Space-time system design method for urban multi-layer temperature and humidity sensing

Abstract

The invention discloses a space-time system design method for urban multilayer temperature and humidity sensing. The method comprises the following steps: data measurement, space-time image acquisition, data summarization and modeling, data deduplication and improvement, addition of a temperature and humidity sensing module, real-time simulation, construction of an urban multilayer space-time system and practical application. According to the invention, obtaining the optimal spatial position data of the temperature and humidity sensing module according to the change of the meteorological difference node; considering full coverage of urban areas, an urban multi-layer space-time system is constructed; applying temperature and humidity sensors to actual positions; accessing to city internet of things, collecting dynamic data through an urban multi-layer space-time system, transmitting to a space-time information cloud platform through a neural network of the Internet of Things, processingand analyzing through cloud computing and big data and then feeding back to the real world, thus people can conveniently know data such as real-time temperature and humidity of urban multi-layer space positions in real time, and convenience is provided for traveling of people.

Description

technical field [0001] The invention relates to the field of urban system design, in particular to a space-time system design method for urban multi-layer temperature and humidity perception. Background technique [0002] More than 80% of the data in the real world are related to spatio-temporal information. Informatization is changing people's lives all the time, and spatio-temporal information plays an important role in it. With the full development of smart city pilots and the full launch of the Internet + strategy and its entry into people's daily lives, people pay more attention to the integration and application of spatio-temporal information and big data on the basis of only caring about geographic information or time in the past. ; [0003] The traditional urban system data integration degree is single, and the space-time system is mostly static data, especially for weather, temperature and humidity sensor information data, the timeliness is not high, and the data i...

AI Technical Summary

Problems solved by technology

[0003] The traditional urban system data integration degree is single, and the space-time system is mostly static data, especially for weather, temperature and humidity sensor information data, the timeliness is not high, and the data is often delayed, and for cities, weather, temperature and humidity, etc. Sensing information data covers a large range, and different weather may appear in different areas of the city, which will affect people's travel and comfort. Therefore, the present invention proposes a space-time system design method for urban multi-layer temperature and humidity perception to solve the problem of existing technologies. problems in