CN114187030A - Agricultural product production and marketing service comprehensive information generation method and system based on big data - Google Patents
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Abstract
The invention provides a big data-based agricultural product production and marketing service comprehensive information generation method and a big data-based agricultural product production and marketing service comprehensive information generation system, which comprise the following steps: s1, acquiring demand data of agricultural products; s2, acquiring attribute data, planting data, processing data and transaction data of agricultural products according to the agricultural product demand data; s3, acquiring attribute data, planting data, processing data and transaction data of corresponding agricultural products according to the demand data of the agricultural products, storing the attribute data, the planting data, the processing data and the transaction data to a cloud server, analyzing and comparing the attribute data, the planting data, the processing data and the transaction data, and acquiring comprehensive information of agricultural product production and marketing services; and S4, sending the agricultural product production and marketing service comprehensive information to a service platform and a terminal. The agricultural product production and marketing service comprehensive information provided by the method and the system is used for coordinating the development of the industrial chain of agricultural business interconnection, realizes the integration of three products, the interconnection of agricultural business and multiple places, and fundamentally solves the problems of stable employment in rural areas and stable market of agriculture.
Description
Technical Field
The invention relates to the technical field of information, in particular to a big data-based agricultural product production and marketing service comprehensive information generation method and system.
Background
In the process of producing and selling agricultural products, the three problems of what to plant, what to plant and what to sell are puzzled to farmers to develop agricultural production. Taking the fourth staple food grain potato in China as an example, on the problem of ' who sells for ' the fourth staple food grain potato, the problem of ' who ' supplies ' what product ' needs to be solved first, and the agricultural products are forced to be subjected to sorting, packaging, storing, logistics, tracing and trading according to ' who ' requirements ', so that the trading standardization of the agricultural products is realized; potatoes with different starch and dry matter contents, different types, specifications and qualities are respectively supplied to processing enterprises, farmer and trade business, group diet, individual customization, high-end members and other channels through different transaction channels;
on the problem of 'how to plant', natural conditions such as soil, moisture, frost-free period and the like in a planting area and consumption requirements of a radiation market are solved, a suitable variety is selected, large-scale, mechanical and intelligent planting is carried out according to unified 'standardized planting standards' in different areas, the consistency of quality is guaranteed, the commodity of agricultural products is improved, and the agricultural product planting standardization is realized;
on the 'planting' problem, the potato planting scale, the potato variety and the like in different areas are determined by utilizing big data information according to the planting scale, the processing capacity scale, the fresh food consumption scale of the potato market and regular fluctuation in industrial development, and the continuation and the stability of the agricultural product market are realized under the strategic thinking of 'big plan and small market'.
Therefore, it is urgent to establish an agricultural product antenatal, midnatal and postpartum information service system mainly based on the internet + big data.
Disclosure of Invention
In order to overcome the problems in the related technology at least to a certain extent, the application provides a method and a system for generating agricultural product production and marketing service comprehensive information based on big data.
The purpose of the invention is realized by adopting the following technical scheme:
a big data-based agricultural product production and marketing service comprehensive information generation method comprises the following steps:
s1, acquiring demand data of agricultural products;
s2, acquiring attribute data, planting data, processing data and transaction data of agricultural products according to the agricultural product demand data;
s3, acquiring attribute data, planting data, processing data and transaction data of corresponding agricultural products according to the demand data of the agricultural products, storing the attribute data, the planting data, the processing data and the transaction data to a cloud server, analyzing and comparing the attribute data, the planting data, the processing data and the transaction data, and acquiring comprehensive information of agricultural product production and marketing services;
and S4, sending the agricultural product production and marketing service comprehensive information to a service platform and a terminal.
In the present invention, the service platform includes: the system comprises at least one of a big data information platform, an electronic commerce transaction platform, a supply chain financial service platform and an internet of things logistics platform.
In the present invention, the terminal includes: at least one of a cell phone, a computer, a tablet, a display, or a large screen.
In the present invention, the demand data of the agricultural product includes: the type, variety, quality and quantity of agricultural products.
