How Deep Learning and AI significantly improves safety and productivity of Plant Turnarounds and New Construction projects

A plant turnaround or construction of a new plant is a hot bed for safety violations. These violations have to be spotted in real time for any meaningful action to be taken. Spotting violations and taking corrective actions improves not only the productivity but also reduces costs and brings down the safety incidents drastically. One of the key benefits is also that a good safety monitoring solution ensures worker health and safety, which is most precious. The question is, how to achieve this?

Challenges faced by plants during project execution (Shutdown / Turnaround/ Revamp / Green field) are many, starting from ensuring and monitoring the use of PPE to monitoring whether the standard operating procedures are being followed. The primary interest of plant owners is to reduce the incidents, not just for achieving the target completion schedule, but also, to avoid jeopardising the employees’ / contract staff’ health and safety.  Over and above all this, plants have to strive towards bringing down incidents to allowable levels mandated by the safety regulatory bodies such as OSHA.

Existing safety monitoring tools in the market range from basic measures such as, safety training, flagging off PPE violations, peer reporting, etc. to the use of drones / fixed camera footage for data acquisition. However, the real challenge starts only from here, many leading plant owners that deploy drones /fixed cameras for safety monitoring, fall short of analysing the data from the footage into meaningful labels, representing the violations occurring on site.  Here is where a solution like T-Pulse from Detect Technologies differentiates itself from the rest. T-Pulse is built on an AI/ML platform, that has been trained on tera bytes of field data and is able to provide completely automated insights, such as identifying and classifying various types of violations, along with observations and recommendations. Over and above this, the system has the ability for self-learning.

T-Pulse ROI:

·      Huge savings in costs, approx.,7% increase in productivity.

·      40 Hours of added visibility per hour of processed data.

·      120% increase in detected safety violations.

·      90% decrease in trends of violations signifying cultural change enabled by the solution.

·      90% decrease in safety incidences.

·      70% increase in schedule certainty.