Agricultural and Rural Big Data Platform-DUNHUA

Products

Product Description

Agricultural and Rural Big Data Platform

The platform focuses on the management needs of the agricultural and rural sectors, advancing the digitalization of agriculture and rural areas step by step, continuously deepening the multi-scenario application of agricultural IoT technology, achieving organic integration of data resources, and strengthening productivity through digital technology to promote high-quality development of agriculture and rural areas, providing scientific decision-making basis and big data support for local agricultural production, operation, and development management.

Overview of the Plan

This plan is based on modern information technologies such as IoT, cloud computing, big data, and artificial intelligence, adhering to national policy documents and technical specifications.ITRelying on infrastructure (government cloud), with security and management systems as guarantees, and standard specification systems as the basis. The goal is to build a city driven by digitalization, centered on smart applications, fundamentally focused on industrial development, and supported by data services to assist in the development of smart agriculture in the city, striving to create a big data center and promote a 'new model' of smart agriculture services.

Project Construction Content

Project construction needs to be based onthe city'sactual needs for agricultural production and the basic conditions for agricultural informationization, forming a local agricultural and rural IoT data cloud. Establish and improvethe city'sthe agricultural and rural data resource system, forming a unified management and service data resource directory, providing unified data resource collection standards and guidelines for the construction of a comprehensive agricultural and rural map, big data application systems, and IoT monitoring platforms. By breaking down data barriers between different businesses through digital identities, achieve business integration and data sharing across departments, regions, and businesses.

The platform project supports the integration of various sensors in agricultural production, enabling intelligent perception and data collection of multiple environmental factors. The platform supports the collection of data from existing and future IoT devices and effectively applies the data, ensuring its completeness, accuracy, and authenticity, thereby better providing technical support and analytical decision-making for smart production management.

Overall Architecture

The entire system adopts a B/S architecture, constructing a complete big data platform that connects the data channel from data sources to industry applications, forming a big data platform that includes data integration engines, sharing and exchange engines, storage and computing engines, application development engines, industry modeling engines, data operation engines, business intelligence engines, and data visualization engines; achieving visualized data services throughout the process, grouped and domain-specific data resource control, and personalized presentation and data mining based on the characteristics and needs of agricultural big data applications. The overall architecture is mainly divided into four layers:

Data Collection Layer: This includes the aggregation of existing data from relevant agricultural enterprises and government functional departments, as well as the aggregation of infrastructure system information, and real-time data collection nodes for agricultural IoT, collecting massive amounts of data in various forms.

Data Processing and Aggregation Layer: Standardizes data processing, models and stores data, provides a unified data storage interface downwards, and provides standard interfaces for platform data analysis upwards.

Data Mining and Analysis Layer: Each platform starts from its own needs, correlates different data sources, and utilizes big data technology to mine and analyze, achieving different business requirements.

Data Application Layer: Based on the capability open interfaces provided by the specialized platform, agricultural enterprises, government functional departments, and public users can carry out innovative applications. Due to the involvement of massive data and several sub-modules, the data security control module ensures data security and quality, and achieves reasonable scheduling of resources and permission management.