Comparison of uncertainty multilevel models to ensure ITS Services

Stawowy, Marek; Perlicki, Krzysztof; Sumiła, M

doi:10.1201/9781315210469-336

Cited by 8 publications

(7 citation statements)

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“…Table 2 contains observation coefficients. These parameters were estimated for the real measuring station shown in Figure 11 (observations e1a, e1b, and e2) and based on the authors' earlier publications [40,46]. The meteorological station is located in Poland in the northwest part of Warsaw on the premises of the Military University of Technology (geographical coordinates: 52°15′10.6"N and 20°53′58.9"E).…”

Section: Methods Verification and Its Computer Exemplificationmentioning

confidence: 99%

The Analysis and Modelling of the Quality of Information Acquired from Weather Station Sensors

et al. 2021

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This article explores the quality of information acquired from weather station sensors. A review of literature in this field concludes that most publications concern the analysis of data acquired from weather station sensors and their characteristic properties, estimating the missing values from the data, and assessing the quality of weather information. Despite the large collection of studies devoted to these issues, there is no comprehensive approach that would consider the modelling of information uncertainty. Therefore, the article presents a proprietary method of analysing and modelling the uncertainty of the weather station sensors’ information quality. For this purpose, the structure of a real meteorological station and the measurement data obtained from it were analysed. Next, an information quality model was developed using the certainty factor (CF) of hypothesis calculation. The developed method was verified on an exemplary real meteorological station. It was found that this method enables the improvement of the quality of information obtained and processed in a multi-sensor system. This becomes practical when the influence of individual measurement system elements on the information quality reaching the recipient is determined. An example is furnished by a demonstration of the usage of two sensors to improve the information quality.

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Section: Methods Verification and Its Computer Exemplificationmentioning

confidence: 99%

The Analysis and Modelling of the Quality of Information Acquired from Weather Station Sensors

et al. 2021

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“…To development of the abovementioned activities, which are necessary for the proper functioning of the FAS, dedicated computer applications are used [1,2]. FAC can be connected in a single loop, star or bus with a double transmission line (optical fiber) due to the satisfaction of certain reliability requirements for the transmission of primary information [13][14][15]. A dispersed system always has a master FAC and others of the slave type.…”

Section: Fire Alarm System Used In Facilities and Extensive Transport...mentioning

confidence: 99%

“…allow precise localization of the location of an alarm in the system [1,19,20], -trigger an alarm when the parameters of the supervisory line are deviated within the limits of  30%, -self-monitor the guard lines for both current interruptions, short circuits and changes in the parameters of the guard line in the t  1 s., -signal the detected damage in a time not exceeding 20 s., -enable performance monitoring of CP, FAC, power supplies, batteries, detectors and monitoring lines and optical-acoustic sirens (all monitoring lines should be tested separately) [1,21], -have CP, FAC recording all events (ability to archive them) [22,23], -have CP that will allow the system operator to receive current information about the activation/deactivation of individual zones by users, the technical status of the equipment Figure 4 [1,24,25]. From above, the standard on the ESS operation process cited the most important issues in system supervision and the functions performed by the CP.…”

Section: Supervision Process Of Fire Alarm Systemmentioning

confidence: 99%

Problems of diagnosing fire alarm systems in transport facilities

Tatko

Hładun²,

Paś

2022

jaeee

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The publication presents problems concerning to the implementation of the diagnosis process in the FAS with different functional structures supervising fire safety in transport facilities. The implementation of this process and the test results should be visualized at the FAC installation site (LCD panel) and sent via two independent ICT channels to the ARC. The results of diagnostic tests will enable immediate renewal of the system, and the remote service located in ARC has the ability to identify the type of inoperability and start repair using spare parts from a handy warehouse. This approach makes it possible to rationalize the value of the FAS readiness indicator in transport facilities.

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“…Transport telematics systems and electronic security systems (ESS) located in a metal container on a railway route are considered to be the "State's critical infrastructure items" [1][2][3]. Their most important task is to ensure the security of vehicle movement on railway routes [4,5].…”

Section: Introductionmentioning

confidence: 99%

The Issue of Operating Security Systems in Terms of the Impact of Electromagnetic Interference Generated Unintentionally

Jakubowski¹,

Paś

Rosiński

2021

Energies

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This article discusses issues regarding electromagnetic interference generated unintentionally by transport telematics systems and electronic security systems (ESS) located within a railway area. These systems should operate correctly, since they ensure the safety of both vehicles and passengers. The electronic devices they use are exposed to electromagnetic interference that may lead to incorrect ESS functioning. In order to determine the impact of electromagnetic interference on ESS, the authors measured unintentional low-frequency electromagnetic field generated by MV—15 and 30 kV—power lines. This enabled determining the areas with maximum values of electromagnetic interference. The next stage of the research was to develop an ESS operating process model that takes into account the impact of unintentionally generated electromagnetic interference on the operating process. Introducing the electromagnetic interference impact coefficient enables a rational selection of solutions aimed at protecting against electromagnetic interference through the application of technical and organizational measures.

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Comparison of uncertainty multilevel models to ensure ITS Services

Cited by 8 publications

References 0 publications

The Analysis and Modelling of the Quality of Information Acquired from Weather Station Sensors

The Analysis and Modelling of the Quality of Information Acquired from Weather Station Sensors

Problems of diagnosing fire alarm systems in transport facilities

The Issue of Operating Security Systems in Terms of the Impact of Electromagnetic Interference Generated Unintentionally

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