CN105260791A - Planting plan optimization system and method based on agricultural Internet of Things and big data analysis - Google Patents
Planting plan optimization system and method based on agricultural Internet of Things and big data analysis Download PDFInfo
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Abstract
The invention discloses a planting plan optimization system and a method based on agricultural Internet of Things and a big data analysis. The system comprises a data acquisition and processing module, a database, a statistics processing module, a crop planting plan optimization model and a corresponding optimization engine, a central processor, and a computer decision auxiliary system, and the computer decision auxiliary system comprises a user interface and function module used for helping decision makers to compile executable crop planting plans, and a data interaction and interface module of a crop production and management system. According to the system and the method, based on the Internet of Things and supported by the informatization technology, a unified business information management platform is constructed, informatization management of various agricultural production links such as scientific research, production, logistics, and sales is realized, and reasonable planning of agricultural product planting and production, high efficiency production, scientific prediction, accurate sales, and data decision are realized.
Description
Technical field
The present invention relates to information-based agriculture field of planting, particularly relate to a kind of planting scheme optimization system based on agriculture Internet of Things and large data analysis and method.
Background technology
Agricultural is one of most important mainstay industry of contemporary Chinese national economy.Chinese agriculture is breaking away from traditional small peasant economy pattern, to intensive, become more meticulous and intelligent direction transform.This revolutionary transformation by needing the support of novel infotech, especially based on the support of the decision optimization system of large data.
Agricultural is as the primary industry of China, be faced with agricultural product diversified demand constantly to increase, the product life cycle constantly shorten, eco-land planning worsens, climate change overfrequency is excessive, resource distribution is unreasonable, bio-diversity constantly declines, product cannot with the severe challenge such as developed country agricultural production competition.China is large agricultural country, but is the country of arable land wretched insufficiency, current China per capita cultivated land wretched insufficiency, and the 126th, the per capita area of cultivated farmland rank world, only occupies 40% of world's per capita area of cultivated farmland.General Promotion Chinese agriculture competitive power, concerning National Security Strategy.Have only and realize with large data being that the agricultural management that supports is information-based and scientific, agricultural modernization and informationalized large fusion could be realized.But China is vast in territory, natural conditions of agriculture is complicated, and mechanization of agriculture level of aggregation is lower, at agricultural production, the application of computing machine, information and electronization etc. is also less, and therefore popularizing IT application to agriculture in an all-round way still has certain difficulty, and it is also extremely low that current farm information applies rate.China is as a traditional agriculture big country, and traditional agriculture is produced commonly exists the low and low inferior feature of labour productivity of scientific and technological content, in recent years along with the gradually reducing of available arable land, labor cost progressively improve, drops into be difficult to realization and get agricultural profit by materialization.Simultaneously, agricultural organization under traditional agriculture production model is single, dispersion often, peasant sells from breeding to output, be not fully formed industrial chain value product truly, agricultural production strength is disperseed, cannot in the face of large market information, famine obtains the ability of market information, and Agricultural Information bottleneck has become the serious hindrance of rural economic development.
Therefore, pass through informationization technology, the enforcement accelerating wisdom agricultural is reached by the large data acquisition of agricultural, adhere to promotion agricultural modernization of applying IT extensively to agricultural development, promote modern agriculture sci-tech innovation ability, accelerate traditional agriculture industrial upgrading, agriculture industrialization is promoted with infotech, extend with Agricultural informatics and expand government services for means, change Basic Government function, improve Basic Government supervision and service level, the extensive mode of production is changed into agricultural science and technology upgrading, make agricultural production more accurate, more scientific, more convenient, thus realize intensive manufacture, industrialization management, socialized service system, the modern agriculture pattern of market operation.
At large data age in the ascendant now, the decision-making of enterprise effectively must be analyzed based on the carrying out of diversification data, and therefrom finds out optimal case.Enterprise is more comprehensive in order to the data analyzed, and the result of analysis is got over close to truly.Large data analysis means that enterprise can obtain new clairvoyance from these new data, and its each details with known business is merged mutually, and the important decision of enterprise is based upon on the basis of quantitative data analysis.The large data of agricultural are as the cutting edge technology of IT application to agriculture, and being the concentrated reflection of generation information technology, is one of emerging technology industrial field of most potentiality.The recent tendency of the IT application to agriculture of large data age is on the basis for all kinds of Correlative data analysis, use mathematical optimization theory to be optimized for Agriculture production and management plan, to obtaining maximum profit or minimum cost.
