and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In the description of the present application, it is to be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; may be mechanically connected, may be electrically connected or may be in communication with each other; either directly or indirectly through intervening media, either internally or in any other relationship. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art as appropriate.
The following disclosure provides many different embodiments or examples for implementing different features of the application. In order to simplify the disclosure of the present application, specific example components and arrangements are described below. Of course, they are merely examples and are not intended to limit the present application. Moreover, the present application may repeat reference numerals and/or letters in the various examples, such repetition is for the purpose of simplicity and clarity and does not in itself dictate a relationship between the various embodiments and/or configurations discussed. In addition, examples of various specific processes and materials are provided herein, but one of ordinary skill in the art may recognize applications of other processes and/or use of other materials.
As shown in fig. 1, the embodiment of the present application provides a cluster intelligent generation system based on land use big data, which includes at least one server 1 and at least one data acquisition device 2; each server 1 corresponds to at least one monitoring terminal 3; each data acquisition device 2 corresponds to at least one server 1.
As shown in fig. 1, the monitoring terminal 3 includes a data acquisition unit 31 and a data transmission unit 32; the data acquisition unit 31 is connected to a numerical control unit of the automatic data acquisition equipment 2 and is used for acquiring at least one real-time land information parameter of at least one automatic data acquisition equipment 2; the data transmission unit 32 is connected to the data acquisition unit 31, and is configured to transmit the real-time land information parameters to a server 1 and obtain at least one cultivation distribution instruction from the server 1. The data transmission unit 32 may be connected to the data acquisition unit 31 through an ethernet (Internet external network), and the monitoring terminal 3 and the server 1 may exchange data through the corresponding data transmission unit 32, so that the monitoring terminal 3 and the server 1 may perform real-time communication, and the communication process is based on HTTP, TCP, and UDP communication protocols.
As shown in fig. 2, the server 1 includes: a server data transmission unit 11, a land information storage unit 12, a data update unit 13, a land use analysis unit 14, a land recruiter unit 15, a land management unit 16, a crop product sale unit 17, and a land actual use statistic unit 18.
As shown in fig. 2, in particular, the server data transmission unit 11 is connected to the data transmission unit 32 through ethernet, and is configured to obtain at least one real-time land information parameter from the monitoring terminal 3 at least once and transmit at least one cultivation allocation instruction to the data acquisition device 2; the land information storage unit 12 is used for storing the real-time land information parameters; the real-time land information parameters comprise landform, real-time climate weather temperature, land coordinates and area, crop biological distribution range, pest disease distribution, crop biological yield and quality, land planting and breeding statistics and land contract lease investment information; the data updating unit 13 is connected to the land information storage unit 12, and is configured to update the real-time information of each land in the real-time land information parameters according to the real-time land information parameters acquired each time, and store the updated real-time land information parameters in the land information storage unit 12; the land use analysis unit 14 is connected to the land information storage unit 12 and used for calculating and counting to obtain the land recommended use analysis result; the land recruiter unit 15 is connected to the land use analysis unit 14, and issues information to a contractor, a leaser or an investor by using the land recommendation use analysis result; the land operation unit 16 is connected to the land recruiter unit 15 and a land operation service unit 19 for obtaining the materials and services required by the cultivation process of land; the crop product selling unit 17 is connected to the land management unit 16 and is used for acquiring the real-time condition of the cultured crop products and issuing sale information in time; the land actual usage statistical unit 18 is connected to the crop product selling unit 17, the land recruiter unit 15 and the data updating unit 13, and is used for collecting and counting real-time information of each land and feeding the information back to the land recruiter unit 15 and the data updating unit 13.
As shown in fig. 2, in the present embodiment, the data collecting device 2 includes a contractor, leaser or investor information collecting unit 21, a crop product demand information adopting unit 22, a real-time climate weather temperature information adopting unit 23, and an insect disease distribution information adopting unit 24; the contractor, leaser or investor information collecting unit 21 is used for receiving and registering contact information of pre-contract, lease or investment; the crop product demand information employing unit 22 is configured to receive and register crop product demand information; the real-time weather and temperature information adopting unit 23 is used for receiving and registering real-time weather and temperature information of the land; the pest condition distribution information adoption unit 24 is used for receiving and registering real-time pest condition distribution information of the land.
