Smart Laundry

This voluminous data is presented in clear dashboard aggregates that will allow any business to assess the performance of its own operations against the targets it sets itself as well as compare relative performance of its partners against the partner’s own targets and against each other. It will also allow for the timely issue of instructions for reactions to emerging situations acting across the barriers between itself and its partners and between the partners themselves where it is to its benefit to do so.

An industrial concern will be able to ensure that its clients achieve their supply chain objectives, that they are able to monitor and manage customer satisfaction goals through analysis of customer behaviour, and finally, manage its HR/workforce and contracted employment complement in order to ensure that efficiency is primary out of the organisations and can be accounted for and losses prevented and bottom line affected positively.

To ensure proactive operational management, an industrial laundry digitisation would be able to improve its operational efficiencies and apply best business practices while minimising downtime to providing uninterrupted services and improved customer satisfaction.  The implementation of AFFECTLI will enable management to be more efficient in monitoring and managing temperatures of boilers, water usage and monitoring and further along the line, distribution management.

The client´s IoT endpoints and assets and all the required variables would be integrated and captured into the AFFECTLI platform to give an overview of the business in real-time using GIS and geo-reporting tools. 

Within the Situational Awareness feature of AFFECTLI, icons representing the client’s assets change colour when a fault occurs (such as overheating boilers, or tanks running low of water) or an alarm is triggered when lights are left off or drier doors are not closed properly) making it easier to identify and address problems as and when they arise. The status colour changes in real time, as the issues are resolved or escalated.

Pre-defined parameters enable processes to manually or automatically be started, when alarms are triggered.  These processes are in the form of a work card / or tickets which are generated and sent to the nearest and most qualified service agent for attention. The bi-directional communication between the platform and smart devices also allows for AFFECTLI to switch devices on or off or communicate a relevant command to automatically rectify alarms, without human intervention.  (This is, of course, device dependent.)  With AFFECTLI supporting an agile environment, this feature also provides for contextual collaboration on all tasks, ensuring that the right people get the right information at the right time, as well as provides historical data and a full audit trail.

Having applied calculations to historical data received from signals and alarms, we are able to establish a predictive pattern of when a tank or boiler would be empty based on the rate of consumption.  We would also be able to assign technicians prior to service dates of drying / washing or ironing equipment, in order to schedule these routine service and maintenance tasks according to load schedules.

AFFECLI can be configured so that parameters are applied to the intelligence, to notify operators minutes or hours ahead of time that the tanks would be reaching critically low levels, providing tools for a proactive approach to avoid unnecessary service interruptions and emergency shutdowns.  Regular reports of water levels of tanks, temperatures and meter readings can be provided as and when required.  Published at incremental intervals that are relevant to the operational requirements, giving them an accurate overview of water level, temperature and other readings of their operations.