· Zen HuiFer · Case  · 2 min read

Pipeline Equipment Monitoring

This article introduces the key indicators, statistical schemes, application scenarios, and signal content design for pipeline equipment monitoring. By monitoring the operating status of the equipment, equipment failures can be detected in a timely manner to ensure the normal operation of the pipeline.

This article introduces the key indicators, statistical schemes, application scenarios, and signal content design for pipeline equipment monitoring. By monitoring the operating status of the equipment, equipment failures can be detected in a timely manner to ensure the normal operation of the pipeline.

Pipeline Equipment Monitoring

  • Monitoring Indicators
    • Equipment Operating Status

      • Standby 1
      • Running 2
      • Stopped 3
      • Maintenance 4
      • Abnormal Shutdown 5
    • Statistical Scheme

      • Equipment working conditions in terms of time
    • Application Scenarios

      • Monitor the status of pipeline equipment, detect equipment failures in time, and ensure the normal operation of the pipeline
    • Wildcard Subscription Mode

      • To avoid losing operating status information due to sensor failures, install multiple sensors and use wildcards to listen
      • Configure listening methods as needed
        • Most resource-intensive, one client listens to all, other topics configure one client per topic
        • Least resource-intensive, only one client listens to all
        • Other configurations, wildcard + specific individual listening methods, can facilitate troubleshooting of sensor failures
    • Signal Content Design

      • Since the status values are relatively simple, only 1-5, there is no need for base conversion for now. The message content is a four-digit fixed device ID + device status

        Example: 00012, the first four digits represent device number 0001, and 2 indicates that the current device is running

    • Configuration Example (only one wildcard is shown here)

      • First, add a client

        The parsing script is as follows

        function main(nc) {
            const deviceStatus = nc.substring(4,5)
            var dataRows = [
                { "Name": "deviceStatus", "Value": deviceStatus }
            ];
            var result = {
                "Time":  Math.floor(Date.now() / 1000),
                "DataRows": dataRows,
                "IdentificationCode": parseInt(nc.substring(0,4)),
                "DeviceUid": "5",
                "Nc": nc
            };
            return [result];
        }
        

        image-20240815110336130

      • Add signal configuration

        image-20240815111649454

      • Send simulated data and view the chart

        • The topic for sending simulated data is tp/random

        • IdentificationCode: 5 data situation is as follows

          image-20240815110627688

        • IdentificationCode: 1 data situation is as follows

          image-20240815112906685

      • Configure a script alarm

        • Suppose we need to configure an alarm for the status of the machine with identification code 5 on the pipeline, the script we write is as follows

          The script specifies the first item of data named device_bj in the parameter information

          function main(map){
          return  map.device_bj && parseInt(map.device_bj[0].Value) === 5
          }
          
        • Configure the alarm signal

          image-20240816151805370

        • Send simulated data and check the alarm situation

          image-20240816151914869

          image-20240816152110410

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