Mercedes-Benz and his partner GAZ chose Siemens to be its maintenance partner at a new engine plant in Yaroslavl, Russia. The new plant offers a capacity to manufacture diesel engines for the Russian market, for locally produced Sprinter Classic. In addition to engines for the local market, the Yaroslavl plant will also produce spare parts. Mercedes-Benz Russia and his partner needed a service partner in order to ensure the operation of these lines in a maintenance partnership arrangement. The challenges included coordinating the entire maintenance management operation, in particular inspections, corrective and predictive maintenance activities, and the optimizing spare parts management. Siemens developed a customized maintenance solution that includes all electronic and mechanical maintenance activities (Integral Plant Maintenance).
Mitsubishi sought to improve supplier relationships on a global basis and to offer an easy-to-use solution to interact with them. In August 2004, Mitsubishi selected Covisint’s platform to help improve sharing of information and collaborative business processes with its global suppliers. Covisint enabled Mitsubishi to provide its suppliers with immediate access to information and applications to obtain more collaborative working relationships
Mobility promises us a future of connected driving: an increase in driving safety and road safety, autonomous driving, better traffic flow, less harm to the environment, and enhanced public and goods transportation. However, this future is one, from a technical standpoint, very hard to realize. The current transmission of data between vehicles is, currently, not fast enough to ensure safety amoungst autonomous vehicles.
While on-site in Pavlodar, Kazakhstan, the DAQRI team of Business Development and Solutions Architecture personnel worked closely with KSP Steel’s production leadership to understand the steel production process, operational challenges, and worker pain points.
The assumption of trust which accompanied the early days of the internet is gone and replaced by privacy and security concerns accompanied with attitudes to risk which rise and fall across different sector and application scenarios. IoT covers a diverse range of services and products deployed in both managed and unmanaged use-cases with varying network topologies which bring different security challenges and new potential for attack.
In the third wave of industrial evolution, we had automation that produced large amounts of data. This data had high potential for analytic applications, but it was not easy to analyze because it was siloed in the machines where it was generated. With this project, we demonstrate that it’s not complex to send the data to the cloud using secure and reliable services that allow us to analyze the data in near-real time and build maching learning models to extract knowledge from it.
The Central Advanced Research and Engineering Institute at Hyundai Motor Company develops future mobility technologies. Rather than provide conventional vehicle products to customers, this research center creates new mobility devices with a wide range of speeds for a variety of people, including the elderly and the disabled. As our society ages, there is a greater need for systems that can aid mobility. Thus, we are developing wearable exoskeleton robots with NI embedded controllers for the elderly and patients with spinal cord injuries to use.
Developing a system that can handle complex control algorithms to capture data remotely from various sensors simultaneously and perform real-time control of multiple actuators for a wearable robotics device for walking assistance.
With extended life spans of the world's population comes an increased burden on the world's health care systems. Up to 80% of older adults have at least one chronic health condition that requires continual treatment management. With the advent of accessible IoT technologies, health care providers are now able to access patient remote monitoring and health informatics that can make management of these populations more cost effective and increase the quality of care. However the slow pace of technology adaptation and proprietary solutions among medical device manufacturers makes it difficult for caregivers to implement a cost-effective IoT solution for patients which can bring together all pipelined stages of patients' treatment, from initial diagnosis through lifetime disease management. GOAL To develop an open IoT ecosystem for clinical and remote medical devices that can bring together patient monitoring data into a single data management and analytics platform.
The Integral Plant Maintenance concept from Siemens was tailored to production specific needs. The primary goal was to meet the customer's strict availability requirements. This was accomplished with an optimized maintenance management system. Through predictive maintenance, line downtime is selectively avoided, and planned downtime is used to perform the necessary maintenance work. The service solution from Siemens is also responsible for other tasks, including: - Inspections - Preventive maintenance - Corrective maintenance - Optimizing the supply and stocking of spare parts As they were working out the concept, the local maintenance experts were able to draw on the extensive knowledge base of Siemens' global expert network. They received optimal support in implementing the Siemens Integral Plant Maintenance standard through coaching sessions and process mapping workshops. Siemens maintenance experts realise planned and unplanned maintenance activities on two shift operation geared with a performance based contract. Performance Indicators includes plant availability and per-unit maintenance costs
It was Mitsubishi’s goal to provide the supply base with every opportunity to advance performance and understanding of supplier-related requirements of its own company and its affi liates worldwide. Using a common framework and interface, Covisint’s platform globally integrated cross-functional online applications, which provided suppliers with one, single point-of-access and contact. The multi-phase agreement began with the deployment of the solution in Japan to approximately 1,200 Mitsubishi suppliers. Covisint worked with Mitsubishi to recruit the suppliers using their deployment team to access the Mitsubishi supplier portal in any one of seven languages, including Japanese.
The key to making this future a reality is the cooperative intelligent transportation system (C-ITS), which enables vehicles to exchange information with other vehicles and with traffic infrastructure in real time. This is known as V2X (Vehicle-to-everything) communication. Up to now, V2X communication has been based primarily on ITS-G5, a dedicated short-range communication (DSRC) standard. This means that the exchange of data between vehicles and roadside equipment happens through direct WLAN communication.
Employing DAQRI SMART HELMET™ and visual markers at process-observation points, KSP Steel engineers could access two new capabilities.
1. Just-in-place AR data visualization: Workers could safely access necessary information at the point of need, without wasted travel time or an interruption of situational awareness.
