Namely, we will be discussing the following content:<\/p>\n\n\n\n
- Overview of Industrial IoT & Its Components<\/li>
- Benefits of Industrial IoT<\/li>
- Industrial IoT in Manufacturing<\/li>
- Industrial IoT in Agriculture<\/li>
- Industrial IoT in Transport & Logistics<\/li>
- More Industrial IoT Applications & Examples<\/li><\/ul>\n\n\n\n<\/div>\n\n\n\n
<\/figure><\/div>\n\n\n\n
<\/div>\n\n\n\nAn Overview of Industrial IoT<\/strong><\/h2>\n\n\n\n
<\/div>\n\n\n\nIndustrial IoT is the application of IoT in the context of transforming industrial processes such as manufacturing, agriculture, logistics etc.<\/p>\n\n\n\n
<\/div>\n\n\n\nIndustrial vs Consumer IoT, Source: Vector Software<\/figcaption><\/figure><\/div>\n\n\n\n In a technical sense, Industrial IoT does not differ greatly from other IoT, and shares similar key objectives in automation and optimisation. Hence, it is inevitable to see overlapping technologies between them. Nonetheless, Industrial IoT stands out as one of the largest growing markets, with the global IIoT market predicted to reach an astounding value of $123 billion in 2021.<\/p>\n\n\n\n
WIth widespread implementation of interconnected sensors, instruments and computing devices, Industrial IoT enables large scale data collection, which can be exchanged and analysed autonomously. This allows for businesses to make informed decisions on a scale and pace much greater than was ever possible before, delivering rapid improvements to productivity, efficiency, and even safety.<\/p>\n\n\n\n
<\/div>\n\n\n\nBig Data Analytics in Industrial IoT<\/strong><\/h3>\n\n\n\n
<\/div>\n\n\n\nEmbedded IoT devices collect data at an incredible pace, generating terabytes of data per device per day. In addition, we\u2019re expecting the number of IoT connected devices to double up to nearly 40 billion by 2025. All the data collected can be visualised on a centralised dashboard, drastically reducing the manpower requirements for monitoring. Most notably, this additionally opens up possibilities of big data analytics with statistics and even machine learning.<\/p>\n\n\n\n
<\/div>\n\n\n\nEdge Computing in Industrial IoT<\/strong><\/h3>\n\n\n\n
<\/div>\n\n\n\nWithin Industrial IoT, edge computing is also becoming more popular. Edge computing aims to decentralise computing resources away from data centres, so that computing occurs directly on the edge. This delivers advantages such as reduced response latency, as the local computer can administer an immediate reaction without waiting for a response from the cloud.<\/p>\n\n\n\n
Edge computing also reduces the cost of industrial IoT, since reducing the amount of data that must be centrally managed reduces the amount of computational resources consumed. Most edge computing devices will perform preliminary computations directly on the device, sending an alert to the cloud only if local anomalies are detected and require external intervention.<\/p>\n\n\n\n
<\/div>\n\n\n\nWhat benefits does Industrial IOT bring?<\/h2>\n\n\n\n
<\/div>\n\n\n\nIndustrial IoT is merely a subset of modern technologies that are used to improve business processes. In other words, the use of Industrial IoT is effectively limited only by the problems that we need it to solve. Nonetheless, here are some of the primary use cases of Industrial IoT that have led to its widespread adoption around the world.<\/p>\n\n\n\n
<\/div>\n\n\n\n1. Improved Operational Efficiency<\/h3>\n\n\n\n
<\/div>\n\n\n\nIndustrial IoT brings greater integration between processes, allowing for more frequent, clearer communication channels. This brings about reduced lag-time for seamless and more efficient production chains. Automated processes with IIoT-enabled machine to machine communication also reduces the need for operator intervention, allowing engineers to instead focus on optimisations and improvements.<\/p>\n\n\n\n
<\/div>\n\n\n\n2. Faster Improvement Cycles<\/h3>\n\n\n\n
