Agricultural product scene-based consumption system based on digital twinning

Abstract

The application discloses a kind of agricultural products scene-based consumption systems based on digital twinning, belong to agricultural products production consumption system technical field, including the following steps: S1: user online registration;S2: system gathers and saves agricultural product information;S3: producer to agricultural product planting area carries out photographing, and the image shot is stored to database background;S4: in agricultural product skin paste two-dimensional code label, and carry out binding and warehousing;S5: producer is directed to the agricultural product of pasting two-dimensional code and carries out scene-based video recording;S6: realize three-dimensional scene modeling after processing by image engine;S7: consumer scans two-dimensional code and reads agricultural product relevant information;S8: consumer carries out evaluation and secondary purchase to producer and his product through platform;S9: agricultural product is scanned and consumed, system automatically summarizes agricultural product after-sales information, and realizes the interaction of producer and consumer through platform.The application provides scene-based consumption mode for consumer, improves the shopping experience of consumer.

Description

Technical Field

[0001] This invention belongs to the technical field of agricultural product production and consumption systems, specifically relating to a scenario-based agricultural product consumption system based on digital twins. Background Technology

[0002] With the development of information technology and the popularization of technologies such as QR code labels, 3D modeling, and digital twins, the digital capabilities of the "last mile" in the production and consumption of agricultural products have the potential to help agricultural product consumption. In recent years, with the promotion of mobile applications, farmers and producers have basically acquired the conditions for digital processing of agricultural products. Using digital twin technology, they can provide consumers with a twin-mode agricultural product planting scenario. On the one hand, this can provide a reliable and intuitive way to trace agricultural products. On the other hand, it can allow consumers to experience the consumption scenario in the mode of producer operation, perceive the quality and reliability of agricultural products in an all-round way, and experience the fun of planting and harvesting. Given the following shortcomings in the current sales of agricultural products: (1) The "last mile" in the production and consumption of agricultural products lacks digital processing, traceability does not involve producers, and farmers have insufficient sense of ownership of agricultural products; (2) Traditional data entry methods are complicated and have a large workload; (3) Consumers lack diverse and personal experiences. Summary of the Invention

[0003] The purpose of this invention is to address the problems existing in the prior art by providing a scenario-based consumption system for agricultural products based on digital twins. This system solves the problems of the existing agricultural product production and consumption model being too simplistic, lacking a realistic digital experience, and the lack of awareness among farmers who are the main responsible parties for the products. It enhances the consumer shopping experience and lays the foundation for building farmers' brand and credit value.

[0004] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0005] A scenario-based consumption system for agricultural products based on digital twins, characterized by the following steps:

[0006] S1: Users register online and are assumed to be consumers by default. They can apply to add the role of agricultural product producer.

[0007] S2: The system automatically collects and saves climate and meteorological information of the location of agricultural producers, and the producers maintain the agricultural product information;

[0008] S3: Producers periodically take photos and videos of agricultural products in the planting area, and the system stores the images in the database backend;

[0009] S4: In the early stages of agricultural product harvesting, self-adhesive QR code labels are affixed to the surface of agricultural products, and the system binds and stores each agricultural product with a unique code.

[0010] S5: After the agricultural product is pasted with the code, the producer focuses on the scenario shooting of the agricultural product pasted with the two-dimensional code label, and the system stores the image;

[0011] S6: The producer selects the photo and video of a single agricultural product, and performs twin scene processing, the system analyzes the picture and image, realizes three-dimensional scene modeling through image engine processing, simultaneously binds the recognized agricultural product in a scenario, simulates the realization of directional picking action, synchronously completes the full-range superposition of the agricultural product photo, and forms the planting and picking scene in a three-dimensional simulation mode; the producer can preview and experience the planting and picking scene of the agricultural product integrated by the system online, or can optimize the scene through secondary video information collection;

[0012] S7: When purchasing the agricultural product, the consumer scans the two-dimensional code of the agricultural product by using a mobile phone, and the system displays the origin, growth cycle, listing time, weather and climate, previous consumption evaluation, and matching degree of intelligent recognition and two-dimensional code binding of the agricultural product;

[0013] S8: The consumer can evaluate the producer and the product through the platform, the system builds an experience e-commerce platform for the consumer, supports the consumer to initiate a secondary purchase request to the producer through the system, and the system supports the producer to directly send goods to the consumer through logistics;

[0014] S9: After the agricultural product is scanned and consumed, the system automatically collects the consumption region, price and evaluation information of the agricultural product, and the producer can comprehensively understand the consumption condition of the agricultural product and can interact with the consumer through the platform.

[0015] The agricultural product information in the step S2 includes but is not limited to the agricultural product variety, growth cycle and regional characteristics.

[0016] Compared with the prior art, the present application has the following beneficial effects:

[0017] The present application realizes the digital integration of the agricultural product production and consumption link based on digital twin, takes three-dimensional simulation as a carrier and takes honest production and consumption as a purpose, traces the agricultural product to the consumption link, builds an experience mode e-commerce platform for the agricultural product producer and consumer, takes the real object as the basis and digital twin as the application, reduces the frequency of agricultural product diversion, improves the consumption quality, lays a foundation for building a differentiated agricultural product consumption platform and a credit system of farmers, realizes the income increase of the agricultural product producer in a multi-channel and differentiated consumption mode. DETAILED DESCRIPTION

[0018] The present application will be described in detail below in combination with specific embodiments, and the illustrative embodiments and the description of the present application are used to explain the present application, but are not used to limit the present application.

[0019] The application discloses a digital-twin-based agricultural product scene-based consumption system, which comprises a two-dimensional code, a digital-twin-based three-dimensional visualization engine, a mobile phone APP, an application server, a database, and the like.

