Logging for Telematic Systems Protokollierung Für Telematiksysteme Journalisation Pour Systèmes Télématiques

Total Page:16

File Type:pdf, Size:1020Kb

Logging for Telematic Systems Protokollierung Für Telematiksysteme Journalisation Pour Systèmes Télématiques (19) TZZ Z¥_T (11) EP 2 680 534 B1 (12) EUROPEAN PATENT SPECIFICATION (45) Date of publication and mention (51) Int Cl.: of the grant of the patent: H04L 29/08 (2006.01) G07C 5/00 (2006.01) 27.12.2017 Bulletin 2017/52 G07C 5/08 (2006.01) (21) Application number: 12004834.3 (22) Date of filing: 28.06.2012 (54) LOGGING FOR TELEMATIC SYSTEMS PROTOKOLLIERUNG FÜR TELEMATIKSYSTEME JOURNALISATION POUR SYSTÈMES TÉLÉMATIQUES (84) Designated Contracting States: • Detlef Borchers: "Mit WLAN im Verbund auf der AL AT BE BG CH CY CZ DE DK EE ES FI FR GB Autobahn",heise online, 7 May 2010 (2010-05-07), GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO XP55041617, Retrieved from the Internet: PL PT RO RS SE SI SK SM TR URL:http://www.heise.de/newsticker/meldung /Mit-WLAN-im-Verbund-auf-der-Autobahn-9954 (43) Date of publication of application: 43.html?view=print [retrieved on 2012-10-19] 01.01.2014 Bulletin 2014/01 • John Quinn: "setting up syslog for distributed application logging", , 9 July 2007 (2007-07-09), (73) Proprietor: Harman Becker Automotive Systems XP55041628, New York, USA Retrieved from the GmbH Internet: 76307 Karlsbad (DE) URL:http://www.johnandcailin.com/blog/john /setting-syslog-distributed-application-lo gging (72) Inventors: [retrieved on 2012-10-19] • Guenkova-Luy, Teodora • "Syslog", Wikipedia, 5 May 2012 (2012-05-05), 89081 Ulm-Grimmelfingen (DE) XP55041614, San Francisco, CA, USA Retrieved • Goeckelmann, Ralph from the Internet: 89160 Dornstadt (DE) URL:http://en.wikipedia.org/w/index.php?ti • Clauss, Martin tle=Syslog&oldid=490814502 [retrieved on 88444 Ummendorf (DE) 2012-10-19] • Klimke, Andreas • JUNGHOON LEE ET AL: "A Telematics Service 89081 Ulm-Söflingen (DE) System Based on the Linux Cluster", 27 May 2007 •Abt,Oliver (2007-05-27), COMPUTATIONAL SCIENCE Â 89134 Blaustein (DE) ICCS 2007; [LECTURE NOTES IN COMPUTER • Seibold, Felix SCIENCE;;LNCS], SPRINGER BERLIN 89081 Ulm-Jungingen (DE) HEIDELBERG, BERLIN, HEIDELBERG, PAGE(S) 660 - 667, XP019094555, ISBN: 978-3-540-72589-3 (74) Representative: Grünecker Patent- und * Section 1 Section 3 * * figure 1 * Rechtsanwälte • GERHARDS ADISCON GMBH R: "The Syslog PartG mbB Protocol; rfc5424.txt", THE SYSLOG Leopoldstraße 4 PROTOCOL; RFC5424.TXT, INTERNET 80802 München (DE) ENGINEERING TASK FORCE, IETF; STANDARD, INTERNET SOCIETY (ISOC) 4, RUE DES (56) References cited: FALAISES CH- 1205 GENEVA, SWITZERLAND, 1 US-A1- 2009 150 023 US-A1- 2012 053 778 March 2009 (2009-03-01), XP015065515, [retrieved on 2009-03-10] Note: Within nine months of the publication of the mention of the grant of the European patent in the European Patent Bulletin, any person may give notice to the European Patent Office of opposition to that patent, in accordance with the Implementing Regulations. Notice of opposition shall not be deemed to have been filed until the opposition fee has been paid. (Art. 99(1) European Patent Convention). EP 2 680 534 B1 Printed by Jouve, 75001 PARIS (FR) (Cont. next page) EP 2 680 534 B1 • EDWARD CHUAH ET AL: "Diagnosing the root-causes of failures from cluster log files", HIGH PERFORMANCE COMPUTING (HIPC), 2010 INTERNATIONAL CONFERENCE ON, IEEE, 19 December 2010 (2010-12-19), pages 1-10, XP031914499, DOI: 10.1109/HIPC.2010.5713159 ISBN: 978-1-4244-8518-5 2 EP 2 680 534 B1 Description Field of Invention 5 [0001] The present invention relates to a method and an apparatus for logging and diagnostics for telematic systems combining features from real-time tracing methodology with persistent error storage and diagnosis, wherein the system being logged and analyzed may be composed of an arbitrary number of sub-components that exhibit significant inter- dependency. 10 Background of the Invention [0002] Since its introduction in 1978 by Simon Nora and Alain Minc, telematics, i.e., the integration of telecommuni- cations and informatics, has become very popular, especially in the context of automotive telematics, i.e., for application in vehicles. Typical applications of automotive telematic systems include automotive navigation systems using Global 15 Positioning System technology, emergency warning systems for vehicles, both in vehicle-to-vehicle and in vehicle-to- infrastructure settings, emergency calling systems in the case of accident or break-down of the vehicle, integrated hands- free cell phones, wireless safety communications, automatic driving assistance systems, mobile data, radio, and tele- vision, and vehicle tracking, e.g., as part of fleet management systems, but are not limited to these. Telematic systems may comprise electronic, electromechanical, and electromagnetic devices. Intelligent vehicle technologies are utilized 20 for safety and commercial communications between vehicles or between a vehicle and an external sensor or an external server. [0003] One of the latest additions to the world of automotive telematics is the provision of on-board