When collecting telematics data from different carriers, delays and discrepancies in information quality are often detected.
This is due to the fact that each carrier uses its own equipment and individual data transmission frequency settings.
For example:
- Some devices transmit messages every 60 seconds or less frequently to save data;
- Some drivers intentionally distort data by blocking the GSM or GPS signal;
- This results in inaccurate coordinates or no geolocation at all being transmitted to the system.
For large companies that aggregate data from multiple contractors and use it in WMS systems, such errors are critical: delays and incomplete data lead to reporting failures and disruption of business processes.
Project Goal
To develop a tool for automatic evaluation and quality control of telematics data received from a large number of monitoring objects.
Implemented Solution
The company’s engineers created a specialized telematics data processor that analyzes the message stream from each device and evaluates transmission quality using key metrics:
- Number of messages with a delay of more than 300 seconds;
- Percentage of delayed messages out of the total;
- Average message delay;
- Average delay when moving (> 4 km/h);
- Average time between messages;
- Maximum delay;
- Number of messages with coordinates;
- Percentage of messages with coordinates out of the total number.
The analysis results in a consolidated report for all assets, showing the data’s relevance and the availability of GPS coordinates.
Implementation
A large industrial client with over 20 contractors encountered data from various monitoring systems that did not meet the requirements of the logistics platform.
Objective:
- Integrate telematics data from all carriers into a single platform.
- Ensure data receipt at least once every 60 seconds.
- Provide a data quality report for contractor monitoring.
Implementation:
- Data from various systems was consolidated onto a single platform.
- Algorithms for validating and filtering incoming information were developed.
- An analysis was conducted to identify delays, missing coordinates, and parameter inconsistencies.
- Processed data was transferred to the client’s system.
- A report with a visual quality assessment for each asset was prepared.
Results
- All data is aggregated and transmitted without delay, in real time.
- The client receives an objective assessment of the data quality for each carrier.
- The accuracy of analytics and the reliability of logistics reports have been improved.
The developed tool has become an important element of the telematics quality control system.
Now the client can assess the accuracy and timeliness of data in real time and make reasonable demands on contractors.