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ProSight Sensor to Dashboard Guide for IoT Monitoring System Design and Industrial Dashboard Software

  • Aug 5
  • 10 min read

A good monitoring system looks simple from the outside. A sensor measures something, the data appears on a dashboard, and alarms notify the right people when conditions move outside the acceptable range.


The work behind that simple result is where most projects succeed or fail.


A ProSight system connects field measurements to cloud dashboards so operators, maintenance teams, and asset owners can see what is happening without standing beside the equipment. The process starts well before any device is installed. It begins with choosing the right measurement, matching it with the right sensor, selecting the best communications network, and building a dashboard that gives people clear information rather than noise.


This guide walks through the full sensor-to-dashboard process, from the first measurement decision through to commissioning and testing.


Wide-angle view of a field monitoring enclosure connected to industrial sensors beside a water tank
A ProSight system starts with the physical measurement in the field.

Start with the measurement that matters


Every strong IoT monitoring system design starts with a clear measurement goal.


Before selecting hardware, define what the system needs to know and why. This keeps the project focused and prevents a dashboard full of data that no one uses.


Common ProSight measurements include:


  • Water level in tanks, dams, sumps, channels, and reservoirs

  • Pressure in pipework, pumps, filters, and compressed air systems

  • Flow rate through water, wastewater, fuel, or process lines

  • Temperature in cold storage, process equipment, sheds, or remote assets

  • Humidity in storage areas, greenhouses, or production spaces

  • Vibration on pumps, motors, fans, and rotating equipment

  • Run status for pumps, generators, compressors, and packaged plant

  • Digital states such as open, closed, fault, trip, or overflow


The key question is not only “what can we measure?” It is “what decision will this measurement support?”


A tank level measurement may support refill scheduling. A pressure reading may reveal blocked filters or pump faults. A temperature measurement may support compliance checks. A vibration trend may help plan maintenance before equipment fails.


Define the measurement in practical terms:


  • The asset being measured

  • The normal operating range

  • The values that count as warning or critical

  • How quickly conditions can change

  • Who needs to see the data

  • What action should follow an alarm


This first step shapes every later decision. A fast-moving pressure system needs a different setup from a slow-changing rainwater tank. A remote dam site needs different communications from a factory floor with nearby power and signal coverage.


Match the sensor to the application


Once the measurement is clear, choose a sensor that can survive the environment and produce useful data.


The right sensor is not always the most expensive one. It is the one that matches the physical conditions, accuracy needs, mounting location, and maintenance expectations.


Choose the sensor type


Different measurements call for different sensor technologies.


Measurement

Common sensor options

Practical selection points

Level

Ultrasonic, hydrostatic pressure, radar, float switch

Consider foam, turbulence, vapour, tank shape, and access

Pressure

Gauge pressure transmitter, differential pressure transmitter

Match pressure range, media compatibility, and process connection

Flow

Magnetic, ultrasonic, pulse output meter, turbine meter

Consider pipe size, liquid type, straight pipe length, and power

Temperature

RTD, thermistor, thermocouple

Match temperature range, response time, and probe style

Vibration

Accelerometer, vibration transmitter

Consider mounting surface, frequency range, and machine type

Digital status

Dry contact, relay input, voltage input

Confirm signal type and isolation needs


For analogue measurements, ProSight devices commonly receive signals such as 4 mA to 20 mA, 0 V to 10 V, pulse, or digital inputs. The sensor output must match the ProSight input type or use a suitable interface.


Check the environment


Field conditions can be harsh. A sensor may need to handle:


  • UV exposure

  • Rain and washdown

  • High humidity

  • Dust

  • Salt air

  • Vibration

  • Electrical noise

  • Chemical exposure

  • Temperature extremes


Use suitable IP-rated housings, cable glands, connectors, and mounting hardware. In outdoor Australian sites, sun exposure and water ingress often create more issues than the electronics themselves.


Confirm the measurement range


Select a sensor range that covers both normal and fault conditions.


For example, if a pressure line normally runs between 300 kPa and 500 kPa, a 0 kPa to 1,000 kPa transmitter may give useful resolution while still allowing headroom for higher pressure events. A range that is too wide may reduce detail. A range that is too narrow may clip readings during abnormal conditions.


Good sensor selection gives the dashboard clean, stable values from day one.


Close-up view of a pressure transmitter and cable gland fitted to industrial pipework
The sensor must suit the measurement range, environment, and signal type.

Choose the best connectivity for the site


After the sensor is selected, decide how the data will reach ProSight. Connectivity has a direct effect on coverage, power use, cost, and reporting interval.


The three common options are 4G, NB-IoT, and LoRaWAN.


Use 4G when coverage and data volume matter


4G suits sites with mobile coverage and monitoring needs that may require more frequent updates or larger data packets.


