In IoT applications, energy supply, especially wireless power transfer (WPT), has attracted the most attention in the relevant literature. In this paper, we present a new approach to laser irradiance solar cell panels and predicting energy transfer efficiency. From the previous experimental datasets, it has been discovered that in the laser charging (LC) process, temperature has a great impact on the efficiency, which is highly correlated with the laser intensity. Then, based on artificial neural network (ANN), we set the above temperature and laser intensity as inputs, and the efficiency as output through back propagation (BP) algorithm, and use neural network and BP to train and modify the network parameters to approach the real efficiency value. We also propose the genetic algorithm (GA) to optimize the learning rate of the BP, which achieved slightly superior results. The results of the experiment indicate that the prediction method reaches a high accuracy of about 99.4%. The research results in this paper provide an improved solution for the LC application, particularly the energy supply of IoT devices or small electronic devices through WPT.

Digital transformation (DT) has become an important engine for the development of the digital economy and an important means of reshaping corporate culture, business processes, management models, and so on. Different social communities at different levels have different needs and understandings of digital transformation. Therefore, this paper proposes to explore the communication themes of digital transformation on social media. This study’s main objective is to uncover underlying thematic structures and core ideas from large amounts of textual data in different social media communities to better understand the significance of the communication themes. This paper also aims to reveal the characteristics of diffusion patterns of DT themes by opinion-themed mining. This study uses text mining and social network analysis methods to mine DT themes, theme structure, and the statistical characteristics of hot words across various online communities. The main findings of this study are as follows. The Huawei forum discusses the technological drivers of the digital economy from a micro level. Sohu News explores business operation strategies at a macro level. The Zhihu forum discusses the elements of digital development at the micro level. Moreover, the hot words’ degree centrality and betweenness centrality across various online communities exhibited a power law distribution. In conclusion, this research paper studies and analyzes DT themes of different social media platforms to discover the opinions and attitudes of various social groups in the digital transformation era and deeply interprets social trends and public opinions in order to provide valuable decision-making theoretical support for managers, enterprises, and governments.

Using laser as a technology of wireless energy transmission to supplement power for small electronic equipment, for the characteristics of fast charging speed, flexible and convenient implementation. The wireless energy transmission system consists of mobile charging station and mobile object. There are two-dimensional platform, laser and corresponding optical elements on the mobile charging station. The platform controls the laser beam to aim at the photovoltaic panel located in the mobile object. The mobile object is designed using Super-Capacitor to store electricity generated by photovoltaic panels. Grid charging working area, modeling for moving objects. The logic algorithm of mobile charging station to mobile object charging is designed to deal with the general working conditions and special conditions. The experiment obtained the I-V curve of the photovoltaic panel illuminated by the laser, calculated and selected the SuperCapacitor to meet the car's electricity demand. The results show that the wireless energy transmission using laser technology can realize the long distance transmission of the electrical energy required by small electronic equipment and fit the requirements of long time continuous operation.