Showing posts with label IoT Data Analytics. Show all posts
Showing posts with label IoT Data Analytics. Show all posts

Thursday, February 21, 2019

Security, the Most Important Factor in the Internet of Things

The internet of things offers a wealth of probability for the telecoms trade. It gives the mobile operators a wonderful chance to develop and enhance the consumer offerings and increase market growth. We’ve already seen the likes of Vodafone withdrew into the customer side of IoT with the launch of its new “V by Vodafone” bundle, whereby shoppers are charged for the number of connected devices they boost their monthly setup. However, alongside this raft of success and varying probabilities, comes the heightened risk of security breaches.
IoT solutions for manufacturing
IoT solutions for manufacturing

Operators have to be sensible with their investment once it involves IoT Data Analytics and IoT itself. It’s all well and smart chasing new sales leads and initiatives and reaping the rewards, however, security should be high, if not at the best, of their agenda. With the accrued range of devices accessing the core network, operators have to be guaranteed they established for the more severe and have bar measures in place for possible hijackers. The repercussions of such a breach can have serious consequences for each the operator and user, as any device hijack is a possible entry point to the network for an attack.

Security attacks can come in all fully different shapes and sizes. One of the additional common breaches is the “man-in-the-middle” plan, whereby a hacker is wanting to interrupt and breach communications between two separate systems. This attack can have severe consequences as a result of the hacker on the Q.T. intercepts and sends messages between two parties once they're under the idea that they’re communicating directly with each other. Following this, the hacker can trick the recipient into thinking they're still getting a legitimate message. These attacks can leave the networks, and end-users, during a position of utmost vulnerability with regards to IoT, due to the character of the devices being hacked. As an example, these devices are something from industrial tools, machinery or transportation to innocuous connected “things” like smart TVs or connected fridges.

We all understand that the IoT solutions for manufacturing equip the wealth of business and marketing possibilities for operators. However, to verify it’s not a brief fad, security should be taken seriously. Attacks on the networks can have detrimental impacts on each the operators, who can have their name diminished in seconds if vulnerabilities are publicized, and end-users, whose devices, and then livelihoods, are at risk. Now is the time for the business to place down the foundations and understand the tools and protocols needed to secure the long-term.

Thursday, November 22, 2018

The technologies contributing to Industry 4.0

Industry 4.0 is the new digital technology used for the industrial purpose. It is used to collect and analyze the data across several kinds of machines that are used for improvements in the manufacturing process of several kinds of goods for the targeted customers. For the manufacturers, it is always a big requirement to collect and analyze several kinds of data to target the right customers and to make the manufacturing and production process more efficient, faster and flexible. It is also very beneficial to reduce the cost of manufacturing for the companies.
Industry 4.0
Industry 4.0
Here, we will know about some of the useful technologies contributing to industry 4.0. Take a look at all these technologies below:

Big data and analytics:
Big data is the collection of several kinds of data collected from the digital and traditional sources.at present time, the data is collected by the companies from several devices and systems and it is very effective and useful solution to know about the exact requirements of the customers found the companies can use and analyze the data to manufacture the right product as per the customer needs in the market.

Internet of things:
Internet of things is the revolutionary concept where all kinds of devices will be connected to the internet. This technology will be used for smart homes as well as smart factories for residential and industrial purpose. It will be much easier to control several appliances and machines from anywhere with good connectivity font

Autonomous robots:
In the upcoming few years, the robots will be able to interact with as well as with one another in a safe way. With the artificial intelligence technology, it will be possible that the robots will learn things itself and will work in the manufacturing industry with the great capabilities to make the manufacturing work much faster and to reduce the cost of manufacturing.

Cloud computing:
It is also one of the useful technology is contributing to industry 4.0. Cloud Computing is a very effective way to store several kinds of data and access it from anywhere. All kinds of data will be completely safe at the online cloud storage devices that will definitely enhance the functionality for the industries.

There are several other technologies that are contributing to industry 4.0. With the use of all these technologies, it is possible for the manufacturers to make the manufacturing process much quicker and reliable by decreasing the manufacturing cost for the products.

