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Water Quality Monitoring IoT Solution: real-time insights + improvements made simple.

Rayven is world-leading, Australian technology that enables you to easily create and deliver a custom Water Quality Monitoring IoT solution for your organisation, fast and affordably.

Monitor + manage real-time water quality and run-off with a custom, real-time IoT solution.

Conquer the challenge of assessing, monitoring and improving air quality, simply.

Rayven's air quality monitoring solution enables you to integrate infield devices, third-party systems, and assets to deliver real-time and predictive insights on performance and how it can be improved. Our innovative solution is built on our world-leading Dynamix all-in-one data, AI + IoT platform and comes complete with inbuilt machine learning, automation, and AI capabilities, enabling you to maintain a safe, healthy, and compliant environment, simply.

Discover what you can achieve utilising data-driven insights and Industry 4.0 technology.


Remote, real-time water quality monitoring.

Deploy sensors and easily integrate them to get accurate, real-time pollutant and water flow, volume, pH, temperature (+ more) metrics.


Set thresholds + trigger alerts: make compliance simple.

Set-up thresholds and trigger alerts. Use automation + control to alert people, shutdown machinery, and mitigate problems, fast.


Build interactive dashboards + drill into performance.

Build custom dashboards to explore performance. Interrogate sources, analyse the different factors that contribute to readings; spot trends in Big Data.


Add predictive analytics + forecast outcomes.

Our solution enables you to utilise inbuilt predictive analytics with your own and third-party data to predict outcomes and enable you to better plan for future environmental conditions.


Fits all existing
hardware + technologies

Our Water Quality Monitoring IoT solution will integrate with any machinery, weather system, hardware, sensor, technology, or data repository - guaranteed.


Monitor more: add air, noise, dust - anything.

Incorporate different in-field sensors to develop a complete, real-time view of environmental performance + enhance predictive modelling.

Ask an Expert

Do you want to ask a question about water quality + IoT? Book a demo? Or would you like to know how we can help you to create brilliant applications? Let's talk.


Speak to
the team.


How your Water Quality Monitoring IoT solution is put together.

New and existing data, (both real-time and historical), alongside custom logic, thresholds, and predictive analytics is used to create your custom Water Quality Monitoring IoT solution.


Our solution can handle data from anywhere in any format, and at all levels:

Level 1 Data: Manual entry of data via custom forms built within our solutions.

Level 2 Data: Bespoke spreadsheet ingestion via FTP or manual uploads.

Level 3 Data: Integration of real-time data from IT systems and corporate systems.

Level 4 Data: Real-time integration with in-field technologies, asset systems + in-field sensors.

Water Quality Monitoring IoT solution FAQs.

Question: What is an Water Quality Monitoring IoT solution, and why is it important?

A water quality monitoring solution using Internet of Things (IoT) technology enables industries and those responsible for water quality to monitor key metrics in real-time. Using infield sensors and integrated systems, they can gather data on various parameters such as pH levels, turbidity, temperature, and chemical composition, transmitting this information to centralised systems or cloud-based IoT platforms for instant analysis, facilitating the early detection of anomalies or shifts in water conditions.

Advanced systems will incorporate machine learning and predictive analytics, delivering real-time insights to users of current and future risks, as well as providing advice or automated responses to avoid harm or compliance breaches.

Real-time data collection through IoT solutions assists you to optimise water quality management, assess changes over time, and identify risks to human and environmental health before they occur. Additionally, for industrial businesses, it ensures operational integrity and represents good risk management in water-intensive processes as contaminated water can compromise end products and damage equipment.

Question: What's involved in a Water Quality Monitoring IoT solution?

IoT Monitoring for water quality encompasses a system of interconnected devices, sensors, and software platforms used to monitor, analyse, and manage pollution. Here's how it can work:

  • Sensors: Specialised pollutant and environmental sensors measure a range of parameters, including pH levels, temperature, turbidity, dissolved oxygen, conductivity, and specific chemicals or contaminants. The selection of sensors depends on the specific requirements and the potential contaminants or quality issues of concern, but can be placed strategically in urban, suburban, or rural areas to create a network that provides comprehensive coverage of a region and/or operational site (such as within mining or large-scale infrastructure projects).
  • Data collection + transmission: These sensors collect data continuously or at set intervals. The data is then transmitted wirelessly to a central server or cloud platform. Advanced IoT platforms can handle data from thousands of sensors simultaneously.
  • Real-time data analysis: IoT platforms analyse the data to generate insights into the sources and levels of pollutants. Patterns and trends can be identified and delivered to people via data visualisations and dashboards.
  • Mapping: Visualisation tools can provide real-time water quality maps, historical averages, as well as predicted movements and future levels. These maps can be updated in real-time, allowing businesses and public administrators to make informed operational decisions.
  • Responsive actions + alerts: In advanced setups, the system can be integrated with communication systems and pollution mitigation solutions. For instance, if poor water quality is detected in specific areas, operational machinery such as pumps or sluices may be closed to prevent contaminants from spreading.
  • Machine Learning + predictive analytics: Use an advanced platform's inbuilt capabilities to analyse multiple data sources, both real-time and historical data, to predict breaches and water movement based on conditions. Use it to make better decisions both via human and AI.
  • Application: IoT platforms can support worker, regulatory and public-facing apps and dashboards that deliver critical insights in real-time. These enable those responsible for monitoring and reporting on problematic areas to better manage and prevent breaches, as well as supply necessary data to connected parties.

