It would be nothing short of magic if you could control all things in your life with a remote control. Consider your car parked under the scorching peak summer sun. You get back after lunch to drive it back to office. As soon as you sit inside, you feel stuffy and the heat inside literally burns your skin. Now imagine if you had a remote control to cool it down while having your dessert. Whoa! That would be such a relief on a hot day.
At Rivigo, we are also creating such magic by enabling our customers to control the transportation process remotely. While in a typical setup, one-way IoT technology is used to track vehicles, reefer temperature, fuel values etc., we’ve taken this to the next level by building two-way IoT systems.
We have a pool of sensors installed in our vehicles like GPS sensor, temperature sensor, fuel sensor etc. These sensors send multiple data signals every minute about the state of the vehicles. We process, store and analyse this data continuously to ensure proper functioning of systems on the road. We have built a full proof IoT system to detect fuel theft, solving one of the most rampant problems in the logistics industry. Similarly, managing the correct temperature in temperature-sensitive shipments is very critical. Difference of a few degrees in temperature settings might change the taste of Apple, or in case of pharmaceuticals it may render the medicine ineffective. How do we then make our IoT systems intelligent enough that every product and consignment has their respective temperature and reefer system properly set up? How do we correct manual errors and create an easy way of making temperature change possible and reducing error impact time?
The answer is in building a two-way temperature control system for reefer trucks. Our reefer AC unit is installed with a firmware and connected to the internet which helps us control this AC unit remotely. Our algorithm analyses temperature data coming every minute, smoothens this data removing outliers (fluctuations) and detects whether the reefer truck is shipping a commodity at its best-fit temperature. If not, the algorithm triggers instructions to this unit to set the correct temperature. This way, it becomes a 2-way IoT system that eliminates the need for manual efforts to maintain and ensure that the temperature is adhered to.
This two-way architecture of IoT is heralding innovation, bringing more transparency and control when needed while reducing the correction time and error rates. A good temperature control system along with relay model driven transportation adds 4-5 days of shelf life to client commodities, especially fruits and vegetables. At Rivigo, we are constantly working on such solutions to create the future of smart trucking.