With the continuous and rapid development of the technology of the empowered Internet of Things (IoT), multi-service scenarios continue to appear, which poses a new challenge to the delay of large data services in IoT. Aiming at the cloud and edge cooperation for the IoT architecture, this work proposes a cloud and edge collaboration mechanism for the network delay optimization based on software-defined network, which tries to minimize the average delay by introducing a continuously variable cloud and edge task segmentation coefficient. Besides, we transform the delay optimization problem into a convex optimization one, based on which an optimized task segmentation strategy is obtained. The experimental results indicate that the service delay and network congestion can be reduced greatly by reasonable loading of edge node tasks to the cloud center.
Currently, the existing human patrol and machine patrol methods lack of analysis of the surrounding environment of photovoltaic power stations, which leads to the situation that the power line inspection data are not consistent with the actual results, so that the inaccuracy of intelligent inspection results are obtained. Then, an intelligent inspection system for photovoltaic power station based on lidar point cloud data is designed. In particular, the environment and equipment information are processed centrally and the processing results are stored in the storage module. Besides, the laser radar is used to measure the distance. The laser pulse is used to collect and process the point cloud data, so as to adjust the radar parameters. By calculating the distance between the laser source and the measured point, the environmental information around the photovoltaic power station is obtained to form a three-dimensional surface model, which is used to fit the power line and achieve the best parameters. The experimental results show that the horizontal distance and vertical distance of the proposed system are consistent with the actual result, which are also accurate.
KEYWORDS: Human-machine interfaces, Design and modelling, Data storage, Computing systems, Computer architecture, Network architectures, Internet of things, Computer programming languages
In order to promote the application of the cross-platform and plug-and-play, a development framework based on Service Oriented Architecture (SOA) is proposed. In order to achieve interface unification and service encapsulation, the concept of service template is firstly designed to standardize the generation of services instances as well as the service publishing, query and subscription so as to improve service efficiency. Besides, to fulfil the plug-and-play feature for services, a complete life cycle management is also designed to realize the dynamic service management, in which the concept of mirror service is introduced to realize the service versatility in different scenarios. The results show that SOA based framework can realize the service decoupling and merging easily, so that the service efficiency can be achieved.
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