CN113947344A - Ecological cycle agriculture whole industry chain management system and method - Google Patents
Ecological cycle agriculture whole industry chain management system and method Download PDFInfo
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Abstract
The invention provides a system and a method for managing an ecological cycle agriculture whole industry chain, wherein the system for managing the ecological cycle agriculture whole industry chain comprises the following steps: the data acquisition module is used for acquiring crop parameters, geographical positions, soil and meteorological data of the agricultural production and operation main body; the operation data module provides operation data for the agricultural production operation main body based on the standard data and the crop parameters, the geographical position, the soil and the meteorological data of the agricultural production operation main body; the service module provides services for the agricultural production main operator based on crop parameters, geographical positions, soil and meteorological data of the agricultural production main operator; the quality management module generates and stores operation data, quality control data and quality control data of the agricultural production operation main body based on crop parameters, geographical positions, soil and meteorological data of the agricultural production operation main body and service data provided by the service module for the agricultural production operation main body. The system can establish a service system with agricultural full-factor, full-flow and multi-aspect cooperation.
Description
Technical Field
The invention relates to the technical field of agricultural digital management, in particular to an ecological cycle agriculture full-industry chain management system and method.
Background
In the agricultural production process, the quality problem of agricultural products is prominent and the pesticide residue exceeds the standard seriously due to the overuse of pesticide; due to the excessive use of the chemical fertilizer, the quality of cultivated land is seriously reduced; cultivated land soil and water are polluted by pesticides, chemical fertilizers and heavy metal non-point sources, and air is polluted by nitrogen oxides generated in agricultural production and pesticide volatile gases. Because farmers generally do not have the capability of identifying the authenticity of agricultural materials, the farmers are often pitted by fake and fake agricultural material distributors; meanwhile, farmers also lack standardized planting technology, and produced agricultural products cannot meet the requirements of green safety, so that the agricultural products cannot be sold at a good price and even are lost.
The development of digital agriculture is a necessary way for agricultural high-quality development, the digital agriculture is an agricultural digital new economy which takes agricultural technology as a key production element, takes modern data technology and internet as important carriers, and takes effective use of the data technology as an important driving force for efficiency improvement and economic structure optimization, and in the whole process of agricultural production, the construction of a collaborative service system for agricultural full-element, full-flow integration and digitization is realized, and an agricultural ecological value chain of symbiosis, sharing and collaborative development is constructed, so that the purposes of improving the cultivated land soil quality, improving the utilization rate of agricultural production resources, reducing the production cost, improving the production efficiency and the quality of agricultural products, improving the ecological environment and promoting the agricultural high-quality development are achieved. Therefore, it is necessary to establish an ecological cycle agriculture-oriented industrial chain management system and method.
Disclosure of Invention
Objects of the invention
The invention aims to provide an ecological cycle agriculture whole industry chain management system and method capable of establishing an agriculture whole element, whole flow and multi-aspect synergetic service system.
(II) technical scheme
In order to solve the above problems, a first aspect of the present invention provides an eco-cycle agricultural all-industry chain management system, including: the data acquisition module is used for acquiring crop parameters, geographical positions, soil and meteorological data of the agricultural production and operation main body; the operation data module is used for providing operation data for the agricultural production main operator based on standard data and crop parameters, geographical positions, soil and meteorological data of the agricultural production main operator; the service module is used for providing services for the agricultural production main operator based on the crop parameters, the geographic position, the soil and the meteorological data of the agricultural production main operator; and the quality management module is used for generating and storing the operation data, the quality control data and the quality control data of the agricultural production operation main body based on the crop parameters, the geographic position, the soil and the meteorological data of the agricultural production operation main body and the service data provided by the service module for the agricultural production operation main body.
Further, the data acquisition module comprises: the crop profiling module is used for acquiring crop parameters of an agricultural production operation main body; the geographic information module is used for acquiring the geographic position data of the agricultural production and management main body and the elevation and topographic and geomorphic data of the planting area; the soil monitoring module is used for acquiring soil monitoring data of the planting area; the meteorological monitoring module is used for acquiring meteorological data of a planting area; and the pest and disease damage detecting and reporting module is used for acquiring pest and disease damage data.
Further, the job data module includes: the crop planting technology standard database module is used for storing and reading the standard data; the disease and pest early warning module is used for providing disease and pest early warning information and prevention and control decision data for the agricultural production operation main body based on the disease and pest damage data and the crop parameters of the agricultural production operation main body; the digital ecological plant protection module is used for providing a control scheme for different plant diseases and insect pests of different crops in different periods to the agricultural production management main body based on the plant disease and insect pest data and the crop growth data; the unified control command module is used for uniformly allocating pest control resources to carry out unified control according to the pest control requirements of the planting area; the unmanned aerial vehicle flight prevention module is used for acquiring the plant diseases and insect pests and crop growth image data and spraying plant disease and insect pest prevention and control agents according to the plant disease and insect pest prevention and control requirements of the planting area; and the expert remote diagnosis module is used for providing an implementation scheme of crop cultivation, nutrition and pest control for the agricultural production operation main body according to the difficult and complicated problems proposed by the agricultural production operation main body.