In this embodiment, the intelligent cluster generation system based on the land use big data further includes an information disclosure unit 101 and an opinion feedback unit 102; the information displaying unit 101 is connected to the land use analyzing unit 14, and is used for displaying the land recommended use analyzing result; the opinion feedback unit 120 is connected to the information disclosing unit 101, and is configured to collect feedback opinion information of the public on the land recommended use analysis result.
In this embodiment, the real-time land information parameters include a landform, a real-time weather temperature, a land coordinate and area, a crop biological distribution range, a pest disease distribution, a crop biological yield and quality, a land planting and breeding statistic, and land contract lease investment information.
In this embodiment, the land management service unit 19 includes an employment unit, a crop species culture substance unit, and an expert service unit; the labor unit is used for providing labor demand information and labor supply information; the crop seed culture substance unit is used for providing crop seed culture substance information; the crop seed culture material information comprises at least one of seeds, fertilizers, pesticides and agricultural machinery; the agricultural machine comprises at least one of planting machinery, harvesting machinery and spraying machinery; the expert service unit is used for providing the information of the professional knowledge of the corresponding crop planting and breeding.
As shown in fig. 2, in this embodiment, the cluster intelligent generation system based on land use big data further includes a real-time land situation simulation unit 103; the land present situation realistic simulation unit 103 is connected to the land information storage unit 12, and is configured to simulate real-time information of each land in real time according to the real-time land information parameters of the data update unit 13.
As shown in FIG. 3, the present invention further provides a method for using the above-mentioned cluster intelligent generation system based on land use big data, which comprises steps S1-S9.
S1, land information storage step, used for storing the real-time land information parameters; the real-time land information parameters comprise landform, real-time climate and weather temperature, land coordinates and area, crop biological distribution range, pest disease distribution, crop biological yield and quality, land planting and breeding statistics and land contract lease investment information.
And S2, a data updating step, which is used for updating the real-time information of each land in the real-time land information parameters according to the real-time land information parameters acquired each time and returning the updated real-time land information parameters to the land information storage step.
And S3, simulating the land current situation and real scene, wherein the real-time information of each land is simulated in real scene according to the real-time land information parameters.
And S4, land use analysis step, for calculating and counting to obtain a land recommended use analysis result.
And S5, a land recruiting step of issuing information to the contractor, the leaser or the investor by using the land recommendation using the analysis result.
And S6, an information publicizing and opinion feedback step, which is used for publicizing the land recommended use analysis result and collecting the feedback opinion information of the public on the land recommended use analysis result.
S7, land management step for obtaining the materials and services required by the planting and breeding process of land; and
and S8, selling the crop products, and obtaining the real-time situation of the cultivated crop products and issuing the selling information in time.
And S9, a step of land actual use statistics, which is used for collecting and counting the real-time information of each land and returning to the step of land recruitment and the step of data updating.
As shown in fig. 4, in this embodiment, the land management service step S7 includes:
s71, a labor step, which is used for providing labor demand information and labor supply information;
s72, a crop seed culture material step, which is used for providing crop seed culture material information; the crop seed culture material information comprises at least one of seeds, fertilizers, pesticides and agricultural machinery; the agricultural machine comprises at least one of planting machinery, harvesting machinery and spraying machinery; and
and S73, expert service step for providing the information of the professional knowledge of the corresponding crop planting and breeding.
The invention provides a cluster intelligent generation system based on land use big data and a using method thereof, thereby realizing large-scale collection of real-time land information parameters of various automatic data collection equipment and providing a solid data base for 5G; the invention processes and analyzes the real-time land information parameters of various automatic data acquisition equipment, can determine the real-time state of each land, is transparent, and realizes the technical effect of balancing in agricultural production and commodity circulation.
When the method is applied specifically, an agricultural comprehensive network platform can be constructed to display a GUI interface, online and offline operation combination and company, government and farmer combination modes are realized, timely interaction of various agricultural elements is achieved, intermedium is removed, and the agricultural progress is promoted. The method specifically comprises the steps of land circulation, planting, agricultural experts, agricultural materials, agricultural machinery and commodity circulation, agricultural commodity circulation, commodity authentication, financial insurance, agricultural information, agricultural policies, weather, a vegetable garden, related links, complaints, suggestions and the like.