Summary of the invention
The technical matters that the present invention mainly solves is to provide a kind of planting scheme optimization system based on agriculture Internet of Things and large data analysis and method, traditional agriculture plantation Problems existing can be solved, and by reasonable arrangement planting scheme, reach the optimization aim of maximum profit or minimum cost.
For solving the problems of the technologies described above, the technical scheme that the present invention adopts is: provide a kind of planting scheme optimization system based on agriculture Internet of Things and large data analysis, comprising:
Data acquisition and processing module: for obtaining and processing all kinds of related data;
Database, for storing all kinds of related datas obtained by described data acquisition and processing module;
Statistical treatment module, for the treatment of described all kinds of related data, and predicts the data trend in the plan phase;
Proportion of crop planting planning optimization model and optimize engine accordingly;
Central processing unit;
Computer decision-making backup system, comprises user interface and functional module that aid decision making person works out executable proportion of crop planting plan, and and the data interaction of Management System of Crop Production andIts and interface module.
In a preferred embodiment of the present invention, described all kinds of related data comprises: soil manufacturing parameter, large weather data, agricultural production model knowledge, agricultural product price data and agricultural product factor cost data.
In a preferred embodiment of the present invention, described data acquisition and processing module comprise: obtain and process the digital independent of all kinds of soils manufacturing parameter, storage and processing module; Obtain and process the digital independent of all kinds of meteorology and climate hydrologic data, storage and processing module; Obtain and process the digital independent of agricultural production model knowledge, storage and processing module; Obtain and process the digital independent of agricultural product historical sales price, storage and processing module; Obtain and process the digital independent of agricultural product factor cost, storage and processing module.
In a preferred embodiment of the present invention, described database comprises: land ecology database, meteorogical phenomena database, crops ecological database, agricultural product price database and production cost database.
In a preferred embodiment of the present invention, described statistical treatment module comprises data scrubbing and dealing of abnormal data module, statistical model fitting module, time series data prediction module, non-time series data prediction module and digital simulation generator.
In a preferred embodiment of the present invention, also comprise one or more input equipment, one or more output device and one or more communication connection.
In a preferred embodiment of the present invention, described input equipment comprises digitizer screen, contact pilotage, trace ball, keyboard, miniature keyboard, mouse; Described output device comprises display device, the mobile device of PC; Described communication connection comprises LAN (Local Area Network), wide area network and/or other networks.
For solving the problems of the technologies described above, another technical solution used in the present invention is: provide a kind of planting scheme optimization method based on agriculture Internet of Things and large data analysis, comprise the steps:
(1) all kinds of related data is collected;
(2) utilize all kinds of related data described in data processing module process and be stored in corresponding database;
(3) the planting scheme mathematic optimal model based on data in step (2) is set up;
(4) set up optimization engine, utilize the computerized algorithm comprising optimal algorithm and approximate data to obtain the optimization solution of above-mentioned mathematic optimal model;
(5) work out executable proportion of crop planting plans by computer decision-making backup system, and input agricultural production management system for execution.
In a preferred embodiment of the present invention, in described step (3), described mathematic optimal model comprises optimization object function and constraint condition; Wherein, described objective optimization function comprises: the revenus maximization of whole production run; The profit maximization of whole production run; The cost minimization of whole production run; The revenus maximization of the whole production process of circulation (comprising supply chain); The profit maximization of the whole production process of circulation (comprising supply chain); The cost minimization of the whole production process of circulation (comprising supply chain); The prospective earnings of agricultural product under the condition of avoiding risk maximize; The plantation maximize diversity of agricultural product; Agricultural product are produced and are minimized the harm of environment; Described constraint condition comprises: the various restraining factors affecting decision-making, comprises labour's restrictive condition, soil restriction and infusion of financial resources restriction; Crops self regularity constraint, comprise reseed, crop rotation, the constraint of production cycle; The quantity of agricultural machinery and the constraint of function; The capacity limit of supply chain, comprises movement capacity restriction and quantitative limitation is held in storage; The restriction of fertilising and irrigation project; Agricultural chemicals, chemical fertilizer, nitrate and other chemicals are on the constrained of the impact of environment; The constraint of production risk; The constraint of liquidity risk; The constraint of the market risk.