Further, the service module includes: the agricultural quality management and transaction module is used for acquiring agricultural quality parameters and transaction data; the digital detection module is used for detecting the agricultural production area environment, the input products and the output products and acquiring detection data; the digital authentication module is used for performing authentication service on agricultural products and agricultural production data of an agricultural production operation main body to obtain authentication data; the digital agricultural product sale module is used for providing an online and offline integrated transaction service platform for an agricultural product production and operation main body; and the digital warehouse logistics management module is used for providing warehousing and logistics services for the agricultural product production and operation main body and acquiring warehouse logistics data.
Further, the quality management module comprises: the crop health management module is used for storing crop data of an agricultural production operation main body and the operation data; the agricultural product quality control database module is used for storing quality control data including agricultural product pre-production and in-production management; and the agricultural product quality control database module is used for storing the quality control data including the postpartum harvesting, processing, packaging, storing, transporting and selling of the agricultural products.
Further, the weather monitoring module is also used for providing drought, waterlogging, wind damage, hail and low temperature forecast information.
Further, still include: and the digital resource recycling module is used for providing a crop resource recycling scheme and acquiring resource recycling data.
Further, still include: the water-fertilizer-pesticide integrated irrigation module is used for executing tasks including irrigation, fertilization and/or pesticide application and storing corresponding operation data.
Further, still include: and the block chain tracing module is used for storing all the data acquired and generated in the management system.
According to another aspect of the present invention, there is provided an eco-cycle agricultural all-industry chain management method, comprising: acquiring crop parameters, geographical positions, soil and meteorological data of an agricultural production operation main body; obtaining, by the agricultural production operator, job data based on standard data and crop parameters, geographic location, soil, and meteorological data of the agricultural production operator; selecting a third party service by the agricultural production business entity based on the crop parameters, geographic location, soil and meteorological data of the agricultural production business entity; and based on the crop parameters, the geographic position, the soil and the meteorological data of the agricultural production operation main body and the service data provided by the service module for the agricultural production operation main body, the agricultural production operation main body acquires the operation data, the quality control data and the quality control data.
(III) advantageous effects
The technical scheme of the invention has the following beneficial technical effects:
the agricultural whole-industry chain digital management system and method can realize the digital management of the whole planting process of the agricultural planting technology, such as digitalization and standardization, environment quality detection, farmland soil quality improvement, production input quality management, irrigation, fertilization, pest control and the like, the cyclic utilization digital management of agricultural waste resources, the agricultural product quality control and the traceability data digital management.
Drawings
FIG. 1 is a schematic structural diagram of an eco-cycle agricultural full-industry chain management system according to the present invention;
FIG. 2 is a flow chart of the method for managing the ecological cycle agriculture whole industry chain.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings in conjunction with the following detailed description. It should be understood that the description is intended to be exemplary only, and is not intended to limit the scope of the present invention. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present invention.
In the drawings a schematic view of a layer structure according to an embodiment of the invention is shown. The figures are not drawn to scale, wherein certain details are exaggerated and possibly omitted for clarity. The shapes of various regions, layers, and relative sizes and positional relationships therebetween shown in the drawings are merely exemplary, and deviations may occur in practice due to manufacturing tolerances or technical limitations, and a person skilled in the art may additionally design regions/layers having different shapes, sizes, relative positions, as actually required.
It is to be understood that the embodiments described are only a few embodiments of the present invention, 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 invention.
In addition, the technical features involved in the different embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
The invention will be described in more detail below with reference to the accompanying drawings. Like elements in the various figures are denoted by like reference numerals. For purposes of clarity, the various features in the drawings are not necessarily drawn to scale.
Fig. 1 is a schematic structural diagram of an ecological cycle agriculture whole industry chain management system of the invention.
In a first embodiment of the present invention, as shown in fig. 1, an eco-cycle agricultural all-industry chain management system is provided, which includes a data acquisition module, a job data module, a service module, and a quality management module. The operation data module provides operation data for the agricultural production operation main body based on the standard data and the crop parameters, the geographical position, the soil and the meteorological data of the agricultural production operation main body; the service module provides services for the agricultural production main operator based on crop parameters, geographical positions, soil and meteorological data of the agricultural production main operator; the quality management module generates and stores operation data, quality control data and quality control data of the agricultural production operation main body based on crop parameters, geographical positions, soil and meteorological data of the agricultural production operation main body and service data provided by the service module for the agricultural production operation main body.
Specifically, the data acquisition module mainly acquires data through a terminal (such as a website of a PC (personal computer) terminal and an APP (application) of a mobile terminal), soil, a meteorological sensor, water and fertilizer integrated irrigation equipment and video monitoring equipment.
In some embodiments, the data acquisition module mainly comprises a crop profiling module, a geographic information module, a soil monitoring module, a meteorological monitoring module and a pest and disease early warning module. The crop profiling module is used for acquiring crop parameters of an agricultural production operation main body; the geographic information module is used for acquiring the geographic position data of the agricultural production management main body and the elevation and topographic and geomorphic data of the planting area; the soil monitoring module is used for acquiring soil monitoring data of the planting area; the meteorological monitoring module is used for acquiring meteorological data of a planting area; and the disease and pest early warning module is used for acquiring disease and pest damage data.
Specifically, the crop profiling module is used for collecting information such as crop types, varieties, areas and the like of the agricultural production operation main body.
