Intelligent asset tracking in universities

asset tracking solution in schools - IOT solutions, Kenya, Tanzania, Saudi Arabia, United Arab Emirates

Business schools, colleges, science universities and other education and research institutions are going digital in a big way and the number of high technology equipment being deployed across class rooms, science laboratories and conference rooms are growing day by day. This increases the need to have an asset tracking solution in schools.

Our technology for asset tracking in schools involve deployment of high autonomy and non invasive sensor devices with a range of up to 100 meters, fitted on assets such as laptops, LCD projectors, high performance monitors, Mac desktops, photo copiers, laser printers, scanners, audio visual  and like devices.

The asset tracking solutions would give information on the current location of the equipment using zones defined within the campus – thus allowing authorities to easily locate them and take inventory of the valuables. The tags can also be fitted on the doors to monitor security aspects such as time of opening, closing, off time entries etc.

The technology provides push and e.mail alerts when an equipment is moved from one location to another ; or when something is taken outside the campus for repairs or science exhibitions. The solution can be deployed across multiple blocks, locations and geographies and low bandwidth internet is sufficient to enable tracking solutions for schools.

The ready to use solution can be deployed on inhouse servers running Ubuntu or on IBM Bluemix cloud solution, with the capacity of handling over 10,000 equipment to be monitored on a 25 x 7 basis. The sensor devices are build by leading edge IOT solution providers in Nederlands and France, with full integration and deployment capability being developed in house by a team of experienced engineers.

Call us to know more about our solutions for asset tracking in schools. These are available across Gulf region, East Africa, Indian sub continent and Singapore.

Internet of things platform

The internet of things platform selection is key to success of any IOT project implementation.  There are proprietary and open source technology solutions available in the market place. There is no specific standard vendors are following ; but it is important to ensure that existing investments are protected while adopting internet of things.

  • Devices – connected to cloud. Non invasive and high autonomy sensors
  • Networking – Sending the data to the environment using standard protocols – Zigbee, Wifi, Bluetooth 4
  • Information management – Collating the data from various sensor devices on to a central location
  • Analytics – trends and patterns from the data being stored in the cloud
  • Strategy – How the company can leverage on the information generated

Thingworx is among leaders in the industry with ready to use components and rule base to allow integration or our use cases for healthcare, supply chain logistics for track & trace, asset efficiency and control. IBM bluemix offers cloud ready hosting and predictive analytics and alert mechanisms. Microsoft has the Azure IOT platform, used by companies worldwide. All of these solutions support open standards and open source database such as mongoDB, NoSQL etc.

Predictive analytics, machine learning, data factory, IOT foundry are offered my most. Security aspects on these platforms are well taken care of.

Call us to know more about our IOT solutions for supply chain logistics and healthcare industries.

Shared economy for internet of things

internet of things shared economy model Singapore

The icing on the cake for any internet of things (IOT platform) business model is its ability of share information among the eco system network of any organisation – what is known as the shared economy.

Shared economy, which refers to an emerging economic model of sharing of physical and non-physical resources that is empowered by technology, peer-to-peer and social networks. Sharing also covers renting, swapping, lending and gifting.

How does shared economy help internet of things

Information is shared among the eco system partners. Take the example of internet of things maintenance management where the data could be monetised among internal teams, suppliers, manufacturers & contractors of different equipment being used by the business.

  • Machine generated data is captured by IOT sensor devices
  • The data is stored on a central location – cloud platform
  • Data is converted to meaningful information using data and predictive analytics
  • Information – patterns are generated on usage, operating environment, location, failures, maintenance schedules
  • Sharing the information with the manufacturer will help in improved segmentation to build better products
  • Understanding of industrial customer behaviour
  • Pricing the products, renting and maintenance will be decided based on the information
  • Sharing of predictive analytics alerts with supplier / maintenance team would help reduce breakdowns

In the new world of hyper competition and the need to improve efficiencies, new ways of doing business alone can bring the best out of companies and the internet of things shared economy model is certainly the way forward.