Further, the attribute data of the agricultural product comprises: name, type, substance content, specification and quality of the agricultural product;
the planting data of the agricultural product comprises: soil, moisture, frost-free period of the agricultural product planting area, agricultural product planting specification and planting mechanical equipment;
the processing data for the agricultural product comprises: the eating mode, processing requirement, processing capacity, storage, sorting and packaging of agricultural products;
the transaction data for the agricultural commodity includes: sales channels, prices, logistics, traceability, secure transactions, financial loans.
The service platform comprises a data collection unit, a data analysis unit and an early warning unit, wherein the data collection unit acquires the agricultural product production and marketing service comprehensive information sent by the cloud server, the data analysis unit is used for analyzing and processing the agricultural product production and marketing service comprehensive information collected by the data collection unit, the early warning unit judges the agricultural product production and marketing service comprehensive information result obtained by analyzing and processing by the data analysis unit, and if the agricultural product production and marketing service comprehensive information result does not meet the requirement, the early warning unit gives an early warning to both transaction parties.
Further, financial service mode information, supply chain service mode information, in-production service mode information and sales mode information are obtained according to the agricultural product production and marketing service comprehensive information.
Furthermore, the financial service mode information, the supply chain service mode information and the sales mode information are obtained from transaction data of agricultural products, the financial service mode information obtains financial loan information of the agricultural products, the supply chain service mode information obtains logistics and traceability information of the agricultural products, and the sales mode information obtains sales channels, prices and safe transaction information of the agricultural products; the in-production service mode information is obtained from attribute data, planting data and processing data of agricultural products.
Furthermore, the processing data also comprises warehouse data for storing agricultural products, and the warehouse data comprises temperature and humidity information, oxygen detection information and carbon dioxide detection information of a warehouse; the transaction data also comprises logistics information and demand information of both buyers and sellers, wherein the logistics information is intelligently matched with agricultural products and vehicles through the demand of a shipper, the vehicle in-transit information is detected in real time, and the collected information is displayed to both buyers and sellers; matching the seller or buyer through the requirement information of the buyer and the seller, bargaining and producing the order.
The invention also provides a big data-based agricultural product production and marketing service comprehensive information generation system, which comprises:
the demand acquisition module is used for acquiring demand data of agricultural products;
the data generation module is used for obtaining attribute data, planting data, processing data and transaction data of the agricultural products according to the agricultural product demand data;
the cloud server is used for acquiring and storing a plurality of agricultural product demand data, agricultural product attribute data, planting data, processing data and transaction data, analyzing and comparing the agricultural product demand data, the agricultural product attribute data, the planting data, the processing data and the transaction data, and finally acquiring agricultural product production and marketing service comprehensive information;
and the communication control module is used for sending the agricultural product production and marketing service comprehensive information to a service platform and a terminal.
Compared with the prior art, the technical scheme provided by the invention has the following excellent effects:
the method and the system of the invention take agricultural product (potato) industrial entity + double creation (mass creation, mass innovation) four crowds (mass creation, mass crowdsourcing, mass support, mass funding) + investment + science and technology + education training and the like as high points to establish a production big data information platform, an electronic commerce transaction platform, a supply chain financial service platform and a physical connection logistics platform.
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For the purposes of the foregoing and related ends, the following description and the annexed drawings set forth in detail certain illustrative aspects and are indicative of but a few of the various ways in which the principles of the various embodiments may be employed. Other benefits and novel features will become apparent from the following detailed description when considered in conjunction with the drawings and the disclosed embodiments are intended to include all such aspects and their equivalents.
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.
FIG. 1 is a schematic diagram of a production and marketing service comprehensive information generation method for agricultural products based on big data provided by the invention;
FIG. 2 is a schematic diagram of a production and marketing service comprehensive information generation system for agricultural products based on big data provided by the invention.
Detailed Description
The following describes embodiments of the present invention in further detail with reference to the accompanying drawings.
The following description and the drawings sufficiently illustrate specific embodiments of the invention to enable those skilled in the art to practice them. Other embodiments may incorporate structural, logical, electrical, process, and other changes. The examples merely typify possible variations. Individual components and functions are optional unless explicitly required, and the sequence of operations may vary. Portions and features of embodiments may be included in or substituted for those of other embodiments. The scope of embodiments of the invention encompasses the full ambit of the claims, as well as all available equivalents of the claims. Embodiments of the invention may be referred to herein, individually or collectively, by the term "invention" merely for convenience and without intending to voluntarily limit the scope of this application to any single invention or inventive concept if more than one is in fact disclosed.
