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Steps to build the RAN-Sim Controller setup: 

  1. Clone and Checkout Ran-Sim

    Controller        

    Controller 

    git clone "https://gerrit.onap.org/r/integration/simulators/ran-simulator"


  2. Copy ‘settings.xml’ from ‘<YOURFOLDER>/ran-simulator/ransim/ransimctrlr/packages/base/src/files/m2/settings.xml’ to <HOME>/.m2/ folder as settings.xml file after updating environment specific configurations. 

             If the file already exists in <HOME>/.m2/ folder, then merge this file content into the existing file appropriately. 

             Note: settings.xml entries are mandatory to include dependencies.

      3. Open the terminal and navigate to the '<YOURFOLDER>/ran-simulator/ransim'

      4. Run the following command in the terminal

Code Block
languagepy
themeEmacs
mvn clean install -P docker


      5. After successful build navigate to '<YOURFOLDER>/ran-simulator/ransim/docker' directory

      6. The SDNR details can be updated in the file '<YOURFOLDER>/ran-simulator/ransim/docker/docker-compose.yml'.

                    environment: 

                           - SDNR_IP={SDNR IP address} 

                          - SDNR_PORT={SDNR port number} 

                           - SDNR_USER={SDNR user ID} 

                           - SDNR_PASSWORD={SDNR user password} 

      7. Run the 'docker-compose up -d' command in the terminal( Note: Use docker compose version 1.6.0 or above)

      8. Once the ransim and mariadb containers are started, you can see logs in the ransim container under the folder /opt/app/policy/servers/ransim/logs

 

Steps to check the RAN-Sim Controller logs 

  1. Open the console and enter the following command:

                   'docker ps' 

       2. Once the container details is displayed enter the following command:

                   'docker exec -it ransim bash'

       3. Navigate to '/opt/app/policy/servers/ransim/logs' using the cd command.

       4. Execute the following command to check the logs:

                   'tail -f ransim-rest.log' 

 

Steps to access the tables in mysql and check table contents 

  1. Enter the following commands in console to accessmysql:

                  'mysql -uroot -psecret' 

             'use ransim_db' 

      2. Type 'show tables;' to check the and access the tables.

 

Steps to start/stop RAN network slice simulation 

  1. Open the console and enter the following command:

                   'docker ps' 

       2. Once the container details is displayed enter the following command:

                   'docker exec -it ransim bash'

       3. Run the following command tostart the RAN network slice simulation: 

Code Block
languagepy
themeEmacs
curl -k -X POST --header 'Content-Type: application/json' --header 'Accept: */*' 'http://localhost:8081/ransim/api/StartRanSliceSimulation' 


       4. Run the following command tostop the RAN network slice simulation: 

Code Block
languagepy
themeEmacs
curl -k -X DELETE --header 'Content-Type: application/json' --header 'Accept: */*' 'http://localhost:8081/ransim/api/StopRanSliceSimulation'

 

Steps to start/stop generating Intelligent slicing PM data 

  1. Open the console and enter the following command:

                  'docker ps' 

       2. Once the container details is displayed enter the following command:

                  'docker exec -it ransim bash'

       3. Run the following command to start generate Intelligent slicing PM data: 

Code Block
languagepy
themeEmacs
curl -X POST -H "Content-Type:  text/plain" http://localhost:8081/ransim/api/GenerateIntelligentSlicingPmData -i  

       4. Run the following commandto Start generate Intelligent slicing PM data: 

Code Block
languagepy
themeEmacs
curl -X POST -H "Content-Type:  text/plain" http://localhost:8081/ransim/api/stopIntelligentSlicingPmData -i 

       5. You can see the generated slicing pm data files in the ransim container under the folder /tmp/ransim-install.


Expand
titleSample Slicing PM Data

<?xml version="1.0" encoding="UTF-8"?> 

<measCollecFile xmlns="http://www.3gpp.org/ftp/specs/archive/32_series/32.435#measCollec"> 

    <fileHeader dnPrefix="Prefix" fileFormatVersion="32.435 V10.0" vendorName="Acme Ltd"> 

