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Architecture of unmanned intelligent lifting system

A technology of intelligence and sensing system, which is applied in the direction of radio wave measurement system, satellite radio beacon positioning system, measurement device, etc., can solve the problems of low work efficiency, low degree of automation, high risk, etc., to reduce time consumption, Effects of improving productivity and reducing risks

Inactive Publication Date: 2020-11-06
SOUTHEAST UNIV
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Problems solved by technology

[0002] In the construction process of prefabricated buildings, when hoisting prefabricated components, there are generally problems such as low degree of automation, high labor intensity, and risky tower crane operation. Hoisting takes a long time, work efficiency is low, construction is difficult and dangerous, so , it is necessary to develop an automatic hoisting system to meet the construction needs of prefabricated buildings

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  • Architecture of unmanned intelligent lifting system
  • Architecture of unmanned intelligent lifting system
  • Architecture of unmanned intelligent lifting system

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Embodiment Construction

[0030] The present invention will be further explained below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the following specific embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention.

[0031] As shown in the figure, an unmanned intelligent hoisting system described in the present invention includes:

[0032] 1) Perceptual layer

[0033] The main function of the perception layer is perception, which is equivalent to the "eyes" of the system. It is responsible for completing the information collection work of the unmanned tower crane. External information such as environmental wind speed information, and its own position and attitude information such as hook height information, object weight information, luffing trolley amplitude information, and slewing mechanism angle information.

[0034] Specific functions of the perception layer:

[0035] a. Po...

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Abstract

The invention relates to an architecture of an unmanned intelligent lifting system. The architecture comprises a perception layer, a decision making layer and a control layer; the perception layer obtains the on-site position of an assembled building through the positioning function of a GPS, meanwhile, an embedded sensing system collects environment information and tower crane information in realtime, collected data are processed through a kalman filtering algorithm, feedback is sent to the decision making layer in real time, and the various informaiton collecting function of the perceptionlayer is achieved; the decision making layer receives data information collected by the sensing layer, a decision is made through a neural network expert system, and a specific operation order of a tower crane is output; and the main function of the control layer is to receive a control order output by the decision making layer, and actual operation on hardware is completed through a vehicle control system according to the control order. According to the architecture of the unmanned intelligent lifting system, automatic lifting of the tower crane is achieved, positioning is precise, the production efficiency is high, the operation risk is low, and the manpower cost of the construction process is reduced.

Description

technical field [0001] The invention belongs to the technical field of prefabricated building construction, and in particular relates to the framework of an unmanned intelligent hoisting system. Background technique [0002] In the construction process of prefabricated buildings, when hoisting prefabricated components, there are generally problems such as low degree of automation, high labor intensity, and risky tower crane operation. Hoisting takes a long time, work efficiency is low, construction is difficult and dangerous, so , it is necessary to develop an automated hoisting system to meet the construction needs of prefabricated buildings. Contents of the invention [0003] In order to solve the above problems, the present invention discloses a structure of an unmanned intelligent hoisting system, which realizes automatic hoisting of tower cranes, accurate positioning, high production efficiency, low operational risk, and reduces labor costs in the construction process...

Claims

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Application Information

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IPC IPC(8): B66C13/48B66C13/40B66C13/46B66C13/08B66C23/62E04G21/00G01D21/02G01S19/42
CPCB66C13/48B66C13/40B66C13/46B66C13/085B66C23/62E04G21/00G01D21/02G01S19/42
Inventor 黄有亮聂骁袁晗菲王克戴天琦凌胜
Owner SOUTHEAST UNIV
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