The geographic information module comprises a geographic information acquisition module, a Beidou positioning module, an altitude measurement module and a landform data acquisition module; the geographic information acquisition module and the Beidou positioning module are mainly used for acquiring the geographic position information of agricultural production operation main bodies such as growers, planting bases, planting enterprises (cooperative society), agricultural material manufacturers, agricultural material distributors, agricultural material store shops, organic fertilizer factories, food processing factories, agricultural product distributors and agricultural product shops in all areas; the elevation measurement module and the landform data acquisition module are mainly used for acquiring data such as elevation, landform and landform of growers, planting bases and planting enterprises (cooperative).
The soil monitoring module comprises a soil data acquisition function module, a data receiving function module, a data display function module, a data analysis function module and a data application function module. The data acquisition function module comprises a data acquisition unit, a wireless data transmission module and a data receiving module, wherein the data acquisition unit is connected with a temperature sensor, a humidity sensor, a pH value sensor (pH value sensor), a salinity (solubility) sensor and an electric conductivity (EC value) sensor, the data acquisition unit transmits data to the data receiving module through the wireless data transmission module, and the data receiving module converts the data into visual data; the data display function module displays the visual data converted by the data receiving module at a user management end in the forms of data, tables, graphs and the like; the data analysis module comprises a data range setting function and an early warning function, the data range setting function is mainly used for setting the ranges of soil humidity, pH value, salinity content and conductivity, and when the soil humidity, pH value, salinity content and conductivity data collected by the sensor are higher or lower than the set ranges, the early warning function module automatically gives an alarm to a user so that the user can timely carry out farming operation treatment; the data application module comprises water and fertilizer integrated management, crop irrigation mathematical model establishment, crop fertilization mathematical model establishment, crop pest intelligent identification function development, crop pest control mathematical model establishment and the like.
The invention can help farmers to utilize land resources more reasonably, improve the production benefit of the existing land resources and improve the ecological quality of the land, thereby realizing the development of high quality and high benefit of modern agriculture.
The meteorological monitoring module comprises a meteorological data acquisition module, a meteorological data recording module and a meteorological disaster early warning module. The meteorological data acquisition module and the meteorological data recording module are mainly used for acquiring and recording real-time meteorological data such as air temperature, rainfall, relative humidity, sunshine hours, wind direction, wind speed, weather conditions, air quality and the like of each region; the meteorological disaster early warning module is used for issuing natural disaster prediction information such as drought, waterlogging, wind disaster, hail, low temperature and the like in each region.
The pest and disease detection and report module is mainly used for collecting data such as disease types, investigation field block numbers, disease field block numbers, investigation areas, disease field areas, investigation plant (leaves and fruits) numbers, disease plant (leaves and fruits) numbers and the like of all crops in each area; collecting data such as pest types, investigation field number, damaged field number, investigation area, damaged area, investigation plant (leaf, fruit) number, damaged plant (leaf, fruit) number and the like of all crops in each area; the pest and disease damage data acquisition mode comprises manual acquisition and input, remote sensing, unmanned aerial vehicle shooting, insect pest situation observation and report lamp monitoring and spore capture instrument monitoring. The data analysis module is mainly used for automatically calculating the disease field rate (%), the disease field area ratio (%), the disease plant (leaf, fruit) rate (%), and the affected field block rate (%), the affected area ratio (%), and the affected plant (leaf, fruit) rate (%). The early warning information issuing module is mainly used for sending the early warning information of the damage of the plant diseases and insect pests to farmers, planting enterprises, planting cooperative agencies, planting bases and planting farms.
In some embodiments, the operation data module comprises a crop planting technical standard database module, a pest and disease early warning module, a digital ecological plant protection module, a unified control and supervision command module, an unmanned aerial vehicle flight prevention module and an expert remote diagnosis module. The crop planting technology standard database module is used for storing and reading standard data; the disease and pest early warning module provides disease and pest early warning information and prevention and control decision data for the agricultural production operation main body based on the disease and pest damage data and the crop parameters of the agricultural production operation main body; the digital ecological plant protection module provides a prevention and control scheme for different plant diseases and insect pests of different crops in different periods to an agricultural production operation main body based on the plant disease and insect pest data and the crop growth data; the unified control command module is used for uniformly allocating pest control resources to carry out unified control according to the pest control requirements of the planting area; the unmanned aerial vehicle flight prevention module acquires the plant diseases and insect pests and crop growth image data, and sprays plant disease and insect pest prevention and control agents according to the plant disease and insect pest prevention and control requirements of the planting area; the expert remote diagnosis module provides an implementation scheme for crop cultivation, nutrition and pest control to the agricultural production operation main body according to the difficult and complicated problems proposed by the agricultural production operation main body.
Specifically, the crop planting technical standard database module comprises: the system comprises functional modules of crop introduction, production place quality control, seedling quality control, growth period management, input quality control, crop nutrition management, cultivation management, ecological prevention and control, plant protection, harvesting management, product quality control, grading control, packaging quality control, storage and transportation quality control, storage logistics, sales quality control and the like.
