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Electronics
  • Feature Paper
  • Article
  • Open Access

15 August 2022

Assessment of the Impact of Emitted Radiated Interference Generated by a Selected Rail Traction Unit on the Operating Process of Trackside Video Monitoring Systems

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1
Division of Electronic Systems Exploitations, Institute of Electronic Systems, Faculty of Electronics, Military University of Technology, 2 Gen. S. Kaliski St., 00-908 Warsaw, Poland
2
Signalling and Telecommunications Laboratory, Railway Research Institute, 50 Chłopickiego St., 04-275 Warsaw, Poland
3
Constructions Safety Department, The Main School of Fire Service, 52/54 J. Słowackiego St., 01-629 Warsaw, Poland
4
Division Telecommunications in Transport, Faculty of Transport, Warsaw University of Technology, 75 Koszykowa St., 00-662 Warsaw, Poland
This article belongs to the Special Issue Feature Papers in Industrial Electronics

Abstract

The article presents a method for assessing the impact of radiated electromagnetic interference generated by a selected rail traction unit on the operational process of trackside video monitoring systems (VMS). VMSs operated throughout an extensive railway area are responsible for the safety of people and property transport processes. Emissions of radiated electromagnetic interference generated in an unintended manner by traction vehicles within a railway line lead to interference in the VMS operating process. Based on the knowledge of actual VMS operating process data, spectral characteristics and values of individual components of disturbing signals occurring in the emissions of radiated electromagnetic interference, it is possible to determine the parameters of damage intensities for the devices and elements of this system. Using that data enables determining the VMS reliability parameters within its operating system, for an extensive railway area. The article’s authors first discussed the basic issues associated with VMS, followed by analysing the topic’s current status. They also presented issues related to measuring interference radiated within a rail area, developed a selected operational process model, and determined selected operational indicators for the structures in question. The paper ends with conclusions.

