Real-time tension monitoring for aquaculture pen dynamics

A net monitoring system, comprising:

• a plurality of net monitoring devices, each net monitoring device comprising:
• a housing;
• a plurality of tensioning arms, each tensioning arm reversibly extendable through the housing and configured to reversibly secure to a net, each tensioning arm comprising a force sensor configured to generate a tension signal indicative of a tension applied to the corresponding tensioning arm;
• a tensioning mechanism configured concurrently retract the plurality of tensioning arms into the housing;
• an impulse generating device, configured to generate an impulse responsive to a command;
• and
• a communications device configured to receive the tension signals from a plurality of force sensors, and transmit the tension signals through water;
• and
• a controller, having one or more processors;
• and
• one or more tangible, non-transitory computer readable media operably connectable to the one or more processors and storing instructions that, when executed, cause the one or more processors to perform operations comprising:
• command at least one of the plurality of net monitoring devices to generate the impulse;
• receive the tension signals responsive to the command to generate the impulse;
• and
• extract the information from the signal;
• apply the extracted information as input to a machine learning model trained to determine a net state from the extracted information;
• determine a presence of a defect in the net.

A system for monitoring an aquaculture net, comprising:

• one or more processors;
• and
• one or more tangible, non-transitory computer readable media operably connectable to the one or more processors and storing instructions that, when executed, cause the one or more processors to perform operations comprising:
• transmitting, from a sensor coupled to a net, a signal comprising information indicative of one or more net state parameters through water;
• receiving, by a controller comprising a receiver configured to receive signals from water, the signal;
• extracting the information from the signal;
• transmitting the information to a networked device communicatively coupled to the controller;
• applying the extracted information as input to a machine learning model trained to determine a net state from the extracted information;
• transmitting the net state to the controller;
• and
• providing, for display on a user interface, a graphical representation that depicts the net state and one or more net state parameters of the net state.