The system automatically or manually creates a work orders on the site or remotely with automatic delivery of work order to contractors and maintenance crew. It creates digital history service book. Plans and budgets the maintenance. Automatizes periodic services or automatizes service request based on preventive or predictive or planed requests. It can also close a work order.
Example: 7 lights in an office are using 350W of power. Power drops to 250W. The program knows that two lights have malfunctioned and sends a work order to outsourced or employed electrician with the information on building/office and the type of light bulbs that needs replacement. After the lights are back in service and the consumption is back to 350W, the program automatically closes the working order and mark its “job completed”.
USE PREDICTIVE AND PREVENTIVE MAINTENANCE FEATURES AND HARDWARE
USE PREDICTIVE AND PREVENTIVE MAINTENANCE FEATURES AND HARDWARE
HAVE A DIGITAL SERVICE BOOK OF ALL ASSETS
GreenTwin CAN USE DATA FOR MACHINE LEARNING OR AI
In most cases employees will report faults such and GreenTwin can perform as help-desk. All the reports are sorted and gathered and then sent to (a) head of maintenance, (b) directly to company in charge, e.g. outsourced IT company or combined. Since every object in Greentwin has its own ID, there is no chance for one fault to be reported more than one time. In other apps this usually causes problems when employees see the fault and they all report it.
Regardless of to whom the fault is sent, it is logged in the system and head of maintenance or head of certain location or both are always notified. In cases when report will be created by system, it will also be closed by the system. When lightbulb or or toilet tank is replaced, system will see that normal values of consumption are being restored and will close the WO of the maintenance company and notify teh person in charge inside your company. This saves a lot of time both to maintenance and management people.
Preventive maintenance tasks can be automatic, based on time or machines work hours or mileage, system will create WO and send it to the correct maintenance person or company. All reported faults, opened WO, WO in progress and closed WO are seen in the dashboard. Of course different setting can be applied, so head of maintenance sees all, employee sees what he or she reported, electrician sees WO that are assigned to him only, and so on.
Some faults can be piled up for later. E.g. there are stains on walls that needs paint-job, system or the head of maintenance can put them in a bin. At one time, when the bin is full enough, all faults can be restored with one sweep over. Of course, the crew that will perform paint-job, has all the location on the map so they wont miss even single one. If walls are properly described within asset management module, the crew will also know which colour to bring, how tall must be the latter, and so on. They can automatically get instructions about how to behave at your company, where to check in, when to come, what are the security measurements, who to report to, where to park, etc.
Doing maintenance with GreenTwin is effective, accurate, traceable, easier and cheaper for all parties.
Preventive maintenance tasks can be automatic, based on time or machines work hours or mileage, system will create WO and send it to the correct maintenance person or company. All reported faults, opened WO, WO in progress and closed WO are seen in the dashboard. Of course different setting can be applied, so head of maintenance sees all, employee sees what he or she reported, electrician sees WO that are assigned to him only, and so on.
Some faults can be piled up for later. E.g. there are stains on walls that needs paint-job, system or the head of maintenance can put them in a bin. At one time, when the bin is full enough, all faults can be restored with one sweep over. Of course, the crew that will perform paint-job, has all the location on the map so they wont miss even single one. If walls are properly described within asset management module, the crew will also know which colour to bring, how tall must be the latter, and so on. They can automatically get instructions about how to behave at your company, where to check in, when to come, what are the security measurements, who to report to, where to park, etc.
Doing maintenance with GreenTwin is effective, accurate, traceable, easier and cheaper for all parties.
Facility management
Creates a cleaning plan by hour and by room so that the cleaning staff have direct and accurate plan of cleaning. It is also very useful for checking the quality of cleaning via tablet or PC. Increases production as it reduces staff handover time, all task completed are written and accessible, only the name of worker is changed. By installing some IoT’s, application will automatically create and send work orders in case of faulty light bulbs, water/tap leakage, anomalies in power circuits, bad batteries of fork-lifters and UPS, tyre wear-out or periodic service of vehicles, low ink of copy machine and printers, etc. Automatic creation of work orders for gardening, (with our algorithms and some IoT’s we can calculate when the grass is ready to be cut and will order a mowing on non-rainy day).
Predictiv maintenance
Install our predictive maintenance sensors that will let you know in advance when a certain part of machine will fail. That way your maintenance team, outsourced or your company’s, can order and get spare parts and organize repair to avoid production stall.
Sensor measures sound and vibration starting from 0.1 MHz and detects any unusual sound or movement of rotating parts, CNC machines, compressors, pumps, electric-motors, diesel engines, or any other moving part. With the machine learning, through time, system will be able to pinpoint exact fault and calculate time before breakdown, cost and repair time.
Preventive maintenance
By connecting clients, machines and devices – the product/application will automatically create work orders based on machine’s working hours or other parameters to prevent machine failure and to exclude human factor.
Apart from buildings, machines also have a digital service book to calculate maintenance cost per product and to plan Investments when maintenance cost start to get too high compared to a new asset. Another useful application is in fleet management (car, truck, bus) where service must be done based on kilometers driven (engine, tires) or based on running hours or both. Combined with a driver data, you will know driver habits, l/km, etc.