Landfill is the main means of solid waste treatment in China at present, and the layers will leak different extent in the laying time. It is essential to locate leakage. The paper raises the conception that the application of transmission line model in the landfill leakage detection, the commonly method of TDR (Time Domain Reflectometry) is introduced, the transmission line model of landfill leakage detection is established, and the formula of a single loophole model is deduced, the result of computer simulation for the transmission line in landfill leakage detection is given. For with the leakage or not, potential distribution is contrasted. From transmit frequency and transmission line spacing for the influence of potential distribution, we use comsol to simulate. The results show that, the transmission line can be an effective method to locate the leakage region in a landfill.
A rapid R&D Process is produced in eddy current detection using hardware-in-loop simulation. Inspired by software and hardware concurrent exploitation method in software engineering, we explore a new top-down design method in Proteus environments. Data acquisition and data-out devices which can work in Proteus environments are designed, including the digital filter and coherent detection procedures for eddy current detection. By putting the spiral development of software engineering into the design process of the hardware projects, which uses Proteus as a system prototype development platform, unifies the gap between field experiment and the software simulation by using hardware-in- loop method and accelerates design schedule. In this way, rapid eddy current detection prototyping can be designed very soon, and it is useful for system-level devices design in eddy current detection. The practice proves that this method can greatly shorten the product development cycle and reduce development cost for system-level devices design in eddy current detection.
The focus of this paper was designing and demonstrating bus structure FBG sensor networks using intensity wavelength division multiplexing (IWDM) techniques and a gated recurrent unit (GRU) algorithm to increase the capability of multiplexing and the ability to detect Bragg wavelengths with greater accuracy. Several Fiber Bragg grating (FBG) sensors are coupled with power ratios of 90:10 and 80:10, respectively in the suggested experimental setup. We used the latest IWDM multiplexing technique for the proposed scheme, as the IWDM system increases the number of sensors and allows us to alleviate the limited operational region drawback of conventional wavelength division multiplexing (WDM). However, IWDM has a crosstalk problem that causes high-sensor signal measurement errors. Thus, we proposed the GRU model to overcome this crosstalk or overlapping problem by converting the spectral detection problem into a regression problem and considered the sequence of spectral features as input. By feeding this sequential spectrum dataset into the GRU model, we trained the GRU system until we achieved optimal efficiency. Consequently, the well-trained GRU model quickly and accurately identifies the Bragg wavelength of each FBG from the overlapping spectra. The Bragg wavelength detection performance of our proposed GRU model is tested or validated using different numbers of FBG sensors, such as 3-FBG, 5-FBG, 7-FBG, and 10-FBG, separately. As a result, the experiment result proves that the well-trained GRU model accurately identifies each FBG Bragg wavelength, and even the number of FBG sensors increase, as well as the spectra of FBGs, which are partially or fully overlapped. Therefore, to boost the detection efficiency, reliability, and to increase the multiplexing capabilities of FBG sensor networks, the proposed sensor system is better than the other previously proposed methods.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.