A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Architecture of unmanned intelligent lifting system
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.
本发明所述的一种无人化智慧吊装系统的架构，包括感知层、决策层、控制层；所述感知层通过GPS的定位功能获取装配式建筑构建的现场位置，同时嵌入式传感系统实时收集环境以及塔吊自身信息，运用卡尔曼滤波算法对采集的数据进行处理，实时反馈给决策层，实现感知层各类信息采集功能；所述决策层是接收感知层收集的数据信息，经过神经网络专家系统进行决策，输出塔吊的具体操作指令；所述控制层的主要功能是接收决策层输出的控制指令，根据控制指令通过车辆控制系统完成对硬件的实际操作；本发明实现了塔吊自动吊装，定位精确，生产效率高，操作风险低，降低了施工过程的人力成本。
Architecture of unmanned intelligent lifting system
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.
本发明所述的一种无人化智慧吊装系统的架构，包括感知层、决策层、控制层；所述感知层通过GPS的定位功能获取装配式建筑构建的现场位置，同时嵌入式传感系统实时收集环境以及塔吊自身信息，运用卡尔曼滤波算法对采集的数据进行处理，实时反馈给决策层，实现感知层各类信息采集功能；所述决策层是接收感知层收集的数据信息，经过神经网络专家系统进行决策，输出塔吊的具体操作指令；所述控制层的主要功能是接收决策层输出的控制指令，根据控制指令通过车辆控制系统完成对硬件的实际操作；本发明实现了塔吊自动吊装，定位精确，生产效率高，操作风险低，降低了施工过程的人力成本。
Architecture of unmanned intelligent lifting system
一种无人化智慧吊装系统的架构
HUANG YOULIANG (author) / NIE XIAO (author) / YUAN HANFEI (author) / WANG KE (author) / DAI TIANQI (author) / LING SHENG (author)
2020-11-06
Patent
Electronic Resource
Chinese
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