        <fileSender localDn="cucpserver1"/> 

        <measCollec beginTime="2020-12-02T05:01:37.863"/> 

    </fileHeader> 

    <measData> 

        <managedElement localDn="cucpserver1" swVersion="r0.1"/> 

        <measInfo measInfoId="measInfoIsVal"> 

            <job jobId="9327"/> 

            <granPeriod duration="PT900S" endTime="2020-12-02T05:01:37.863"/> 

            <repPeriod duration="PT900S"/> 

            <measType p="1">SM.PDUSessionSetupReq.0011-0010</measType> 

            <measType p="2">SM.PDUSessionSetupSucc.0011-0010</measType> 

            <measType p="3">SM.PDUSessionSetupFail.0</measType> 

            <measType p="4">SM.PDUSessionSetupReq.0010-1110</measType> 

            <measType p="5">SM.PDUSessionSetupSucc.0010-1110</measType> 

            <measValue measObjLdn="13999"> 

                <r p="1">2676.0</r> 

                <r p="2">1749.0</r> 

                <r p="4">3158.0</r> 

                <r p="5">1921.0</r> 

                <r p="3">1958.0</r> 

                <suspect>false</suspect> 

            </measValue> 

            <measValue measObjLdn="14000"> 

                <r p="1">2392.0</r> 

                <r p="2">1522.0</r> 

                <r p="4">3571.0</r> 

                <r p="5">2575.0</r> 

                <r p="3">1696.0</r> 

                <suspect>false</suspect> 

            </measValue> 

            <measValue measObjLdn="15155"> 

                <r p="1">5279.0</r> 

                <r p="2">3300.0</r> 

                <r p="4">7237.0</r> 

                <r p="5">5187.0</r> 

                <r p="3">3655.0</r> 

                <suspect>false</suspect> 

            </measValue> 

            <measValue measObjLdn="15174"> 

                <r p="1">5545.0</r> 

                <r p="2">3397.0</r> 

                <r p="4">7649.0</r> 

                <r p="5">5493.0</r> 

                <r p="3">3994.0</r> 

                <suspect>false</suspect> 

            </measValue> 

            <measValue measObjLdn="15175"> 

                <r p="1">5229.0</r> 

                <r p="2">3349.0</r> 

                <r p="4">8120.0</r> 

                <r p="5">5590.0</r> 

                <r p="3">4016.0</r> 

                <suspect>false</suspect> 

            </measValue> 

        </measInfo> 


    </measData> 

    <fileFooter> 

        <measCollec endTime="2020-12-02T05:01:37.863"/> 

    </fileFooter> 

</measCollecFile> 


 







Steps to build the RAN-Sim Controller setup: 

  1. Clone and Checkout Ran-Sim Controller 

    git clone "https://gerrit.onap.org/r/integration/simulators/ran-simulator"

    You can download below patchset for refactored and enhanced RAN-simulator code for setup, the code is in review stage will be merged soon.


  2. Copy ‘settings.xml’ from ‘<YOURFOLDER>/ran-simulator/ransim/ransimctrlr/packages/base/src/files/m2/settings.xml’ to <HOME>/.m2/ folder as settings.xml file after updating environment specific configurations. 

             If the file already exists in <HOME>/.m2/ folder, then merge this file content into the existing file appropriately. 

             Note: settings.xml entries are mandatory to include dependencies.

      3. Open the terminal and navigate to the '<YOURFOLDER>/ran-simulator/ransim'

      4. Run the following command in the terminal

Code Block
languagepy
themeEmacs
mvn clean install -P docker


      5. After successful build navigate to '<YOURFOLDER>/ran-simulator/ransim/docker' directory

      6. The SDNR details can be updated in the file '<YOURFOLDER>/ran-simulator/ransim/docker/docker-compose.yml'.

                    environment: 

                           - SDNR_IP={SDNR IP address} 

                          - SDNR_PORT={SDNR port number} 

                           - SDNR_USER={SDNR user ID} 

                           - SDNR_PASSWORD={SDNR user password} 

      7. Run the 'docker-compose up -d' command in the terminal( Note: Use docker compose version 1.6.0 or above)

      8. Once the ransim and mariadb containers are started, you can see logs in the ransim container under the folder /opt/app/policy/servers/ransim/logs

 

Steps to check the RAN-Sim Controller logs 

  1. Open the console and enter the following command:

                   'docker ps' 

       2. Once the container details is displayed enter the following command:

                   'docker exec -it ransim bash'

       3. Navigate to '/opt/app/policy/servers/ransim/logs' using the cd command.

       4. Execute the following command to check the logs:

                   'tail -f ransim-rest.log' 