1. Introduction

Video monitoring systems (VMSs) are one of the most important electronic security systems (ESS). They operate in buildings, open areas, parking lots, logistics bases, airports, etc., and extensive public and railway areas [1,2,3]. Depending on the operational mode within extensive areas in warehouse and railway facilities, VMSs can be divided into two groups:
  • Stationary, i.e., operated in facilities permanently set on the ground (foundations), e.g., railway stations, platforms, tunnels, level crossings, turnpikes, underground passages, warehouses and logistics bases storing spare parts, repair workshops, parking spaces—parking lots, warehouse buildings, driveways, etc. [4,5,6];
  • Non-stationary (facilities not permanently fixed to the ground)—e.g., locomotives, electric multiple units, electric locomotives, passenger and freight carriages, trucks, mass transit vehicles and vehicles intended for transporting various materials, etc. [7,8,9].
Both VMS and all ESSs (especially the fire alarm system—FAS) must send information on their ongoing technical status via two independent telecommunication channels to an Alarm Receiving Centre (ARC) or the State Fire Service (PSP) [10]. The most important ESS operational technical states include the states of alerting, monitoring and damage, whereas the latter is sent only to ARC in the case of FAS [11]. The use of two independent telecommunications channels to exchange information within security systems is associated with ensuring a certain level of reliability, especially in the case of alerting states [12]. In the case of stationary and non-stationary VMSs within a railway area, the facilities of which are classified as the so-called state critical infrastructure (SCI), it is essential to ensure proper organization of the entire system notifying of threats within a railway area and not only the VMSs [12,13]. This is why the following telecommunications lines are set up for stationary and non-stationary VMSs:
  • Stationary VMS—Permanent telecommunications link in the form of a leased telephone line using a railway optical fibre network (protected against wide-frequency band electromagnetic interference within the railway area), as well as a wireless (encrypted) link with a modular signal, which is IT-protected against an intentional third-party and internal attack [14,15];
  • Non-stationary VMS—Two independent wireless telecommunications links utilizing various transmitter carrier frequencies, modulated with a digital signal in alarm control units (ACU), which are resistant to electromagnetic interference generated within an extensive railway area, encrypted with appropriate transceiving antenna characteristics [16,17].
In addition, in the case of stationary and non-stationary VMSs, all technical facilities that utilize this system shall be equipped with a local device for recording video-recorder signals of specified external memory size, the technical parameters of which are set out in domestic regulations (e.g., stadiums) [18,19,20].
A supplementary and very important issue associated with the VMS and ESS operation process is ensuring specific power supply reliability for these systems operated in a stationary and non-stationary manner [21,22]. ESS shall have ensured basic power supply—from an industrial power grid (stationary facilities) or via transducers from a railway overhead contact line (3 kV DC) (non-stationary facilities) [23,24]. Backup power supply, most often in the form of a battery bank of specific capacity determined by the power balance, is organized in order to guarantee proper ESS functioning in the event of basic power supply failure. This guarantees the functioning of these systems in the monitoring and alerting modes for a time specified by regulations and standards [25,26]. Information on the technical condition of a backup power supply (e.g., battery bank or UPS voltage level, etc.) shall be monitored continuously by the security system alarm control unit, and the information regarding this parameter should be sent to ARC, just like other security signals. In addition, battery banks are located in a metal housing with ACU. The metal housing is locked with a coded lock. In addition, it is monitored with an anti-tampering contact, which generates an alert signal in the event of an unauthorized opening [12,25].
An extensive railway area experiences a distorted electromagnetic environment generated by stationary (radio transmitters and TV transmitters, GSM-R, power supply and overhead contact network, etc.) or non-stationary (electric multiple units, rail carriages, portable security system transmitters, etc.) radiation sources [27,28]. Electromagnetic radiation within a railway area is generated intentionally—e.g., wireless signals of security systems, cellular telephony such as GSM—these signals will be used by authorized railway services. Other sources generate unintentional electromagnetic radiation—e.g., power supply, railway overhead traction lines, high current and voltage consumers—e.g., traction converters, locomotive motors present within these areas [29,30]. Electromagnetic interference generated within a railway area is characterized by a very broad spectrum, from low (single Hz) to very high (single GHz) frequencies. This is due to this railway system accumulating various sources of radiation used by railway workers, as well as power supply and overhead contact line systems used by the pantographs of electric locomotives to draw high-value current (in the order of several dozen kA) upon startup for a short period. It is a serious problem related to the distortion of the electromagnetic environment within such a railway area. Therefore, conducted and radiated interference shall be considered [31,32,33]. The selected aforementioned issues of ESS and VMS operation throughout an extensive railway area are presented in Figure 1.
Figure 1. Operational issues, i.e., environment, electromagnetic interference, legal restrictions, telecommunications, etc., resulting from VMS within a railway area.
Figure 1 shows only the selected operational aspects of ESS use within an extensive railway area. The geometric figure in No. 12 shows examples of regions with low and high-frequency band electromagnetic interference originating only from overhead contact lines and systems supplying the entire railway area. High-frequency band electromagnetic interference, so-called radiated interference, occurs throughout the railway area, and its value depends on, among others, distance from the source of a signal generated intentionally or unintentionally.
The rest of this article is organized as follows. Section 2 is a critical review of the source literature on the current state of the issue in question. The analysis of fundamental issues related to the measurement method and test results involving interfering electromagnetic signals make up Section 3. Section 4 presents a reliability and operation simulation of a CCTV system for selected damage intensities. It also contains simulation results. The final, fifth chapter contains conclusions arising from the conducted tests and computer simulations.

