Internet-of-Things supervision system and method

Abstract

The invention discloses an Internet-of-Things supervision system and method. The system comprises a cloud platform, an mqtt server, at least one level of intranet penetration device and an intranet supervision device which are connected in sequence. The method comprises the steps that S1, a cloud platform issues an issuing instruction; S2, the mqtt server issues a subscription message containing an instruction issued by the cloud platform to the intranet penetration device; S3, the intranet penetration device analyzes the subscription message and controls a corresponding intranet supervision device to detect corresponding data; S4, the intranet supervision device returns a detected data result to the intranet penetration device; S5, the intranet penetration device analyzes and assembles the data result returned by the intranet supervision device, and publishes the data result to the mqtt server; and S6, the cloud platform defines a detection data result returned from the mqtt by the corresponding theme. By means of the system, grain condition information can be remotely detected and checked in real time, and grain depot equipment can be monitored and controlled in a security and protection mode.

Description

technical field [0001] The invention relates to the technical field of the Internet of Things, in particular to an Internet of Things supervision system and method. Background technique [0002] With the informatization construction of the grain industry in recent years, a considerable part of the grain depots have built an informatization system, and the basic functions of grain situation and security monitoring are already in place. Under the business model of policy-based grain and rented warehouses for storage, remote monitoring is common, but most grain depots do not have fixed public network IPs, and remote video monitoring mostly relies on third-party video traffic forwarding platforms, and grain information is also Grain depots mainly report level by level and summarize level by level, and it is difficult for higher-level supervisory units to directly capture data. This data collection mode lacks interconnection and interoperability, and there are problems and risks...

AI Technical Summary

Problems solved by technology

Under the business model of policy-based grain and renting warehouses for storage, remote monitoring needs are widespread, but most grain depots do not have fixed public network IPs, and remote video monitoring mostly relies on third-party video traffic forwarding platforms, and grain information is also Grain depots are mainly reported level by level and summarized level by level, and it is difficult for the superior supervisory unit to directly capture the data

This data collection mode lacks interconnection and interoperability, and there are problems and risks such as slow data upload timeliness, long cycle, high labor costs, data cannot be viewed in real time, and data has been tampered with, which directly affects the correct decision-making and effective supervision of the grain administrative department.

[0003] At the same time, with the popularization of informatization and automation, there are various types of grain depot equipment and various communication protocols. There is no unified standard and management interface. It is also very difficult to connect information systems, and the workload remains high.

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