The crop introduction comprises modules of cultivation varieties, basic knowledge, distribution range, morphological characteristics, biological characteristics, growth environment conditions, internal components and the like; the production area quality control comprises: modules for soil detection, water quality detection, air quality detection, ecological environment detection, production area environment authentication and the like; the seedling quality control comprises the following steps: the module for seedling quarantine, seedling quality and the like; the growth period comprises: the system comprises modules of a crop life cycle, a phenological period and the like, wherein the crop life cycle and the phenological period respectively comprise a plurality of modules according to different crops; the input quality control comprises the following steps: the system comprises modules of biomass returning quantity standard, fertilizer limited application standard, agricultural material harmful substance detection, green biogenesis certification and the like; the crop nutrition comprises the following steps: nitrogen phosphorus potassium demand (data), organic fertilizer (dosage data), trace elements (dosage data) and the like; the cultivation quality control comprises the following steps: the system comprises modules of a base planning standard, a crop reasonable planting standard, a crop growth management standard and the like; the cultivation management comprises the following steps: building garden standard, breeding method, soil management, fertilization management, water management, pruning and shaping, garden cleaning technology, overwintering protection and other modules; the ecological prevention and control comprises: a control principle, ecological management, agricultural control, biological control, physical control, chemical control, pesticide limit standard and the like; plant protection includes: three lists of disease, insect pest, grass damage include a plurality of different lists respectively according to different diseases of crop, insect pest, grass damage, and the disease list includes: the disease name, pathogenic bacteria, the morphological characteristics of the pathogenic bacteria, the disease distribution range, the hazard symptoms, the disease law, the prevention and control method, the species of the hazardous crops and the like, wherein the insect pest list comprises the following contents: insect pest name, classification status, insect pest distribution range, natural enemy type, insect pest morphological characteristics, pest symptoms, occurrence rules, control method, main harmful hosts and the like, wherein the list of the grass pests comprises the following contents: the names of the weeds, the classification status, the morphological characteristics, the hazard characteristics, the utilization value, the propagation and cultivation methods, the prevention and control methods and the like; the harvesting management comprises the following steps: a harvesting method, a harvesting standard and other modules; the product quality control comprises: the quality control standard and the product quality certification module, the quality control standard includes: modules such as agricultural product grading standard, agricultural product quality standard, agricultural product packaging standard, agricultural product fresh-keeping storage standard, agricultural product logistics transportation standard, the agricultural product quality standard includes: the contents of sensory index, physical and chemical index, sanitary index and the like, and the product quality certification comprises the following contents: green authentication, organic authentication, geographical sign authentication, GAP authentication, BRC authentication, HACCP authentication, ISO22000 authentication, and the like; hierarchical management and control includes: modules such as grading standards and grading methods; the packaging quality control comprises: modules for detecting the standard of packaging materials and harmful substances of packaged objects; the quality control of storage and transportation comprises: storage standard, logistics standard and other modules; the warehouse logistics include: storage management, transportation condition, preservation technology, warehouse management, logistics management and other modules; the sale quality control comprises the following steps: standard shelf life, standard shelf life and the like.
The crop planting technical standard database can provide planting households with production area environment quality requirement data, seedling quality requirement data, water requirement rules, fertilizer requirement rules and management key data of crops in each growth period, input product quality requirement data, crop cultivation management specifications, pest and weed identification data, pest and disease ecological prevention and control schemes, and crop grading, packaging, fresh keeping, storage, transportation, sale and other quality control standards and schemes.
The pest and disease early warning module comprises a data analysis module and an early warning information release module. The data analysis module is based on the pest and disease damage data and the crop parameters of the agricultural production operation main body, and the early warning information issuing module provides pest and disease early warning information and prevention and control decision data for the agricultural production operation main body.
The digital ecological plant protection module comprises three modules, namely a disease, pest and weed identification database, a disease, pest and weed control medicament database and a disease, pest and weed control scheme database. The pest and weed identification database comprises a pest and weed character database and an image characteristic database, and is mainly used for intelligently identifying and judging pests and diseases; the disease, pest and weed control medicament library comprises medicament data registered by the state and pesticide data recommended to be used by pests and diseases without medicament registration, and is used for providing medicaments recommended to be used by different pests and diseases on various crops; and the disease, pest and weed control scheme library is used for storing the disease, pest and weed control scheme given by experts.
When the regional emergence of plant diseases and insect pests harm, all prevent and control command module and according to regional plant diseases and insect pests prevention and cure demand, all allocate plant protection manpower resources, unmanned aerial vehicle resource and all prevent and control.
The unmanned aerial vehicle flight prevention module comprises a control terminal, a central control device and an image acquisition module. Control terminal is used for setting up flight area geographic information, flight parameter, the parameter of giving medicine to poor free of charge, and well accuse device is used for controlling unmanned aerial vehicle's flight and the application of medicine, and image acquisition module is used for the user to watch crop growth vigor, disease image, insect pest image that unmanned aerial vehicle image acquisition module shot in real time. The functions of the plant protection unmanned aerial vehicle and the aerial photography unmanned aerial vehicle are fused, field images are aerial photographed while flying to prevent the diseases and pests, and then picture analysis is carried out through an image processing technology, so that the purposes of intelligent pest and disease damage identification and real-time crop growth monitoring are achieved.