logging and on- board diagnostics systems for vehicles interacting with telematic components of the vehicle. Current vehicle systems employ an ’on-board diagnostics system’ in order to detect problems with components of the vehicle early on. The 25 detected problems are reported to the driver. In addition, they are generally recorded for later analysis by a specialist using diagnostic trouble codes (DTCs). This typically allows the service provider to more rapidly identify the cause of a problem once a vehicle has been returned for inspection. Typically, a scan tool is used to read the diagnostics information memory. To this end, the scan tool is generally physically connected to the on-board diagnostics system. [0004] Tracking of a system state of a complex product, like an automotive telematic system, combined with the ability 30 of detecting problematic behavior as early on as possible is key in preventing serious vehicle accidents as well as ensuring a (near) problem-free product life cycle. Particularly, malfunctions of safety relevant telematics components, as for instance for the automatic dispatching of an emergency call in the case of an accident or break-down of the vehicle or for the exchange of information concerning hazardous road conditions between vehicles and/or back-end servers, need to be detected as early as possible or ideally be anticipated by constant monitoring of the involved telematics 35 components and/or (software) application components. With increasing complexity of nowadays telematics systems and ongoing integration of electronic components, logging, diagnosing, and correction of malfunctions of the involved (software) application components have gained relative importance compared to hardware diagnostics alone, which so far were at the heart of on-board diagnostics standardization efforts in the automotive industry. [0005] System processes and activities are usually carried out by or in interaction with (software) application compo- 40 nents in the automotive environment and are typically composed of a large number of sub-tasks executed by sub- components that interact with each other. In many cases, the combined behavior of the sub-systems must be taken into account in order to correctly identify the root cause of an error in the case of a malfunction of a system. Furthermore, processes often exhibit volatile behavior in case of errors, i.e., system problems may recover by themselves due to a change of the external conditions. Specific examples for such systems are the online and connectivity systems which 45 may fail under conditions of no network coverage but recover as soon as network coverage is reached. [0006] An automated diagnostics tool needs to be able to take these characteristics into account in order to avoid inconclusive results. In a volatile system, it is desirable to not only extract the relevant errors that have occurred, but also, to provide information on the overall system reliability and performance (for instance, the number of successfully completed use cases vs. failed ones). Since many errors in complex systems involving application components and 50 telematic components are not safety relevant and may additionally be volatile, it is desirable to decouple servicing of the telematic system from the standard vehicle inspection cycle. Particularly, a servicing of the telematic system driven by demand, ideally prior to customer complaints, is in the interest of both customers and service providers. [0007] Further, the increasing complexity and interconnectivity of telematic systems in current vehicles lead to an ever larger quantity of possible errors, root causes, and error messages, thus rapidly exceeding the capabilities of on-board 55 diagnostics systems and trained diagnosticians, who, in many cases, have to diagnose occurred problems ’by hand’ by running diagnostics tests as part of a vehicle service. Standardized error codes or diagnostic trouble codes can help but often hamper technological progress in a highly competitive environment. Considering the rather long product life cycle of vehicles, as opposed for instance to smart phones, and the limited capabilities for system upgrades of deployed 3 EP 2 680 534 B1 telematic systems, a genuinely extensible logging and diagnostics system as opposed to current, more rigid solutions is also desirable. Document US 2009/150023 A1 (GRAU THOMAS P [US] ET AL) (2009-06-11) discloses a method and a system for providing vehicle data to a third party, e.g. car dealerships, repair shops, governmental agencies (e.g. for certification), call centers etc., using recipient group-specific reports. Vehicle data are collected
Recommended publications
  • Socio-Economic Benefits of Cellular V2x
