The term IoT or ‘Internet of Things’ was first coined in 1990, but it is only in the last few years that we are beginning to realize it’s true potential to fundamentally change how your business operates. IoT and especially Industrial IOT encompasses all types of sensors that send data at periodic intervals from far flung devices, the storage, processing, analysis of the data that require complex architectures specific to the device domain.
The Industrial IOT (sometimes referred to as the Industrial Internet) refers to the use of IOT technology to make machines smarter and optimize operations in areas such as manufacturing, logistics, supply-chain, etc.The idea behind the Industrial IOT phenomenon is that machines can capture functional, operational data at regular intervals and communicate that upstream. Analysis of this data can enable organizations to identify inefficiencies and catch problems much sooner, allowing them to save time and money and optimize operations.
Using Big Data technologies on IoT data allows for more detailed, longer-term analytics; new business insights can be gained, allowing predictions to be made for even more operational efficiency.
Orzota can help create an end-to-end solution for various use cases in the industrial IOT. By creating a roadmap to gradually add more functionality and intelligence to operations, we ensure that processes are streamlined and returns are measurable.
The components of an industrial IOT solution typically include:
- data acquisition from sensors
- real-time data visualization
- analysis and alerts
- process management workflows
- analytics, both descriptive and predictive
Move from Reactive to Predictive maintenance to achieve the highest equipment availability and lower costs. Predictive Maintenance is one of the primary applications in the Industrial IoT. Although many machines include smart sensors to give humans warning of internal problems and may even shut themselves down, the goal of predictive maintenance solutions is to go a step further and predict these problems well before they occur.
Orzota’s predictive maintenance solutions allow enterprises to identify warning signals and use advanced predictive analytics to prevent unscheduled down times, reducing expensive corrective or preventative maintenance. Real time sensor data is used to for condition monitoring and predictions, ensuring high availability and performance of your equipment. In addition, cost reduction also comes in from the reduction of technician hours and spare part inventory reduction
For businesses with large fleets, optimizing insurance cost can be a huge cost savings. One of the ways this is achieved is by using in-vehicle devices that monitor a variety of metrics including usage and driving behavior.
Building applications that provide detailed analytics and dashboards, can help fleet owners receive alerts for bad driving, automated service due alerts, etc. resulting in lower operational costs.
Orzota’s solution provides capabilities for Driver Behaviors Analysis, Usage Based Insurance , Fleet Monitoring and Location tracking, Vehicle Health Monitoring, Emergency Assistance.
Medical Device Monitoring
Smart Connected products are revolutionizing the medical device industry. On the patient side, this enables remote monitoring of medical conditions (such as BP, blood sugar for diabetics).
For Providers, this can provide the same benefits are predictive maintenance, leading to increased availability and reduced maintenance costs.
Usage monitoring can also provide analyses on whether the equipment is being used optimally and suggest staff training if required.