The expert remote diagnosis module comprises an inquiry module, a reward answering module and a course learning module. The inquiry module is mainly used for consulting experts in planting households, farmers, breeding agencies, breeding enterprises, breeding bases and breeding farms, wherein the experts can remotely solve technical problems (priced by service providers) in one-to-one, one-to-many and many-to-one ways; the reward answering module is mainly used for issuing reward questions to farmers, culturists, breeding and breeding agencies, breeding enterprises, breeding bases and breeding farms, and enabling experts to answer the reward questions to obtain reward rewards (priced by service demanders); the experts can release teaching and training courses in the forms of pictures, texts, audio, video and live broadcast (service provider pricing), and growers, farmers, breeding agencies, breeding enterprises, base raising and farm raising can remotely learn the teaching and training courses (service demander selective purchasing service). The implementation means is as follows: the expert remote diagnosis, teaching and research system utilizes multimedia, 5G, Internet and other information technologies to communicate.
In some embodiments, the service module mainly comprises an agricultural quality management and transaction module, a digital detection module, a digital authentication module, a digital agricultural product sale module and a digital warehouse logistics management module. The agricultural quality management and transaction module is used for acquiring agricultural quality parameters and transaction data; the digital detection module is used for detecting the agricultural production area environment, the input products and the output products and acquiring detection data; the digital authentication module is used for performing authentication service on agricultural products and agricultural production data of an agricultural production operation main body to obtain authentication data; the digital agricultural product sale module is used for providing an online and offline integrated transaction service platform for an agricultural product production and operation main body; the digital warehouse logistics management module is used for providing warehousing and logistics services for the agricultural product production and operation main body and acquiring warehouse logistics data.
Specifically, the agricultural quality management and transaction module comprises a fertilizer registration database, a pesticide registration database, an agricultural commodity release module, an agricultural commodity quality verification module and an agricultural transaction module. The fertilizer registration database and the pesticide registration database are recorded and updated and maintained by technicians from a management background, and the agricultural commodity publishing module is used for collecting agricultural production information such as agricultural registration names, trade names (trademarks and common names), specifications, models, production dates, validity periods, production places, manufacturers and the like; the agricultural commodity quality verification module is used for digitally verifying certificate information such as a fertilizer registration certificate, a quality inspection qualification certificate (inspection report) and the like, and digitally verifying certificate information such as a pesticide registration certificate, a production license (production unit), an operation license (distributor) and a quality inspection qualification certificate (inspection report) and the like; the agricultural material transaction module is used for recording information such as agricultural material purchasers (individuals or units), transaction time, transaction amount, transaction unit price, used crops and used plots and the like.
The digital detection module comprises a third-party detection mechanism, a platform management center and a user port so as to realize detection of agricultural input products and agricultural output products.
The digital authentication module comprises an agricultural production operator, a platform management system and a third party authentication mechanism. The agricultural production operator refers to agricultural products and agricultural production data providers, and comprises individuals, enterprise operating units and the like.
The platform management system is connected with the agricultural production operator and the third-party certification authority, provides a convenient method for the agricultural production operator to independently select the authority certification authority, and ensures the safety and reliability of agricultural products and production data and an after-sale quality tracking channel; the platform management system comprises an authentication mechanism information input module, an authentication service selection module, an authentication data uploading module, an authentication application online reservation module, a data storage module and a data application analysis module; the certification authority information input module comprises input of certification authority qualification data and service information data, wherein the certification authority qualification is specified or permitted by the national authentication and authorization, and the service information has a certification service range of agricultural products and agricultural production data.
The digital agricultural product sale module is used for providing an online and offline integrated transaction platform for an agricultural product production operator, and an agricultural product purchaser can order the agricultural product online and offline and deliver goods in an express way, and can also order the agricultural product online and offline and take goods from stores.
The digital warehouse logistics management module comprises a central server used for storing and processing data, a merchant client and a user client which are connected with the central server, a warehouse management center and a logistics management center which are connected with the central server, an in-out warehouse scanning module and an environment monitoring module which are connected with the warehouse management center, and a logistics tracking module and a temperature monitoring module which are connected with the logistics management center.
The central server comprises a warehouse information database module, a warehouse matching module, a warehouse database module, a logistics database module, an order database module and a data analysis processing module, wherein the data analysis processing module is respectively connected with the order database module, the warehouse database module and the logistics database module and is used for analyzing and processing data from the three databases and completing data transmission among the three databases.
The warehouse matching module compares the demand data with the data of the warehouse information database module to analyze, and matches a proper warehouse for the merchant to select.
A user purchases commodities through a user client, generated order information is stored in an order database, a data analysis module analyzes and processes order data and then sends the order data to a warehousing management center and a logistics management center respectively, the warehousing management center arranges commodities to be delivered out of a warehouse according to the received order data, and the logistics management center arranges personnel and vehicles to be delivered according to the order data.
The warehouse management center is connected with the warehouse-in and warehouse-out scanning module and the environment monitoring module. The warehouse-in and warehouse-out scanning module comprises a fixed reader-writer and a scanning antenna and is used for reading commodity information and scanning the size of goods when the commodities are in and out of the warehouse, acquiring storage position information before the commodities are out of the warehouse when the commodities are out of the warehouse, and sending the read and scanned information to the warehouse management center. The environment monitoring module comprises a camera, a temperature and humidity monitor, a gas composition monitor, a smoke dust monitor and a pressure sensor, is used for monitoring the warehouse environment and sending monitoring data to the warehouse management center. The warehousing management center sends the received data to the data analysis processing module, and the data analysis processing module analyzes and processes the data and stores the data in the warehousing database.
