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S2NWells and their Pump Stations Monitoring System

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The S2N Wells and their Pump Stations monitoring system is designed to continuously monitor the operation of wells and their associated machinery; measures their water level and water pressure, records water meter data and status of the house (closed / open), monitors pumps’ continuous power consumption and operation time, indicates their current consumption, measures machine house water pressure, records water meter data and status of the house (closed / open), and gives warning of possible flooding.

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It successfully provides measurement and data collection without human intervention even in large areas that are not adequately equipped with communication infrastructure.

Wireless LoRaWAN or NBIoT technology is used to transmit measurement data to a cloud server, where the user can reach them with normal internet access. The data is displayed in a tailored way according to the desires of the user, even on a mobile device. Access to the data is performed in a secure, password protected manner. Staff members with the needed authorization can even track the measurement results on a mobile phone, allowing alerts to be handled quickly, before crises occurs.

By processing and analyzing large amounts of data regarding the condition and operations of equipment in real time, maintenance processes can be optimized and more efficient use of resources can be achieved. It is also possible to coordinate the operation of wells being great distances from each other. Due to continuous monitoring, operating and maintenance costs can be greatly reduced and power consumption can be optimized. High cost of preventive maintenance can be replaced by predictive maintenance before issues occur. The useful life of the equipment will increase, anomaly detection becomes more accurate, major failures and long costly shutdowns can be prevented. The probability of failure and needed adjustments can be predicted with a high degree of accuracy, and even the cost of installation is reduced.

If threshold values, defined jointly with the user, are reached or exceeded, the system sends a warning signal / alarm, as well as advice based on trend analysis; e.g. alarm can already be sent in case of excessive water consumption trends, not just when the limit values are reached.

All individual elements of the monitoring system can be coordinated, the system is able to send warning and alarm signals even on the basis of relative values.

The system automatically generates daily / weekly / monthly reports on the measurement data, which can be then exported in xls or csv format according to the user`s desires. Reports allow automatic support of daily water abstraction data as well.

If threshold values, defined jointly with the user, are reached or exceeded, the system sends a warning signal / alarm, as well as advice based on trend analysis; e.g. alarm can already be sent in case of excessive water consumption trends, not just when the limit values are reached.

All individual elements of the monitoring system can be coordinated, the system is able to send warning and alarm signals even on the basis of relative values.

The system automatically generates daily / weekly / monthly reports on the measurement data, which can be then exported in xls or csv format according to the user`s desires. Reports allow automatic support of daily water abstraction data as well.

The S2N Well and Machine House Monitoring System can be successfully used to monitor both new and existing operating wells and machine houses.

  • Continuous monitoring of wells and machine houses
  • Well water level measurement
  • Measurement of pumps’ performance,
  • Measurement of pumps’ operating time and current consumption
  • Engine house monitoring (recording of water pressure, water volume meter data, etc)
  • Measurement of the amount of water produced
  • Pressure measurement
  • Facility status (closed / open) and flood monitoring
  • Water level of well(s)
  • Continuous electrical power of the pump(s)
  • Pump runtime
  • Pump current consumption
  • Machine house water pressure
  • Recording of water meter data in the machine house
  • Facility status (open / closed)
  • Flood detection