An artificial intelligence IoT (Internet of Things) Big Data information management and control system with improved distributed network performance monitoring, fault detection and expert system generation of warning and control signals indicative of selected, critical IoT element performance issues and faults comprising the following combination of capabilities:
- data collection sensor stations comprising contained object or situation sensors;
- individual data collection sensor stations connected to a monitor unit physically spaced apart from said individual data collection sensor stations for receiving information from said data collection sensor stations, said monitor unit further providing communication with other IoT network monitoring units and/or cloud computing resources;
- a first data collection sensor station further comprising:
- an artificial intelligence processing warning and control system with at least one specifically programmed computer system further comprising expert system processing of captured IoT sensor data information with interpretation of that information based on human expert defined parameters, parameter ranges, parameter range subsets, and propositional logic rules based on parameter values;
- non-transient memory for storing data and particular computer executable program code;
- at least one processor for executing said particular computer executable program code;
- at least one transceiver connection for communicating via IoT communication links;
- said IoT communication links providing said first data collection sensor station expert designated connections to receive information indicative of operational status of other expert predesignated data collection sensor stations, telecommunication equipment, or monitor units for performance and/or fault monitoring based on criticality to said first data collection sensor station operations, and further wherein said predesignated data collection sensor stations, telecommunication equipment, and monitor units operate independently with centralized controlled organization;
- said first data collection sensor station receiving multiple input signals comprising:
- (1) input signals from said first data collection sensor station one or more connected or contained sensors;
- (2) input signals from one or more other different expert predesignated IoT data collection sensor stations or monitor units indicative of operational status of said different predesignated data collection sensor stations or monitor units;
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- (3) input signals indicative of the operational status of expert predesignated IoT distributed telecommunication equipment;
- said first data collection signal sensor station further comprising input signal processing and adaptive ranking of importance of said above input signals (1), (2), and (3) with signal parameter evaluation and assignment to expert defined ranges depending on level of concern indicated by said parameter evaluation for use in expert system analysis;
- said first data collection signal sensor station artificial intelligence processing further comprising multi-stage hierarchical expert system analysis of said above individual processed and ranked input signals (1), (2), and (3) and generating:
- (4) each successive individual output from each stage of said hierarchical expert system analysis including the final stage output;
- generation of warning and control signals based on each of individual processed and ranked input signals (1), (2), and (3) and further based on the output signals (4) of each stage of said multi-stage hierarchical expert system analysis including the final output stage, whereby individual alarm and control signals are generated based on individual network element performance or failures issues and also based on multi-stage hierarchical expert system analysis of combinations of multiples of those individual network element performance or failures issues;
- signal processing receiving each of separate individual processed and ranked input signals (1), (2), and (3) in addition to (4) each successive individual output from each stage of said hierarchical expert system analysis including the final output stage for use in derivation of adaptive feedback control for use in dynamic ranking of input signals presented to said expert system analysis, and;
- whereby said combination of capabilities provides improved IoT Big Data performance monitoring and fault detection efficiency by minimizing Big Data access and processing operations achieved through said expert predesignation of critical IoT network elements for monitoring with communication of information indicative of status of said critical IoT network elements to said first data collection signal sensor station, and further with information processing based on distributed artificial intelligence, efficient multi-stage hierarchical expert system signal processing with fewer propositional logic statements, adaptive feedback control, and distributed warning and control signal generation and processing.