We are offering preventive and reactive maintenance services for IOT devices and ELV systems.
Techwind team of qualified engineers have extensive experience in supplying, installing and commissioning a range of ELV and security systems. Our engineers hold several certifications to enable us to meet the client's requirement well.
From a small office setup to large enterprise implementations, Techwind provides ELV solutions for clients in sectors such as Government, Banking, Financial, Hospitality, Education, Oil & Gas, Healthcare, and Telecommunication.
We deliver turnkey solutions that are tailor-made to client’s specifications, together with services that cover the design, supply, installation, integration, commissioning and maintenance of all type of low current systems.
We offer the following solutions:-
Predictive Maintenance
One of the biggest reasons to invest in IoT is to be able to manage your assets through predictive maintenance. Instead of performing calendar- based inspections and spare parts replacement, predictive maintenance allows you to monitor equipment and predicting failures.
With predictive maintenance strategy in place, maintenance jobs are only performed when it is needed and required, leading to reducing costs of spare parts and labor costs.
Inventory Management
Efficient inventory management can have a powerful impact on reducing equipment downtime and controlling maintenance budget. Connected stock that monitor inventory levels ensures the organization only has what is needed on their stocks. If the spare part level drops to specific level you have set up, with Integrated ERP and EAM system, you can notify procurement department automatically to order more. With predictive maintenance and data analysis, manufacturers are able to optimize spare parts stocks, freeing up needed capital and increasing accuracy of spare parts as well as maintenance budgets.
Data analysis in real time
Machine-to-machine, or M2M, is a term that can be used to describe technology that enables other
connected devices to exchange information and execute actions without the manual assistance of humans. The internet of things takes M2M even further by including additional element: data. Having access to all data from machinery in one network gives manufacturers the ability to accumulate and analyze the data and transform it to better predictive maintenance. Instead of waiting for a failure, manufacturers can accurately predict breakdown because IoT devices reports when operating conditions are out of specification. By identifying failure patterns and quickly recognizing issues, manufacturers are able to improve their production and significantly reduce downtime. That leads to increased customer satisfaction and less warranty claims.