The invention has the beneficial effects as follows: a kind of planting scheme optimization system based on agriculture Internet of Things and large data analysis of the present invention and method, based on Internet of Things, be support with informationization technology, build uniform traffic information management platform, realize the information system management for each agricultural production links such as scientific research, production, logistics, sale, realize agricultural cultivation and produce rationalization scheme, High-efficient Production, scientific forecasting, precisely sale and decision data.Advantage specific as follows:
(1) the large data of agricultural gathered by Internet of Things are carried out becoming more meticulous in conjunction with the ecological model aid decision making person of agricultural cultivation the optimizing decision of planting scheme;
(2) factor of agriculture production cost and market sale is embodied in planting scheme, the optimization of economic benefit can be realized;
(3) influence factor that gets integrated into environment in technical scheme carrys out the relation of anal yzing agricul products output and environmental impact, to promote the sustainable development of agricultural production;
(4) under certain constraint condition, consider the diversity of agriculture plant, realize ecologic environment and rationalize;
(5) prospective earnings and the risk of the various agricultural product production schedule will be assessed quantitatively, thus be made at the Optimal Production combination in risk control situation.
Accompanying drawing explanation
Fig. 1 is that the present invention is a kind of based on agriculture Internet of Things and the planting scheme optimization system of large data analysis and the overall architecture schematic diagram of method;
Fig. 2 is that described soil manufacturing parameter obtains and treatment scheme schematic diagram;
Fig. 3 is that described large weather data obtains and treatment scheme schematic diagram;
Fig. 4 is the knowledge acquisition of described agricultural production model and treatment scheme schematic diagram;
Fig. 5 is that described agricultural product price obtains and treatment scheme schematic diagram;
Fig. 6 is that described costs of farm produce obtains and treatment scheme schematic diagram;
Fig. 7 is described statistical treatment module frame figure;
Fig. 8 is described Optimized model decorum schematic flow sheet;
Fig. 9 is described optimization automotive engine system process flow diagram;
Figure 10 be described Optimized model/optimization engine computer environment system architecture diagram and with production management system structural representation.
Embodiment
Below in conjunction with accompanying drawing, preferred embodiment of the present invention is described in detail, can be easier to make advantages and features of the invention be readily appreciated by one skilled in the art, thus more explicit defining is made to protection scope of the present invention.
Refer to Fig. 1-10, the embodiment of the present invention comprises:
Based on a planting scheme optimization system for agriculture Internet of Things and large data analysis, comprising:
(1) data acquisition and processing module: for obtaining and processing all kinds of related data;
Described data acquisition and processing module and corresponding all kinds of related data comprise: obtain and process the digital independent of all kinds of soils manufacturing parameter, storage and processing module; Obtain and process the digital independent of all kinds of meteorology and climate hydrologic data, storage and processing module; Obtain and process the digital independent of agricultural production model knowledge, storage and processing module; Obtain and process the digital independent of agricultural product historical sales price, storage and processing module; Obtain and process the digital independent of agricultural product factor cost, storage and processing module; Wherein,
Soil manufacturing parameter comprises the manufacturing parameter of the inside the plan crops such as humiture, intensity of illumination, soil nutrient, gas concentration lwevel in soil;
Large weather data comprises the hydrology, meteorology and climatic data, and its data source comprises meteorology, the Hydrological Data Acquisition station of locality and neighborhood, transmission network, data center at different levels, unattended station, satellite and remotely-sensed data, meteorology and climate forecast data etc.;
Agricultural production model knowledge obtains mainly through Agricultural expert's storehouse and agricultural knowledge storehouse.Due to complicacy and the singularity of agricultural self, agricultural knowledge data are more non-structured data, the expertise knowledge that the hypermedia key element as forms such as a large amount of words, chart, picture, animation, voice/videos represents and Agricultural model etc.So the agricultural production model knowledge of quantification must be changed and extract to these structurings and non-structured data on our large platform for data arrangement;
Agricultural product price data will collect the price of each agricultural product from inner or outside farm produce sale system.Because the harvest, quality, selling time, sales volume, processing process, market channel etc. of final price and product are relevant, original prices data have to pass through the processing process of agricultural product price integrate module, just can obtain the composite price of these agricultural product;
Agricultural product factor cost data are collected from inner or outside agricultural production management system, and factor cost includes but not limited to following cost factor: cost of labor, seed costs, pouring cost, fertilising cost, farm machinery cost, weeding cost, results cost, processing processing cost, warehouse cost, transportation cost etc.;
(2) database, for storing all kinds of related datas obtained by described data acquisition and processing module; Described database comprises: land ecology database, meteorogical phenomena database, crops ecological database, agricultural product price database and production cost database.
