Internet of Things (IoT) enabled wireless sensor system enabling process control, predictive maintenance of electrical distribution networks, liquid and gas pipelines and monitoring of air pollutants including nuclear, chemical, and biological agents using attached and/or embedded passive electromagnetic sensors

A method of enabling process control and predictive maintenance comprising steps of:

• a. Installing one or a plurality of Passive Electromagnetic Sensors as a component of a utility grid;
• b. Installing at least one Electromagnetic Controller Communicator in a location physically separated from said Passive Electromagnetic Sensors;
• c. Activating said Passive Electromagnetic Sensors by receipt of Radio-Frequency pulses from said Electromagnetic Controller Communicator;
• d. whereby said Passive Electromagnetic Sensors harvest electromagnetic impulses and converts said electromagnetic impulses into an Acoustic Wave;
• e. Modifying said Acoustic Wave to create a modified wave form based on a phenomena to be measured;
• f. Transmitting said modified wave form from said Passive Electromagnetic Sensors to said Electromagnetic Controller Communicator, whereby said Electronic Controller Communicator computes said modified wave form into a phenomena measurement value, which generates phenomena measurement information, alarms, orders, and mapping information data;
• wherein the Electromagnetic Controller Communicator computes phenomena data and processes measurements it receives from the Passive Electromagnetic Sensors,
• wherein said Electromagnetic Controller Communicator maps the phenomena data, which creates a wellness map,
• wherein the Electromagnetic Controller Communicator compares resulting multidimensional phenomena information to normal and abnormal relational models, and
• wherein the Electromagnetic Controller Communicator generates alarms and issues commands to other machines to restore wellness of the utility grid in case of matches to abnormal relational models.