Beacons in Industry and the 4th Industrial Revolution (4IR)
There's much talk about IoT and industry/manufacturing using the latest technologies to create a so called '4th Industrial Revolution'. However, through our work with organisations, we know that most people don't know where to start and many don't have the necessary technical skills. You might also have 'legacy management' that are adverse to change. We can help you fill the hype-implementation gap, persuade stakeholders and provide the necessary knowledge and skills.
This Industrial Revolution is driven by data. Most organisations have significant investment in legacy hardware, software and processes that can't be replaced overnight. Start small by attaching sensors to existing equipment. This will give you information to make efficient use of equipment, provide automated auditing, monitor things such as temperature, humidity, light level, open/closed state, movement, vibration and collisions as well as improve workflows. You will be able to locate valuable plant tools in manufacturing and construction, track parts and sub-assemblies, improve safety and enable efficient asset allocation. These improvements will improve operational efficiency, reduce costs and let you see what's happening in real time.
Having proven your ideas to other stakeholders through gains in efficiency, reduced cost and increased competitiveness you will be able to propose more far-reaching changes.
The resultant sensing and real-time 'big data' allow processes to be automated, for example, providing workers with up-to-date instructions or replacing the workstations entirely to better automate manufacturing facilities. Sensing enables diagnostics, monitoring and prognostics. Prognostics is the advance indication of when things, such as failure, are likely to happen.
Improvements such as the previously mentioned prognostics require very complex software to analyse hidden patterns in the data. It's difficult, if not impossible, for humans to design such software using the traditional ways of creating rules and algorithms. Instead, we use AI machine learning to learn from the data to create neural network models. These models can then be used on servers, in applications or in mobile apps to provide for seemingly super-human forecasting, detection and classification functionality.
In summary, you don't need a 'big bang' approach to innovation in your organisation. You can start by measuring your existing processes. Start with simple key improvements that will raise your profile and prove worth to stakeholders. Then, move on to implement more ambitious improvements that will make your organisation part of the 4th Industrial Revolution.
Purchase sensor beacons and gateways to experiment with IoT sensing. Engage our consultancy to help you derive the right goals, analyse your existing data, determine required new data and assess feasibility. We then work with you in subsequent stages to collect, store, analyse, visualise data and create AI machine learning models from your data.