    FINAL REPORT FOR 5GAA SOCIO-ECONOMIC BENEFITS OF CELLULAR V2X Tom Rebbeck, Janette Stewart, Hugues-Antoine Lacour and Andrew Killeen of Analysys Mason, and David McClure and Alain Dunoyer of SBD Automotive Ref: 2011027-492 DECEMBER 2017 analysysmason.com Socio-economic benefits of cellular V2X Contents 1 Executive summary 1 1.1 Background and context 1 1.2 Qualitative benefits of C-V2X, and of 5G 2 1.3 Quantitative benefits 4 1.4 Conclusions and recommendations 5 2 Introduction 8 2.2 Background and context for the study 9 2.3 Scope of study and approach 13 2.4 Structure of this report 14 3 Market developments relating to connected and automated driving 15 3.1 Overview of C-ITS 15 3.2 C-ITS technologies, and policy developments 20 3.3 Mobile network evolution to 5G 24 3.4 Implementing Release 14 C-V2X 26 4 Overview of C-V2X 28 4.1 Technology development and use cases 28 4.2 Roadmap towards PC5 commercialisation 31 4.3 Expected evolution of C-V2X penetration 34 5 Quantifying the benefits of C-V2X for connected and automated vehicles 36 5.1 Modelling assumptions and scenarios 36 5.2 Summary of results 52 5.3 Employment impact 62 6 Conclusions and recommendations 64 6.1 Conclusions 64 6.2 Recommendations 65 Annex A Abbreviations and terms used in this report Annex B Modelling approach and supplementary results Annex C Summary of primary research for this study Ref: 2011027-492 . Socio-economic benefits of cellular V2X Copyright © 2017. Analysys Mason Limited has produced the information contained herein for the 5GAA.
    [Show full text]
  • Engine Control Module: a Review
    International Journal for Research in Engineering Application & Management (IJREAM) ISSN : 2454-9150 Vol-05, Issue-04, July 2019 Engine Control Module: A Review 1Surabhi Ghatole, 2Harshali Zodpe 1M.Tech student, 2Professor, Maharashtra Institute of Technology – World Peace University, Pune, India, [email protected], [email protected] Abstract: The automotive sector is constantly and rapidly upgrading and deploying advanced features into contemporary vehicles. To integrate these advanced features, numerous electronic systems are needed. Several control modules are used for enabling these systems to act jointly. Engine Control Module is a crucial part of vehicle’s Engine Management System (EMS). Expanding interest for progressively controlled security features, traveler comfort, and operational ease in vehicles requires an exhaustive utilization of electronic control units (ECU). The Engine Control Module (ECM) provides the brains for the engine of the vehicle. It controls the fuel mixture; timing and emissions control system and variety of other systems and sensors. This paper presents a review on ECU, different types of control units in vehicle, automotive communication protocols and working of an ECU. Keywords — Engine Control Unit, firmware, sensor, Printed Circuit Board, Controller Area Network, Electronic Engine Management System (EEMS) I. INTRODUCTION analysis that has been done in the control unit. Depending on type of engine, it controls start timing, infusion timing Modern day vehicles are not just a blend of engine, body, and amount, throttle position and camshaft alteration. If chassis and wheels. They are furnished with numerous there is an occurrence of any deviation from ordinary sensors and electronic gadgets to help drivers. By 2020 it is activity, they are stored in the fault memory for future estimated that about 35 percent of complete cost for checks.
    [Show full text]
  • Security Threats and Countermeasures for Connected Vehicles
    DEGREE PROJECT IN TECHNOLOGY, SECOND CYCLE, 30 CREDITS STOCKHOLM, SWEDEN 2019 Security Threats and Countermeasures for Connected Vehicles Xuwei Gong <[email protected]> KTH ROYAL INSTITUTE OF TECHNOLOGY ELECTRICAL ENGINEERING AND COMPUTER SCIENCE Abstract With the rapid development of connected vehicles, automotive security has become one of the most important topics. To study how to protect the security of vehicle communication, we analyze potential threats for connected vehicles and discuss countermeasures to mitigate these threats. In this thesis, we examine 25 services that connected vehicles can provide. Entities, connections, and message flows in these services are investigated and synthesized into a vehicle network structure. The 25 services are divided into six use cases including: infotainment service, remote monitoring, device control, Vehicle-to- everything (V2X), diagnostics service, and in-vehicle Intrusion Detection System (IDS). We establish communication models for these use cases and analyze the potential threats based on Confidentiality, Integrity and Availability (CIA) criteria. We discuss possible countermeasures that can mitigate these threats based on existing network security techniques. Each alternative countermeasure’s advantages and limitations are presented. To filter possible attacks, we investigate and design firewalls in four components of a vehicle: Dedicated Short-Range Communications (DSRC) module, gateway, Telematic Control Unit (TCU), and Human-Machine Interface (HMI). We also simulate a firewall for an HMI application by building a communication model in Python. Keywords Connected vehicle; Use case; Threat analysis; Countermeasures i Abstract Med den snabba utvecklingen av anslutna fordon har bilsäkerhet blivit ett av de viktigaste ämnena. För att studera hur man skyddar säkerheten för fordonskommunikation analyserar vi potentiella hot mot anslutna fordon och diskuterar motåtgärder för att mildra dessa hot.
