With billions of devices becoming network-enabled, the Internet of Things (IoT) has the potential to transform and disrupt businesses, industries, and even buildings and cities. These connected devices are driving innovation in products and customer experiences.
Injazat works with a number of partners and vendors on IoT projects from cloud applications to big data analytics. This gives us the capability to design and implement end-to-end solutions, tailor-made for major enterprises.
Making cities more efficient, more sustainable and more livable is growing increasingly critical, as 60% of the world’s population will be urban by 2050, according to forecasts.
In smart cities, an IoT network of sensors and technology can deliver these improvements, by providing actionable data to help the lives of residents and visitors:
AI-powered surveillance systems can detect individuals, objects and incidents that may prove a threat, especially when combined with data from connected alerting systems.
Water & Waste Management
Smart water grids can measure and report on the flow of water and waste in real time, giving managers the insight needed to manage supplies and ensure the security and integrity of the grid. And sensors can even monitor water quality, to make sure it is safe to consume.
Smart water meters can detect and report low water flow or backflow, helping utility providers improve response times to incidents and prevent major issues.
Smart pumps and valves can monitor environmental conditions and adjust the flow of water – or even halt it when necessary. This can cut water losses in the event of breaches or blockages, and prevent flooding.
Traffic & Infrastructure Visibility
Traffic-monitoring sensors and cameras can identify traffic patterns, helping planners improve road efficiency in the long term – for example by redesigning dangerous intersections – and also allowing authorities to identify and respond to incidents such as faults or accidents.
Smart buildings are the result of the continual development of systems designed to improve comfort and efficiency. They can be key to an organisation’s success, cutting costs through intelligent heating, cooling and lighting, and improving overall building operations:
IoT sensors can monitor and report on the state of equipment, reducing the need for manual checks and allowing maintenance to be scheduled when required. By moving to predictive maintenance, organisations can cut commercial disruption and maximize uptime.
Air Quality Measurement
Connected devices throughout a building can provide live information on air quality, including CO2 levels, helping to maintain a healthy and productive environment for all occupants.
Real-time Test Data
A smart building can help builders or facility managers to construct experiments and gather data faster, more simply and more efficiently than before. This can pay dividends through improved efficiency, enhanced performance or new building features.
Efficient Construction Management
IoT makes managing construction projects easier, through functions such as equipment monitoring and repair, inventory management and real-time alerts, GPS tagging and tracking of materials, and safety enhancements with tags and connected sensors.
Smart buildings can cut energy usage significantly through several methods. Energy automation ensures heating/cooling and lighting are only provided to areas of a building that are in use, while smart actuators for HVAC systems allows centralized control of building systems.
Smart sensors throughout a building can ensure temperatures remain optimal, while automated integration of weather forecasts and data can cut costs and improve comfort.
Connected devices can let facility managers track the usage and location of their critical assets. From improving maintenance, utilization and loss prevention, as well as longer-term asset planning, IoT lets managers make the most of their assets.
Also known as Industry 4.0, IIoT takes existing automation and machine-to-machine (M2M) communication technologies, and enhances them with fully-connected sensors, big data analytics and machine learning systems. Applications include:
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