Friday, October 26, 2018

Security is Paramount in the Internet of Things

The internet of things offers a wealth of chance for the telecoms industry. It presents mobile operators an opportunity to develop and enhance their client offerings and increase market growth. We’ve already seen the likes of Vodafone delve into the buyer aspect of IoT with the launch of its new “V by Vodafone” bundle, whereby shoppers are charged for the number of connected devices they add to their monthly set up. However, together with this raft of success and varied chances, comes the heightened risk of security breaches.

Operators need to be good with their investment once it involves IoT. It’s all well and sensible chasing new sales leads and initiatives and reaping the rewards, however, security must be high, if not at the highest, of their agenda. With the increased range of devices accessing the core network, operators need to guarantee they set up for the more severe and have prevention measures in place for attainable hijackers. The repercussions of such a breach will have serious consequences for both the operator and user, as any device hijack is a possible entry point to the network for an attack.
Security attacks will come in all completely different shapes and sizes. One of the more common breaches is the “man-in-the-middle” idea, whereby a hacker is looking to interrupt and breach communications between 2 separate systems. This attack will have severe consequences because the hacker in secret intercepts and sends messages between 2 parties after they are under the assumption that they're communicating directly with one another. Following this, the hacker will trick the recipient into thinking they are still obtaining a legitimate message. These attacks will leave the networks, and end-users, in a position of utmost vulnerability with regards to IoT, due to the nature of the devices being hacked. For instance, these devices are anything from industrial tools, machinery or transportation to innocuous connected “things” like smart TVs or connected fridges.


We all know that the IoT equips the wealth of business and marketing chances for operators. However, to confirm it’s not a temporary fad, security should be taken seriously. Attacks on the networks will have detrimental impacts on both the operators, who will have their name diminished in seconds if vulnerabilities are advertised, and end-users, whose devices, and so livelihoods, are in danger. Now is the time for the business to put down the foundations and realize the tools and protocols required to secure the long run.

Wednesday, October 17, 2018

Various Ways to Take Live Signals from Machine for OEE Monitoring

Manufacturing Intelligence
Manufacturing Intelligence
Monitoring allows store personnel to check the status of a machine and appearance for ways to extend uptime.

For any machine shop, one of the most important challenges is knowing what's happening on the work so that activities will be measured, controlled and improved. Machine-controlled monitoring systems, like those, supported the MTconnect standard; make it possible to gather data that provide managers, engineers, and operators real-time information concerning shopfloor activities to assist them to make faster and better decisions.

AceMicromatic Manufacturing Intelligence Technologies Pvt. Ltd. is India’s first mover and market leader within the manufacturing intelligence area recommends that clients follow these 4 major steps to implementing basic yet expandable shopfloor monitoring.

1. Set objectives: The initial objective of observation is to get a handle on current performance. A typical metric is overall equipment effectiveness (OEE), derived by multiplying machine handiness, performance, and quality, where every one of these factors represents a proportion of a perfect total or optimal level. Handiness has generally been the toughest issue to determine. However, it's the one issue that an automatic monitoring system can be especially good at providing.

2. Review it infrastructure capabilities and establish system requirements: A review of its infrastructure looks at providing LAN connections to every piece of equipment, checking the server requirements necessary to run system computer code parts, and crucial if an area or cloud-based installation is needed. For this reason, bringing your it manager into the discussion before you start shopping for a system is highly counseled

3. Create an information collection plan should have 2 parts: Determining what data things support the required metrics (especially those associated with equipment stoppages) and determining how those data items will be created available. This needs a technical understanding of the way to get the specified information from every asset and includes assessing the prices and risks of upgrading equipment to get that data. Success here depends on input from production managers, maintenance managers (who know the equipment) and its managers. Close engagement with your chosen monitoring system provider is additionally essential.

