Optimization of boring by a tunnel boring machine as a function of ground/machine interactions

A system comprising:

• a database storing a set of boring parameters characterizing formation of a bore by at least one given tunnel boring machine over at least one boring site and storing a ground/machine interaction model determined by:
• identifying a set of energy formulas depending on at least one of the set of boring parameters, the at least one boring parameter including a torque of a cutting wheel of the at least one given tunnel boring machine, a speed of rotation of the cutting wheel of the at least one given tunnel boring machine, a speed of advance of the at least one given tunnel boring machine, a contact force of the at least one given tunnel boring machine, a surface area of the cutting wheel of the at least one given tunnel boring machine, a radius of the cutting wheel of the at least one given tunnel boring machine, and a confinement pressure at an axis of the at least one given tunnel boring machine,
• determining a set of variables based on the energy formulas thus identified, the set of variables including an average, maximum, and/or standard deviation of the energy formulas,
• applying a non-supervised classification algorithm to the variables so as to obtain groups of individuals identified according to a predefined criterion of the non-supervised classification algorithm, and
• applying a supervised classification algorithm to the variables and to the groups of individuals thus determined so as to obtain a ground/machine interaction model connecting the variables to the groups of individuals;
• and
• a processor configured to:
• measure, while boring a ground with a tunnel boring machine, at least one boring parameter, the at least one boring parameter comprising a torque of a cutting wheel of the tunnel boring machine, a speed of rotation of a cutting wheel of the tunnel boring machine, a speed of advance of the tunnel boring machine, and a contact force of the tunnel boring machine,
• determine the group of individuals corresponding to the measured at least one boring parameter using the ground/machine interaction model, and
• modify at least one of the boring parameters of the tunnel boring machine as a function of the group of individuals thus determined.