Fig. 1 shows a method for generating agricultural product marketing service comprehensive information based on big data, which comprises the following steps:
s1, acquiring demand data of agricultural products; wherein the demand data includes: the type, variety, quality and quantity of agricultural products.
S2, acquiring attribute data, planting data, processing data and transaction data of agricultural products according to the agricultural product demand data; wherein the attribute data includes: name, type, substance content, specification and quality of the agricultural product; the planting data comprises: soil, moisture, frost-free period of the agricultural product planting area, agricultural product planting specification and planting mechanical equipment; the processing data includes: the eating mode, processing requirement, processing capacity, storage, sorting and packaging of agricultural products; the transaction data includes: sales channels, prices, logistics, traceability, secure transactions, financial loans.
S3, acquiring attribute data, planting data, processing data and transaction data of corresponding agricultural products according to the demand data of the agricultural products, storing the attribute data, the planting data, the processing data and the transaction data to a cloud server, analyzing and comparing the attribute data, the planting data, the processing data and the transaction data, and acquiring comprehensive information of agricultural product production and marketing services;
and S4, sending the agricultural product production and marketing service comprehensive information to a service platform and a terminal.
Wherein, the service platform includes: big data information platform, electronic commerce transaction platform, supply chain financial service platform and thing allies oneself with logistics platform in at least one platform, the terminal includes: at least one of a mobile phone, a computer, a panel, a display or a large screen is used for displaying the production and marketing service comprehensive information of the agricultural products.
Specifically, the service platform comprises a data collection unit, a data analysis unit and an early warning unit, the data collection unit acquires the agricultural product production and marketing service comprehensive information sent by the cloud server, the data analysis unit is used for analyzing and processing the agricultural product production and marketing service comprehensive information collected by the data collection unit, the early warning unit judges the agricultural product production and marketing service comprehensive information result obtained by analyzing and processing the data analysis unit, and if the agricultural product production and marketing service comprehensive information result does not meet the requirement, early warning is conducted on both sides of a transaction.
Financial service mode information, supply chain service mode information, in-production service mode information and sales mode information can be obtained according to the agricultural product production and marketing service comprehensive information.
Financial service mode information, supply chain service mode information and sales mode information are obtained from transaction data of agricultural products, the financial service mode information obtains financial loan information of the agricultural products, the supply chain service mode information obtains logistics and traceability information of the agricultural products, and the sales mode information obtains sales channels, prices and safe transaction information of the agricultural products; the in-production service mode information is obtained from the attribute data, planting data and processing data of agricultural products.
Furthermore, the processing data also comprises warehouse data used for storing agricultural products, the warehouse data comprises temperature and humidity information, oxygen detection information and carbon dioxide detection information of the warehouse so as to judge whether the temperature and humidity, the oxygen content or the carbon dioxide in the warehouse meet related regulation requirements, and if the temperature and humidity, the oxygen content or the carbon dioxide do not meet the related requirements, the processing data can be used for carrying out early warning on buyers and sellers through an early warning system to play a warning role; the transaction data also comprises logistics information and demand information of both buyers and sellers, wherein the logistics information is intelligently matched with agricultural products and vehicles through the demand of a shipper, the vehicle in-transit information is detected in real time, and the collected information is displayed to both buyers and sellers; matching the seller or buyer through the requirement information of the buyer and the seller, bargaining and producing the order.
In addition, the above agricultural product marketing service integrated information generating system based on big data includes:
the demand acquisition module is used for acquiring demand data of agricultural products;
the data generation module is used for obtaining attribute data, planting data, processing data and transaction data of the agricultural products according to the agricultural product demand data;
the cloud server is used for acquiring and storing a plurality of agricultural product demand data, agricultural product attribute data, planting data, processing data and transaction data, analyzing and comparing the agricultural product demand data, the agricultural product attribute data, the planting data, the processing data and the transaction data, and finally acquiring agricultural product production and marketing service comprehensive information;
and the communication control module is used for sending the agricultural product production and marketing service comprehensive information to a service platform and a terminal.