<\/div>\n\n\n\nReal-time and historical data from edge IIoT devices allows process supervisors to respond to operational demands, such as promptly dealing with supply bottlenecks or under-utilised resources. Data also allows businesses to make informed decisions about future development plans, further accelerating process or product improvement cycles.<\/p>\n\n\n\n
<\/div>\n\n\n\n3. Reduced Operational Down Time<\/h3>\n\n\n\n
<\/div>\n\n\n\nThe same data from Industrial IoT devices is also heavily used for monitoring the conditions and performance of vehicles and industrial equipment. In this manner, maintenance can occur predictively and in a timely manner, which reduces operational down time while avoiding collateral damage associated with complete component failures.<\/p>\n\n\n\n
<\/div>\n\n\n\n4. Enhanced Industrial Safety<\/h3>\n\n\n\n
<\/div>\n\n\n\nWorkplace safety is another key area that Industrial IOT strives to improve. By using automated intercommunication and fail safe sensors, we can ensure that high risk tasks are followed according to procedure, or are automatically aborted if a risk of human injury is detected. Dangerous processes are also quickly being automated to remove the need for operator intervention (and thus human error) as well.<\/p>\n\n\n\n
<\/div>\n\n\n\n
\n\n\n\n<\/div>\n\n\n\nIndustrial IoT in Manufacturing<\/strong><\/h2>\n\n\n\n
<\/div>\n\n\n\nManufacturing is the largest industry from an IoT spending perspective, bringing transformations to manufacturing operations, production asset management & maintenance, as well as field services. Apart from allowing the performance of manufacturing operations to be monitored efficiently, industrial IIoT in manufacturing can also be used to deliver services remotely and autonomously.<\/p>\n\n\n\n
<\/div>\n\n\n\nOdyssey x86J4105 in Field Service Manufacturing IIoT<\/strong><\/h3>\n\n\n\n
<\/div>\n\n\n\nODYSSEY x86J4105<\/figcaption><\/figure><\/div>\n\n\n\n At Seeed, we have helped our client build their smart juice machine based on the ODYSSEY X86J4105<\/a>. The ODYSSEY is a powerful single board computer (SBC) with rich communication interfaces, which makes it an ideal candidate for edge computing in many applications.<\/p>\n\n\n\n
<\/div>\n\n\n\nSmart Autonomous Juice Machine, Source: Coconuts Hong Kong<\/figcaption><\/figure><\/div>\n\n\n\n The smart vending machine will automatically make freshly squeezed juice for the customer upon order, and is a fine example of field manufacturing enabled by industrial IoT. The machine possesses its own computing core to control the user interfaces and manufacturing actuators, which is also connected to the cloud for easy monitoring and maintenance.<\/p>\n\n\n\n
<\/div>\n\n\n\n![\"\"](\"https:\/\/blog.seeedstudio.com\/wp-content\/uploads\/2021\/02\/Picture-1-2-1030x566.png\")
Autonomous Juice Machine with ODYSSEY x86<\/figcaption><\/figure><\/div>\n\n\n\n <\/div>\n\n\n\nIndustrial IoT in Agriculture<\/strong><\/h2>\n\n\n\n
<\/div>\n\n\n\nUnsurprisingly, agriculture is another industry that is transforming rapidly with Industrial IoT development. Farming has always been at the forefront of scientific innovation – evolving from the handheld tools used centuries ago to farming machinery like tractors and bale harvesters and even genetically modified organisms.<\/p>\n\n\n\n
<\/div>\n\n\n\nSource: Betagro Group<\/figcaption><\/figure><\/div>\n\n\n\n What you may not know is that the optimisation agricultural production requires the careful monitoring and control of numerous environmental conditions, such as temperature, light levels, atmospheric composition, water usage, etc. In view of this, Industrial IoT offers the perfect solution for managing the required complex real-time data.<\/p>\n\n\n\n
<\/div>\n\n\n\nBeagleBone\u00ae Green in Agricultural IIoT<\/strong><\/h3>\n\n\n\n
<\/div>\n\n\n\nSeeed has had the privilege of implementing an Industrial IoT electronic controller for our customer\u2019s Poultry Industry and Farm with the BeagleBone\u00ae Green<\/a>. BeagleBone\u00ae Green is a collaborative effort between BeagleBoard.org and Seeed, based on the open-source design of BeagleBone Black. It sports two Grove connectors for easily deploying with sensor modules and ethernet internet connectivity.<\/p>\n\n\n\n