Duleep Sahadevan – Founder, Director @RipplesIOT

How to reduce patient wait time

patient tracking devices for reducing patient wait time

A lot is being said about IOT, but do you know what it is exactly and how it works?. IOT works by sending huge amounts of data across multiple devices through the use of sensors and cloud computing. IOT is a combination of hardware and software, where devices are interconnected and uniquely identified on the internet. IOT integration is the embedding of sensors into devices, allowing them to send data over the internet for analysis. This is very useful in various Industrial IOT applications.

Devices such as GPS, Smart home appliances, security and automation appliances are few IOT applications. Healthcare units have also benefited with the use of IOT.

The internet of things has great potential as a tool for patient safety. The following are ways in which use of IOT improve patient care.

Housing numerous patients in a hospital can be expensive. With the emergence of remote monitoring systems using IOT, patients can move back to their home and still be under the observation of doctors and nurses.

With a large number of inpatients, hospital management can be tedious, making it vulnerable to errors. Using IOT in mobile devices and wearable technologies, help the doctors and clinical staff to access electronic medical records of patients, stored on these devices. Thus reducing the risk of wrong medication and also redundant manual documentation of medical records.

Specialized sensors can also be embedded within living spaces, to monitor the health of senior citizens and to ensure proper administration of treatment. Managing  drugs is one of the biggest challenges faced by the healthcare industry today. The use of IOT in the pharma chain helps keep track of, regulate, and maintain the drug packages.

Internet of Things ingrained in advanced devices make them capable of monitoring specialized implants such as pacemakers and also high resolution hearing aids.

Other consumer devices such as wearable heart monitors are recommended  to encourage patients to lead a healthy lifestyle, where the physician keep track of the medical progress simultaneously.

The Internet of Things is used to maintain health records. This ensures privacy and promises to safeguard the patient’s medical history and other records.

IoT is now being favored by patients and providers alike. With evolving technology, IoT implementations will most certainly improve the quality of healthcare.

Contact us for Ripples Industrial IOT applications, Solutions & remote asset monitoring solutions For more info, call us now at +91 928 720 1826

Node-RED programming

Node-RED is an open-source visual tool created by IBM for wiring together hardware devices, APIs and online services and build Internet of Things applications really fast.

The light-weight runtime is built on Node.js, taking full advantage of its event-driven, non-blocking model. This makes it ideal to run at the edge of the network on low-cost hardware as well as in the cloud.

Node-RED provides a browser-based flow editor that makes it easy to wire together flows using the wide range nodes in the palette.  Each Node offers a different functionality. Node-red comes with many built-in nodes for common functionalities like http request, http server, tcp server/client, delay, mqtt client, common database clients etc. We can add other libraries for specific functionalities or we can create our own nodes with node.js.

If application developer wants a specific logic that is not available in nodes, he can use function nodes to write his own function. We can deploy the flows to the run-time with a single-click. The flows are stored using JSON which can be easily imported and exported.

Node-RED in IOT platform

We have used Node-red on the cloud in our IOT platform application. This is the point where all the sensors communicate to. Considering node-red’s built-in support to create http endpoints, mqtt clients, this allows integrating various types of sensors into the application. Asset tracking solution using Node-RED application performs the following

– Convert sensor data form various devices into a common format
– Perform a DB/cache lookup Based on sensor ID, to enriched data
– Saved enriched data in a NoSQL DB Cloudant  or Mongo DB
– Determine if the sensor data has to create an alert – Rule engine
– Alert authorities by email if required
– Notify FAMS Drupal on asset status changes
– Aggregate daily data and pass to DASH DB
– Invoke Rscript in DASH DB to perform predictive analytics

To wire together this application, we have used http endpoint node, function node, Cloudant or MongoDB nodes, email node, DASH db node etc. We were able to concentrate on logic rather than having to worry too much about making connections to various services.

