Big Data, the power of information for Smart Fleets
Transportation companies are transforming vehicle fleet management and business operation towards smart mobility solutions to stay competitive in the sector.
The smart fleet movement is happening now! Data analysis plays the most important role in the operation, the Internet of Things (IoT) is expanding rapidly and this includes increasing connectivity in the Transportation Sector.
Big Data technology is constantly evolving and is projected as a key factor in future decision making, more and more companies are adopting the challenge of Digital transformation.
Below we share how Didcom® has implemented Big Data technology in order to obtain great value information for our strategic partner MAN Truck & Bus Mexico, a sample of the potential and scope generated when data is converted into information.
Highlights
Period. 21 Months
Number of units. 392
- Total data processed. 960,334,443
Almost 1 billion, of which 38.7% is engine data, and 61.3% is GPs positioning data.
- Mileage. 52,763,690
137 trips from earth to the moon.
- Hours. 910,937
104 years, more than a century of hours.
- Fuel. 14,998,665
Equivalent amount to fill 6 Olympic pools.
Study Content
Data Accumulation
The total accumulated data comes from 392 units of different models, of which the RR4 480 6×2 model stands out with 31.7% of the total fleet, being the most active model in operation.
The accumulation of data has been gradual according to the addition of units to the platform, reaching a daily average of 1,500,000 records and peaks of more than 1,980,000 records.
The highest percentage of data comes from the GPS positioning (latitude & longitude), this due to the fact that the location of the unit is being continuously sent in real time, instead the engine data is programmed based on programming according to parameter type.
COVID-19 effect
The COVID-19 effect represented an average decrease of 57% in data collection, the largest difference was between mid-March and mid-April, reaching a 75% decrease in daily records. At the end of June, a gradual and sustained recovery has been on the lowest level recorded.
The D2676 and 17.280 models were also found to have a more stable operation and were less affected, a sample that indicates that freight transport remained active as a fundamental part of the movement of products and deliveries.
Fuel efficiency
Having the performance summarized by model allows an overview of the efficiency by model, however, there are many additional factors that must be taken into account to determine the real performance of the unit, since the type of route to which unit has been selected.
By breaking down integrated features by model, it allows to delve into the result in a more analytical way, since additional variants are opened that are a very important factor for comparison (year, body, chassis, euro).
and an average consumption of 16.47 lts / hr.
50,000 kilometers of accumulated records were considered,
in order to have proven results in a large data dimension
Operating Ranges
One of the main objectives of analyzing operating ranges is to help convert simple logs into statistics, trends and projections, which allow detecting patterns in the operation, and anticipating any eventuality.
For the operating ranges analysis, 9 variable rate parameters were considered (RPM, km / hr, gear, torque, engine temperature, oil pressure, fuel level, urea level and battery voltage), which at the histogram level, its operating range is represented in percentage measurement to identify if its behavior is within the established limits and if not, determine corrective actions in the operation.
Motor and Collar Protection
Having the operations records generates opportunities to correct, allows to take preventive measures to eliminate the possibility of unexpected maintenance problems, very valuable information for a maintenance analysis and mainly to avoid unnecessary expenses in repairs and increase operational and business profitability.
Collar Protection
In total, 131,108 events were recorded, which have an average duration of 5 minutes per event, safeguarding its functionality and increasing its useful life by more than 10,925 hours of operation.
Motor Protection
In total, 4,162 engine protection alert events were recorded, of which 81.81% are related to low engine oil pressure, 14.75% to low coolant level and 3.44% to high engine temperature.
The highest percentage of possible engine failures lies in the “low oil pressure”, a total of 94 units (56.29%) have presented this condition, followed by the “low coolant level” with 79 units (47.31%) and finally the “high engine temperature” with 42 units (25.15%).
Fault Codes
Success for any maintenance management is turning corrective maintenance into preventive maintenance, with engine fault code information you can stop engine problems before they are costly to manage and repair.
71.9% of the total units have presented at least one fault code, being the D2676 model the one that registers the highest number of events, followed by the RR4 480 6×2 and RR2 480 4×2 models.
The highest number of failures come from the ZBR2 module with 41.1% of the total records, followed by the AST module with 20.1% and in third place is the EBS module with 19.4%.
and their distribution among them were identified, which offers clarity to determine
the causes that cause them and their possible impact.
Conclusion
The key to Big Data is to ensure the availability of useful and relevant data to discover gaps and detect optimization opportunities. Keeping your Vehicle Fleet in operation is a priority for every Transportation Company and Technology is the key to efficiency, competitiveness and profitability.
Didcom® Telematics Solutions are a strategic investment, which when integrated into your fleets will boost productivity, taking proactive measures, creating advantages and opportunities for operational and business profitability.
Transportation Companies that digitize their operational processes will be benchmarks for efficiency in the sector, will keep operating costs low, avoid unnecessary expenses, generate savings and considerably increase their productivity.
You can consult here the complete study carried out for MAN Truck & Bus Mexico Data Science 2018 -2020 “The Power of Information” Powered by Didcom®.
We invite you to know more about the “Success Case” of the Digital Transformation proposal and the Telematics Services offer of MAN Truck & Bus Mexico for the market in Mexico.
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