The invention discloses a warehouse
management system based on
the Internet of Things, and a warehousing quality risk
estimation method based on the warehouse
management system, and relates to the field of
cold chain logistics and intelligent warehousing. The
system comprises a warehousing environment and material information sensing unit, an RFID
middleware unit, warehousing onsite operation units, a
data center unit, and a cloud service center unit. The warehousing environment and material information sensing unit is integrated on a sensing
label. The RFID
middleware unit is integrated on an RRID reader-writer. The warehousing onsite operation units are integrated on the reader-writer and a warehouse working terminal. The
data center unit is deployed on the data
server. The cloud service center unit is deployed on an
application server. According to the invention, a BP neural network
algorithm is creatively used for the risk early warning of the
system, thereby achieving the real-time state analysis and warning of
cold chain warehoused materials, and effectively solving a problem of warehousing quality risk
estimation and alarm of fresh agricultural products in a
cold chain warehouse. The
system is good in application prospect.