IoT (Internet of Things) based temperature and humidity monitoring device and method of large cold storage

Abstract

The invention relates to an IoT based temperature and humidity monitoring device and method of a large cold storage. The monitoring device comprises a temperature and humidity sensor, a wireless transmission network sensor, a temperature and humidity monitoring control terminal, a mobile communication network and a monitoring server; the monitoring server is provided with a display and a remote alarm; the temperature and humidity monitoring control terminal comprises a CPU, a memory, a Bluetooth chip, a ZigBee chip, a WIFI antenna, a USB interface, a mobile communication card and a local alarm; a UART interface, a GPIO interface, a USB controller and a WIFI controller are integrated in the CPU; the temperature and humidity sensor is connected with the Bluetooth chip, the ZigBee chip and the WIFI antenna via the wireless transmission network; and the CPU is connected with the mobile communication network via the mobile communication card. Compared with the prior art, the monitoring device and method have the advantages including high versatility, high safety, high instantaneity, convenient installation, temperature display and acousto-optic alarm.

Description

technical field [0001] The invention relates to a temperature and humidity monitoring technology, in particular to a large-scale cold storage temperature and humidity monitoring device and a monitoring method based on the Internet of Things. Background technique [0002] In order to ensure the safety of food and medicine, the state stipulates that the storage of the above items must meet certain temperature and humidity storage requirements, and the temperature and humidity data must be collected, stored and uploaded in real time. At present, most of them still use the traditional method of combining temperature collection, humidity collection instruments, manual recording and management, which is not only inefficient, but also often causes losses due to misjudgment and poor management. The data collected by manual monitoring has a hysteresis and does not have an early warning function, which cannot meet the needs of modern society at all. At the same time, in the real-time...

AI Technical Summary

Problems solved by technology

At present, most of them still use the traditional method of combining temperature and humidity collection instruments with manual records and management. This is not only inefficient, but also often causes losses due to misjudgment and poor management.

The data collected by manual monitoring is lagging and does not have the early warning function, which cannot meet the needs of modern society at all.

At the same time, in the real-time temperature monitoring system, it is often because of the long construction period of the wired temperature and humidity probe, and the large-scale cold storage cannot monitor the real-time temperature due to construction difficulties.

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