(3) statistical treatment module, for the treatment of described all kinds of related data, and predicts the data trend in the plan phase; Described statistical treatment module comprises data scrubbing and dealing of abnormal data module, statistical model fitting module, time series data prediction module, non-time series data prediction module and digital simulation generator.
(4) proportion of crop planting planning optimization model and optimize engine accordingly;
(5) central processing unit, comprise various types of counting circuit, calculate microprocessor, Jing Ke Cao Neng microprocessor, CLIW microprocessor such as but not limited to microprocessor, microcontroller, sophisticated vocabulary, show the treatment circuit that parallel instruction calculates microprocessor, graphic process unit, digital signal processor or other kinds.Central processing unit also comprises embedded controller, such as general or programmable logic device (PLD) or array, special IC, single-chip microcomputer, smart card etc.
(6) computer decision-making backup system, comprises user interface and functional module that aid decision making person works out executable proportion of crop planting plan, and and the data interaction of Management System of Crop Production andIts and interface module.
(7) one or more input equipment, one or more output device and one or more communication connection; Described input equipment comprises digitizer screen, contact pilotage, trace ball, keyboard, miniature keyboard, mouse; Described output device comprises display device, the mobile device of PC; Described communication connection comprises LAN (Local Area Network), wide area network and/or other networks.
Planting scheme optimization system based on agriculture Internet of Things and large data analysis of the present invention can with comprise function, code, data structure apply together with the program module of application program, for executing the task, or definition abstract data type and low-level hardware contexts.The machine-readable instructions be kept in above-mentioned storage medium can be performed by central processing unit.
The above-mentioned planting scheme optimization method based on agriculture Internet of Things and large data analysis, comprises the steps:
(1) all kinds of related data is collected;
(2) utilize all kinds of related data described in data processing module process and be stored in corresponding database;
As shown in Figure 2, the soil manufacturing parameter processing platform based on technology of Internet of things is utilized to collect soil manufacturing parameter.This platform is made up of agriculture Internet of Things perception key-course, Internet of Things transmission communication layer and Internet of Things application layer etc.
The main task of Internet of Things perception key-course is by the various physical quantitys of the real world agricultural production on a large scale etc. by various means, in real time and robotization be converted into the accessible digital information of virtual world or data.The information such as thing network sensing layer collecting temperature, humidity, illumination, Net long wave radiation, gas concentration, soil N/P/K content, water quality, potential of hydrogen, oxygen level, the running parameter of acquisition instrument, equipment, Agricultural Geography positional information, by technological means such as GASS sensor, infrared sensor, Hall element, RFID technique, electromagnetic induction sensor, spectrum sensors, the information mark these and the physical message of real world are converted into can for the digital information of process.The hardware technology that information acquisition layer relates to has: two-dimension code label, camera, sensor, terminal, sensor network etc., and the software engineering standard related to has agricultural environment energy management technology, agricultural environment Anti-Jamming Technique, agricultural environment to adapt to communication pattern and agricultural profession standard etc.Except the manufacturing parameter of these natural lands.Perception key-course also will control land quality by agricultural environment intelligence improving environment and improve equipment, as irrigation equipment, oxygen increasing equipment, fertilizing equipment etc. improve land quality and performance.
