| Title |
Monitoring and visualization application of smart city energy economic management based on IoT sensors |
| ID_Doc |
41694 |
| Authors |
Li, QY; Jiang, ZY; Yuan, F |
| Title |
Monitoring and visualization application of smart city energy economic management based on IoT sensors |
| Year |
2022 |
| Published |
Neural Computing & Applications, 34, 9 |
| DOI |
10.1007/s00521-021-06108-1 |
| Abstract |
Urban economic development is not linear, but it always exhibits certain volatility. If the economic fluctuation exceeds a certain range, it may damage the urban economic development. In order to solve the economic damage caused by the excessive fluctuation of the urban economy in the development process, this article is based on the current situation of China's macroeconomic monitoring and early warning and data warehouse-related technologies, analyzed, explained the role of IoT sensors in the macroeconomic early warning system, reviewed the development process of economic monitoring and early warning, sorted out and compared several common economic monitoring methods, and proposed the application of IoT sensors to urban economic monitoring, the idea of early warning, and the construction of an urban economic data monitoring and early warning model. The urban economic data monitoring and early warning model is based on IoT sensors and has carried out research on data transmission, monitoring, forecasting, processing and display. After simulating the model, the results of the simulation experiment show that the accuracy rate of the economic volatility prediction of the model reaches 80%, which has certain practical value. |
| Author Keywords |
Internet-of-things sensors; Economic monitoring; Economic data; Dynamic display of data |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000657226800002 |
| WoS Category |
Computer Science, Artificial Intelligence |
| Research Area |
Computer Science |
| PDF |
|