    [Show full text]
  • Type Approved Equipment March 2021.Xlsx
    UPDATED LIST OF TYPE APPROVED EQUIPMENT (02 JUNE 2021) S MAKE MODEL EQUIPMENT TYPE 1 24GHZ SLR SENSOR MASR-007387 BLUETOOTH TELEMATICS DEVICE 224ONLINE SMS 5000ix (S0819041G) 24ONLINE SERVER 3 24ONLINE SMS 5000ix (S0819041E) 24ONLINE SERVER 4ABC (Xisheng) Electronics STB-1682 Digital Terrestrial Decoder 5 Access/One Network MWS100-EU Wireless Access Point(802.11 a/g) 6 ACE WB/IDO-43 TRANSCEIVER 7Acer N17Q2 Computer 8Acer Aspire 3 (N20C5) Computer 9ACTIA IME WUBR-508N USB Module (802.11abgn) 10Actia TGW3 Telematic Gateway 11ACTIA TGW 2.1 4G Telematics Gateway Unit 12Adaptrum ACRS2.0 TV Band Fixed Device 13 ADVA FSP 150CC ETHERNET SWITCH 14Advantech FWA-AAL1010VC Network Services Gateway 15AEK HR 100 Handheld code Reader 16 AEL 2230 Professional land mobile transceiver 17AEL 3030 SSB Transceiver 18 AEL 140KH TRANSCEIVER 19AEL 3030HF SSB Transceiver 20 AEL LMR8 Lens Mount 21 AEL MR16 TRANSCEIVER 22AEL 3030HF SSB Transceiver 23 AEV BLU 500 FM BROADCASTING TRANSMITTER 24AEV AEV SIRIO 500T Synthesized Terrestrial Link Transmitter 25 AFRICAN BANKING CORPORATION VEGA 200 G VOIP GATEWAY 26 AG AG BOOST Mobile Phone 27 AG AG Chrome Go Tab 7.0 Mobile Phone 28 AG AG Chrome Selfie Mobile Phone 29AG AG Chrome SWIFT Mobile Phone 30AG AG Chrome Ultra Mobile Phone 31 AG AG Everlast Mobile Pohone 32 AG AG GHOST Mobile Phone 33 AG AG GO-TAB ACCESS Mobile Phone 34 AG AG KEEPA Mobile Phone 35 AG AG NEON Mobile Phone 36 AG AG RAZOR Mobile Phone 37 AG AG Whuts String Mobile Phone 38AG AG Zenith Mobile Phone 39 AG AG ZOOM Mobile Phone 40AG BOOST 2 Mobile Phone 41 AG FLAIR Mobile Phone 42 AG Go Tab Access 2 Tablet 43 AG JIVE Mobile Phone 44 AG PUNCH Mobile Phone 45AG ZOOM Mobile Phone 46AI AEODYNE Drone 47 AIR4G-W24 MacroMAXe 2510H Ext.
    [Show full text]
  • Understanding Connected Car Testing Contents Amendments to the Physical Layer
    Understanding Connected Car Testing Contents Amendments to the Physical Layer ............................................................................................ 64 Amendments to the MAC Layer ................................................................................................ 66 Executive summary ................................................................................................................................................... 4 Testing 802.11p with Spectrum Analyzer and Signal Generator ............................. 66 Introduction ..................................................................................................................................................................... 4 Testing 802.11p with Conformance Tester and Production Tester ........................ 68 Wireless Connectivity ................................................................................................................................................... 6 Testing the Japanese DSRC standard ARIB STD T75 ............................................ 69 Cellular Technologies (3GPP - LTE/2G/3G) .................................................................................... 6 EMC/EMI Testing ....................................................................................................................................................... 71 Testing Cellular Communication .................................................................................................... 10 Interference Hunting .........................................................................................................................................
    [Show full text]