The main task of Internet of Things Communication Layer is the Agricultural Information collected by Agricultural Information acquisition layer, is gathered by various network technology, is integrated together, the Agricultural Information on a large scale for process.Transport layer is the nerve center of agriculture Internet of Things and brain information transmission and process.Network layer comprises communication and the UNE of internet, network management center, information center and Intelligent treatment center etc.Information gathers the technology that layer relates to be had: cable network, wireless network, traditional GPRS and up-to-date 3G, 4G etc.
The main task of Internet of Things application layer is gathered at information, treatment and analysis is carried out to the information gathered, the valid data (as real-time monitoring data, environmental monitoring data, security monitoring data etc.) of the soil manufacturing parameter extracted are carried out gathering and simple computation, then calls after statistical treatment resume module stored in land ecology database.
As shown in Figure 3, first need to collect all kinds of relevant hydrology, meteorology and climatic data.The data source of these large weather datas comprises meteorology, the Hydrological Data Acquisition station of locality and neighborhood, transmission network, data center at different levels, unattended station, satellite and remotely-sensed data, meteorology and climate forecast data etc., comprise structurized, semi-structured and non-structured data.Multi-form due to data and data source, by corresponding different transmission mode (as GPRS, CDMA, satellite note etc.) and the transmission of the data transmission terminal that freely can switch according to actual conditions, criterion and quantity data must be integrated into by Data Integration center is unified.Then call carry out that data clean through statistical module, statistical modeling, after the process such as prediction stored in meteorogical phenomena database required for the present invention.
As shown in Figure 4, the knowledge data in a large amount of Agricultural expert's storehouse and agricultural knowledge storehouse, especially a large amount of words, chart, picture, animation, the unstructured data of the expertise knowledge that the hypermedia key element of the forms such as voice/video represents and Agricultural model, on agricultural knowledge management platform, the parameter of the related crop species biological growth model of quantification is integrated out by large data processing and digging technology, as growth period rule, water irrigates demand, fertilization rule equivalent law, through call through statistics submodule carry out data clean, statistical modeling, stored in crops ecological database required for the present invention after prediction waits and processes.
As shown in Figure 5, original prices data are from the transaction record in inner or outside farm produce sale system, relevant treatment is carried out to due to the relative effect factor such as harvest, quality, selling time, sales volume, processing process, market channel because of product in agricultural product price integron module, thus obtain the composite price of these agricultural product, then carry out that data clean through calling through statistics submodule, statistical modeling, after the process such as prediction stored in agricultural product price database required for the present invention.
As shown in Figure 6, raw data is from the original expenditure record of the production factors relevant to each agricultural product in inner or outside agricultural production management system.We mainly consider the cost factor of following production factors: cost of labor, seed costs, pouring cost, fertilising cost, farm machinery cost, weeding cost, results cost, processing processing cost, warehouse cost, transportation cost etc.We will calculate all kinds of fixed cost with cost model and how effectively to share, final all kinds of effective unit cost data after statistical module process stored in production cost database required for the present invention.
As shown in Figure 7, described statistical treatment module is made up of 4 submodules and a simulator.Wherein, data clean mainly undertakes the clean work of data with dealing of abnormal data submodule, and carries out respective handling to abnormal data; Statistical model matching submodule is that pending data selection closes the statistical model of beginning most so that error is minimum.If pending data possess time attribute, need to provide prediction service by time series data predictor module.If pending data do not possess time attribute, then need to provide prediction service by non-time series data prediction submodule.If planting scheme Optimized model is used for the financial risk of optimal planning, the data that digital simulation generator will produce needed for computer simulation.The model and algorithm technological means that this module relates to includes, but is not limited to the technology such as Economic Model, linear regression, non-linear regression, statistical factors prediction, Causal model, data mining.
(3) the planting scheme mathematic optimal model based on data in step (2) is set up;
As shown in Figure 8, first, read above-mentioned steps (1) and the Various types of data described in (2), include, but is not limited to the data such as a large amount of industries concerned, production, cost, management, market sale, land resource, water resource, living resources, meteorological model.The large data mining that these source datas have used us to create and Processing Algorithm, as technological means such as Economic Model, linear regression, non-linear regression, statistical factors prediction, Causal model, data minings, by the statistical treatment module shown by Fig. 6, to obtain the service data that this model needs.