It is often a good fit for:


  • Pump stations

  • Treatment plants

  • Industrial sites

  • Remote equipment with mains power or solar power

  • Assets that need frequent reporting

  • Sites where firmware updates or richer diagnostics are useful


4G generally provides higher bandwidth than NB-IoT or LoRaWAN. The trade-off is higher power use, so battery-only sites need careful design.


Use NB-IoT for low-power mobile network monitoring


NB-IoT suits low-data applications where devices send small packets at longer intervals. It uses licensed mobile network infrastructure and can perform well in some locations where standard mobile data is less suitable.


It is often used for:


  • Water meters

  • Tank levels

  • Environmental readings

  • Slow-changing utility assets

  • Battery-powered monitoring nodes


NB-IoT can support long battery life when configured correctly. Coverage must still be checked at the exact installation point.


Use LoRaWAN when a long-range private or public network is available


LoRaWAN is useful for low-power sensors that send small amounts of data over long distances. It can connect to a public LoRaWAN service where available, or to a private gateway installed on site.


It is often a good fit for:


  • Farms and rural properties

  • Council assets spread across an area

  • Large industrial sites

  • Environmental monitoring

  • Low-power remote sensors


LoRaWAN works best when message sizes and reporting intervals stay modest. It is not ideal for high-frequency data or large payloads.


Compare the options before committing


Connectivity

Best suited to

Main advantage

Watch point

4G

Frequent reporting and richer device communication

Higher bandwidth

Higher power use

NB-IoT

Small packets from low-power devices

Good battery potential

Coverage varies by site

LoRaWAN

Long-range, low-data monitoring

Low power and flexible networks

Gateway or network access required


A site survey is valuable. Check signal strength where the antenna will actually be mounted, not just at ground level or near a vehicle.


Configure the device and transmission interval


With the sensor and connectivity chosen, the ProSight device can be configured.


This step turns hardware into a working sensor-to-cloud solution. It tells the device what signal to read, how to scale it, how often to sample it, and how often to send data.


Set the input type and scaling


The device needs to understand the raw signal from the sensor.


For a 4 mA to 20 mA level sensor, the configuration may map:


  • 4 mA to an empty tank

  • 20 mA to a full tank

  • The scaled value to metres, litres, percentage, or another useful unit


For a pressure transmitter, the device may scale the analogue input to kPa, bar, or psi, depending on the site standard.


Digital inputs need clear state names. Instead of showing `0` and `1`, the dashboard should show labels such as `Pump Running`, `Pump Stopped`, `Valve Open`, or `Fault Active`.


Choose the sampling and transmission interval


Sampling and transmission are related, but they are not always the same.


Sampling is how often the device reads the sensor. Transmission is how often it sends data to ProSight.


A slow-changing tank may only need updates every 15 minutes, 30 minutes, or 60 minutes. A pump pressure system may need much shorter intervals. A vibration or fault monitoring system may need event-based reporting as well as scheduled updates.


Shorter intervals give more detail, but they also use more power and data. Longer intervals save power, but may miss fast events.


Set the interval based on:


  • How fast the process changes

  • How soon someone needs to respond

  • Battery or solar capacity

  • Network type

  • Data cost

  • Alarm requirements


For remote battery sites, avoid reporting more often than needed. For critical assets, make sure the interval supports timely response.


Eye-level view of a technician configuring an IoT monitoring device inside a weatherproof enclosure
Device configuration links the sensor signal to cloud data.

Build a dashboard people will actually use


A dashboard should make the system easier to operate. It should not force users to interpret raw engineering values unless they need them.


ProSight dashboards can turn field measurements into clear views for operations, maintenance, compliance, and management. Good Industrial dashboard software presents the right level of detail for each role.


Start with the asset view


A useful dashboard often begins with the asset or site.


For example, a water storage dashboard might show:


  • Current tank level

  • Percentage full

  • Estimated volume

  • Recent trend

  • Pump run status

  • Last communication time

  • Active alarms


A pump station dashboard might show:


  • Inlet level

  • Discharge pressure

  • Pump status

  • Flow rate

  • Runtime

  • Fault state

  • Alarm history


Use names that match the site. Operators should see `North Bore Tank` or `Transfer Pump 2`, not generic device labels.


Use trends to show behaviour over time


Current values are useful, but trends explain what is changing.


Trend charts help identify:


  • Gradual leaks

  • Rising pressure drop across a filter

  • Tank refill patterns

  • Pump cycling

  • Temperature drift

  • Network dropouts


Set chart time ranges that suit the process. A cold room may need hourly and daily views. A reservoir may need weekly and monthly views. A pressure transient may need much shorter windows.


Keep the layout simple


A good dashboard answers three questions quickly:


  • What is happening now?

  • Is it normal?

  • Does someone need to act?


