Decision-making and management system based on internet of things for Hulun Buir State Farm
2018
According to the specific requirements of scientific decision-making
and precision production control in the production process of modern
grasslands and animal husbandry, this paper presents a scheme of production
command decision system of modern grasslands and animal husbandry
based on internet of things. The scheme is composed of four major
components, including big data and cloud computing, grassland animal
husbandry production management decision information system, precision
operating technology and equipment systems, e-commerce and full traceability
system. Specific description is as follows: (ⅰ) Big data and
cloud computing. According to the large-scale and high-value characteristics
of big data, theoretical method and technical system of big data acquisition,
management and services of grass and animal husbandry are perfectly
established. Large data center hardware platform is constructed based
on cloud computing technology. PB(Petabyte) level grassland animal
husbandry data resources are integrated and large data intelligent
services are carried out based on agricultural vertical search engine,
agricultural cloud data management, agricultural knowledge ontology
and other key technologies. (ⅱ) Grassland animal husbandry
production management decision information system. According to the
organizational structure and production management model of Hulun
Buir State Farm, the agricultural production management and decision
information system of Hulun Buir is developed in accordance with the
concept of “horizontal to the side, vertical to the end”,
that is, horizontal to edge refers to the data information that can
be obtained from each group, sub-bureau, farm user and the production
team user; vertical to bottom refers to the latest information that
can be obtained from every field crop, every farm machine, and every
cow. A data warehouse is built, including comparing current accumulated
temperature data and rainfall data with over years. The monitoring
data of soil, including soil moisture and temperature, conductivity
and salt, provide accurate soil parameters for the grass and animal
husbandry, and the installation of video surveillance points timely
access to soil information. (ⅲ) Precision operating technology
and equipment systems. Based on herbage yield information, satellite
and unmanned aerial vehicle remote sensing data and measured data
of farmland soil nutrients, the spatial variability information of
farmland fertility is obtained, and the fertilizer prescription map
is formulated. In the process of operation, the GPS data are acquired
in real time and the data of fertilizer prescription maps are read,
and the accurate fertilization operation is realized through the variable
fertilization control system and the equipment. (ⅳ) E-commerce
and full traceability system. Business electronic platform of grass
industry can perfectly provide the business service to the merchants.
Each batch of grass and derivatives will be able to ensure quality,
quantity, and customer interests through traceability systems in the
future, so that production has records, flows can be traced and responsibility
can be defined. By content of decision system, low level of production mode, low
degree of intelligent and fine control and lack of market information
guidance of production platform are solved in large and medium-sized
grass pasture in China, in order to enhance the level of modern grass
animal husbandry information and help modern grass production and
transformation of the production mode.
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