P.S.I.'s TireView goes beyond just TPMS for Tires-as-a-Service (Taas), offering additional wheel-end visibility to fleets
- Craig Smith
- 1 day ago
- 2 min read
P.S.I.'s exclusive Digital ThermALERT lets fleets set their threshold temperature alerts for wheel-ends.
Excerpt from the article:
Providing Accurate Data
Adding more sensors that have unique data-capture roles and writing the code and business logic to help the software incorporate that data and provide more accurate analysis and predictive capabilities is the next step. Pressure Systems International offers a product called “TireView” for trailers, which includes tire temperature and pressure measurement, which all tire pressure monitoring systems do, and automated inflation capability, notes James Sharkey, PSI’s president.
Within its sensor package, PSI also incorporates a digital sensor — which Sharkey calls a “Digital ThermALERT” — that will alert a fleet if a user-set temperature threshold exceeds a set point.
“[It’s installed] on the trailer axle spindle and can tell if bearings are running too hot,” he explained. “We can create temperature gradients that say where the heat is coming from, whether it’s tires, wheels or bearings.”
One of PSI’s product offerings also can take into account ambient temperature and extreme weather conditions. Brake wear sensors also provide data on brake pad conditions. The data is uploaded via cellular network to the cloud and into the maintenance technician’s dashboard, and where appropriate, to the driver. The product also uses GPS to identify where the truck is when an event occurs.
“We get a holistic view of the undercarriage because all that can influence what’s going on with the tires,” Sharkey said.
As for artificial intelligence and its role in tire analytics, he noted that industry is still at the very beginning of getting all the data and digesting it.
“Our job is to help the fleet stop drinking from the [data] fire hose,” Sharkey observed, adding that he believes “the next great opportunity” is helping fleets effectively manage and organize these huge “data lakes” of information, then rationalize and organize that data so that it supports faster, more accurate decision-making and better predictive capabilities.
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