Abstract
Sensors are an important tool to quantify the changes and an important part of the information acquisition system; the performance and accuracy of sensors are more strictly desired. In this paper, a highly sensitive fiber optic sensor for measuring temperature and refractive index is prepared by using femtosecond laser micromachining technology and fiber fusion technology. The multimode fiber is first spliced together with single-mode fiber in a positive pair, and then, the multimode fiber is perforated using a femtosecond laser. The incorporation of data model sensors has led to a rapid increase in the development and application of sensors as well. Based on the design concept and technical approach of the wireless sensor network system, a general development plan of the indoor environmental monitoring system is proposed, including the system architecture and functional definition, wireless communication protocols, and design methods of node applications. The sensor has obvious advantages over traditional electrical sensors; the sensor is resistant to electromagnetic interference, electrical insulation, corrosion resistance, low loss, small size, high accuracy, and other advantages. The upper computer program of the indoor environment monitoring system was developed in a Visual Studio development environment using C# language to implement the monitoring, display, and alarm functions of the indoor environment monitoring system network. The sensor-data model interfusion with each other for mutual integration performs the demonstration of the application.
Highlights
Sensors are an important tool for human beings to quantify the changes and status of the outside world and are an important part of the information acquisition system
The research on information fusion firstly proposed the functional model of information fusion which has been adopted by most of the practical applications, and we focus on the functional model of information fusion
This paper addresses the problem of inefficient fusion with mathematical models in the process of multi-sensor ranging, and the algorithm is proposed in this paper after principle analysis and algorithm simulation, which is optimized
Summary
Sensors are an important tool for human beings to quantify the changes and status of the outside world and are an important part of the information acquisition system. Sensitivity, structure diversification, distributed sensing, and other obvious advantages make sensors have many unique environmental applications with strong adaptability; to certain physical parameters for accurate measurement, high reliability can be used to measure temperature, strain, displacement, pressure, refractive index, and other types of physical parameters, so it is widely used in bridge inspection, petrochemical, food safety, and production life and many others. It is widely used in many important fields such as bridge inspection, petrochemical, food safety, and productive life. It is a product of the combination of microcomputer technology and detection technology
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