Taking the potato industry as an example, the agricultural product demand data is mainly provided by a buyer, and corresponding data information is obtained through a demand acquisition module; the attribute data, planting data, processing data and transaction data of the agricultural products are mainly provided through 6 large platforms, and the data comprise a planting system, a processing system, a storage system, a logistics system, a traceability system and a transaction platform.
The planting system is generally built and deployed to a planting user side, a user can associate potato planting plots with a field management process, the situations that field management is not recorded and is lost are avoided, corresponding planting data are generated through the data generation module, overall planning is carried out on planting in the next year according to the data, intelligent analysis of the system is carried out through the cloud server and the service platform, various expense costs (medication cost, fertilization cost and the like) are reduced, the yield is increased, and profits are increased. Meanwhile, local relevant departments can also count and look up the planting condition of the area at any time, one-key counting is truly carried out according to the planting data of the planting system, the working cost and the workload of the relevant departments are reduced, inaccurate factors such as artificial estimation and the like are eliminated, the authenticity of data counting results of the relevant departments is increased, and high-dimensional unified regulation and control of local potato planting can be realized.
The processing system is generally arranged in a processing workshop of agricultural products, processing data information in the processing workshop is acquired through the data generation module, efficiency can be effectively balanced, raw materials are selected preferentially, high-quality raw materials which are stable for a long time are provided for processing enterprises, the factory strength of the processing enterprises is saturated, and the profits of the processing enterprises are increased.
The establishment of the warehouse system can provide an all-directional warehouse management process for warehouse management work, warehouse management personnel manage the warehouse according to the system process, record data and upload the data to the data generation module to produce corresponding data information; in addition, the warehousing system supports the warehousing goods risk prevention and control function, intelligently analyzes the warehousing potato risk by utilizing the interaction of the planting system data, can issue warehouse demand information according to the residual capacity of the warehouse, and provides a humanized computer side (PC) handheld terminal interaction interface for the system, thereby providing an excellent auxiliary means for warehouse management work.
The logistics system can generate demand data through the demand acquisition module according to actual demands of users, then the demand data are fed back to the data generation module, attribute data, planting data, processing data and transaction data of corresponding potatoes are generated, the data information is sent to the service platform, after data processing and analysis of the service platform, goods and vehicles are intelligently matched, goods are scientifically distributed for logistics end users, logistics cost is reduced for potato farmers, the empty rate is reduced, logistics resources are saved, and benefits are maximized.
The traceability system acquires complete and clear original planting data through the cloud server, utilizes the analysis of the service platform to generate a visual planting process from the original planting data, generates a traceability two-dimensional code (electronic and paper) from the process, and finally enables the potatoes to be sold in an online mode and an offline mode along with the traceability two-dimensional code with the visual planting process. Meanwhile, the processing data, the transaction data and the like of the potatoes are also acquired by adopting the principle, so that the whole production and circulation process of the agricultural products is observed by visual tracing two-dimensional code information.
The trading platform adopts a B/S architecture mode (webpage login) to log in, a seller can release commodity information (hang-sell) on the platform on an information chain, and a buyer can negotiate with a seller to generate an order when inquiring the intentional commodity information (checking the hang-sell information); the buyer can release a purchase demand (on-hook purchase) on the platform, and the seller inquires the intentional demand information (checks on-hook purchase information), and can negotiate with the buyer to generate an order; if the buyer and the seller release the on-purchase and on-sale information on the platform, the system automatically matches the two parties, and if any party confirms after matching, bargaining can be carried out and an order is generated.
The technical scheme provided by the invention has the following excellent effects: by taking agricultural product (potato) industrial entity + double creation (mass creation, mass innovation) four crowds (mass creation, crowdsourcing, mass support, mass raising) + investment + science and technology + education training and the like as high points, a production big data information platform, an electronic commerce transaction platform, a supply chain financial service platform and a physical connection logistics platform are established.
In the foregoing detailed description, various features are grouped together in a single embodiment for the purpose of streamlining the disclosure. This method of disclosure is not to be interpreted as reflecting an intention that the claimed embodiments of the subject matter require more features than are expressly recited in each claim. Rather, as the following claims reflect, invention lies in less than all features of a single disclosed embodiment. Thus, the following claims are hereby expressly incorporated into the detailed description, with each claim standing on its own as a separate preferred embodiment of the invention.