The logistics management center is connected with the logistics tracking module and the temperature monitoring module. The logistics tracking module comprises a GPS positioning system and is used for acquiring the real-time position information of the distribution vehicle and sending the information to the logistics management center. The temperature monitoring module comprises a temperature monitoring device arranged in the distribution box and used for monitoring the temperature of the distribution box in the transportation process and sending monitoring data to the logistics management center. The logistics management center sends the received data to the data analysis processing module, and the data analysis processing module analyzes and processes the data and then stores the data in the logistics database. Meanwhile, the data analysis processing module also sends the logistics information and the temperature monitoring information to the order database and the warehousing management center, and a user and a merchant can respectively obtain the logistics information and the temperature monitoring information from the order database through a user client and a merchant client and check the logistics information and the temperature monitoring information in real time.
In some embodiments, the quality management module mainly comprises a crop health management module, an agricultural product quality control database module and an agricultural product quality control database module. The crop health management module is used for storing crop data and operation data of the agricultural production operation main body; the agricultural product quality control database module is used for storing quality control data including agricultural product pre-production and in-production management; the agricultural product quality control database module is used for storing quality control data including postpartum harvesting, processing, packaging, storing, transporting and selling of agricultural products.
Specifically, the crop health management module comprises a planting main body filing module and a crop planting management file recording module. The profiling module is used for collecting information such as types, varieties and areas of crops planted by growers, planting cooperative, planting enterprises, planting bases and planting farms. The crop planting management file recording module is used for recording data such as irrigation time, irrigation area and irrigation quantity of the whole crop production process, data such as fertilization types, application quantities, fertilization areas and application time, data such as pest types, pesticide use types, application quantities, prevention and control areas and application time and other farming operation information; and recording the yield data of agricultural products, straws and other wastes.
The agricultural product quality control standard database module comprises an environment data module for producing land soil, air, water and the like, and a farming operation (quality control) data recording module for crop cultivation, irrigation, fertilizer application amount, organic fertilizer application amount, pest control pesticide application amount and the like, and is used for recording all data of the production management quality control process before and during production of agricultural products.
The agricultural product quality control standard database module comprises an agricultural product harvesting, processing, packaging, storing, transporting and selling product control standard data recording module and is used for recording all data of the agricultural product harvesting, processing, packaging, storing, transporting and selling product control processes.
In some embodiments, the weather monitoring module is further configured to provide drought, flood, windstorm, hail, and low temperature forecast information.
In some embodiments, the soil monitoring data includes temperature, humidity, pH, salinity content, and conductivity of the soil; the meteorological data includes air temperature, rainfall, relative humidity, sunshine hours, illumination intensity, wind direction, wind speed, rainfall, evaporation capacity, weather conditions, carbon dioxide concentration and air quality.
In some embodiments, the ecological cycle agriculture full industry chain management system further comprises a digital resource recycling module. The digital resource recycling module is used for providing a crop resource recycling scheme and acquiring resource recycling data.
Specifically, the digital resource recycling module comprises an organic fertilizer production subsystem, a planting subsystem, an aquaculture subsystem and a processing subsystem, wherein the aquaculture subsystem and the planting subsystem are connected with each other, the planting subsystem and the aquaculture subsystem are further connected with an organic fertilizer production subsystem, and the organic fertilizer production subsystem is connected with the aquaculture subsystem through a biogas slurry conveying pipeline. Waste gas such as straws and the like generated by the planting subsystem enters the methane tank as raw materials, excrement generated by the breeding subsystem also enters the methane tank as raw materials to generate methane, grain generated by the planting subsystem is used as feed of animals in the breeding subsystem, and a fishpond in the breeding subsystem enters the planting subsystem and the breeding subsystem as a water source to provide water sources for livestock and grain crops. And finally, the organic fertilizer production subsystem can be used as a fire source to provide clean energy, and can also utilize methane to generate electricity to provide lighting service.
In some embodiments, the ecological cycle agriculture-wide industrial chain management system further comprises a water-fertilizer-pesticide integrated irrigation module. The water-fertilizer-pesticide integrated irrigation module is used for executing at least one task of irrigation, fertilizer application and pesticide application and storing corresponding operation data.
Specifically, the water-fertilizer-pesticide integrated irrigation module comprises a remote control interface, soil moisture content monitoring equipment, a field meteorological monitoring station, a crop moisture demand rule database, a crop nutrient demand rule database, a water-fertilizer-pesticide integrated control system and a field pipeline system. The remote control interface is used for checking environmental data, a water-fertilizer-pesticide integrated irrigation scheme and crop field growth vigor and remotely regulating the water-fertilizer-pesticide integrated irrigation scheme; the environment data acquisition unit is used for acquiring environment parameters; the intelligent data analysis system is used for storing water demand data, nutrient demand data, pest control agent data, soil monitoring data, meteorological monitoring data and pest monitoring data, and outputting a water-fertilizer-pesticide integrated scheme; the water-fertilizer-pesticide integrated control system is used for executing irrigation, fertilizer application, pesticide application, water-fertilizer integration and water-fertilizer-pesticide integrated irrigation schemes.
