Computerized techniques for monitoring and assessing real-time and future operational and health statuses of physical components , equipment, and/or structures using machine learning based models

A method for monitoring fluid flow in a first pipe system, the method being implemented in a fluid monitoring system comprising a plurality of sensors configured to detect fluid data associated with a fluid flowing through the first pipe system;

• the plurality of sensors comprising a combination of two or more of:
• a MEMS sensor, an accelerometer, gyroscope, ultrasound sensors, and temperature sensors;
• wherein a first set of sensors of the plurality of sensors is configured or designed to be mounted to a first pipe or conduit of the first pipe system;
• the fluid monitoring system further comprising:
• a wired or wireless communication interface, and at least one processor;
• the method comprising causing at least one processor to execute a plurality of instructions for:
• detecting, using at least one of the plurality of sensors, fluid data in an x-axis, y-axis, and/or z-axis, wherein changes over times in each axis are used to train models to determine normal or abnormal conditions;
• receiving the fluid data;
• determining whether the fluid data is indicative of a normal condition or an abnormal condition;
• and
• upon determining the fluid data is indicative of an abnormal condition, at least one of:
• (i) causing a flow control valve coupled to the first pipe system to adjust;
• and (ii) transmitting to at least one remote device, via the communication interface, at least one of the fluid data and a notification relating to the fluid data.