Abstract. This paper proposes a fuzzy neural network fire detection algorithm to improve the accuracy of fire detection. Taking the temperature, smoke concentration and CO concentration as the input of the system, the fuzzy neural network is used to analyze the multi input signals. Fuzzy neural network combines the advantages of neural network in finding the optimal solution at high speed and fuzzy system in dealing with fuzzy information and using existing knowledge. The effectiveness of the algorithm is proved by simulation with MATLAB toolbox.
With the rapid development of super large buildings, monitoring of fire hidden danger is much more difficult than ever. Whether fire alarm system is effective or not directly affects the ability of controlling fire and protecting people's lives and property. Operating performance assessment of fire alarm system is to assess intact effectiveness of the system by inspection and test. Analytic hierarchy process (AHP) is used to establish index system of operating performance. BP neural network algorithm is used to calculate the weight of each index so as to establish the assessment model of operating performance. It shows that the assessment model achieves better performance by MATLAB simulation and can provide reference for the system design and management.
In the modern power system, the safe and stable operation of the power transmission network and the special communication network depends on the healthy connection of its supporting network. In order to study and realize the above functions, a large amount of accurate data is very necessary. In this paper, the generation network G (Generator) and the discriminator network D (Discriminator) are used to continuously approach the real partial discharge voltage signal samples. Based on the WGAN model, the auxiliary classifier Wasserstein with gradient penalty is added, and the ACWGAN-GP model is proposed. Through the comparison between the data samples generated by the model and the real data samples, it can be found that there is a relatively consistent fluctuation rule between the two, but the values of the two remain different at the same time, which increases the diversity of the synthetic partial discharge voltage signal samples, is conducive to enhancing the robustness of the partial discharge detection model, and improves its generalization ability to detect faults. This provides a reference for enhancing the fault data of smart grids.
Abstract. Design performance assessment of fire alarm system is to test the design scheme of large complex fire alarm system and determine the degree of satisfaction of the system design objective. The second-grade indexes of design performance assessment of fire alarm system are extracted by principal components analysis. The paper uses SPSS16.0 and Microsoft Excel to complete the data statistics and analysis process.
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.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.