[0020] Specifically, the application comprises the following contents.

[0021] The two-dimensional code is attached to the surface of the agricultural product, is used for binding and storing each agricultural product (single apple, watermelon, orange, pear) in the system, and enables consumers to obtain the related information and images of the agricultural product stored in the database of the system through scanning.

[0022] The digital-twin-based three-dimensional visualization engine is used for realizing three-dimensional scene modeling according to the image information, providing a three-dimensional simulation scene for consumers, enabling the consumers to experience the planting and picking of the agricultural product online, and realizing scene-based consumption.

[0023] The mobile phone APP is used for realizing the registration, scanning, purchase, inquiry and evaluation of the consumers and producers.

[0024] The application server is used for processing, transmitting the image information of the agricultural product, and summarizing, auditing and answering questions of the information of the agricultural product, and realizes the direct connection between the consumers and the producers.

[0025] The database is used for storing and retrieving the related information and images of the corresponding agricultural product.

[0026] The application comprises the following use steps.

[0027] S1: a user registers online, and the user is a consumer by default, and can apply for a new role of an agricultural product producer.

[0028] S2: the system automatically collects and saves the climate and weather information of the place where the agricultural product producer is located, and the producer maintains the information of the variety, growth cycle and regional characteristics of the agricultural product.

[0029] S3: the producer periodically goes to the planting area of the agricultural product to take a photo or a panoramic photo by using a mobile phone or a drone, and the system stores the taken image in the background of the database.

[0030] S4: In the early stage of picking agricultural products, a two-dimensional code label is pasted on the surface of the agricultural product, and the system binds and stores each agricultural product (single apple, watermelon, orange, pear) with "one product one code";

[0031] S5: After completing the pasting of the two-dimensional code label on the agricultural product, the producer focuses on the scene shooting of the agricultural product with the two-dimensional code label, and the system stores the image;

[0032] S6: The producer selects the photo and video of a single agricultural product, and performs twin scene processing, the system analyzes the picture and image, realizes three-dimensional scene modeling after image engine processing, and simultaneously binds the recognized agricultural product in the scene, simulates the directional picking action, synchronously completes the full-range superposition of the agricultural product photo, and forms the planting and picking scene in a three-dimensional simulation mode; the producer can preview and experience the integrated agricultural product planting and picking scene provided by the system online, or can optimize the scene through secondary video information collection;

[0033] S7: When purchasing agricultural products, the consumer scans the two-dimensional code of the agricultural product by using a mobile phone, the system displays the origin, growth cycle, market time, weather and climate, previous consumption evaluation, and matching degree of agricultural product intelligent recognition and two-dimensional code binding of the agricultural product, on the one hand, the origin of the agricultural product is known to the consumer, and the last mile traceability of the agricultural product is realized; on the other hand, the three-dimensional simulation scene is provided for the consumer, the planting and picking of the agricultural product can be experienced online, and scene-based consumption is realized;

[0034] S8: The consumer can evaluate the producer and the product through the platform, the system builds an experience e-commerce platform for the consumer, supports the consumer to initiate a secondary purchase request to the producer through the system, and the system supports the producer to directly deliver goods to the consumer through logistics;

[0035] S9: After the agricultural product is scanned and consumed, the system automatically collects the consumption region, price and consumer evaluation information of the agricultural product, the producer can comprehensively understand the consumption of the agricultural product, and can interact with the consumer through the platform.

[0036] The technical solutions provided by the embodiments of the present application are described in detail above, specific examples are applied in this paper to describe the principles and implementation modes of the embodiments of the present application, and the above embodiment description is only applicable to help understand the principles of the embodiments of the present application.

Claims

1. A scenario-based consumption system for agricultural products based on digital twins, characterized in that, Includes the following steps: S1: Users register online and are assumed to be consumers by default. They can apply to add the role of agricultural product producer. S2: The system automatically collects and saves climate and meteorological information of the location of agricultural producers, and the producers maintain the agricultural product information; S3: Producers periodically take photos and videos of agricultural products in the planting area, and the system stores the images in the database backend; S4: In the early stage of agricultural product harvesting, self-adhesive QR code labels are affixed to the surface of agricultural products, and the system binds and stores each agricultural product with a "one item, one code" system. S5: After the agricultural products are labeled with QR codes, the producers will focus on taking scene-based videos of the agricultural products with QR code labels, and the system will store the images in the database. S6: Producers select photos and videos of a single agricultural product for twin scene processing. The system analyzes the images and videos, processes them through an image engine to achieve 3D scene modeling, and simultaneously binds the identified agricultural products to the scene to simulate targeted harvesting actions. The system also simultaneously overlays the photos of the agricultural products in all directions to form a planting and harvesting scene in a 3D simulation mode. Producers can preview and experience the planting and harvesting scenes integrated for them by the system online, and can also optimize the scene by collecting secondary video information. S7: When consumers purchase agricultural products, they can use their mobile phones to scan the QR code of the agricultural products. The system will display the origin, growth cycle, market launch time, weather and climate, previous consumer reviews, and the matching degree of the agricultural products' intelligent identification and QR code binding. S8: Consumers can evaluate producers and their products through the platform. The system builds an experiential e-commerce platform for consumers, supports consumers to initiate secondary purchase requests to producers through the system, and supports producers to ship directly to consumers through logistics. S9: After agricultural products are scanned and consumed, the system automatically summarizes the consumption region, price, and consumer reviews of the agricultural products. Producers can have a comprehensive understanding of the consumption of agricultural products and can interact with consumers through the platform. The agricultural product information in step S2 includes: agricultural product variety, growth cycle and regional characteristics.