Circulation of the first chapter of land
The land circulation is divided into an on-line part and an off-line part, and the off-line part and the on-line part support each other and cannot be used. The online part mainly realizes land circulation without intermediate links through a network platform, and the offline part mainly collects related land information and provides information support for the online part.
On-line part
Land related information is published on the internet by farmers or units possessing land ownership or use right, and the units with contract intentions or individuals negotiate to circulate the land.
The online land information comprises: land types (cultivated land, forest land, water surface, mudflat, sea island, sea surface and the like), regions, longitudes and latitudes, GPS coordinates, temperature zone, land crops, fertilizer application condition, land rights age, land chemical testing and measuring prescription, last year crop yield, last year crop variety, acceptable land circulation mode, age and other information.
Land circulation mode: the land circulation mode comprises three modes, namely the first mode is the contract, and the contract years are negotiated with land ownership by the contract. Secondly, the nanny type hosting is that farmers or land use rights or ownership units host the land to contractors, and the contractors do the whole course of land management according to the wishes of the farmers or the ownership units. And thirdly, the menu type hosting is a semi-hosting mode, and farmers or units can selectively submit one or more items of cultivation, fertilization, sowing and the like to contractors. The three modes are adopted because the land conditions are different in China provinces and cities, such as northeast, inner Mongolia, Xinjiang and the like, most of the three modes are suitable for large-area continuous mechanized operation of land, but the three modes can be met because the continuous operation cannot be adopted when the land areas such as Guangxi, Jiangzhe and the like are small and the land features such as terraced fields and the like are not suitable for large-area continuous operation.
Land circulation price mode: the land circulation adopts an open bidding mode within a certain range and a certain time to circulate, which is beneficial to protecting the benefits of farmers and the benign development of companies or individuals with certain economic strength to the maximum extent. The bidding within a certain range is to protect the benefits of farmers on one hand and prevent the unlimited increase of the contract price on the other hand. The farming season is mainly considered in a certain time.
And (4) search options: the contractor wants to contract the land and can search for the land according to the conditions including the land type (cultivated land, forest land, water surface, shoal, sea island, sea surface, etc.), region (province, city, county, town, village, etc.), accumulated temperature zone, stubble and the like by using the search options.
Evaluation system: scoring the conditions of the contract and the lessor with high volume and high credit score
(II) lower part of line
The offline part mainly provides information support for the online part and verifies related data to ensure that the online part data is accurate. The offline portion can have three modes.
Company model: the company verifies the part of the information on the line.
Government modes: the relevant land information is provided and verified by government-related work departments or staff.
Corporate and government models: the information available is provided by the government and the company verifies and gathers information that the government cannot provide.
Chapter II planting
The project recruiter hangs the project on the network for planting, relevant information is released, the user reviews the project, and the user and the project recruiter conduct negotiation.
The planting project related information should include: project names (planting varieties and breeding varieties), predicted income, risk points, epidemic prevention, investment amount, corresponding conditions and the like.
The project is examined and verified by professionals professionally under the line, the integrity information and relevant conditions of the project recruiter are investigated, and the project can be put on the shelf only according with relevant requirements
And (4) search options: planting projects, investment amount, adaptation areas, climate and the like.
Chapter iii agricultural experts
The agricultural expert edition is used for solving agricultural problems for farmers on the internet by people with agricultural professional knowledge, and can be divided into free and charging modes, wherein the farmers mark after solving every time and divide corresponding grades. Related professionals can be organized on the internet by related institutions to solve corresponding problems for farmers.
And (4) search options: division is performed according to the specialty of the breeding project.
Chapter iv circulation of agricultural materials, agricultural machinery and commodities
The plate solves the problems of seeds, fertilizers, agricultural implements and the like, and sellers put corresponding commodities on shelves and negotiate with experts.
The commodity information should include the type, location, price, payment method, delivery method (self-service or delivery). The agricultural machine also needs to indicate whether the patch of the agricultural machine exists or not. The agricultural implements include selling, renting, and holding modes.
And (4) search options: item classification (agricultural materials including seeds, fertilizers, pesticides and the like, agricultural machines including planting, harvesting, wine spraying and the like), price interval and the like.
