IoT sensor network artificial intelligence warning, control and monitoring systems and methods

Abstract

A first Internet of Things (IoT) sensor network remote sensor station and network comprising a sensor network parameter processing, warning and control system with electronic, specifically programmed, specialized sensor network communication computer machine including electronic artificial intelligence expert system processing with transceivers and/or electrical or optical connections for communicating with IoT sensors and other different followed or following IoT remote sensor stations. Monitor units collect information from and communicate with remote sensor stations and further analyze collected information with artificial intelligence expert systems processing comprising expert input with multiple propositional expert system instructions defining multiple ranges of sensor variables. Further artificial intelligence expert system decision making provides Multiple-Input/Multiple-Output (MIMO) expert system operation with dispatch of electronic and/or optical communication warnings and/or corrective action control signals addressing MIMO urgent and composite degrees of concerns. Further artificial intelligence expert system comprises one or more of expert system processing, speech recognition, natural language processing, image analysis, fuzzy logic and/or neural network analysis. In some embodiments, hierarchical expert or fuzzy systems, neural network and/or adaptive feedback control implementation are disclosed resulting in substantial simplification of computational requirements.

Description

BACKGROUND OF THE INVENTION[0001]The Internet of Things (IoT) is a network of physical devices or objects (“things”) monitored and / or controlled by distributed sensors, controllers, processors and storage devices interconnected by the Internet. The physical devices or objects may include, for example: materials, objects, persons, areas, terrestrial or air-borne vehicles, appliances, manufacturing or process tools, environments, pipe lines, power generation and / or delivery systems, telecommunications equipment, processors and / or storage devices, or other devices or objects for which collected information and / or automated control is important for considerations such as safety, personal health or well-being, security, operational efficiency, information exchange, data processing and data storage.[0002]The importance and magnitude of the IoT cannot be overstated. It has been estimated that the number of devices connected to the IoT may exceed 20 Billion or more by 2020. The total annual...

AI Technical Summary

Benefits of technology

[0048]Various embodiments for improved monitoring systems and methods are disclosed in the present invention. In one aspect of this invention, a first Internet of Things (IoT) sensor network remote sensor station comprises, without limitation, a sensor network parameter processing, warning and control system with at least one electronic, specifically programmed, specialized sensor network communication computer machine including electronic artificial intelligence expert system processing and further comprising a non-transient memory having at least one portion for storing data and at least one portion for storing particular computer executable program code; at least one processor for executing the particular program code stored in the memory; and one or more transceivers and / or electrical or optical connections for communicating with IoT (Internet of Things) sensors that generate electrical or optical parameter signals derived from sensor inputs from objects or situations being monitored.

Problems solved by technology

Often traditional data-processing application software are inadequate to deal with Big Data.

Managing and making efficient use of such Big Data is a challenge to system designers.

Failure or congestion from over loading of these resources may negatively impact proper operation of the IoT resulting in, for example, loss of important information or lack of proper response to critical situations.

A technical paper describing, inter alia, an application area in the Internet of Things (IoT) where a massive amount of sensor data has to be classified and the need to overcome variable latency issues imposes a major drawback for neural networks.

However, such prior systems and methods fail to take full advantage of modern AI expert system, fuzzy logic, neural network and hierarchical system information processing technology to provide a comprehensive assessment of sensor data, telecommunication network status, and / or potentially dangerous or unacceptable situations or conditions.

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