Finally, it should be noted that: although the present invention has been described in detail with reference to the above embodiments, those skilled in the art can make modifications and equivalents to the embodiments of the present invention without departing from the spirit and scope of the present invention, which is set forth in the claims of the present application.
Claims (10)
1. A big data-based agricultural product production and marketing service comprehensive information generation method is characterized by comprising the following steps:
s1, acquiring demand data of agricultural products;
s2, acquiring attribute data, planting data, processing data and transaction data of agricultural products according to the agricultural product demand data;
s3, acquiring attribute data, planting data, processing data and transaction data of corresponding agricultural products according to the demand data of the agricultural products, storing the attribute data, the planting data, the processing data and the transaction data to a cloud server, analyzing and comparing the attribute data, the planting data, the processing data and the transaction data, and acquiring comprehensive information of agricultural product production and marketing services;
and S4, sending the agricultural product production and marketing service comprehensive information to a service platform and a terminal.
2. The method of claim 1, wherein the service platform comprises: the system comprises at least one of a big data information platform, an electronic commerce transaction platform, a supply chain financial service platform and an internet of things logistics platform.
3. The method of claim 1, wherein the terminal comprises: at least one of a cell phone, a computer, a tablet, a display, or a large screen.
4. The method of claim 1, wherein the demand data for the agricultural product comprises: the type, variety, quality and quantity of agricultural products.
5. The method of claim 1,
the attribute data of the agricultural product comprises: name, type, substance content, specification and quality of the agricultural product;
the planting data of the agricultural product comprises: soil, moisture, frost-free period of the agricultural product planting area, agricultural product planting specification and planting mechanical equipment;
the processing data for the agricultural product comprises: the eating mode, processing requirement, processing capacity, storage, sorting and packaging of agricultural products;
the transaction data for the agricultural commodity includes: sales channels, prices, logistics, traceability, secure transactions, financial loans.
6. The method according to claim 1, wherein the service platform comprises a data collection unit, a data analysis unit and an early warning unit, the data collection unit obtains the agricultural product production and marketing service comprehensive information sent by the cloud server, the data analysis unit is used for analyzing and processing the agricultural product production and marketing service comprehensive information collected by the data collection unit, the early warning unit judges the agricultural product production and marketing service comprehensive information result obtained by analyzing and processing by the data analysis unit, and if the agricultural product production and marketing service comprehensive information result does not meet the requirement, the early warning unit gives an early warning to both transaction parties.
7. The method of claim 6, wherein financial service mode information, supply chain service mode information, in-production service mode information, sales mode information are obtained from the agricultural product production and marketing service integrated information.
8. The method of claim 7, wherein the financial service mode information, the supply chain service mode information and the sales mode information are obtained from transaction data of the agricultural product, the financial service mode information obtains financial loan information of the agricultural product, the supply chain service mode information obtains logistics and traceability information of the agricultural product, and the sales mode information obtains sales channel, price and safe transaction information of the agricultural product; the in-production service mode information is obtained from attribute data, planting data and processing data of agricultural products.
9. The method of claim 8, wherein the processing data further comprises warehouse data for storing the agricultural product, the warehouse data comprising temperature and humidity information, oxygen detection information, carbon dioxide detection information of a warehouse; the transaction data also comprises logistics information and demand information of both buyers and sellers, wherein the logistics information is intelligently matched with agricultural products and vehicles through the demand of a shipper, the vehicle in-transit information is detected in real time, and the collected information is displayed to both buyers and sellers; matching the seller or buyer through the requirement information of the buyer and the seller, bargaining and producing the order.
10. A big data-based agricultural product production and marketing service comprehensive information generation system is characterized by comprising:
the demand acquisition module is used for acquiring demand data of agricultural products;
the data generation module is used for obtaining attribute data, planting data, processing data and transaction data of the agricultural products according to the agricultural product demand data;
the cloud server is used for acquiring and storing a plurality of agricultural product demand data, agricultural product attribute data, planting data, processing data and transaction data, analyzing and comparing the agricultural product demand data, the agricultural product attribute data, the planting data, the processing data and the transaction data, and finally acquiring agricultural product production and marketing service comprehensive information;
and the communication control module is used for sending the agricultural product production and marketing service comprehensive information to a service platform and a terminal.
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