IOT database

IoT is about connected things – devices, vehicles, buildings, wearables etc. that can transfer data over internet. In our IOT platform itself, we use different kinds of sensors which measures temperature, humidity, movement etc. They are attached to various assets and send these data every minute to Ripples IOT platform. This data is stored and analyzed to make appropriate decisions. Considering the diversity, scale and velocity of IoT data we require very smart database technology.

Traditional SQL databases are powerful in their querying and analyzing capabilities but the rate at which data can be inserted into DB may not be enough for IoT scenario. NoSQL databases have very high ingest rate and usually does not require strict schema. But they too come with limitations in analytical processing. Sometimes, we require a combination of various database technologies  to arrive at a solution.

In our earlier IoT integrated solutions we had only used MySQL as the database. We used its analytical capabilities in the form of powerful queries, procedures etc to arrive at decisions, create reporting etc. But for RipplesIOT, we expect a huge number of connected objects, so we have used a combination of the following database technologies:

– Cloudant NoSQL database/Mongo DB
– MySQL database
– DASH DB(on bluemix cloud)

Cloudant NoSQL database and Mongo DB

In Ripples IOT platform, we process and enrich data from assets through node-red and store it as JSON in  Cloudant in case of cloud solution(on IBM buemix) or MongoDB in case of local solution.

Cloudant is a distributed NoSQL database as a service (DBaaS) built from the ground up to scale and run non-stop. We can accessed Cloudant via Apache couchDB based JSON Restful API. Along with basic functionalities of a document oriented database like – create, read, update and delete, Cloudant also supports real-time map reduce, Apache Lucene full-text search and Cloudant Query.

We have used Cloudant Query to retrieve recent data to show in asset efficiency tracking application dashboard. We have used real-time map-reduce to aggregate daily data.

MongoDB is a popular free and open-source cross-platform document-oriented database. Data is stored as binary JSON in Mongo. Mongo DB supports powerful ad-hoc queries, indexing etc and there are provisions for load balancing, replication etc. We have used its powerful querying capabilities for showing data in dashboard as well as for aggregation.

MySQL database

Our IOT platform is based on Drupal, which uses the free and open-source relational database management system  MySQL at its backend. MySQL is cross-platform, SQL based and easy to use. It supports ACID transactions(atomicity, consistency, isolation, durability), procedures, triggers, indexing, failover etc. In local IOT platform, apart from Drupal data, we also use MySQL to store aggregated IoT data from assets, and each asset’s current location, usage state etc.

DASH DB

In Bluemix based FAMS, we store aggregated data in DASH DB. DASH DB is IBM’s distributed cloud data warehouse. It supports inbuilt R analytics allowing us to use R scripts for analysis on data in storage. We store aggregated IoT data from assets in tables here. We call R scripts on this data and perform basic predictive analytics functions.

Industrial IOT for efficiency

WemakeIOT | IOT prototyping IndiaIOT consulting, India, Singapore, Netherlands

 

 

 

In today’s fast changing and competitive worked, companies need to build better products and affordable prices with high quality. Which at first thought would sounds a predicament, the advent and deployment of new generation technologies and data science practices have enabled companies build products to meet the changing expectations of customers. We see new products succeed in crowded segments and new segments being successfully discovered and priced through frugal engineering practices – be in Automobile or Airline or services.

Industrial IOT deployment

Internet of things (IOT) helps companies to deploy technologies to understand industrial customer behaviour and product usage patters better. This is achieved by deploying ready to use IOT sensors, IOT prototyping and publishing the data on an IOT platform. This is apart from the standard functions such as equipment and remote infrastructure monitoring.

IOT consulting services

We offer IOT consulting services for companies in manufacturing and services industries to improve utilisation, productivity and to bring new insights in product design and engineering. Our solutions range from designing the network, deployment of IOT devices, commissioning, data analytics and predictive analytics. We serve verticals such as healthcare, supply chain logistics, sustainable farming and smart cities.

Meet us at IOT solutions World congress 2016 Barcelona or call us to know more about our IOT consulting services.

 

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