Then, the mathematical model comprising optimization object function and constraint condition is set up; Wherein, objective optimization function can be determined in following (but being not limited to) target: the 1. revenus maximization of whole production run; 2. the profit maximization of whole production run; 3. the cost minimization of whole production run; 4. the revenus maximization of the whole production process of circulation (comprising supply chain); 5. the profit maximization of the whole production process of circulation (comprising supply chain); 6. the cost minimization of the whole production process of circulation (comprising supply chain); 7. the prospective earnings of agricultural product under the condition of avoiding risk maximize; 8. the plantation maximize diversity of agricultural product; 9. agricultural product are produced and are minimized the harm of environment.System requirements user can select one or more (weighting) as the objective optimization function of model in above-mentioned target.The constraint condition of model can be determined in following (but being not limited to) constraint condition: the various restraining factors 1. affecting decision-making, as labour's restrictive condition, soil restriction and infusion of financial resources restriction; 2. crops self regularity constraint, as reseeded, crop rotation, the constraint of production cycle; 3. the quantity of agricultural machinery and the constraint of function; 4. the capacity limit of supply chain, as quantitative limitation is held in movement capacity restriction, storage; 5. the restriction of fertilising and irrigation project; 6. agricultural chemicals, chemical fertilizer, nitrate and other chemicals are on the constrained of the impact of environment; 7. the constraint of production risk; 8. the constraint of liquidity risk; 9. the constraint of the market risk.
The influence factor that gets integrated into environment in technical scheme carrys out the relation of anal yzing agricul products output and environmental impact, to promote the sustainable development of agricultural production, such as, consider in planting scheme that while optimization economic target, reduce the chemicals such as chemical fertilizer uses and irrigation cost, and reduce the environmental risk of agricultural chemicals and nitrate.
Above-mentioned proportion of crop planting planning optimization model is utilized to can be used to determine: (1) best proportion of crop planting plan; (2) mutual relationship of agricultural production different piece is analyzed; (3) best configuration and the quantity of agricultural machinery is analyzed; (4) regional agricultural production plan; (5) interactive analysis of agricultural production and environment; (6) risk control of Agriculture production and management.
(4) set up optimization engine, utilize the computerized algorithm comprising optimal algorithm and approximate data to obtain the optimization solution of above-mentioned mathematic optimal model;
As shown in Figure 9, optimize engine after reading the mathematical model produced, will analyze model attributes and scale, and then select most suitable algorithm.Optimal algorithm and approximate data can be comprised by selection algorithm.After acquisition solution to model (optimum solution or approximate optimal solution), if user is satisfied to model solution, then output scheme.As dissatisfied, user can some parameters of artificial adjustment model, carry out again solution and touch, till knowing acquisition satisfactory solution.The algorithm of engine will use the technology such as computer simulation, linear programming, integer programming, nonlinear programming, artificial intelligence.
(5) work out executable proportion of crop planting plans by computer decision-making backup system, and input agricultural production management system for execution.
As shown in Figure 10, the Output rusults (Plant plane of optimization) optimizing engine will output to corresponding data storage (as database) and be connected with agricultural production management system to fetch and perform these schemes.
Modern agriculture is compared with traditional agriculture, and way to manage has feature that is multifactor, high complexity.The planting scheme of agricultural product must pay close attention to the sustainable development of agricultural.For the sustainable development of agricultural resource, the output of guaranteeing to drop into resource can not exceed the Natural re generation ability of resource, and will safeguard that certain finance increase.We must consider the complicacy of agricultural products Growth and yield process, must consider the interaction of agricultural production process and environment, economy, epoch and social factor.In a word, technical scheme of the present invention is based on Internet of Things, be support with informationization technology, build uniform traffic information management platform, realize the information system management for each agricultural production links such as scientific research, production, logistics, sale, realize agricultural cultivation and produce rationalization scheme, High-efficient Production, scientific forecasting, precisely sale, decision data.
Technical scheme of the present invention has following benefit:
1. the large data of agricultural gathered by Internet of Things are carried out becoming more meticulous in conjunction with the ecological model aid decision making person of agricultural cultivation the optimizing decision of plan of plantation;
2. the factor of agriculture production cost and market sale is embodied in planting scheme, the optimization of economic benefit can be realized.
