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INTERNATIONAL SCIENTIFIC JOURNAL
MODERN APPROACHES TO CREATING INDUCTIVE TRACK SENSORS
FOR MONITORING RAILWAY INFRASTRUCTURE
A.A. Saitov
Abstract.
This scientific article explores the use of inductive track sensors in
modern axle counting technologies for monitoring railway sections within automation
and telemechanics systems. It describes the method of integrating automation and
telemechanics control devices on railway hump yards with the electric interlocking
system. The study demonstrates that, based on these technologies, it is possible to
monitor moving track sections at speeds of up to 250 km/h using an inductive track
sensor designed for axle counting of wheelsets. Additionally, the article presents the
circuit diagram of the inductive sensor and the amplifier circuit graph.
Keywords:
induction, sensor, control, section, wheelset, axle counting method,
haul, station, passage.
Introduction
With the increasing intensity of railway transportation, there is a growing
demand for reliable and accurate systems to monitor the condition of tracks and
rolling stock. Inductive track sensors are a key component of automated train control
systems. Their primary function is to detect the presence of a train on a specific track
section, as well as determine its speed and direction of movement. Modern
technologies require high precision, resistance to external interference, and the ability
to integrate with intelligent railway automation systems.
1. Purpose and Application Areas of Inductive Sensors Inductive sensors are
used for:
•
detecting the presence of rolling stock on a controlled track section;
•
determining the direction of movement;
•
registering the train's speed;
•
activating safety systems (such as signaling systems and automatic barriers).
They are widely used in automatic block signaling systems, dispatching control,
automatic signaling, and railway crossing protection systems.
2. Operating Principle of Inductive Track Sensors The operating principle of an
inductive sensor is based on changes in the electromagnetic field when a metal object
approaches. Typically, a coil energized by alternating current is used. When a metal
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object (e.g., a wheelset of a railcar) enters the field, the magnetic flux changes, which
is detected by the signal processing circuit.
A typical circuit includes: • an alternating current generator; • an inductive
element (coil); • sensitive electronics (amplifiers, filters, comparators); • an interface
for transmitting data to the control system.
Figure 1. Installation of inductive track sensors on a railway section.
3. Modern Technologies and Innovations in Design Modern sensors differ
significantly from outdated models in several ways: the use of microprocessor-based
circuits; digital signal filtering and resistance to interference (including from the
overhead catenary system); the ability for remote diagnostics and configuration;
modular construction, which simplifies maintenance and replacement; and energy-
efficient power supply circuits. Developments are underway for wireless
communication options using protocols such as LoRa, ZigBee, or GSM-R, enabling
integration into Intelligent Transport Systems (ITS).
4. Design Considerations for Railway Inductive Sensors Key factors considered
during development include:
•
Reliability and resistance to environmental conditions (moisture, dust,
vibration, frost);
•
Compatibility with existing infrastructure (various track gauges and rail types);
•
Safety
—
eliminating false triggers;
•
Modularity
—
allowing for quick component replacement;
•
Energy independence
—
some solutions are powered by energy generated from
passing trains (energy autonomy). Simulation methods in ANSYS, COMSOL
Multiphysics, and other CAD tools are used to optimize the magnetic field and coil
design.
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5. Examples of Modern Inductive Solutions Examples of products and
implemented solutions: Siemens Trackguard
—
high-precision sensors with digital
interfaces; Frauscher Wheel Sensor RSR180
—
highly resistant to interference,
suitable for various types of switches; Russian analogues
—
developed by NPO
“Mostovik,” LLC “Translink,” and JSC “NIIAS” using domestic components and
advanced filtering algorithms. 6. Advantages and Limitations Advantages:
•
High accuracy in wheelset detection;
•
No physical contact;
•
Resistant to dirt and weather conditions;
•
Low energy consumption.
Limitations:
•
Susceptibility to magnetic fields from heavy rolling stock;
•
Requirement for precise calibration;
•
Installation complexity in non-standard areas (switches, bridges).
7. Development Prospects Key directions for future development include:
•
Integration with machine vision systems and artificial intelligence;
•
Use of nanomaterials to enhance sensitivity;
•
Full digitization and transition to cloud-based data storage platforms;
•
Development of intelligent algorithms for self-diagnostics and failure
prediction.
Conclusion.
Modern inductive track sensors are a vital component of railway
automation. Their ongoing development aims to improve reliability, accuracy, reduce
operational costs, and ensure integration with intelligent transport systems. The trend
toward digitalization and AI implementation opens up broad prospects for more
flexible and safer railway traffic management.
List of References:
1.
Демин В.А., Колесников А.В. Системы автоматики и
телемеханики на железнодорожном транспорте —
М.: Транспорт, 2018. ISBN:
978-5-277-03760-4.
2.
Frauscher Sensortechnik GmbH. White Paper: Inductive Wheel
Detection and Axle Counting Systems
—
Austria, 2020.
(Описаны современные индукционные технологии в железнодорожных
системах контроля)
3.
Кирсанов А.И. Железнодорожная автоматика и телемеханика:
учебник для вузов —
М.: Маршрут, 2021. ISBN: 978
-5-98750-189-6
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4.
Siemens Mobility Technical documentation for Trackguard systems
—
Siemens AG, 2019.
(Содержит информацию о
современных индукционных и релейных системах обнаружения)
5.
Мирошниченко И.Л. Сенсорные технологии в транспорте —
СПб: Изд
-
во СПбГУ, 2020. (Отдельные главы посвящены индукционным и
магнитным датчикам движения и положения)
6.
Яковлев А.Н., Орлов А.В. Микропроцессорные системы
автоматизации на железнодорожном транспорте —
М.: Транспорт, 2022.
7.
Pavel Krömker, Detlef Schütze (eds.) Condition Monitoring of Rail
Infrastructure Systems
—
Springer, 2020. DOI: 10.1007/978-3-030-52954-9.
8.
Шляхтин В.В., Кожемяко А.Н. Моделирование процессов в
железнодорожной автоматики и телемеханики —
Новосибирск: СГУПС, 2021.
9.
Mahmoud Mesbah, Andrei Zamyatin Track Monitoring Using
Inductive Sensors // Journal of Rail and Rapid Transit, 2021. DOI:
10.1177/09544097211024536.
10.
ISO 21282:2020 Railway applications
—
Inductive sensors for detection
of wheelsets
—
International Organization for Standardization.
