Research of Application Expansion Based on Lightweight Human-Machine Cloud Terminal

With the development of mobile internet technology, the human-machine terminals of power grid regulation systems have gradually expanded from traditional human-machine devices to mobile terminal devices such as tablets and mobile phones. Lightweight human-machine cloud terminals have become an important direction in current human-machine research. In existing regulation systems, whether it is traditional energy management systems, dispatch control systems, or smart grid regulation systems, in order to adapt to the corresponding system, application extension usually adopts customized development, and the integration and extension of applications require corresponding modifications and implementations for different systems. This implementation method mainly has the following shortcomings: heavy reliance on client interface specifications and unfriendly extended interactions; the $C / S$ and B/S ends cannot be reused, resulting in serious waste of development resources; Completely expanding and transforming applications based on services is not conducive to compatible processing of existing systems. This article proposes an application interaction architecture based on lightweight human-machine cloud terminals, by abstracting application calls, they can be divided into several types of operations such as command calls, interface calls, and service calls, decouple the strong correlation between decoupling applications and systems, extend application calling method, provide interface dynamic library level calls and service call level calls. It not only meets the high reuse of application services, but also solves the problem of multi system compatibility.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/icemce64157.2024.10862300
Primary Topic
Wireless Sensor Networks and IoT
Type
article
Field-Weighted Citation Impact
0.00
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Research of Application Expansion Based on Lightweight Human-Machine Cloud Terminal

Kun Huang, Zhimeng Lv, Shili Duan, Hua Xu et al.
Wireless Sensor Networks and IoT
article

Research of Application Expansion Based on Lightweight Human-Machine Cloud Terminal

Kun Huang, Zhimeng Lv, Shili Duan, Hua Xu, Lulu Li, Xia Yin
article en

Abstract

With the development of mobile internet technology, the human-machine terminals of power grid regulation systems have gradually expanded from traditional human-machine devices to mobile terminal devices such as tablets and mobile phones. Lightweight human-machine cloud terminals have become an important direction in current human-machine research. In existing regulation systems, whether it is traditional energy management systems, dispatch control systems, or smart grid regulation systems, in order to adapt to the corresponding system, application extension usually adopts customized development, and the integration and extension of applications require corresponding modifications and implementations for different systems. This implementation method mainly has the following shortcomings: heavy reliance on client interface specifications and unfriendly extended interactions; the $C / S$ and B/S ends cannot be reused, resulting in serious waste of development resources; Completely expanding and transforming applications based on services is not conducive to compatible processing of existing systems. This article proposes an application interaction architecture based on lightweight human-machine cloud terminals, by abstracting application calls, they can be divided into several types of operations such as command calls, interface calls, and service calls, decouple the strong correlation between decoupling applications and systems, extend application calling method, provide interface dynamic library level calls and service call level calls. It not only meets the high reuse of application services, but also solves the problem of multi system compatibility.

NARI Group (China) (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 67%
Wireless Sensor Networks and IoT
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