Heating and ventilation cloud edge cooperation system

Abstract

The invention relates to the technical field of heating and ventilation intelligent control, and discloses a heating and ventilation cloud edge cooperation system, which comprises at least one cloud server, a plurality of edge servers, a plurality of gateways, a plurality of acquisition terminals and a plurality of heating and ventilation devices, wherein the cloud server adjusts parameters of algorithm strategies stored in each edge server; the edge server generates a control instruction by adopting an algorithm strategy and sends the control instruction to the gateway; the gateway collects operation data and attribute data sent by the heating and ventilation equipment, maps the operation data and the attribute data to the edge server for storage, and maps a control instruction sent by the edge server to the heating and ventilation equipment, so that the heating and ventilation equipment executes corresponding operation according to the control instruction; the heating and ventilation equipment collects operation data generated during operation execution through the collection terminal; and the edge servers are mutually connected through a VPN and are used for mutually synchronizing operation data and control instructions so as to carry out distributed monitoring on the heating and ventilation equipment. According to the invention, sinking of a heating and ventilation control algorithm is realized, and the reliability of heating and ventilation equipment control is improved.

Description

technical field [0001] The invention relates to the technical field of HVAC intelligent control, in particular to a HVAC cloud-edge collaborative system. Background technique [0002] In traditional IoT applications controlled by HVAC equipment, acquisition and transmission equipment such as HVAC equipment terminals and gateways generally only collect and transparently transmit data, without complex processing. Multiple gateways aggregate the operating data of HVAC equipment Upload to the cloud, and the specific control algorithm is deployed on the cloud or a local server. However, wireless communication is easily affected by factors such as the environment and signal quality, so the control and response are uncertain and lagging. For scenarios such as field device linkage and emergency fault handling, timely and reliable responses cannot be achieved. The traditional approach is to write this linkage and fault handling logic into a PLC (Programmable Logic Controller, Progra...

AI Technical Summary

Problems solved by technology

[0003]The present invention aims to solve the technical problem of poor flexibility in the control of HVAC equipment in existing Internet of Things applications, and provides a HVAC cloud-edge collaborative system, which The HVAC cloud-edge collaborative system includes at least one cloud server, multiple edge servers, multiple gateways, multiple collection terminals, and multiple HVAC equipment, among which,

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