 

Steps to access the tables in mysql and check table contents 

  1. Enter the following commands in console to accessmysql:

                  'mysql -uroot -psecret' 

             'use ransim_db' 

      2. Type 'show tables;' to check the and access the tables.

 

Steps to start/stop RAN network slice simulation 

  1. Open the console and enter the following command:

                   'docker ps' 

       2. Once the container details is displayed enter the following command:

                   'docker exec -it ransim bash'

       3. Run the following command tostart the RAN network slice simulation: 

Code Block
languagepy
themeEmacs
curl -k -X POST --header 'Content-Type: application/json' --header 'Accept: */*' 'http://localhost:8081/ransim/api/StartRanSliceSimulation' 


       4. Run the following command tostop the RAN network slice simulation: 

Code Block
languagepy
themeEmacs
curl -k -X POST --header 'Content-Type: application/json' --header 'Accept: */*' 'http://localhost:8081/ransim/api/StopRanSliceSimulation' 

 

Steps to start/stop generating Intelligent slicing PM data 

  1. Open the console and enter the following command:

                  'docker ps' 

       2. Once the container details is displayed enter the following command:

                  'docker exec -it ransim bash'

       3. Run the following command to start generate Intelligent slicing PM data: 

Code Block
languagepy
themeEmacs
curl -X POST -H "Content-Type:  text/plain" http://localhost:8081/ransim/api/GenerateIntelligentSlicingPmData -i  

       4. Run the following commandto Start generate Intelligent slicing PM data: 

Code Block
languagepy
themeEmacs
curl -X POST -H "Content-Type:  text/plain" http://localhost:8081/ransim/api/stopIntelligentSlicingPmData -i 

       5. You can see the generated slicing pm data files in the ransim container under the folder /tmp/ransim-install.


Expand
titleSample Slicing PM Data

<?xml version="1.0" encoding="UTF-8"?> 

<measCollecFile xmlns="http://www.3gpp.org/ftp/specs/archive/32_series/32.435#measCollec"> 

    <fileHeader dnPrefix="Prefix" fileFormatVersion="32.435 V10.0" vendorName="Acme Ltd"> 

        <fileSender localDn="cucpserver1"/> 

        <measCollec beginTime="2020-12-02T05:01:37.863"/> 

    </fileHeader> 

    <measData> 

        <managedElement localDn="cucpserver1" swVersion="r0.1"/> 

        <measInfo measInfoId="measInfoIsVal"> 

            <job jobId="9327"/> 

            <granPeriod duration="PT900S" endTime="2020-12-02T05:01:37.863"/> 

            <repPeriod duration="PT900S"/> 

            <measType p="1">SM.PDUSessionSetupReq.0011-0010</measType> 

            <measType p="2">SM.PDUSessionSetupSucc.0011-0010</measType> 

            <measType p="3">SM.PDUSessionSetupFail.0</measType> 

            <measType p="4">SM.PDUSessionSetupReq.0010-1110</measType> 

            <measType p="5">SM.PDUSessionSetupSucc.0010-1110</measType> 

            <measValue measObjLdn="13999"> 

                <r p="1">2676.0</r> 

                <r p="2">1749.0</r> 

                <r p="4">3158.0</r> 

                <r p="5">1921.0</r> 

                <r p="3">1958.0</r> 

                <suspect>false</suspect> 

            </measValue> 

            <measValue measObjLdn="14000"> 

                <r p="1">2392.0</r> 

                <r p="2">1522.0</r> 

                <r p="4">3571.0</r> 

                <r p="5">2575.0</r> 

                <r p="3">1696.0</r> 

                <suspect>false</suspect> 

            </measValue> 

            <measValue measObjLdn="15155"> 

                <r p="1">5279.0</r> 

                <r p="2">3300.0</r> 

                <r p="4">7237.0</r> 

                <r p="5">5187.0</r> 

                <r p="3">3655.0</r> 

                <suspect>false</suspect> 

            </measValue> 

            <measValue measObjLdn="15174"> 

                <r p="1">5545.0</r> 

                <r p="2">3397.0</r> 

                <r p="4">7649.0</r> 

                <r p="5">5493.0</r> 

                <r p="3">3994.0</r> 

                <suspect>false</suspect> 

            </measValue> 

            <measValue measObjLdn="15175"> 

                <r p="1">5229.0</r> 

                <r p="2">3349.0</r> 

                <r p="4">8120.0</r> 

                <r p="5">5590.0</r> 

                <r p="3">4016.0</r> 

                <suspect>false</suspect> 

            </measValue> 

        </measInfo> 


    </measData> 

    <fileFooter> 

        <measCollec endTime="2020-12-02T05:01:37.863"/> 

    </fileFooter> 

</measCollecFile> 


 







