Development Of Smart Industry Research Articles

A deep-learning-assisted versatile electret sensor for moving object detection

Smart active sensing system plays an important role in the development of smart industry and Internet of Things (IoT). For large-scale machinery and equipment, it’s still very challenging to develop ideal sensors for accommodating to this future technology. In this work, a self-powered versatile electret sensor is proposed for moving objects detection in large-scale machinery and equipment, based on which, methods of detecting the features of objects, such as size, material composition, charged property, length and speed, are investigated and developed. Deep learning method is also integrated with the object sensor, reaching very high accuracy and intelligent sensing. Moreover, take the case of aircraft inlet or other machinery with similar issues, we further design a specific object sensor for inhalation monitoring. An intelligent monitoring and recognition system based on object sensor and deep learning method is also designed for intelligent and automatic monitoring of moving objects. Very high accuracy is obtained, indicating promising potential of this prototype in smart sensing. This work provides a deep-learning-assisted self-powered versatile electret sensor for moving objects, which lays a solid foundation for the real-time health and safety monitoring and digitalization of large-scale machinery and equipment in IoT.

Decision-making for location of manufacturing bases in an uncertain demand situation

Multi-site selection is a hot research issue for equipment manufacturing enterprises. With the development of smart industry, equipment manufacturing enterprises have entered the era of personalized and small batch manufacturing. Enterprises want to better meet customer needs and win competition, they must carry out scientific factory planning and site selection, so as to ensure quick response to the market. Based on this, this paper proposes a two-stage location selection model. Firstly, the method uses fuzzy numbers to express the demand size of demand points. Secondly, the distance factor is used as a criterion to select the candidate manufacturing bases with sufficient available resources. Next, the location model of enterprise manufacturing base is established which the goal of maximizing service efficiency and the constraints of time, cost and demand. Finally, a random numerical example is used to simulate the model, and lingo is used to solve it.

Smart Hotel Helping Normalization Vacation

With the development of economy, the impetus of science and technology, and the favorable policy, the tourism has been booming in China. But how to make vacation become the day-to-day part of ordinary people's life is still needed to be further discussed. Based on the current level of China's economic and technological development and Internet +, the author found with the development of smart industry, especially the progress of science and technology, such as IT and artificial intelligence, the realization of smart hotel is surely within the realm of possibility. The appearance of smart hotel will promote the realization of normalization vacation.

Development of smart industry as an efficient way to implement the policy of neoindustrialization in the world

Development of smart industry as an efficient way to implement the policy of neoindustrialization in the world