Customer Use Case for Waste ComposterService IoT and Remote Monitoring
Pre-Built Solutions for Waste Composter
Composting is the delicate procedure of supervised decomposition of organic waste, which gradually transforms waste to nutrient-rich manure. It requires deep knowledge and constant attention by experts to achieve a quality outcome in a timely fashion.
Nevertheless, due to the bizarre nature of the materials and the overall procedure, along with the space required and emitted odors, it is required that composting infrastructures and machinery are installed away from residential areas, rendering supervision a very tedious task.
Automatic composting machinery is a promising new idea, but still cannot substitute the insightfulness of a human supervisor.
We have developed an IoT Solution, it is a novel cloud service in composition with specialized Internet of Things (IoT)-based composting machinery that allows for unsupervised composting.
The focus of this work is on the tiered IT approach that is adopted following the edge-computing paradigm. More speciﬁcally, composting machinery, enriched with several sensors and actuators, performs a set of basic routine tasks locally and sends sensor values to a cloud service which performs real-time data analysis and instructs the composting machinery to perform the appropriate actions based on the outcome of the analysis.
The overall composting procedure is performed in a completely unsupervised manner, and ﬁeld evaluation has shown an up to 40% faster outcome in comparison to traditional supervised composting.
Manufacturers are under constant pressure to minimize downtime, improve quality, and respond faster to individual customer requirements, all while lowering costs.
The DataSar Manufacturing Apps are pre-built solutions that can be installed in less than 60 minutes without disrupting production. These apps provide manufacturers with real-time visibility into factory floor operations, from individual dataSar’s to assets to plants to enterprise-wide operations.
The DataSar Manufacturing Apps and building blocks help you improve operational efficiency and workforce productivity across the shop floor by equipping workers with role-based apps that bridge IT and OT, enabling your teams to view, understand, and act on industrial data in real-time. These apps and building blocks are built on the DataSar Industrial IoT platform to accelerate time to value.
It is imperative that its machines operate reliably and that parts and materials are available at every production step, to ensure that products being made meet quality standards. DataSar Manufacturing Insights from Kangiten leverages AI and machine learning (ML) techniques to provide answers to these challenges, by connecting data from man, machines, method, and materials for situational awareness.
Manufacturers face challenges such as defective products, on-time delivery slippage, excessive scrap and rework, unacceptable equipment downtime, and supply chain disruption. As the number of assets and production facilities increases, it becomes more difficult to diagnose and react to these challenges in a timely and scalable manner. Such difficulties can have cascading effects on production schedules and translate to higher production costs, lost profits, missed order fulfillment and reputational damage. Information silos and manual data collection add complexity to making near real-time operational decisions.
Use On-premises or in the Cloud
Leverage DatSar IoT on-premises as part of your local IoT ecosystem or make use of the platform as a cloud service. Work behind your firewall while interfacing with edge gateways and cloud providers. If planning to use DataSar on-premises, do not hesitate to get in touch with us to explore the possibilities.
Diesel Genset Use Case
Customer Use Cases for Diesel Genset (DG) Service IoT and Remote Monitoring.
Click to view.
Vending Machine IoT
Customer Use Cases for Vending Machine Service IoT and Remote Monitoring
Click to view.
Waste Composter IoT
Customer Use Case for Waste Composter Service IoT and Remote Monitoring
Click to view.