Steps to build the RAN-Sim Controller setup: 

  1. Clone and Checkout Ran-Sim Controller 

    git clone "https://gerrit.onap.org/r/integration/simulators/ran-simulator"


  2. Copy ‘settings.xml’ from ‘<YOURFOLDER>/ran-simulator/ransim/ransimctrlr/packages/base/src/files/m2/settings.xml’ to <HOME>/.m2/ folder as settings.xml file after updating environment specific configurations. 

             If the file already exists in <HOME>/.m2/ folder, then merge this file content into the existing file appropriately. 

             Note: settings.xml entries are mandatory to include dependencies.

      3. Open the terminal and navigate to the '<YOURFOLDER>/ran-simulator/ransim'

      4. Run the following command in the terminal

Code Block
languagepy
themeEmacs
mvn clean install -P docker


      5. After successful build navigate to '<YOURFOLDER>/ran-simulator/ransim/docker' directory

      6. The SDNR details can be updated in the file '<YOURFOLDER>/ran-simulator/ransim/docker/docker-compose.yml'.

                    environment: 

                           - SDNR_IP={SDNR IP address} 

                          - SDNR_PORT={SDNR port number} 

                           - SDNR_USER={SDNR user ID} 

                           - SDNR_PASSWORD={SDNR user password} 

      7. Run the 'docker-compose up -d' command in the terminal( Note: Use docker compose version 1.6.0 or above)

      8. Once the ransim and mariadb containers are started, you can see logs in the ransim container under the folder /opt/app/policy/servers/ransim/logs

 

Steps to check the RAN-Sim Controller logs 

  1. Open the console and enter the following command:

                   'docker ps' 

       2. Once the container details is displayed enter the following command:

                   'docker exec -it ransim bash'

       3. Navigate to '/opt/app/policy/servers/ransim/logs' using the cd command.

       4. Execute the following command to check the logs:

                   'tail -f ransim-rest.log' 

 

Steps to access the tables in mysql and check table contents 

  1. Enter the following commands in console to accessmysql:

                  'mysql -uroot -psecret' 

             'use ransim_db' 

      2. Type 'show tables;' to check the and access the tables.

 

Steps to start/stop RAN network slice simulation 

  1. Open the console and enter the following command:

                   'docker ps' 

       2. Once the container details is displayed enter the following command:

                   'docker exec -it ransim bash'

       3. Run the following command tostart the RAN network slice simulation: 

Code Block
languagepy
themeEmacs
curl -k -X POST --header 'Content-Type: application/json' --header 'Accept: */*' 'http://localhost:8081/ransim/api/StartRanSliceSimulation' 


       4. Run the following command tostop the RAN network slice simulation: 

Code Block
languagepy
themeEmacs
curl -k -X POST --header 'Content-Type: application/json' --header 'Accept: */*' 'http://localhost:8081/ransim/api/StopRanSliceSimulation' 

 

Steps to start/stop generating Intelligent slicing PM data 

  1. Open the console and enter the following command:

                  'docker ps' 

       2. Once the container details is displayed enter the following command:

                  'docker exec -it ransim bash'

       3. Run the following command to start generate Intelligent slicing PM data: 

Code Block
languagepy
themeEmacs
curl -X POST -H "Content-Type:  text/plain" http://localhost:8081/ransim/api/GenerateIntelligentSlicingPmData -i  

       4. Run the following commandto Start generate Intelligent slicing PM data: 

Code Block
languagepy
themeEmacs
curl -X POST -H "Content-Type:  text/plain" http://localhost:8081/ransim/api/stopIntelligentSlicingPmData -i 

       5. You can see the generated slicing pm data files in the ransim container under the folder /tmp/ransim-install.


Expand
titleSample Slicing PM Data

<?xml version="1.0" encoding="UTF-8"?> 

<measCollecFile xmlns="http://www.3gpp.org/ftp/specs/archive/32_series/32.435#measCollec"> 

