Rotary encoders and Arduino combine for awesome universal remote

In his latest hack, “Matlek” has come up with an entirely new take on the universal remote, using a pair of rotary encoders instead of an array of buttons to output up to 400 individual signals.

One 20-step encoder in his remote selects the device to be controlled, while the other picks the function, like changing the volume or channel.

Pressing down on a built-in button on the action selection encoder executes a command, while if it’s held down for long enough, it can be programmed via an IR receiver. An Arduino is used to control the gadget because of its small size, and the project expands on several helpful concepts like SD card usage and IR signaling.

Of course, the remote has an IR receiver to “absorb” the IR signals of the remotes you want to “clone”, and an IR LED to send them. These protocols are saved on a microSD card, therefore you can switch OFF the remote (and the Arduino board), it keeps the information concerning the signals on the microSD card. There are also 2 rotary encoders with 20 positions each, and that is how you can have 400 buttons. Each rotary encoder is also a pushbutton. There is a LED to inform whether the universal remote is receiving or sending IR signals. This device works on a Lithium Ion battery (18650 cell), so it is portable. And finally, there is a switch, so you can switch it ON and OFF.

Want to create one of your own? You can find out Matlek’s entire tutorial here.

Arduino Blog

Senioradom and Sigfox combine to deploy IoT-driven telecare solution in China

The recent collaboration between Senioradom and Sigfox will see the deployment of IoT-driven telecare solution in 20 biggest cities of China for better protection of senior citizens.

Incorporated with multiple movement sensors, the telecare solution formulated by the IoT connectivity service provider Sigfox and telecare firm Senioradom has several features such as door opening detection and an alert and geo-localisation necklace. The solution is designed in such a way that it can automatically detect any potential behavioural anomalies arising due to a slip or fall, seizures or deteriorating mental health condition.

Signing the partnership agreement, Ludovic Le Moan, CEO of Sigfox, said: “I am honoured to sign this agreement today, as it is the product of many months of hard work, both by our teams and those of our partner Senioradom. We are grateful to the French authorities for their support, without which this agreement would not have been possible. This is a key milestone for Sigfox and its development in China, where the IoT industry has incredible untapped potential. This partnership is just the first step towards a bigger presence in the region and shows that Sigfox can provide innovative solutions with the ability to radically change the country’s IoT market”.

The Chengdu High-Tech Industrial Development Zone has assured nearly EUR 300 million investment for the deployment after a pilot phase among 1500 individuals beginning 2018 in Chengdu.

Elsewhere, Sigfox and Argon Consulting have entered into a strategic partnership to develop new Connected Supply Chain models for global businesses. The partnership is anticipated to speed up the deployment of IoT solutions in Supply Chain to bring down lead times and costs and boost production. Latest from the homepage

Kerlink and Stream Technologies Combine IoT Solutions for Rapid Ramp Up of LoRaWAN Connectivity

Kerlink and Stream Technologies Combine IoT Solutions for Rapid Ramp Up of LoRaWAN Connectivity

Kerlink, a specialist and global leader in network solutions dedicated to the Internet of Things (IoT), and Stream Technologies, the company behind IoT-X – the world’s most advanced IoT (Internet of Things) connectivity management platform, today announced the integration of their solutions.

The combined solutions will provide simple, end-to-end LoRaWAN™ connectivity solutions for their expanding international customer bases.

The two companies, which established their partnership in August 2015, have integrated IoT-X and Kerlink’s complete portfolio of gateways, ranging from indoor Wirnet™ iFemtoCell, to carrier-grade outdoor Wirnet™ Stations, and geolocation-ready Wirnet™ iBTS Compact. These solutions are designed not only for private or public operators and smart-city network deployments, but also for small private networks, like buildings or industrial sites.

Stream’s IoT-X connectivity management platform is fully integrated with the company’s LoRaWAN™ Network Server, and allows enterprises to thoroughly manage the IoT connectivity lifecycle, as well as subscriber provisioning, and offers rating and billing. It also enables users to benefit from a unique mix of IoT connectivity combining cellular, satellite and low-power wide-area (LPWA) LoRaWAN™ networks worldwide.

Kerlink, a fast-growing global provider of IoT infrastructure and applications for services, has already installed more than 70,000 IoT gateways, base stations and wireless connectivity products for IoT networks, and is currently supporting TaTa Communications to deploy the largest LoRaWAN™ network in the world. Kerlink’s application layers like LoRaWAN™ network-based geolocation solver and device management, and its expert services like reference design for connected devices, complete Stream’s IoT-X platform by providing value-added services that enable innovative use cases.

Stéphane Dejean, chief marketing officer at Kerlink, said the integrated package provides a turnkey solution that allows enterprises, public networks and existing network operators to quickly benefit from unlicensed LPWA solutions, as a complementary solution to broadband cellular networks.