2. Literature Review

Variable environmental conditions, a change in low- and high-frequency electromagnetic interference level in particular (conducted, coupled L, C and radiated interference) is one of the significant factors [34,35,36] leading to a direct change in the damage intensity λ. This operating parameter λ directly impacts the reliability of VMS elements, modules and devices, as well as VMS functioning. Therefore, the authors of [37,38,39] discussed electromagnetic interference from the entire frequency band generated within an extensive railway area, specifying their levels, amplitudes and spectra [40,41]; however, they failed to analyse their impact on the reliability of individual system elements (e.g., camera, recorded, switch, etc.) or the entire VMS.
Variable, pulsed, and non-linear power supply line loads of high inrush currents can present within an overhead railway line and lead to current harmonics appearing in power supply lines [42,43,44]. They can cause VMS and ESS functioning interference and be the reason for additional losses in transformer cores and traction vehicle startup motors. The pulsed loads occurring within the power supply and overhead contact networks also cause changed rated voltages [45,46]. This may lead to unacceptable changes in the guaranteed voltage level (U = 12 V) for individual VMS elements [43,47]. The presence of harmonics in a power supply and overhead contact network [48,49] also means additional losses in the cables themselves, especially the ones supplying individual VMS and ESS elements (e.g., cameras), which are distributed throughout an extensive railway area (e.g., failure to satisfy the condition of permissible supply line voltage dip) [50,51,52]. The presented source literature on the phenomena in power supply lines does not reference a change in damage intensity λ. The studies conducted by the article’s authors enable assessing the impact of the aforementioned interference on VMS reliability.
A variable, pulsed load in an overhead contact line and power lines supplying an extensive railway area cause electromagnetic interference of large amplitudes from within the entire frequency band [53,54,55]. The occurring electromagnetic interference that causes conducted interference (e.g., common grounding impedance), inductance coupling or parasitic capacitances for VMS elements or devices through signal lines or cables providing the supply voltage [56,57,58]. Conducted interference from a higher frequency band (above 30 MHz) propagates into the surrounding space within a railway area through the generally available environment [59,60]. Individual VMS elements and devices with external conduits or metal housings with openings and wide bandwidth antennas are treated by these interfering signals as parasitic signal receivers [61]. In their articles, the authors did not analyse the impact of interference on the reliability of electronic components. In the case of non-linear elements that comprise VMS, these signals may interfere with or change the processing characteristics or cause the presence of intermodulation phenomena [62,63]. In the course of studying the characteristics of radiated interference generated within a railway area, a method was proposed that would enable the determination of a change in the intensity index λ for VMS elements or equipment operated within such a railway area.
An important issue related to security systems, including VMS, is also the process of diagnosing their technical condition [64,65,66]. Generally available articles and studies present general assumptions of measurement systems that implement this important operational process under the following static and dynamic conditions, employing various diagnostic techniques and technical solutions [12,17,67]. However, these studies do not take into account the impact of natural or artificial electromagnetic interference present within a railway area. They result from, e.g., long signal loops of cameras, control lines for PTZ cameras and devices transmitting an alert or damage state [17,68,69]. The authors of the said papers mitigated these errors contributed by interfering signals [12,70]. Testing the electromagnetic interference present in a railway environment, as well as the observation and measurement of output signals in alarm control units where the decision-making process takes place—i.e., conditioning and working out output waveforms—enables determining the impact of the aforementioned factors, e.g., on the output signal informing about the monitoring, alerting or damage state, or other forced operation process [12,17,65,71].
An important issue associated with the VMS operation processes is the transmission of video, alerting, monitoring, or damage signals to ARC [12,72,73]. The authors of published articles took only the basic problems into account. This included reliability, availability, quality or, e.g., transmission time to ARC [17,74,75]. In contrast, the authors of the developed article also conducted an analysis of notification and ARC service response to a damage signal [12,17,76]. The calculations conducted as part of this article included this parameter, e.g., in VMS recovery intensity µ [12,17,77]. It is an issue that is particularly important for restoring a VMS to an original (initial) state—i.e., the state of fitness of an entire system [78,79,80,81].
The authors were unable to find cases (research, results, as well as theoretical analysis) focusing on the impact of unintentional electromagnetic field emissions within this frequency range on the operation process of electronic systems, VMS in this case, within the analysed articles presented in the critical source literature review. A railway VMS system is responsible for traffic safety. It is one of the priority systems besides the railway traffic control system. The article is the first of its kind in this field, which addresses issues associated with the impact of unintentional electromagnetic field emissions within a selected frequency range on the operation process, i.e., reliability or the availability factor. This is preliminary research, and the authors plan to extend it to various rail vehicles.

4. Assessment of the Impact of Emitted Radiated Interference Generated by a Rail Traction Vehicle on Trackside Video Monitoring Systems