    <fileHeader dnPrefix="Prefix" fileFormatVersion="32.435 V10.0" vendorName="Acme Ltd"> 

        <fileSender localDn="cucpserver1"/> 

        <measCollec beginTime="2020-12-02T05:01:37.863"/> 

    </fileHeader> 

    <measData> 

        <managedElement localDn="cucpserver1" swVersion="r0.1"/> 

        <measInfo measInfoId="measInfoIsVal"> 

            <job jobId="9327"/> 

            <granPeriod duration="PT900S" endTime="2020-12-02T05:01:37.863"/> 

            <repPeriod duration="PT900S"/> 

            <measType p="1">SM.PDUSessionSetupReq.0011-0010</measType> 

            <measType p="2">SM.PDUSessionSetupSucc.0011-0010</measType> 

            <measType p="3">SM.PDUSessionSetupFail.0</measType> 

            <measType p="4">SM.PDUSessionSetupReq.0010-1110</measType> 

            <measType p="5">SM.PDUSessionSetupSucc.0010-1110</measType> 

            <measValue measObjLdn="13999"> 

                <r p="1">2676.0</r> 

                <r p="2">1749.0</r> 

                <r p="4">3158.0</r> 

                <r p="5">1921.0</r> 

                <r p="3">1958.0</r> 

                <suspect>false</suspect> 

            </measValue> 

            <measValue measObjLdn="14000"> 

                <r p="1">2392.0</r> 

                <r p="2">1522.0</r> 

                <r p="4">3571.0</r> 

                <r p="5">2575.0</r> 

                <r p="3">1696.0</r> 

                <suspect>false</suspect> 

            </measValue> 

            <measValue measObjLdn="15155"> 

                <r p="1">5279.0</r> 

                <r p="2">3300.0</r> 

                <r p="4">7237.0</r> 

                <r p="5">5187.0</r> 

                <r p="3">3655.0</r> 

                <suspect>false</suspect> 

            </measValue> 

            <measValue measObjLdn="15174"> 

                <r p="1">5545.0</r> 

                <r p="2">3397.0</r> 

                <r p="4">7649.0</r> 

                <r p="5">5493.0</r> 

                <r p="3">3994.0</r> 

                <suspect>false</suspect> 

            </measValue> 

            <measValue measObjLdn="15175"> 

                <r p="1">5229.0</r> 

                <r p="2">3349.0</r> 

                <r p="4">8120.0</r> 

                <r p="5">5590.0</r> 

                <r p="3">4016.0</r> 

                <suspect>false</suspect> 

            </measValue> 

        </measInfo> 


    </measData> 

    <fileFooter> 

        <measCollec endTime="2020-12-02T05:01:37.863"/> 

    </fileFooter> 

</measCollecFile> 


 







Steps to build the RAN-Sim Controller setup: 

  1. Clone and Checkout Ran-Sim Controller 

    git clone "https://gerrit.onap.org/r/integration/simulators/ran-simulator"

    You can download below patchset for refactored and enhanced RAN-simulator code for setup, the code is in review stage will be merged soon.


  2. Copy ‘settings.xml’ from ‘<YOURFOLDER>/ran-simulator/ransim/ransimctrlr/packages/base/src/files/m2/settings.xml’ Copy ‘m2_settings.xml’ from ‘<YOURFOLDER>/ransim/’ to <HOME>/.m2/ folder as settings.xml file after updating environment specific configurations. 

...

      3. Open the terminal and navigate to the '<YOURFOLDER>/ransim-revamped/ran-simulator/ransim'

      4. Run the following command in the terminal                    ‘mvn clean install -U -Dcheckstyle.skip=true -Dmaven.test.skip=true -P docker’

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mvn clean install -P docker


      5. After successful build navigate to '<YOURFOLDER>/ran-simulator/ransim/docker' directory

      6. The SDNR details can be updated in the file '<YOURFOLDER>/ransim-revamped/ran-simulator/ransim/docker/docker-compose.yml'. 

                    environment: 

...

                           - SDNR_PASSWORD={SDNR user password} 

      7. Run thethe 'docker-compose up -d' command in the terminal( Note: Use docker compose version 1.6.0 or above)

      8. Once the ransim and mariadb containers are started, you can see logs in the ransim container under the folder /opt/app/policy/servers/ransim/logs

...

