RFID identification of wagon and railway wagon numbers

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RFID-technology for automatic wagon identification

Solution for automated data acquisition about the current location of wagons on the territory of the company using RFID tags. Present solution is cheap and effective method to reduce the downtime of railway wagons and optimize material flows.

INFOCOM sp. z o.o. expertise in RFID-identification

  • Railway wagons
  • Rolling stock
  • Trucks
  • Corporate fleet
  • Parking access /car availability
  • Production logistics
  • Jewelry warehouse
  • Inventory
  • Vehicle marking
  • Access Control System

Design of identification systems for railway cars

To quickly determine the real location

The standard scope of delivery for RFID identification includes:

  • RFID tags
  • Reader
  • Inductive sensors to determine the presence of a wagon in the position of reading RFID tags
  • Software
  • Integration (data transfer) into existing systems

Efficiency increase after the introduction of an automated control system for accounting for wagons by %

Downtime 65%
Time of stay 52%
Service 15%
Performance 25%

Main advantages of RFID-identification system

Routes tracebility

Acess to actual data

High reading speed

Reduction of downtime by 90%

Data safety

Materialflow tracking

RFID (Radio Frequency Identification) – is technology of contactless data exchange based on the use of radio frequency electromagnetic radiation. RFID is used for automatic identification and accounting of objects.

Identification of railway wagon numbers

Automated accounting system of railway transport in the process of acceptance

In companies that are actively working with the delivery of raw materials, semi-finished products through railway transport, there is often a question of quickly identifying wagon numbers, reconciling them with the consignment note and entering data into the company’s accounting system.

One of the automation methods is the use of a system with video cameras to identify railway cars and tanks.

The transport system license plate recognition system uses machine vision and artificial intelligence (AI) software to automatically recognize car license plates, vehicle license plates.

License plate recognition accuracy is up to 99%.

Automated accounting system of railway transport in the process of acceptance

  • Data integration with a weighing complex (weighing in motion)
  • Mark on the weight of the wagons after the train is delivered to the unloading station (receiving the gross weight of the wagons from the weighing complex)
  • Weight mark after unloading wagons (tare weight)
  • Iidentification of wagon numbers
  • Counting the number of cars delivered to the unloading station
  • Determination and display on the mnemonic diagram of the position of the wagon during unloading
  • Comparison of car data obtained from the corporate accounting system with actual data
  • Photo and video recording of the wagon acceptance process (with reference to a specific waggon)
  • Saving the received and processed data to the database
  • Transfer of information about accepted wagons to the corporate accounting system

Design of wagon identification systems

Technologies used:

Efficiency increase after the introduction of the automated control system for accounting of wagon on 

Reducing the influence of the human factor 98%
Reduced downtime 25%
Database maintenance 52%
Productivity 42%

Control system for the passage of wagons:

  • development environment TIA Portal (or other as agreed with the Customer)
  • controller

Analytics and integration system:

  • .NET technology WPF
  • RDBMS MS SQL

The main advantages of the automatic accounting system for railway wagon

Automatic data reconciliation

Access to current information

High reading speed

Timely data control

Reduced acceptance time

Data reliability

An important factor for the employees of enterprises is the autonomous operation of the railway transport accounting system, which eliminates operator errors and does not require the involvement of permanent maintenance staff.

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