{"title":"Design and Implementation of Family Financial Risk Prevention System Based on TRIZ and Wireless Sensor Network","authors":"Moli Xu","doi":"10.1109/TOCS53301.2021.9688777","DOIUrl":null,"url":null,"abstract":"With the gradual increase of people’s awareness of financial asset risk, the use of TRIZ innovation theory and wireless sensor network technology can not only monitor people’s long-term family asset risk, but also save money and family time and energy. This paper realizes the basic requirements of family financial risk prevention system based on TRIZ innovation tools and wireless sensor network from both hardware and software aspects. The system uses GAINSJ node and risk sensor to collect and transmit asset data. The management software on the local PC actively processes, stores, displays data and transmits it to the remote server. It has access to data on the Internet. At the same time, the existing feature parameter extraction method of financial investment sentiment is improved and simplified. Finally, the validity of the system is verified by the experiment of emotion data collection and transmission. The arithmetic average filtering algorithm and the simplified threshold algorithm are simulated on MATLAB. The result improves the feasibility of the simplified threshold algorithm.","PeriodicalId":360004,"journal":{"name":"2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TOCS53301.2021.9688777","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
With the gradual increase of people’s awareness of financial asset risk, the use of TRIZ innovation theory and wireless sensor network technology can not only monitor people’s long-term family asset risk, but also save money and family time and energy. This paper realizes the basic requirements of family financial risk prevention system based on TRIZ innovation tools and wireless sensor network from both hardware and software aspects. The system uses GAINSJ node and risk sensor to collect and transmit asset data. The management software on the local PC actively processes, stores, displays data and transmits it to the remote server. It has access to data on the Internet. At the same time, the existing feature parameter extraction method of financial investment sentiment is improved and simplified. Finally, the validity of the system is verified by the experiment of emotion data collection and transmission. The arithmetic average filtering algorithm and the simplified threshold algorithm are simulated on MATLAB. The result improves the feasibility of the simplified threshold algorithm.