Intelligent scaffold background system

Abstract

The invention belongs to the technical field of intelligent scaffolds, and discloses an intelligent scaffold background system, which comprises a sensing layer, a network layer, a platform layer and an application layer, and is characterized in that the sensing layer is used for sensing state information of a scaffold; the network layer is connected with the sensing layer and the platform layer, and sends the received information transmitted by the sensing layer to the platform layer; the platform layer is used for accessing scaffold equipment in an Internet of Things environment, managing thescaffold equipment and receiving and processing data information sent by the network layer; the application layer is connected with the platform layer, and based on data processing and equipment management of the platform layer, is applied to an intelligent system comprising the intelligent scaffold for operation. According to the invention, the scaffold equipment can be monitored in real time, the working state, the alarm information, the equipment information and other information of the scaffold equipment can be known in time, when a problem occurs, the background system can give an alarmin time, equipment management personnel can immediately obtain the message and process the message in time, the intelligent scaffold equipment is flexibly operated, and the working efficiency is improved. The system is suitable for scaffold equipment.

Description

technical field [0001] The invention belongs to the technical field of intelligent climbing frames, and relates to a background system, in particular to an intelligent climbing frame background system. Background technique [0002] The climbing frame is also called the lifting frame. According to its power source, it can be divided into hydraulic type, electric type, manual type and other main types. It is a new type of scaffolding system developed in recent years. It is mainly used in high-rise shear wall buildings. Climb up or down with the building. At present, basically all climbing systems are managed through simulation, and the alarm information of each node needs to be manually operated directly. The traditional method has high labor costs, untimely data feedback and error-prone, resulting in low overall operating profit and low management efficiency. In addition, the existing climbing frame system cannot centrally control all climbing frames. Contents of the inve...

AI Technical Summary

Problems solved by technology

At present, basically all climbing systems are managed through simulation, and the alarm information of each node needs to be directly operated manually

The traditional method has high labor costs, untimely data feedback and error-prone, resulting in low overall operating profit and low management efficiency

In addition, the existing climbing frame system cannot centrally control all climbing frames

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