4. Develop training and dashboard criteria: Training at all levels should focus the maximum amount on the way to benefit from a monitoring system as on how to use or move with the system. Observation can and should profit everybody; however, the gains should be shared and understood by all. For instance, wall-mounted information displays often include dashboards because, just like the gages in a car, they summarize the trends and show how positive actions move the needles in the right direction. Everybody should perceive their importance and role in achieving performance objectives.

Monday, September 17, 2018

Role of IoT data Analytics in Chemical Industry

Although, there are many chemical industries in the world not everyone is known for the IoT term. Some people don’t have any idea of the Internet of Things but it plays an important role in the betterment of your industry. It is used to monitor and analyze the performance of machinery and this information system is made from sensors which are linked to the physical objects with the help of Internet Technology. Let’s check out how IoT Solutions for Chemical Industry can bring a change.

How can IoT bring change in the chemical industry?
Sensors which are attached to the equipment can be useful for monitoring the quality of the equipment and it would help in the prevention of unplanned downtime. Maintenance can be improved with the help of Data analytics. For the prediction of failures, energy consumption patterns are quite important. The chemical plants may be the targets of terrorist attacks and that’s why the system security of the industries is quite important. When the data of the companies keep growing, then the problem arises and that’s why IoT plays a huge role in the Chemical industry.

Know about Data analytics use in IoT
IoT Data analytics is useful in the examination of data sets with varying properties and these conclusions are helpful in making effective decisions. In the growth of IoT, data analytics play an important role and effective use of datasets is enabled with the help of analytic tools.

Improved Revenue
Data analytics in IoT helps the business unit to know about the preference and requirements of the customers. Obviously, this is going to help in the betterment of services and products according to the demand of customers. When the customers would be satisfied with the services, then automatically revenue would be generated. There is always a difference in the data formats and the data analytics would help in the analyzation of different sets of data with the help of automatic software and tools.

Types of Data Analytics
There are different types of data analytics which can be used in IoT and one of them is Streaming analytics which analyzes large in-motion data sets. For the detection of urgent situations, this method is used. For the analyzation of geographic patterns, Spatial analytics is used while for revealing associated patterns and trends, Time series analytics is applied. In order to understand the best action steps in a certain situation, the prescriptive analysis is used. 

Friday, July 27, 2018

How TPM-Trak solutions enable accurate reporting of shop floor productivity information using effective dashboards.

With the advancement of modern technology, most companies are automating their processes to get more precision and accuracy in their work. The manufacturing companies should also take advantage of the IoT Data Analytics to improve their overall working in the industry. With the TPM-Trak, you can easily do a real-time Shop Floor Data Collection in order to enhance the overall efficiency and productivity of your business. It will also ensure that you get high margin and profit.
IoT Data Analytics
IoT Data Analytics

With TPM Track Solutions, you will have a real-time processed data that you can use to set parameters, check for discrepancies and catch the problems in real-time rather than later. With some action-oriented analytics, you can get new insights and then work towards increasing the productivity and efficiency.

Let’s check out how it works:

The TPM-Trak functions as a storage house for all the data. So, the production data, the process parameters, machine diagnostics, financial data and the benchmark data goes to the TPM-Trak. Here, the real-time data is recorded and also processed. After processing the data, you get the actionable analytics that can be used for various purposes to enhance the efficiency of your business. You also get regular alerts and management feeds about the data that is collected. So, if you see any discrepancies or problems, you can take swift action. It will save you a lot of time, energy, and resources at a later stage. It also gives you access to a dashboard that makes it easy for you to track the entire process. In short, it is a perfect way to inculcate the IoT Data Analytics in your company.

Some advantages of using TPM Track Solutions, are listed below:

  • Have deep knowledge in this domain 
  • Provide an all-round solution
  • Increase the scope for improvement and efficiency in your company
  • Keep making continuous improvements in their products and services 
  • Committed to providing you the best products and service guarantee
  • Highly credible
  • High industry reach of the sales team and founders
  • Domestic as well as international dealings 
  • Strive for continuous innovations 

To sum up, TPM Track Solutions can provide you with the right kind of tools to help your company grow. With real-time analytics and actionable data, you can be at par if not ahead of your competitors. So try their services today!