3. get integrated into environment influence factor in technical scheme, carrys out the relation of anal yzing agricul products output and environmental impact, to promote the sustainable development of agricultural production.Such as, consider in planting scheme that while optimization economic target, reduce the chemicals such as chemical fertilizer uses and irrigation cost, and reduce the environmental risk of agricultural chemicals and nitrate.
4. under certain constraint condition, consider the diversity of agriculture plant, realize ecologic environment and rationalize.
5. will assess prospective earnings and the risk of the various agricultural product production schedule quantitatively, thus be made at the Optimal Production combination in risk control situation.
The foregoing is only embodiments of the invention; not thereby the scope of the claims of the present invention is limited; every utilize instructions of the present invention and accompanying drawing content to do equivalent structure or equivalent flow process conversion; or be directly or indirectly used in other relevant technical fields, be all in like manner included in scope of patent protection of the present invention.
Claims (9)
1., based on a planting scheme optimization system for agriculture Internet of Things and large data analysis, it is characterized in that, comprising:
Data acquisition and processing module: for obtaining and processing all kinds of related data;
Database, for storing all kinds of related datas obtained by described data acquisition and processing module;
Statistical treatment module, for the treatment of described all kinds of related data, and predicts the data trend in the plan phase;
Proportion of crop planting planning optimization model and optimize engine accordingly;
Central processing unit;
Computer decision-making backup system, comprises user interface and functional module that aid decision making person works out executable proportion of crop planting plan, and and the data interaction of Management System of Crop Production andIts and interface module.
2. the planting scheme optimization system based on agriculture Internet of Things and large data analysis according to claim 1, it is characterized in that, described all kinds of related data comprises: soil manufacturing parameter, large weather data, agricultural production model knowledge, agricultural product price data and agricultural product factor cost data.
3. the planting scheme optimization system based on agriculture Internet of Things and large data analysis according to claim 1, it is characterized in that, described data acquisition and processing module comprise: obtain and process the digital independent of all kinds of soils manufacturing parameter, storage and processing module; Obtain and process the digital independent of all kinds of meteorology and climate hydrologic data, storage and processing module; Obtain and process the digital independent of agricultural production model knowledge, storage and processing module; Obtain and process the digital independent of agricultural product historical sales price, storage and processing module; Obtain and process the digital independent of agricultural product factor cost, storage and processing module.
4. the proportion of crop planting planning optimization system based on agriculture Internet of Things and large data analysis according to claim 1, it is characterized in that, described database comprises: land ecology database, meteorogical phenomena database, crops ecological database, agricultural product price database and production cost database.
5. the proportion of crop planting planning optimization system based on agriculture Internet of Things and large data analysis according to claim 1, it is characterized in that, described statistical treatment module comprises data scrubbing and dealing of abnormal data module, statistical model fitting module, time series data prediction module, non-time series data prediction module and digital simulation generator.
6. the proportion of crop planting planning optimization system based on agriculture Internet of Things and large data analysis according to any one of claim 1 to 5, it is characterized in that, also comprise one or more input equipment, one or more output device and one or more communication connection.
7. the proportion of crop planting planning optimization system based on agriculture Internet of Things and large data analysis according to claim 6, it is characterized in that, described input equipment comprises digitizer screen, contact pilotage, trace ball, keyboard, miniature keyboard, mouse; Described output device comprises display device, the mobile device of PC; Described communication connection comprises LAN (Local Area Network), wide area network and/or other networks.
8. the planting scheme optimization method based on agriculture Internet of Things and large data analysis as described in any one of claim 1 to 5, is characterized in that, comprise the steps:
(1) all kinds of related data is collected;
(2) utilize all kinds of related data described in data processing module process and be stored in corresponding database;
(3) the planting scheme mathematic optimal model based on data in step (2) is set up;
(4) set up optimization engine, utilize the computerized algorithm comprising optimal algorithm and approximate data to obtain the optimization solution of above-mentioned mathematic optimal model;
(5) work out executable proportion of crop planting plans by computer decision-making backup system, and input agricultural production management system for execution.