Chapter v agricultural commodity circulation
The agricultural commodity circulation comprises retail and bulk agricultural commodities, wherein the retail mainly sells agricultural commodities such as fruits, dried fruits and the like in an express delivery mode, and bulk commodities such as soybeans, sorghum and the like can be mixed with each other.
And (4) search options: variety, quantity of goods, price range, etc
Chapter six commodity authentication
The agricultural commodity is authenticated by offline professionals or professional institutions, the authentication is applied by commodity sellers, and the authentication is performed by professional authenticators or authentication institutions for searching of online users.
Authentication is classified by commodity type and authentication agency
Chapter seven financial insurance
The financial insurance institution is on-line, and the user with loan or insurance demand applies for the loan or insurance on-line to provide corresponding evidentiary materials, and the financial insurance institution provides corresponding services after passing the loan or insurance.
The on-line service of the financial insurance line has the advantages that the financial insurance mechanism can expand the user amount, can compete on the same platform, particularly, banks in some places can obtain a great development environment, and meanwhile farmers have more choices to realize win-win, but effective service is required to be provided off-line to ensure accurate transaction information.
Chapter eight agricultural information, agricultural policy, weather
The block provides value-added service for online users, so that vast farmers or related personnel can know agricultural information, policies and weather, and agricultural production can be better developed.
Chapter nine vegetable garden
In order to better serve the diversity demand of agricultural commodities, in the version, a farmer can rent a vegetable garden of the farmer or receive a user order, needs agricultural products for planting, and can develop leisure agriculture.
If you want to eat northeast rice, you can reserve a northeast paddy field, and the farmer plants you for you, and express delivery is given to you after harvesting. You can also order a fruit tree to eat the fruits in Hainan, and post to you after planting and harvesting by the grower, and during the period, you can know the growth mode of your crops in a video mode, can require what fertilizer to apply to the peasant user who plants you, and the like, and can also seek a land near your home to have a free way to seed.
And (4) search options: region, variety, price, etc
Chapter ten related links
The agricultural department, the national weather service and the like are linked with agricultural production and agricultural commodity circulation.
Chapter eleven complaints and suggestions
And the user complains about the illegal behaviors of the online merchants and proposes opinions and suggestions to the network platform.
The network platform is divided into more than ten edition blocks such as land circulation, planting, agricultural experts, agricultural and agricultural machine agricultural commodity circulation, financial insurance, agricultural information, agricultural policies, weather, vegetable garden, relevant links, complaint reports and the like, and the specific implementation is combined with online and offline operation, and the combination mode of companies, governments and farmers achieves timely interaction of various agricultural elements, removes the internationalization and achieves the purpose of promoting the agricultural development.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
The above detailed description is given to a cluster intelligent generation system based on land use big data and a using method thereof provided by the embodiment of the application, a specific example is applied in the description to explain the principle and the implementation mode of the application, and the description of the above embodiment is only used for helping to understand the technical scheme and the core idea of the application; those of ordinary skill in the art will understand that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications or substitutions do not depart from the spirit and scope of the present disclosure as defined by the appended claims.
Claims (10)
1. A cluster intelligent generation system based on land use big data is characterized by comprising:
each server corresponds to at least one monitoring terminal; and
each data acquisition device corresponds to at least one server;
wherein, the monitor terminal includes:
the data acquisition unit is connected to the numerical control unit of the automatic data acquisition equipment and is used for acquiring at least one real-time land information parameter of the automatic data acquisition equipment; and
the data transmission unit is connected to the data acquisition unit and used for transmitting the real-time land information parameters to a server and acquiring at least one cultivation distribution instruction from the server;
wherein the server comprises:
the server data transmission unit is connected to the data transmission unit through an Ethernet and is used for acquiring at least one real-time land information parameter from the monitoring terminal at least once and transmitting at least one cultivation distribution instruction to the data acquisition equipment;
the land information storage unit is used for storing the real-time land information parameters;
the data updating unit is connected to the land information storage unit and used for updating the real-time information of each land in the real-time land information parameters according to the real-time land information parameters acquired each time and storing the updated real-time land information parameters to the land information storage unit;
the land use analysis unit is connected to the land information storage unit and used for calculating and counting to obtain a land recommended use analysis result;
a land recruiter unit connected to the land use analysis unit for issuing information to a contractor, a leaser or an investor by using the land recommended use analysis result;
the land operation unit is connected to the land recruitment unit and the land operation service unit and is used for acquiring substances and services required by the seed culture process of the land;
the crop product selling unit is connected to the land management unit and used for acquiring the real-time condition of the cultured crop products and issuing selling information in time; and
and the land actual use statistical unit is connected to the crop product selling unit, the land recruiter unit and the data updating unit, and is used for collecting and counting real-time information of each land and feeding the real-time information back to the land recruiter unit and the data updating unit.