In some embodiments, the eco-cycle agriculture-wide industry chain management system further comprises a blockchain traceability module. The blockchain source tracing module is used for storing all data acquired and generated in the management system.
The block chain traceability module comprises a producer management unit, a agricultural manufacturer management unit, a warehouse logistics management unit, a third party detection management unit and a traceability data display unit.
The producer management unit comprises an identity label management block, a geographic information management block, a crop file management block, a crop planting management block, a harvesting and processing management block, a third-party detection block, a farming data transaction management block and an agricultural product transaction block.
The agricultural supplier management unit comprises an agricultural information management block, a third party detection block and an agricultural transaction management block.
The warehouse logistics management unit comprises a warehouse management block and a logistics information management block.
The third-party detection management unit comprises an identity label management block, an environment detection data block, a agricultural material detection data block, a packaging material quality detection data block and an agricultural product quality detection data block.
The source tracing data display unit comprises producer identity information, geographical information of a production place, environment detection data, agricultural use data, agricultural detection data, planting process management data, harvesting and processing management data, packaging material quality inspection data, agricultural product quality inspection data, storage management data and logistics information.
The invention can effectively prevent the detection data from being tampered, and can protect the data security to the maximum extent;
the types of the data storage module and the database in the invention mainly comprise a non-relational database, a cache, a file storage, a message queue and the like. The non-relational database mainly stores big data, the relational database mainly stores relational data, the cache mainly improves system performance, the file storage mainly stores files, and the message queue mainly provides an asynchronous communication mechanism.
The geographic information application module provides geographic information data for other modules; the soil monitoring module provides soil monitoring data for the crop health management module and the water, fertilizer and pesticide integrated irrigation module; the weather monitoring module provides weather data for the crop health management module and the water-fertilizer-pesticide integrated irrigation module; the crop planting technology standard database module and the expert remote diagnosis module provide planting technology and standard for growers; the crop health management module records whole-course data of crop planting management and provides data for digital traceability; the agricultural quality management and transaction module ensures the agricultural quality, provides agricultural purchasing data for the digital ecological plant protection module, the unmanned aerial vehicle flying prevention module and the water, fertilizer and pesticide integrated irrigation module, and uses the agricultural purchasing data and the agricultural use data as traceability data; the disease and pest early warning module provides disease and pest prevention and control decision data for the digital ecological plant protection module, the unmanned aerial vehicle flying prevention module and the unified prevention and control command module; the agricultural product quality control database module and the agricultural product quality control database module provide standard data for agricultural product quality control; the digital detection module, the digital authentication module, the digital agricultural product sale module and the digital warehouse logistics management module provide agricultural product traceability data for the traceability system.
The system establishes a crop planting technology, and comprises 4615 pest and disease ecological prevention and control schemes of 203 crops and 2369 crop nutrition schemes, and 1421 agricultural product quality control and quality control standards, wherein the pest and disease ecological prevention and control schemes comprise 4 thousands of data including registration certificate numbers, medicament names, usage amount ranges, maximum usage times, safe interval periods and the like, so that the pest and disease ecological prevention and control schemes can be ensured to be accurate and efficient; when the expert provides a scheme for the grower through the expert remote diagnosis system, the disease and pest ecological prevention and control scheme, the crop nutrition scheme, the agricultural product quality control and quality control standard and the pesticide and fertilizer use data can be called from the crop planting technical standard database, and the expert can correct the scheme according to practical experience to provide a more accurate and reasonable scheme for the grower.
The crop health management module records the whole data of crop planting management by using a block chain technology, the data comprises pesticide and fertilizer use data, the pesticide and fertilizer use data is compared with agricultural material quality management and transaction module agricultural material purchase data and digital ecological plant protection system, water, fertilizer and pesticide integrated irrigation system pesticide and fertilizer use data, the data recorded by a plurality of nodes needs to be unified, and the recorded pesticide and fertilizer use data can be ensured to be accurate, real and reliable.
FIG. 2 is a flow chart of the method for managing the ecological cycle agriculture whole industry chain.
According to another aspect of the present invention, as shown in fig. 2, there is provided an ecological cycle agriculture whole industry chain management method, mainly comprising:
acquiring crop parameters, geographical positions, soil and meteorological data of an agricultural production operation main body;
obtaining, by the agricultural production operator, job data based on standard data and crop parameters, geographic location, soil, and meteorological data of the agricultural production operator;
selecting a third party service by the agricultural production business entity based on the crop parameters, geographic location, soil and meteorological data of the agricultural production business entity;
and based on the crop parameters, the geographic position, the soil and the meteorological data of the agricultural production operation main body and the service data provided by the service module for the agricultural production operation main body, the agricultural production operation main body acquires the operation data, the quality control data and the quality control data.
In the present invention, an ecological cycle agriculture full industrial chain management method corresponds to an ecological cycle agriculture full industrial chain management system one to one, and therefore, description and explanation of an ecological cycle agriculture full industrial chain management method are not repeated.
The invention has been described above with reference to embodiments thereof. However, these examples are for illustrative purposes only and are not intended to limit the scope of the present invention. The scope of the invention is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be devised by those skilled in the art without departing from the scope of the invention, and these alternatives and modifications are intended to be within the scope of the invention.