9. the planting scheme optimization method based on agriculture Internet of Things and large data analysis according to claim 8, it is characterized in that, in described step (3), described mathematic optimal model comprises optimization object function and constraint condition; Wherein, described objective optimization function comprises: the revenus maximization of whole production run; The profit maximization of whole production run; The cost minimization of whole production run; The revenus maximization of the whole production process of circulation; The profit maximization of the whole production process of circulation; The cost minimization of the whole production process of circulation; The prospective earnings of agricultural product under the condition of avoiding risk maximize; The plantation maximize diversity of agricultural product; Agricultural product are produced and are minimized the harm of environment; Described constraint condition comprises: the various restraining factors affecting decision-making, comprises labour's restrictive condition, soil restriction and infusion of financial resources restriction; Crops self regularity constraint, comprise reseed, crop rotation, the constraint of production cycle; The quantity of agricultural machinery and the constraint of function; The capacity limit of supply chain, comprises movement capacity restriction and quantitative limitation is held in storage; The restriction of fertilising and irrigation project; Agricultural chemicals, chemical fertilizer, nitrate and other chemicals are on the constrained of the impact of environment; The constraint of production risk; The constraint of liquidity risk; The constraint of the market risk.
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| CN105809351A (en) * | 2016-03-11 | 2016-07-27 | 宿州同创机械设备有限公司 | Agricultural ecological data management system |
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| CN107219827A (en) * | 2017-05-02 | 2017-09-29 | 华中农业大学 | The full industrial chain information system of rice food, method for building up and application |
| CN107315720A (en) * | 2017-05-27 | 2017-11-03 | 合肥工业大学 | Stem of noble dendrobium ecological factor multiple linear regression analysis method based on technology of Internet of things |
| CN108829165A (en) * | 2018-08-22 | 2018-11-16 | 河南牧业经济学院 | A kind of reading intelligent agriculture Internet of things system |
| WO2018232845A1 (en) * | 2017-06-23 | 2018-12-27 | 深圳市盛路物联通讯技术有限公司 | Smart agriculture management method and system |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090076632A1 (en) * | 2007-09-18 | 2009-03-19 | Groundswell Technologies, Inc. | Integrated resource monitoring system with interactive logic control |
| CN203773309U (en) * | 2014-01-21 | 2014-08-13 | 北京华信创通科技有限公司 | Internet of Things system for agriculture |
| CN204440130U (en) * | 2015-01-09 | 2015-07-01 | 河南慧之盟电子科技有限公司 | A kind of Agricultural Intelligent System management system based on agriculture technology of Internet of things |
| CN104766153A (en) * | 2015-02-03 | 2015-07-08 | 中国科学院合肥物质科学研究院 | Agricultural things-internet platform architecture |
| CN104852989A (en) * | 2015-05-29 | 2015-08-19 | 北京东方海岸物联网科技有限责任公司 | A smart agriculture monitoring system based on Web of Things |
-
2015
- 2015-09-25 CN CN201510619678.2A patent/CN105260791A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090076632A1 (en) * | 2007-09-18 | 2009-03-19 | Groundswell Technologies, Inc. | Integrated resource monitoring system with interactive logic control |
| CN203773309U (en) * | 2014-01-21 | 2014-08-13 | 北京华信创通科技有限公司 | Internet of Things system for agriculture |
| CN204440130U (en) * | 2015-01-09 | 2015-07-01 | 河南慧之盟电子科技有限公司 | A kind of Agricultural Intelligent System management system based on agriculture technology of Internet of things |
| CN104766153A (en) * | 2015-02-03 | 2015-07-08 | 中国科学院合肥物质科学研究院 | Agricultural things-internet platform architecture |
| CN104852989A (en) * | 2015-05-29 | 2015-08-19 | 北京东方海岸物联网科技有限责任公司 | A smart agriculture monitoring system based on Web of Things |
Non-Patent Citations (1)
| Title |
|---|
| 施文: "基于遗传算法的农作物生产计划优化研究", 《中国优秀博硕士学位论文全文数据库（硕士） 经济与管理科学辑》 * |
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| CN105809351A (en) * | 2016-03-11 | 2016-07-27 | 宿州同创机械设备有限公司 | Agricultural ecological data management system |
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