       2. Once the container details is displayed enter the following command:

                   'docker exec -it it ransim bash '

       3. Navigate to '/opt/app/policy/servers/ransim/logs' using the cd command.

...

                   'docker exec -it it ransim bash'

       3. Run the following command tostart the RAN network slice simulation:              curl -k -X POST

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curl -k -X POST --header 'Content-Type: application/json' --header 'Accept: */*' 'http://localhost:8081/ransim/api/StartRanSliceSimulation' 


       4. Run the following command tostop the RAN network slice simulation:              curl -k -X POST

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curl -k -X POST --header 'Content-Type: application/json' --header 'Accept: */*' 'http://localhost:8081/ransim/api/

...

StopRanSliceSimulation' 

 

Steps to start/stop generating Intelligent slicing PM data 

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                  'docker exec -it it ransim bash'

       3. Run the following command toto start generate Intelligent slicing PM data:             curl -X POST -H

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curl -X POST -H "Content-Type:  text/plain" http://localhost:8081/ransim/api/GenerateIntelligentSlicingPmData -

...

i  

       4. Run the following commandto Start generate Intelligent slicing PM data:             curl -X POST -H

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curl -X POST -H "Content-Type:  text/plain" http://localhost:8081/ransim/api/stopIntelligentSlicingPmData -

...

i 

       5. You can see the generated slicing pm data files in theransimthe ransim container under the folder /tmp/ransim-install .


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titleSample Slicing PM Data

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<?xml version="1.0" encoding="UTF-8"?> 

<measCollecFile xmlns="http://www.3gpp.org/ftp/specs/archive/32_series/32.435#measCollec"> 

    <fileHeader dnPrefix="Prefix" fileFormatVersion="32.435 V10.0" vendorName="Acme Ltd"> 

        <fileSender localDn="cucpserver1"/> 

        <measCollec beginTime="2020-12-02T05:01:37.863"/> 

    </fileHeader> 

    <measData> 

        <managedElement localDn="cucpserver1" swVersion="r0.1"/> 

        <measInfo measInfoId="measInfoIsVal"> 

            <job jobId="9327"/> 

            <granPeriod duration="PT900S" endTime="2020-12-02T05:01:37.863"/> 

            <repPeriod duration="PT900S"/> 

            <measType p="1">SM.PDUSessionSetupReq.0011-0010</measType> 

            <measType p="2">SM.PDUSessionSetupSucc.0011-0010</measType> 

            <measType p="3">SM.PDUSessionSetupFail.0</measType> 

            <measType p="4">SM.PDUSessionSetupReq.0010-1110</measType> 

            <measType p="5">SM.PDUSessionSetupSucc.0010-1110</measType> 

            <measValue measObjLdn="13999"> 

                <r p="1">2676.0</r> 

                <r p="2">1749.0</r> 

                <r p="4">3158.0</r> 

                <r p="5">1921.0</r> 

                <r p="3">1958.0</r> 

                <suspect>false</suspect> 

            </measValue> 

            <measValue measObjLdn="14000"> 

                <r p="1">2392.0</r> 

                <r p="2">1522.0</r> 

                <r p="4">3571.0</r> 

                <r p="5">2575.0</r> 

                <r p="3">1696.0</r> 

                <suspect>false</suspect> 

            </measValue> 

            <measValue measObjLdn="15155"> 

                <r p="1">5279.0</r> 

                <r p="2">3300.0</r> 

                <r p="4">7237.0</r> 

                <r p="5">5187.0</r> 

                <r p="3">3655.0</r> 

                <suspect>false</suspect> 

            </measValue> 

            <measValue measObjLdn="15174"> 

                <r p="1">5545.0</r> 

                <r p="2">3397.0</r> 

                <r p="4">7649.0</r> 

                <r p="5">5493.0</r> 

                <r p="3">3994.0</r> 

                <suspect>false</suspect> 

            </measValue> 

            <measValue measObjLdn="15175"> 

                <r p="1">5229.0</r> 

                <r p="2">3349.0</r> 

                <r p="4">8120.0</r> 

                <r p="5">5590.0</r> 

                <r p="3">4016.0</r> 

                <suspect>false</suspect> 

            </measValue> 

        </measInfo> 


    </measData> 

    <fileFooter> 

        <measCollec endTime="2020-12-02T05:01:37.863"/> 

    </fileFooter> 

</measCollecFile>