Urban IoT (Internet of Things) information classification processing system and method

Abstract

The invention relates to an information classification processing system and method based on an urban IoT (Internet of Things), particularly relates to an information classification processing, prediction, decision and automatic learning method, and belongs to the technical field of IoT information processing. The system comprises a sensing layer, a data transmission layer, a data filtering layer,an information definition layer, an information processing layer, a decision supporting layer, a network layer and a decision tree autognosis method based on a self-built database; real-time sensed data is output at regular time by the data transmission layer; and the decision supporting layer carries out analysis statistics according to information uploaded by the information processing layer, combines instant information to carry out comparison with historical information, predicts future information which cannot be obtained in real time by a sensor and event trends, calculates an occurrence probability of an event along with a master variable at a future time point, makes a plurality of suggestion decision schemes, selects an optimal scheme to execute, collects process information andresult information and establishes a decision tree model, and after repeated optimization, the system automatically learns and carries out cognition, so that a decision is gradually made by the system.

Description

technical field [0001] The invention belongs to the technical field of information processing, and relates to a system and a method for hierarchically processing urban Internet of Things information. Background technique [0002] To build an intelligent, intensive, low-carbon, green, and safe smart region and city, it is necessary to realize the full connection of public infrastructure and professional service facilities in the region to the Internet of Things. The diversification of sensing devices and access devices in smart areas and cities is the most important feature of the Internet of Things in the current and future development relative to the Internet. How to efficiently and conveniently connect to the perception layer devices in the Internet of Things, how to integrate different types of sensor data more effectively, and calculate more accurate value information, so that the data collected at the bottom can meet the needs of business applications to the greatest ex...

AI Technical Summary

Problems solved by technology

How to implement local installation of necessary sensors, obtain heterogeneous primary information from multiple municipal facility sensors, and perform cross fusion to generate "non-perceivable information" different from primary information for judgment and decision-making, still needs to be developed

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