Analysing the impact of emitted radiated interference generated by a rail traction vehicle on a trackside video monitoring system makes it possible to illustrate the reliability and operational relationships, such as the example shown in Figure 15.
Designations in Figure 15:
  • RO(t)—probability function of a trackside video monitoring system staying in a state of full fitness SPZ,
  • QZB1(t)—probability function of a trackside video monitoring system staying in a state of partial fitness I SZB1,
  • QZB2(t)—probability function of a trackside video monitoring system staying in a state of partial fitness II SZB2,
  • QB(t)—probability function of a trackside video monitoring system staying in a state of unfitness SB,
  • λZB1—intensities of transition from a state of full fitness SPZ to a state of partial fitness I SZB1,
  • λZB2—intensities of transition from a state of full fitness SPZ to a state of partial fitness II SZB2,
  • μPZ1—intensities of transition from a state of partial fitness I SZB1 to a state of full fitness SPZ,
  • μPZ2—intensities of transition from a state of partial fitness II SZB2 to a state of full fitness SPZ,
  • μB0—intensities of transition from a state of partial fitness I SZB1 to a state of full fitness II SPZ,
  • μB1—intensities of transition from a state of unfitness SB to a state of full fitness SPZ,
  • λB1—intensities of transition from a state of partial fitness I SZB1 to a state of unfitness SB,
  • λB2—intensities of transition from a state of partial fitness II SZB2 to a state of unfitness SB,
  • ΓZB1, ΓZB2, ΓB1, ΓB2—impact coefficients of radiated interference.
Full fitness SPZ is a state in which a trackside video monitoring system functions correctly. Partial fitness SZB1 is a state in which a trackside video monitoring system is partially fit (parallel coupling occurs). Partial fitness SZB2 is a state in which a trackside video monitoring system is partially fit (serial coupling occurs). Unfitness SB is a state in which a trackside video monitoring system is unfit (radiated interference exceeds permissible values).
Suppose a trackside video monitoring system is in a state of full fitness SPZ and the interference occurs in the form of parallel coupling. In that case, the system switches to a state of partial fitness I SZB1 with the intensity of λZB1. If a trackside video monitoring system is in a state of partial fitness I SZB1, then it is possible to switch to a state of full fitness SPZ, provided that actions are taken to restore the state of fitness.
In the event of a state of partial fitness I SZB1 and the interference exceeding permissible values, the system switches to a state of unfitness SB with the intensity of λB1.
If a trackside video monitoring system is in a state of full fitness SPZ and interference occurs in the form of parallel coupling, then the system switches to a state of partial fitness II SZB2 with the intensity of λZB2. Suppose a trackside video monitoring system is in a state of partial fitness II SZB2. In that case, it is possible to switch to the state of full fitness SPZ, provided that actions aimed at restoring the state of fitness are taken.
In the event of a state of partial fitness II SZB2 and the radiated interference exceeding permissible values, the system moves to a state of unfitness SB with an intensity of λB2.
If a trackside video monitoring system is in a state of partial fitness I SZB1 and radiated interference changes from parallel to serial coupling, then the system switches to a state of partial fitness II SZB2 with the intensity of µB0.
Suppose a trackside video monitoring system is in a state of unfitness SB and remedial actions are taken to restore a state of fitness. In that case, it switches to a state of full fitness SPZ with the intensity of µB1.
The system shown in Figure 15 has been characterized by the following Chapman–Kolmogorov equations:
R 0 ( t ) = Γ Z B 1 λ Z B 1 R 0 ( t ) + μ P Z 1 Q Z B 1 ( t ) Γ Z B 2 λ Z B 2 R 0 ( t ) + μ P Z 2 Q Z B 2 ( t ) + μ B 1 Q B ( t ) Q Z B 1 ( t ) = Γ Z B 1 λ Z B 1 R 0 ( t ) μ P Z 1 Q Z B 1 ( t ) Γ B 1 λ B 1 Q Z B 1 ( t ) μ B 0 Q Z B 1 ( t ) Q Z B 2 ( t ) = Γ Z B 2 λ Z B 2 R 0 ( t ) μ P Z 2 Q Z B 2 ( t ) Γ B 2 λ B 2 Q Z B 2 ( t ) + μ B 0 Q Z B 1 ( t ) Q B ( t ) = Γ B 1 λ B 1 Q Z B 1 ( t ) + Γ B 2 λ B 2 Q Z B 2 ( t ) μ B 1 Q B ( t )
By adopting the following initial conditions:
R 0 ( 0 ) = 1 Q Z B 1 ( 0 ) = Q Z B 2 ( 0 ) = Q B ( 0 ) = 0
and using mathematical transformations (including the Laplace transform), the sought-after probability of a trackside video monitoring system staying in a state of full fitness was calculated for the following input data:
  • Research duration—1 year (this time is given in hours [h]):
t = 8760 [ h ]
  • Intensities of transitions from a state of full fitness to a state of partial fitness I λZB1:
λ Z B 1 = 0.000001
  • Intensity of transitions from a state of full fitness to a state of partial fitness II λZB2:
λ Z B 2 = 0.0000001
  • Intensity of transitions from a state of partial fitness I to a state of unfitness λB1:
λ B 1 = 0.0000001
  • Intensity of transitions from a state of partial fitness II to a state of unfitness λN2:
λ B 2 = 0.000001
  • Intensity of transitions from a state of partial fitness I to a state of full fitness II µB0:
μ B 0 = 0.00000001
  • Intensity of transitions from a state of unfitness to a state of full fitness µB1:
μ B 1 = 0.01
  • Intensity of transitions from a state of partial fitness I to a state of full fitness µPZ1:
μ P Z 1 = 0.1
  • Intensity of transitions from a state of partial fitness II to a state of full fitness µPZ2:
μ P Z 2 = 0.2
  • Radiated interference impact coefficients:
Γ Z B 1 = Γ Z B 2 = Γ B 1 = Γ B 2 = 0.5
As a result of the adopted input data, using the system of Equations (1), we get:
R 0 * ( s ) = 1.080004 10 14 s + 10 14 μ P Z 1 + 8 10 12 μ P Z 2 + 2 10 22 s 2 μ P Z 1 + + 2 10 22 s 2 μ P Z 2 + 2.000108 10 20 s 2 + 2 10 22 s 3 + + 2.0001 10 20 s μ P Z 1 + 2.000008 10 20 s μ P Z 2 + + 2 10 20 μ P Z 1 μ P Z 2 + 2 10 22 s μ P Z 1 μ P Z 2 + 4 10 6 5.340022 10 7 s 2 10 6 μ P Z 2 + 2.00011 10 20 s 2 μ P Z 1 + + 2.000108 10 20 s 2 μ P Z 2 + 2 10 22 s 3 μ P Z 1 + 2 10 22 s 3 μ P Z 2 + + 2.1800634 10 14 s 2 + 2.000218 10 20 s 3 + 2 10 22 s 4 + + 1.100005 10 14 s μ P Z 1 + 1.080003 10 14 s μ P Z 2 + 2 10 20 s μ P Z 1 μ P Z 2 + + 2 10 22 s 2 μ P Z 1 μ P Z 2 1
Ultimately, we get the relationship:
R 0 ( t ) = 4.09351637 10 11 e 0.01 t + 2.50000904 10 7 e 0.20000055 t + + 0.00000499 e 0.10000053 t + 0.99999474 e 9.99994349 10 14 t
and the final result:
R 0 = 0.99999475
The impact of EMI on VMS depends on applied solutions (structural, organizational) aimed at minimizing the effect EMI has on the system’s operation. The graph presented in the article, which depicts the impact of emitting radiated interference generated by a rail traction unit on a trackside visual monitoring system and the obtained mathematical relationships, enables a numerical assessment of the applied solutions aimed at mitigating the impact of EMI on VMS. In practice, this allows for the rational selection of solutions that will be effective and economically justified [91,92].

