No matter if you have enabled equipment, legacy devices or if you plan to start new products from scratch, Solair's IoT platform can connect every product and enable Better Business across all industries.
Solair (Microsoft)Solair intend to achieve better business through Internet of Things (IoT). Their goal is to address business needs through the delivery of best-in-breed and end-to-end IoT solutions, ingrained in their commitment to realize their customers’ vision. Solair is an application platform for the IoT that makes your business smarter by connecting it to your products through compelling IoT applications. Year Founded: 2011
- Application Industries
Construction & Buildings Equipment & Machinery
- Application Functions
Maintenance Product Development
- USE CASES
Machine Condition MonitoringEarly predictions on equipment malfunctions and service maintenance can be automatically scheduled ahead of an actual part failure by installing sensors inside equipment to monitor and send reports.Machine condition monitoring is used to determine the condition of a machine with the intent to forecast mechanical wear and failure. The predicted data provides health information about the machine and helps to predict machinery failure. The monitoring equipment tracks changes in temperature, vibration, and output of machines in order to detect an imbalance, corrosion, wear, misalignment, sediment build-up, or poorly lubricated parts.Condition monitoring has gained importance in line with increased company focus on productivity and asset utilization.Process Control & Optimization (PCO)Process Control and Optimization (PCO) is the discipline of adjusting a process to maintain or optimize a specified set of parameters without violating process constraints.The PCO market is being driven by rising demand for energy efficient production processes, safety and security concerns, and the development of IoT systems that can reliably predict process deviations.Fundamentally, there are three parameters that can be adjusted to affect optimal performance:- Equipment optimizationThe first step is to verify that the existing equipment is being used to its fullest advantage by examining operating data to identify equipment bottlenecks.- Operating proceduresOperating procedures may vary widely from person-to-person or from shift-to-shift. Automation of the plant can help significantly. But automation will be of no help if the operators take control and run the plant in manual.- Control optimizationIn a typical processing plant, such as a chemical plant or oil refinery, there are hundreds or even thousands of control loops. Each control loop is responsible for controlling one part of the process, such as maintaining a temperature, level, or flow. If the control loop is not properly designed and tuned, the process runs below its optimum. The process will be more expensive to operate, and equipment will wear out prematurely. For each control loop to run optimally, identification of sensor, valve, and tuning problems is important. It has been well documented that over 35% of control loops typically have problems. The process of continuously monitoring and optimizing the entire plant is sometimes called performance supervision.Structural Health Monitoring (SHM)Structural health monitoring is a tool used to ensure the safety and soundness of structures. Structural health monitoring uses an assortment of sensors to collect and analyze data pertaining to any damage or deterioration that a structure may receive over the course of its life. The data that structural health monitoring systems acquire can help its users avoid structural failures.Numerous structural health monitoring systems are available. They differ by cost, quality, purpose, and technology. They use many types of structural health monitoring devices and software systems to analyze the data retrieved from the devices. The type of structural health monitoring system that should be used is specific to the structure or structures being monitored.Structural health monitoring is used on structures such as bridges, skyscrapers, stadiums, wind turbines, ships, airplanes, and many others.Factory Operations Visibility & IntelligenceVisualizing factory operations data is a challenge for many manufacturers today. One of the IIoT initiatives some manufacturers are pursuing today is providing real-time visibility in factory operations and the health of machines. The goal is to improve manufacturing efficiency. The challenge is in combining and correlating diverse data sources that greatly vary in nature, origin, and life cycle.Factory Operations Visibility and Intelligence (FOVI) is designed to collect sensor data generated on the factory floor, production-equipment logs, production plans and statistics, operator information, and to integrate all this and other related information in the cloud. In this way, it can be used to bring visibility to production facilities, analyze and predict outcomes, and support better decisions for improvements.