Adherence to procedures is required while transporting coal by rail to mitigate problems such as overloading, underloading, environmental damage, and theft. However, they are currently monitored and over supervised using methods perceived as inefficient and inaccurate due to insufficient observation techniques and hand inspection methods that rely on monitoring processes. As a response to this, the work proposes an integrated system for passive infrared sensor (PIR) and load cell monitors, which further include their analog to digital converters (ADCs) among other functions that would allow for uninterrupted monitoring of coal filling wagons across railroads. This system captures all deviations from set boundaries of aligned behavioural expectations, thus ensuring the maximum possible loading accuracy compliance when flagged. The precision of overall system weight estimation is defined by the range accuracy of load cells, while the other range of value is achieved by the ADCs that are presumed a programmable logic controller for real-time automation. An email bursts at every breach of security boundaries and every deviationelle prescribed limits, sending alarms about the arrestable event being captured. Moreover, with every predicted value that is sent towards these email systems, IF overloads or outputs these supplies paradoxically augment passive capacities of monitoring flocking for surveillance improvement. Scope of the proposal assumes control model enchains with coal fill advanced systems to enhances effective operational efficiency and safety guaranteeing evolution in surpassing the tracking transport coal systems limitations. During testing, the system achieved a load estimation accuracy of 96.8% and reduced the time for manual inspections by 78%. This improvement is remarkable in terms of operational efficiency. Overload and possible theft risks received early intervention with alarm notification latency set to under two seconds.