5. Conclusions

The research conducted by the authors indicates the significance of the issue of assessing the impact of emitted radiated interference generated by a rail traction vehicle on the operational process of trackside video monitoring systems. Despite the application of numerous solutions (whether structural or organizational), permissible values specified in relevant standards are still exceeded. Such events may lead to incorrect functioning of the devices used within the rail transport process. Actual tests conducted on a test Track at the Railway Institute confirmed the occurrence of such situations. This is why the next stage of the authors’ research was to develop a graph illustrating the impact of emitted radiated interference generated by a rail traction vehicle on a trackside video monitoring system (taking into account the impact coefficients of radiated interference). The conducted mathematical calculations enabled obtaining a relationship to calculate the probability of trackside video monitoring systems remaining in a state of full fitness. A practical application of the obtained relationships allows determining the impact of applied solutions reducing the impact of interference radiated by a rail traction vehicle on the operational process of trackside video monitoring systems. In practice, this enables the rational selection of solutions that are efficient and economically viable in terms of deployment at the same time.
Further research by the authors will be aimed at conducting successive measurements at the test track at the Railway Institute, using a different rolling stock type. The second direction of the authors’ research targets developing structural solutions to improving the resistance of trackside video monitoring systems to radiated interference.

Author Contributions

Conceptualization, J.P., A.R., and M.S; methodology, A.R., J.P., and P.W.; validation, J.P., A.R., and K.B.; formal analysis, J.P., A.R., T.K., and M.S; investigation, J.P., T.K., A.R., and P.W.; resources, J.P., and A.R.; data curation, A.R., J.P., P.W., and K.B.; writing—original draft preparation, J.P., A.R., and P.W.; writing—review and editing, J.P., A.R., K.B., P.W., T.K., and M.S.; visualization, J.P., and A.R.; supervision, J.P., and A.R.; project administration, J.P., and A.R. All authors have read and agreed to the published version of the manuscript.

Funding

This work was co-financed by the Military University of Technology under research project UGB 737. This paper was co-financed by a research grant from the Warsaw University of Technology supporting scientific activity in the discipline of civil engineering and transport.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

List of Important Abbreviations and Symbols.
No.Full Name for AbbreviationAbbr.
1Alarm Receiving CentreARC
2Electronic Security SystemsESS
3European Train Control SystemETCS
4Global System for Mobile CommunicationsGSM
5GSM for RailwaysGSM-R
6State Critical InfrastructureSCI
7Intensities of damageλ
8Intensities of repairsµ
9Railway Institute Test Track Operation CentreOETD
10State Fire ServicePSP
11State of Partial FitnessSZB
12State of Full FitnessSPZ
13State of UnfitnessSB
14Video Monitoring SystemVMS
15Fire Alarm SystemFAS

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