Our client, a renowned manufacturing company, wasnâ€™t able to optimize their CNC Machines' uptime. Instead of breaking even the cost per equipment in 10 years (Industry Standard), they were achieving it in 20 years. Biz4Intellia configured the Intellia IoT Energy Monitoring Solution for equipment uptime monitoring which gave our client a clear insight into the running hours of the CNC machines. According to the client, now they are able to have a real-time overview of every shift which gives them a precise impression of how they are utilizing their planned production time.
The Manufacturer had 10 machines in his factory which were working in two shifts during business days. Summing up to approximately 5200 work shift a year. On an average, all of the machines were having 30 minutes of unplanned downtime per machine every work shift. Which equals to 325 lost work shift per year. And the worst part was, the downtime was unnoticed due to lack of machine uptime/downtime data.
Intellia IoT Energy Monitoring Solution configured for equipment uptime monitoring allows organizations to know the machine running time and current state. Intellia IoT collects the electrical current data from CT sensors. The CT sensors are mounted on the machines and senses the real-time current flowing into the machines.
The end users get the relevant information on Intellia IoT dashboard, which they can access via Smartphone/Tablet/PC. The sensors sense the electric current going to a machine. The state of machinery is determined according to the electric current status in real-time.
The main panel of the dashboard contains plenty of information related to all the devices (equipment). The user can see geolocation all of the devices on the map. The data obtained from the energy sensor is used to produce trend analysis for daily, weekly, monthly, and annual energy consumption forecasts against production.
The graph contains the electric current data of a machine. Analyzing the graph, user can know when and for how long a machine was active/idle. The user can also add annotation (Comments) to any point of time on the graph. The machine state is identified by setting a threshold on the sensor readings. The users can easily change the threshold within the Intellia IoT application. For example, if the threshold is set for current reading at â€˜42â€™, the machine state will be considered â€˜Onâ€™ if the current data is on or above â€˜42â€™ and â€˜Offâ€™ if otherwise. The product is capable to handle noise in the sensor data as well.
The INT-WEMX01 energy monitoring sensor is a RoHS, ISO9000, ISO14000 certified wireless CT sensor which perfectly fits an energy monitoring IoT solution.
|Product Name||Wireless Energy Monitor|
|Model No||INT- WEMX01|
|Range||30 meter to 100 meter|
|Transmission rate||1s~30s Power supplyh: AC 110V~250V|
The insights into the unplanned downtimes empowered our client to:
Biz4Intellia is an End-to-End IoT (Internet of Things) Solution Provider, catering to the remote monitoring need of multiple industry verticals including Water, Transportation & Logistics, Agriculture, and Oil & Gas.
Here is why Biz4Intellia is a perfect pick for IoT requirements: