IOT asset tracking - 3G, plant, warehouses, fleet, gensets

People tracking in industrial zones

March 14, 2019ripplesiotIOT asset tracking, IOT in construction, IOT use cases

Workforce safety, & asset tracking

Ready to deploy solutions
Can be deployed inside safety helmets to track workforce
Enables monitoring of staff based on seniority
Range of up to 500 meters – suffiencent to cover most construction sites
Up to 20 year batter life. Zero maintenance
Small in size and lightweight
Data visualisation tools for site supervisor to monitor activities
Rugged Dell Edge gateway device for data collection

Our Internet Of Things (IOT) enabled people tracking solution, comprising of miniature BLE sensors, gateway, device management framework and dashboard software provide new insights on movement of physical objects within premises such as construction sites, shipyards, factories, warehouses, hospitals etc.

Our solutions mainly apply where long term projects are involved; like shipyard, construction of commercial spaces, tunnels, public utility buildings etc. The measurement helps in improving workplace safety, reducing operational bottlenecks, improve accountability and visibility.

People Tracking Solution helps in:

Data analytics to understand potential choke points during peak hours
Knowledge about worker movement to improve utilisation of facilities
Control and audit movement, theft and misuse of high value equipment
Monitoring the movement of objects between floors & locations
Understanding the working environment of temperature controlled areas

Asset tracking in shipyards, factories & warehouses

Alerts on machinery, trucks, cranes, forklifts entering or leaving the work site
Ensuring the availability of critical spares and their location
Keeping track of important files on confidential contracts and purchases

Without proper tracking methodologies, one cannot measure the loss of productivity, violation of safety norms and prevent unwarranted situations. Like when a business operation is unable to locate machinery or a critical spare inventory quickly or location of key people such as engineers, supervisors etc. in large work sites.

Lack of clarity in understanding the workflow resulting in long queues and frustration leading to inferior workflow process and operational efficiency. This can lead to lower satisfaction, increased costs, safety risk in industries and loss of revenue.

The same could be told about visitors – suppliers, consultants and other people entering high security areas such as warehouses, shipyard, bank locker rooms etc. Can also be extended to physical objects such as laptops, circuit boards in an equipment, industrial transformers etc.

Call us to know more about IOT people tracking in large projects – shipyards, commercial building, public utility, metro rail, tunnels etc. You can opt for a feasibility study on workforce tracking

Meet us at IOT Asia 2019 to know more about asset / people tracking BLE sensor solutions

Factory equipment utilisation

January 4, 2019ripplesiotData visualisation, IOT asset tracking, IOT in factories, IOT in manufacturing

IOT for activity based costing

How Condition Monitoring solutions can lead to a higher ROI

Activity Based Costing is widely used in the manufacturing industry. However, it comes with its fair share of criticism because it is difficult to correctly estimate the amount of resources required to perform a task efficiently.

Two of the key performance indicators (KPI) in the manufacturing industry are MTBF (Mean Time Between Failures) and MTTR (Mean Time To Repair). MTBF is a performance metric that measures the time elapsed between when a failure occurs and the next time it happens. MTTR is the time spent to conduct repairs once a failure occurs. Both these KPI’s are calculated by dividing the total time taken respectively by the number of failures. While these are good indicators of performance, they are flawed. Failures cannot be foreseen as they are not uniform and can occur at any point of time. In the case of repairs, it may take longer for some than others. That is why these metrics lack real-life accuracy.

Industrial automation & equipment utilisation

Using condition monitoring solutions, it is possible to successfully obtain operational information from machines which are variable in nature. The actual operational times of the machines can be analysed and resources can be allocated accurately. Maintenance can be scheduled based on the number of hours used. This eliminates the need to estimate KPIs like Mean Time Between Failures and Mean Time To Repair by providing us actual figures of usage. No excess resources will need to be allocated . This will in turn improve operational efficiency and ultimately lead to a higher Return on Investment (ROI).

IOT solutions can help to improve the audit and scheduling of pro active maintenance schedules by gathering operational data such as hours used, operating environment, power consumed and abnormal handling of equipment by users. Helps to ascertain Mean Time Between Failures (MTBF) and Mean time Between Repairs (MTBR)

Most of factories and warehouses employ technical staff to conduct periodic check and repairs to ensure the asset equipment are up and running all the time. Unexpected breakdowns can lead to loss in revenue, opportunity costs, unsatisfied customer etc. Using our IOT in maintenance solutions, your own technicians will be able to remotely monitor the fixed assets to help prevent breakdowns.

IOT industrial automation & maintenance

Implementing a retrofit IOT solution with non invasive sensors and integrating data visualisation tools can help businesses to improve equipment uptime, track and trace of critical plant and machinery in factories, shipyards, airports, supply chain environment, warehouses etc, which otherwise takes many man hours of unproductive work.

Anomaly detection solutions for industrial automation can help businesses improve the operational excellence by pro active maintenance, optimising spares inventory and reducing energy consumption of various heavy industry equipment.

Call us at the following numbers to more on how IOT industrial automation sensors and IOT in maintenance management using anomaly detection solutions can help improve asset efficiency and reduce breakdowns.

Industry 4.0 & asset visibility

December 12, 2018ripplesiotIndustry 4.0, IOT asset tracking

Asset monitoring solutions are driving Industry 4.0 revolution

Asset monitoring solutions in IIoT involves attaching or embedding IoT-enabled devices (i.e. sensors, RFID tags etc.) to machinery or other pieces of industrial equipment to make them “intelligent”.

These intelligent devices can then be connected to back-end systems, applications or cloud services via wireless connectivity in a mesh or star network. This makes it possible to continuously collect and analyze data generated to actively monitor pre-determined asset-specific information.

This enables users to continuously monitor conditions related to high value asset:

Quality
Performance
Damage of breakdown
Other environmental conditions

It provides asset monitoring solutions to users by allowing them to collect and analyze IoT data regarding pre-determined conditions.

Manufacturers can implement predictive maintenance based on equipment condition analysis and performance trends.

Predictive maintenance will help companies save $630 billion by 2025 by:

Reducing unplanned equipment downtime, which can cost upto $260K per hour
Cut the number of unnecessary maintenance tasks associated with a schedule – based process
Minimise levels of wasteful production associated with sub-optimal operation
Providing access to new, actionable insights uncovered using advanced IoT data analytics

30% of manufacturers have already implemented IoT technologies for predictive maintenance and analytics while another 30% are interested in joining this new chapter of modern manufacturing, the 4th Industrial Revolution.

Are you ready ? Talk to our experts in Singapore and learn how to deploy asset monitoring solutions in your manufacturing unit and leapfrog to adopt Industry 4.0 practices.