Use colour carefully. Green, amber, and red can work well when the meaning is consistent. Avoid filling the screen with too many gauges. A clean trend, a current value, and a clear alarm state often work better than a crowded panel.


Set alarm thresholds that reflect real action


Alarms are only useful when they lead to action. If thresholds are too tight, people start ignoring notifications. If they are too loose, problems go unnoticed.


Start with the normal operating range defined in the first step. Then set warning and critical levels based on the action required.


For tank level, this might mean:


  • Warning low level when refill planning should begin

  • Critical low level when supply risk is high

  • Warning high level when overflow risk is possible

  • Critical high level when immediate action is required


For pressure, this might mean:


  • Low pressure warning for poor supply or pump issues

  • High pressure warning for blockage or valve problems

  • Critical high pressure for equipment protection


Add delay and hysteresis where needed


Some signals fluctuate. Without delay or hysteresis, alarms may chatter on and off.


Delay means the value must remain outside the threshold for a set time before the alarm fires. Hysteresis means the value must return past a reset point before the alarm clears.


For example, a tank level may trigger a low alarm at 20% and clear only when it rises above 25%. This prevents repeated alarm changes around the same value.


Decide who receives each alarm


Not every alarm needs to go to every person.


A maintenance fault may go to a technician. A compliance alarm may go to an operations manager. A critical overflow alarm may go to several contacts.


Define:


  • Alarm name

  • Trigger condition

  • Delay

  • Reset condition

  • Notification method

  • Escalation path

  • Expected response


This makes alarms part of the operating process, rather than background noise.


Overhead view of a rugged tablet showing a live monitoring dashboard beside installed field equipment
Dashboards and alarms turn field data into clear decisions.

Commission and test the complete system


Commissioning proves that the system works from the sensor through to the dashboard and alarm notifications.


Do not treat commissioning as a quick power-on check. Test each link in the chain.


Check the physical installation


Start at the field device.


Confirm:


  • Sensor is mounted securely

  • Process connection is sealed

  • Cable glands are tight

  • Polarity and wiring are correct

  • Antenna is mounted in a suitable location

  • Enclosure is sealed

  • Power supply is stable

  • Labels match the dashboard names


Poor wiring or water ingress can make a well-designed system unreliable. Field checks save time later.


Verify measured values


Compare the dashboard value with a known reference where possible.


For a tank, compare against a manual dip, sight glass, or known fill level. For pressure, compare against a calibrated gauge. For temperature, compare against a trusted thermometer.


If the field value and dashboard value do not match, check:


  • Sensor range

  • Input type

  • Scaling

  • Units

  • Wiring

  • Calibration offset

  • Dashboard display settings


Test communications


Confirm the device sends data at the expected interval. Check the last communication timestamp and trend history.


If communications are weak, adjust the antenna position, check cable losses, or consider a different network option. A system that works only when the enclosure door is open or when conditions are perfect needs attention before handover.


Test alarms from end to end


Force or simulate alarm conditions safely.


Confirm:


  • The dashboard changes state

  • The alarm triggers at the correct threshold

  • Delay settings work as intended

  • Notifications reach the right people

  • Alarm messages are clear

  • Alarm reset works correctly

  • Escalation behaves as planned


Record the results. A simple commissioning sheet with values, timestamps, and outcomes can be valuable later when troubleshooting or expanding the system.


Hand over the system with clear operating rules


A ProSight system is most valuable when people know how to use it.


Handover should include more than login details. It should explain the measurement purpose, dashboard layout, alarm meanings, and basic checks.


Include:


  • Asset names and locations

  • Sensor type and range

  • Network type

  • Reporting interval

  • Dashboard pages

  • Alarm thresholds

  • Notification contacts

  • Basic fault checks

  • Support process


Also decide who can change settings. Alarm thresholds, reporting intervals, and dashboard layouts should be controlled so changes do not create confusion.


A simple review after the first few weeks can help refine the system. Real operating data may show that an alarm threshold is too sensitive, a chart needs a different time range, or a reporting interval can be reduced to save power.


What a successful ProSight build looks like


A successful ProSight build is not just a connected sensor. It is a complete path from field measurement to clear decision.


The process is straightforward when handled in order:


  1. Select the measurement that supports a real action.

  2. Choose a sensor that suits the range, environment, and signal type.

  3. Pick 4G, NB-IoT, or LoRaWAN based on coverage, power, and data needs.

  4. Configure the device so raw signals become useful values.

  5. Build dashboards that show current state, trends, and asset context.

  6. Set alarm thresholds that match real response actions.

  7. Commission the system from sensor to cloud before handover.


When each step is done properly, ProSight becomes more than a remote monitoring tool. It becomes a dependable way to see assets, catch issues earlier, and make better day-to-day decisions without unnecessary site visits.


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