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 the following steps:

• a. Installing at least one Passive Electromagnetic Sensor as a component of distribution hardware;
• b. Installing at least one Electromagnetic Controller Communicator in a location physically separated from said Passive Electromagnetic Sensor;
• c. Activating said Passive Electromagnetic Sensor by receipt of Radio-Frequency pulses from said Electromagnetic Controller Communicator;
• d. whereby said Passive Electromagnetic Sensor harvests 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 Sensor 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;
• g. Communicating said data by said Electronic Controller Communicator's communication means to a computer, whereby said computer assembles said data into a comprehensive process control and predictive model.
• h. Transmitting said process control and/or said predictive model to at least one user computer.

A method of computing a phenomena value from a modified acoustic wave, comprising the steps of:

• a. An electromagnetic controller communicator emitting an electromagnetic wave where said electromagnetic wave is captured by an inbound interdigital transducer located on a passive electromagnetic sensor;
• b. Wherein said interdigital transducer converts said electromagnetic wave to an acoustic wave, which travels along a propagation path;
• c. Wherein said acoustic wave passes through a test delay gap and is modified based on the presence of a phenomena;
• d. Wherein a modified acoustic wave passes through an outbound interdigital transducer and is reflected back to said electromagnetic controller communicator for computation of said phenomena value.

A method of computing a phenomena value from a modified acoustic wave, comprising the steps of:

• a. An electromagnetic controller communicator emitting an electromagnetic wave where said electromagnetic wave is captured by an inbound interdigital transducer located on a passive electromagnetic sensor;
• b. Wherein said inbound interdigital transducer converts said electromagnetic wave to an acoustic wave, which travels along a propagation path;
• c. Wherein said acoustic wave passes through a test delay gap and is modified based on the presence of a phenomena;
• and
• d. Wherein a modified acoustic wave is analyzed by an onboard microprocessor, where said microprocessor computes a phenomena value.

A method of utilizing modified acoustic waves to enable process control and predictive maintenance comprising the steps of:

• a. harvesting of a first electromagnetic wave by a passive electromagnetic sensor;
• b. converting said electromagnetic wave to an acoustic wave;
• c. modifying said acoustic wave based on a phenomena to be measured;
• d. transmitting a modified acoustic wave to a microprocessor of said passive electromagnetic sensor or an electromagnetic controller communicator;
• e. whereby said microprocessor or electromagnetic controller communicator computes a value for said phenomena to be measured;
• f. transmitting said value to a network, whereby said network processes said value and determines whether said value is anomalous by comparison of said value with a known relational module;
• and
• g. whereby programming logic of said network enables process control and predictive maintenance commands based on said comparison of said value with said known relational module.