Claims (10)
1. The utility model provides an ecological cycle agricultural full industrial chain management system which characterized in that includes:
the data acquisition module is used for acquiring crop parameters, geographical positions, soil and meteorological data of the agricultural production and operation main body;
the operation data module is used for providing operation data for the agricultural production main operator based on standard data and crop parameters, geographical positions, soil and meteorological data of the agricultural production main operator;
the service module is used for providing services for the agricultural production main operator based on crop parameters, geographical positions, soil and meteorological data of the agricultural production main operator;
and the quality management module is used for generating and storing the operation data, the quality control data and the quality control data of the agricultural production main operator based on the crop parameters, the geographic position, the soil and the meteorological data of the agricultural production main operator and the service data provided by the service module for the agricultural production main operator.
2. The management system of claim 1, wherein the data acquisition module comprises:
the crop profiling module is used for acquiring crop parameters of an agricultural production operation main body;
the geographic information module is used for acquiring the geographic position data of the agricultural production and management main body and the elevation and topographic and geomorphic data of the planting area;
the soil monitoring module is used for acquiring soil monitoring data of the planting area;
the meteorological monitoring module is used for acquiring meteorological data of a planting area;
and the pest and disease damage detecting and reporting module is used for acquiring pest and disease damage data.
3. The management system according to claim 1 or 2, wherein the job data module includes:
the crop planting technology standard database module is used for storing and reading the standard data;
the disease and pest early warning module is used for providing disease and pest early warning information and prevention and control decision data for the agricultural production operation main body based on the disease and pest damage data and the crop parameters of the agricultural production operation main body;
the digital ecological plant protection module is used for providing a control scheme for different plant diseases and insect pests of different crops in different periods to the agricultural production management main body based on the plant disease and insect pest data and the crop growth data;
the unified control command module is used for uniformly allocating pest control resources to carry out unified control according to the pest control requirements of the planting area;
the unmanned aerial vehicle flight prevention module is used for acquiring the plant diseases and insect pests and crop growth image data and spraying plant disease and insect pest prevention and control agents according to the plant disease and insect pest prevention and control requirements of the planting area;
and the expert remote diagnosis module is used for providing an implementation scheme of crop cultivation, nutrition and pest control for the agricultural production operation main body according to the difficult and complicated problems proposed by the agricultural production operation main body.
4. The management system of claim 1, wherein the service module comprises:
the agricultural quality management and transaction module is used for acquiring agricultural quality parameters and transaction data;
the digital detection module is used for detecting the agricultural production area environment, the input products and the output products and acquiring detection data;
the digital authentication module is used for performing authentication service on agricultural products and agricultural production data of an agricultural production operation main body to obtain authentication data;
the digital agricultural product sale module is used for providing an online and offline integrated transaction service platform for an agricultural product production and operation main body;
and the digital warehouse logistics management module is used for providing warehousing and logistics services for the agricultural product production and operation main body and acquiring warehouse logistics data.
5. The management system of claim 1, wherein the quality management module comprises:
the crop health management module is used for storing crop data of an agricultural production operation main body and the operation data;
the agricultural product quality control database module is used for storing quality control data including agricultural product pre-production and in-production management;
and the agricultural product quality control database module is used for storing the quality control data including the postpartum harvesting, processing, packaging, storing, transporting and selling of the agricultural products.
6. The management system according to claim 2,
the weather monitoring module is also used for providing drought, waterlogging, wind damage, hail and low temperature forecast information.
7. The management system according to claim 1, further comprising:
and the digital resource recycling module is used for providing a crop resource recycling scheme and acquiring resource recycling data.
8. The management system according to claim 1, further comprising:
and the water-fertilizer-pesticide integrated irrigation module is used for executing at least one task of irrigation, fertilizer application and pesticide application and storing corresponding operation data.
9. The management system according to any one of claims 1 to 8, further comprising:
and the block chain tracing module is used for storing all the data acquired and generated in the management system.
10. The ecological cycle agriculture whole industry chain management method is characterized by comprising the following steps:
acquiring crop parameters, geographical positions, soil and meteorological data of an agricultural production operation main body;
obtaining, by the agricultural production operator, job data based on standard data and crop parameters, geographic location, soil, and meteorological data of the agricultural production operator;
selecting a third party service by the agricultural production business entity based on the crop parameters, geographic location, soil and meteorological data of the agricultural production business entity;
and based on the crop parameters, the geographic position, the soil and the meteorological data of the agricultural production operation main body and the service data provided by the service module for the agricultural production operation main body, the agricultural production operation main body acquires the operation data, the quality control data and the quality control data.
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CN116737824A (en) * | 2023-05-05 | 2023-09-12 | 苏州小猫花网络科技有限公司 | Block chain-based data sharing method and system |
CN116957837A (en) * | 2023-07-28 | 2023-10-27 | 安徽龙讯信息科技有限公司 | Digital village platform based on digital twin |
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CN116737824A (en) * | 2023-05-05 | 2023-09-12 | 苏州小猫花网络科技有限公司 | Block chain-based data sharing method and system |
CN116957837A (en) * | 2023-07-28 | 2023-10-27 | 安徽龙讯信息科技有限公司 | Digital village platform based on digital twin |
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