“Stream Technologies has always been a market shaker in the IoT space,” Dejean said. “The IoT-X platform is a successful example of this pioneering spirit: it combines several types of connectivity to adapt to numerous customer use cases and delivers unprecedented experience in operating IoT connections. Accelerating our existing collaboration is a natural move for Kerlink to help customers in various verticals to quickly and efficiently bring their connected solution to market to generate new revenue opportunities and streamline their operations.”

“The comprehensive, combined features the two companies offer will help Kerlink accelerate our international expansion, including our growing operations in the U.S., South America and Asia, in an open ecosystem,” Dejean added.

Mohsen Shakoor, strategic partnerships at Stream Technologies, said:
“Stream is pleased to give a new dimension to its partnership with LoRaWAN™ gateways market leader, Kerlink. Our joint efforts already made it simpler for enterprises to flexibly add LoRaWAN™ as another cost-efficient and business-relevant option to connect their IoT devices.”

“Adding Kerlink’s solutions’ proven reliability, performance and quality to our solutions will accelerate the development of new applications and services that require the combination of long battery life, long-range coverage, deep indoor penetration, and lower design cost for connecting billions of devices to the IoT”.

The post Kerlink and Stream Technologies Combine IoT Solutions for Rapid Ramp Up of LoRaWAN Connectivity appeared first on IoT Business News.

IoT Business News

Predictive and cognitive combine to reduce maintenance time

Predictive maintenance analytic models and algorithms, enabled though instrumentation and connectivity of critical equipment, are allowing asset intensive organizations to identify impending equipment degradation or failure well in advance of the actual event and thereby proactively remedy the problem, often without impact to production schedules.

Some of the more sophisticated multivariate analysis capabilities help pinpoint source of the problem – possible generator failure caused by a combination of coolant leak and unusually high ambient temperature, and predict time to failure – within 72 hours based upon current operating conditions. Such prognostications can help maintenance personnel prioritize, plan, and schedule appropriate resources to effect repairs as efficiently as possible.

A wealth of maintenance and repair information in digital form

Many routine repairs and maintenance procedures are common knowledge to experienced maintenance personnel, retirement of senior personnel. Work orders, repair logs, and notes contained in enterprise asset management systems are also important sources of maintenance information. For newer equipment multiple sources of digital information – technical documentation, schematics, discussion forums, “how-to” videos, blogs, and discussion groups are becoming increasingly available. This wealth of digital information can be employed to effect better maintenance practices. The challenge is aggregation and analysis of relevant information to make it readily available in support of effecting repair/maintenance procedures. Here, cognitive capabilities can be applied to achieve this goal.

Cognitive capabilities consolidate, classify, and recommend

Cognitive capabilities can consolidate, analyze, and classify relevant digital sources of equipment-specific information to identify topics, methods, and procedures with the goal of recommending specific resources to maintenance personnel to assist in executing a specific repair or maintenance procedure. For example, a maintenance engineer encountering a fault code could query the cognitive system using the equipment model number and the fault code and be provided with the page in the technical document that explains the code, a video that shows how to reset and recalibrate the equipment, and a link to a discussion forum that explains potential problems (and solutions) in the event the engineer encounters difficulties.

Predictive and cognitive for optimized maintenance

The combination of predictive and cognitive analytics can optimize many facets of maintenance activities. Accurate identification of cause and time of predicted asset degradation or failure helps maintenance and operations determine potential impact on production schedules, scheduling and prioritization of maintenance activity, and resources needed to remedy the problem. Type of failure can then be given to the cognitive analysis system so that it can recommend the appropriate information resources to aid in timely and successful repair.

IBM IoT Equipment Advisor

IBM makes predictive and cognitive capabilities as described above available via the complementary capabilities of IBM Predictive Maintenance and IBM IoT Equipment Advisor. Together, these solutions help asset-intensive organizations improve equipment performance, accelerate time to repair, reduce maintenance costs, and implement more effective and efficient operations and maintenance strategies for critical assets.

Prepare for the benefits of predictive and cognitive

Predictive and cognitive have the potential to significantly transform the manner in which asset intensive organizations conduct maintenance activities. To take advantage of these capabilities, compare your current environment against this brief list of requirements needed to facilitate the transformation.

  • Critical equipment is identified, instrumented, and currently producing operational data (if not see how to bring the benefit of IoT to older manufacturing equipment)
  • A digital repository of operational data, including failures, for critical equipment exists and can be accessed and analyzed for development of predictive models
  • Work orders, maintenance and repair data in a digital format are available, ideally residing in an EAM system such as IBM Maximo
  • Sources of asset-specific technical, operational, repair, and procedural information in digital format have been identified to be analyzed and classified using cognitive capabilities to provide equipment-specific recommendations in support of maintenance and repair activities.

Learn more

  • If the potential of predictive and cognitive to improve maintenance practices is of further interest we invite you to explore the topic further via this solution brief.
  • Learn more about how IBM Maximo Asset Management can help you manage your enterprise assets more effectively, contact your IBM representative or IBM Business Partner.

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Internet of Things blog