2. The land use big data-based clustered intelligent generating system as claimed in claim 1, wherein said data collecting device comprises:
the contractor, leaser or investor information acquisition unit is used for receiving and registering the contact information of pre-contract, lease or investment;
a crop product demand information adoption unit for receiving and registering crop product demand information;
the real-time climate weather temperature information adopting unit is used for receiving and registering real-time climate weather temperature information of the land; and
and the pest disease condition distribution information adopting unit is used for receiving and registering real-time pest disease condition distribution information of the land.
3. The land use big data-based clustered intelligent generation system of claim 1 further comprising:
the information display unit is connected to the land use analysis unit and is used for displaying the land recommended use analysis result; and
and the opinion feedback unit is connected to the information display unit and is used for collecting feedback opinion information of the land recommended use analysis result of the public.
4. The land use big data-based clustered intelligent generating system of claim 1,
the real-time land information parameters comprise landform, real-time climate and weather temperature, land coordinates and area, crop biological distribution range, pest disease distribution, crop biological yield and quality, land planting and breeding statistics and land contract lease investment information.
5. The land use big data-based clustered intelligent generating system of claim 1, wherein the land management service unit comprises:
the labor unit is used for providing labor demand information and labor supply information;
a crop seed culture material unit for providing crop seed culture material information; the crop seed culture material information comprises at least one of seeds, fertilizers, pesticides and agricultural machinery; the agricultural machine comprises at least one of planting machinery, harvesting machinery and spraying machinery; and
and the expert service unit is used for providing the information corresponding to the professional knowledge of crop planting and breeding.
6. A land use big data based clustered intelligent generation system as claimed in any one of claims 1 to 5 further comprising:
and the land current situation real-scene simulation unit is connected to the land information storage unit and is used for simulating the real-time information of each land in real time according to the real-time land information parameters of the data updating unit.
7. A method of using the land use big data based cluster intelligent generation system according to any one of claims 1 to 5, characterized by comprising the steps of:
a land information storage step for storing the real-time land information parameters;
a data updating step, which is used for updating the real-time information of each land in the real-time land information parameters according to the acquired real-time land information parameters each time and returning the updated real-time land information parameters to the land information storage step;
a land use analysis step for calculating and counting to obtain a land recommended use analysis result;
a land recruiting step of issuing information to a contractor, a leaser or an investor by using the land recommendation use analysis result;
a land management step for obtaining substances and services required by the planting and breeding process of the land; and
a crop product selling step, which is used for acquiring the real-time condition of the cultivated crop products and issuing selling information in time; and
and a land actual use statistics step for collecting and counting real-time information of each land and returning the real-time information to the land recruitment step and the data updating step.
8. A method of using a land use big data based clustered intelligence generation system as claimed in any one of claim 7 further comprising after said land information storing step:
and a land current situation live-action simulation step, which is used for simulating the real-time information of each land in real time according to the real-time land information parameters.
9. A method of using a land use big data based clustered intelligence generation system as claimed in any one of claim 7 further comprising after said land use analysis step:
and an information displaying and opinion feedback step, which is used for displaying the land recommended use analysis result and collecting feedback opinion information of the public on the land recommended use analysis result.
10. A method of using the land use big data based cluster intelligent generation system according to any one of claim 7, wherein the land management service step comprises:
a labor step for providing labor demand information and labor supply information;
a crop seed culture material step for providing crop seed culture material information; the crop seed culture material information comprises at least one of seeds, fertilizers, pesticides and agricultural machinery; the agricultural machine comprises at least one of planting machinery, harvesting machinery and spraying machinery; and
and an expert service step for providing the information of the professional knowledge corresponding to the crop planting and breeding.
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