With the increased usage of Internet, the Internet of Things (IoT) is creating a vast network of interconnected assets with an aim of connecting processes. The introduction and implementation of IoT have helped mitigate industrial challenges, promote better productivity and maximise ROI.
According to a study by AT Kearney (commissioned by Cisco), countries in the ASEAN region stand to gain a lot from 5G network. For telcos alone, 5G could add 6 to 9% percent to consumer revenue and boost 18 to 22% of enterprise revenue by 2025.
The presence of IoT in the industrial processes is going to develop new opportunities and improve maximum industrial aspects like operational inefficiency, resource utilization, and increase the reach of services among potential customers.
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- Unidentified leakage and wastage
- Labour intensive processes
- Inability to track real time data
- Remote locations
- Downtime due to instrument error
- Inaccurate data representation
Remote monitoring:
Most industrial operations are required to operate for 24/7 in order to regularly meet the industrial demands. To reduce downtime, sensors and controllers in the treatment plant must be properly maintained.
IoT elevates data gathering capabilities and establishes real-time monitoring in its infrastructure. By using real-time data gathered through sensors on each points, performance characteristics of machines can be monitored that further increase the productivity of instruments and boost maintenance tasks.
Optimizing processes:
Automation reduces the number of repetitive tasks and the amount of physical labour work that is generally demanded from staff. Programming and automating controls will eliminate possible human errors and eventually help boost the efficiency of a process.
Preventive Diagnostics:
Apart from monitoring of processes, real-time communication can also help plant operators to monitor the health of the instrument. When there is an inconsistency in reading or when a sensor fails to provide measurement, operators can be alerted immediately. The ability to pinpoint, diagnose and troubleshoot failure in an instrument will help prolong the lifespan of instruments and prevent possible damage to the operation.
Sustainable Operation:
Transparent data representation of a plant allows operators to identify patterns and trends, engage in more meaningful analysis, and make accurate decisions. Sustainable use of resources will help businesses unlock and discover new revenue streams in the market.
The factors and principles below should be taken into consideration when developing an IoT-based solution:
- Affordability: Low cost IoT monitoring (capital and operating expenses)
- Automation: Elimination of manual repetitive tasks prone to human error
- Scalability: Highly scalable and standardized framework
- Ease of deployment: Ease of installation, configuration, and maintenance; minimally invasive
- Transparency: Provides end-to-end visibility
- Extensibility: Integration with cross sectoral use-cases; common data lake
- Data privacy: Stringent controls of data privacy and security
- Innovation: Promotes innovation and R&D (analytics, sensor, and networking technology, etc.)
Resource utilization can help improve operational efficiency. It is important to define and identify the data that you need to measure and collect. Pick and choose the right set of data that reflects the needs and enable prompt actions to improve the management process.
Water quality parameters include chemical, physical, and biological properties and can be tested or monitored based on the desired water parameters of concern. Parameters that are frequently sampled or monitored for water quality include temperature, dissolved oxygen, pH, conductivity, ORP, and turbidity. Water monitoring may also include measuring total algae, ammonia, nitrate, chloride, or laboratory parameters such as BOD and TOC.
Physical parameter:
- Solids
- Turbidity
- Colour
- Temperature
- Odour
Chemical parameter:
- Alkalinity
- pH
- Dissolved Oxygen (DO)
- Biochemical Oxygen Demand (BOD)
- Chemical Oxygen Demand (COD)
- Total Organic Carbon (TOC)
- Chlorides
- Nitrogen
- Phosphorus
- Oil and Grease
- Gases