Question: How can real-time water quality monitoring help industrial businesses?

Real-time water quality monitoring equips industrial businesses with the tools to operate more efficiently, sustainably, and profitably. It offers both immediate benefits in terms of operational optimisation and long-term advantages by fostering resilience and adaptability in a changing environment:
  • Operational efficiency: Continuous monitoring ensures that water used in processes meets quality standards. This can prevent disruptions caused by poor water quality, such as equipment malfunction or compromised end products, leading to consistent production and reduced downtime.
  • Cost savings: By promptly identifying and addressing water quality issues, businesses can avoid costly repairs or replacements of equipment damaged by corrosive, scaling, or fouling water. Furthermore, early detection of anomalies can prevent the waste of raw materials in processes where water quality is compromised.
  • Compliance + reporting: Many industries are subject to strict regulations concerning water discharge and consumption. Real-time monitoring ensures businesses remain compliant by providing instant data on water quality. It also simplifies reporting processes, as data is readily available and can be automatically compiled into required formats.
  • Predictive maintenance (PdM): With real-time data and analytics, businesses can predict when equipment related to water processing or handling might fail or require maintenance, allowing them to address issues before they escalate.
  • Risk management: Early detection of contaminants can prevent potential health risks to employees and avoid environmental incidents that could harm a company's reputation and result in legal ramifications.
  • Resource optimisation: Monitoring water quality in real-time enables businesses to optimise water usage. For industries that rely heavily on water, understanding its quality can help in efficient allocation, recycling, or reuse, leading to significant resource and cost savings.
  • Enhanced decision-making: With access to real-time data, decision-makers can make informed choices regarding water sourcing, treatment requirements, and process adjustments. This dynamic approach allows for flexibility and adaptability in operations.
  • Environmental stewardship + sustainability: As industries face increasing pressure to adopt sustainable practices, real-time water quality monitoring can highlight areas for improvement and demonstrate a company's commitment to environmental responsibility.
  • Stakeholder + customer confidence: Demonstrating proactive management of water resources and quality can bolster confidence among stakeholders, investors, and customers. It showcases a company's dedication to quality, safety, and sustainability.
  • Scalability + adaptability: As businesses grow or as regulations and standards evolve, real-time monitoring systems can be scaled or adapted to meet new requirements or challenges. This flexibility ensures that businesses remain compliant and efficient, even as conditions change.

Question: What are the key features to look for in a Water Quality Monitoring IoT solution?

When purchasing or creating a Water Quality Monitoring IoT solution, it's crucial to look for:

  • Real-time data processing: Get immediate analysis and feedback on air quality or AQI readings, providing for instant alerts on threshold breaches.
  • Scalability: Ability to handle data from multiple sensors, systems and third-party systems spread across large areas. Expandability to accommodate growth in monitoring infrastructure and different sites - without blowing out costs.
  • Advanced data analytics: Advanced tools for analysing and visualising trends and patterns in real-time using all data sources both current and historical. Predictive analytics for anticipating future issues as well as remediation steps.
  • Integration: Complete compatibility with sensors, other IoT systems, legacy business systems, as well as external data sources and SaaS is critically important, as is API support for custom integrations and applications.
  • Geo-tagging + mapping: Precise location data and visualisation capabilities using maps for spatial understanding of water quality.
  • Secure data transmission: Encryption and secure protocols to protect data integrity. Measures to prevent unauthorised access.
  • Alerting + notification system: Customisable thresholds for alerts. Multiple notification channels (email, SMS, app notifications).
  • Remote control, configuration + device management: Ability to adjust sensors and other machinery remotely. Over-the-air updates for firmware and software.
  • Cloud connectivity + storage: Data stored in a secure cloud environment. Easy access to historical data and trends.
  • User-friendly, fully-customisable interfaces: Intuitive dashboards and reporting tools, tailorable for different uses. Mobile access for on-the-go monitoring.
  • Regulatory + standard compliance: Adherence to industry standards and regulations related to IoT devices and water quality readings.

Your Water Quality Monitoring IoT solution will integrate with anything, including:

Sense IoT
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Get real-time data + Industry 4.0 solutions that improve your business.

Discover Rayven's Dynamix integrated data, AI + IoT platform, IoT solutions, and world-leading sector expertise; plus how your business can benefit from it.

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Offer IoT + Industry 4.0 applications to your customers the easy way.

Access form-free resources and discover how you can create the applications your customers need without ever having to write a single line of code.

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Australian technology solving real-time data and Industry 4.0 challenges, fast.


Defeat system fragmentation, data silos + legacy environments.

Integrate all your data + systems to get complete, real-time oversight and enhance decision-making.

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Extract the power from your data with a complete data + Industry 4.0 toolkit.

Explore your data, uncover trends, and leverage predictive analytics to improve operational performance.


Create real-time industrial applications that improve decision-making + performance.

Create custom real-time industrial solutions that give your people live insights, accurate forecasts + new tools.


Get help solving your data science, solution design + technical challenges.

Rayven offers 24/7 support and end-to-end services that enable you to start, scale + succeed with Industry 4.0.

Discover the what, why, how, and where to start of delivering on the potential of integrated data, AI + IoT solutions: free, instantly.

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Click below to explore some of our other real-time industrial IoT solutions in use around the world:


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One of our data science, AI + IIoT specialists will contact you for a live one-on-one demonstration or to answer any questions.