BeagleBone\u00ae Green<\/figcaption><\/figure><\/div>\n\n\n\n The solution provides interconnectivity between agricultural systems and the cloud, allowing for real time remote monitoring of data. With more dense and precise measurements of environmental conditions, farming techniques and conditions can also be gradually optimised over time to improve productivity.<\/p>\n\n\n\n
<\/div>\n\n\n\n![\"\"](\"https:\/\/blog.seeedstudio.com\/wp-content\/uploads\/2021\/02\/Picture-1-1030x644.png\")
Agricultural Electronic Controller with BeagleBone\u00ae Green<\/figcaption><\/figure><\/div>\n\n\n\n <\/div>\n\n\n\nIndustrial IoT in Logistics & Transport<\/strong><\/h2>\n\n\n\n
<\/div>\n\n\n\nIn logistics and transport, Industrial IoT is commonly applied to fleet management and real time monitoring of logistics.<\/p>\n\n\n\n
Fleet management involves the monitoring of vehicle movement and driver\u2019s behaviour, and enables numerous smart functions such as automatic scheduling of transport movement with optimised routes and alerts for preventative maintenance. This improves safety by reducing the time spent on roads and flagging dangerous road behaviour, while saving fuel and repair costs.<\/p>\n\n\n\n
On the other hand, sensors fitted onto vehicles can monitor the environmental conditions for transporting high value items such as fresh produce. By maintaining certain temperature, humidity, and pressure conditions, the condition of agricultural produce post transport can be drastically improved, better retaining their value and reducing manufacturer costs.<\/p>\n\n\n\n
<\/div>\n\n\n\nSource: Zipline Logistics<\/figcaption><\/figure><\/div>\n\n\n\n <\/div>\n\n\n\nLogistics IIoT Monitoring with BeagleBone\u00ae Green<\/strong><\/h3>\n\n\n\n
<\/div>\n\n\n\nIn fact, this was exactly what we implemented for one of our customers here at Seeed. By customising BeagleBone\u00ae Green to add power over ethernet (PoE) functionality and more I\/O interfaces, we built a custom IIoT solution for collecting temperature and humidity data during fresh produce transport for quality tracking.<\/p>\n\n\n\n
<\/div>\n\n\n\n![\"\"](\"https:\/\/blog.seeedstudio.com\/wp-content\/uploads\/2021\/02\/Picture-1-1-1030x632.png\")
Fresh Produce Transport Monitoring with BeagleBone\u00ae Green<\/figcaption><\/figure><\/div>\n\n\n\n <\/div>\n\n\n\nThe data is uploaded to the cloud for monitoring and analysis, and can identify gaps in transport procedures. In all, this application of industrial IoT in logistics prevents unnecessary costs and increases overall efficiency in product distribution.<\/p>\n\n\n\n
<\/div>\n\n\n\nSummary<\/strong><\/h2>\n\n\n\n
<\/div>\n\n\n\nI hope you\u2019ve enjoyed our introduction to the industrial Internet of Things. While Industrial IoT, like all other IoT, continues to be centered around data collection, monitoring and analytics, the methods through which they are implemented continue to evolve and surprise us.<\/p>\n\n\n\n
<\/div>\n\n\n\nRead more about how we contribute to Industrial IoT at Seeed:<\/p>\n\n\n\n
- Smart Poultry Farming | Wireless IoT Solution at Kinghoo with SenseCAP LoRaWAN Products<\/a><\/li>
- Seeed Partners with OPEN in the Global IoT Education Initiative to Promote Global Sustainable Agriculture<\/a><\/li>
- Customized Seeed Studio Beaglebone boards in Industrial Applications and Projects!<\/a><\/li>
- A Recap of Seeed IIoT Journey in 2020<\/a><\/li><\/ul>\n\n\n\n
<\/div>\n\n\n\nAlso, be sure to visit the following articles to learn more about the SBCs behind the Industrial Internet of Things!<\/p>\n\n\n\n
- Best Single Board Computers of 2020<\/a><\/li>
- Raspberry Pi Alternatives in 2021!<\/a><\/li>
- Resource Roundup for ODYSSEY \u2013 X86J4105<\/a><\/li><\/ul>\n\n\n\n
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