2. Portable Process Data: Workers can select an AR data visualization for a given observation point and pin it to their AR display, independent of the unique marker. This decouples the dependence on installed physical infrastructure and allows the user to safely take information with them, providing exponential improvements in process flexibility.
Only Arkessa staff are authorised to provision your M2M/IoT connections and it’s important that during the provisioning process only the services required for the solution are applied to the subscriptions / SIMs, therefore reducing the risk of unintended or malicious use.
The data captured during the molding process is useful to build a machine learning model that will warn us when the quality of the product may be lower than the defined standard.
Using the LabVIEW RIO platform, including a CompactRIO embedded system and a real-time controller with an FPGA control architecture provided by Single-Board RIO, to acquire data from various sensors and control peripheral units, high-speed communication devices, and actuators; and using LabVIEW software to acquire reliable data by conducting real-time analysis and applying various robot control algorithms to dramatically reduce development time.
*This is an IIC testbed currently in progress.* LEAD MEMBERS Infosys SUPPORTING MEMBERS Massachusetts General Hospital MD PnP Lab, PTC, and RTI MARKET SEGMENT Large hospital organizations, clinical organizations and any other health care providers. Medical device manufacturers developing products for cloud connected ecosystems. FEATURES • Building an open IoT ecosystem that is medical device and activity tracker agnostic • Clinical and remote monitoring patient data in a single data management and analytics platform • Medical device asset tracking & management • Patient prescription medicine and treatment adherence • Communication and alert system for adverse health events TESTBED INTRODUCTION The world's populations are getting older. There are many reasons for this, including advances in health care technology, increased access to health insurance, and a more health-conscious society. With these extended lifespans there is increased concern for chronic health conditions. Up to 80% of older adults have at least one chronic health condition that required medical attention and management, such as heart disease, diabetes, cancer and potential injuries from falls. Because of the society shift in a reduction in unofficial caregivers, like family and friends, many older adults are therefore forced to seek professional home care or nursing facilities. But these are very expensive options and out of reach for many patients. Infosys, a member of the Industrial Internet Consortium, is leading a new testbed project with significant contribution from Consortium members RTI, PTC, and Massachusetts General Hospital MD PnP Lab (Medical Devices Plug-n-Play Interoperability Program), part of the Partners HealthCare network of hospitals. This testbed is focused on creating an open IoT health care ecosystem for remote/home monitoring of patients, giving them the option of living at home with the added security of remote management of their chronic conditions. This will create a cost effective solution for patients and their families, and provides caregivers the opportunity to provide continuous care beyond the walls of their office or facilities. Including clinical/hospital patient monitoring within this ecosystem allows for data aggregation and unification of patient data into a single environment, including EMR systems. Caregivers will be able to access a full patient history including clinical & hospital visits with patient vital summaries collected, summarized and analyzed along with the patient's remote monitoring data. Dashboard summaries of patient data will provide a single-page view into the patient's health and adherence to prescribed therapies and medications, and warnings/alerts can be generated to indicate or prevent adverse health events. All these capabilities will provide caregivers better tools for managing chronic conditions of their patients. A substantial opportunity exists here to reduce the cost of chronic health management for patients. Advances in technology minimization and integration, networking access of medical devices and preponderance of personal smart devices make IoT technology particularly well suited to address this problem. The Testbed will provide an ecosystem of tools that can provide: • Improved patient health and reduced hospital readmissions • Provide patient, family and caregivers involvement and access to patient health • Enable patients to live at home while under managed care • Enable health care providers to improve patient adherence to prescribed treatments As a result, this testbed can provide a better quality of life to patients and enable better care management by caregivers.
Mercedes-Benz Russia and GAZ
KSP Steel, the first Kazakhstan Company producing steel seamless pipes for oil and gas sector, was founded in early 2007. Republic of Kazakhstan President Nursultan Nazarbayev attended the official opening of KSP Steel’s plant in the city of Pavlodar in December 2007. The total area of the company production facilities amounts to approximately 133 ha. Over 7,500 well-trained specialists work there. The company’s head office in Almaty coordinates the operation of the plant.
Generally appilicable for security authentication for IoT platforms.
Systems integrators and manufacturers looking to use IoT Hub to have real-time capture of equipment data.
Hyundai Motor Company
|Solution Maturity||Emerging (technology has been on the market for > 2 years)||Mature (technology has been on the market for > 5 years)||Cutting Edge (technology has been on the market for < 2 years)||Cutting Edge (technology has been on the market for < 2 years)||Cutting Edge (technology has been on the market for < 2 years)||Emerging (technology has been on the market for > 2 years)||Cutting Edge (technology has been on the market for < 2 years)||Emerging (technology has been on the market for > 2 years)|
Plant availability and per-unit maintenance costs.
|Original Full Case Study|| Open in new tab|| Open in new tab|| Open in new tab|| Open in new tab|| Open in new tab|| Open in new tab|| Open in new tab|
|Youtube Video ID|
|Use Cases||Predictive Maintenance (PdM)||Manufacturing System Automation||Autonomous Transport Systems||Factory Operations Visibility & Intelligence ||Cybersecurity ||Manufacturing System Automation||Industrial Wearables|
A single point of contact for service activities for the customer that secures the optimal performance of their equipment and systems for years to come.
Registered users have access to individual applications and procurementrelated information as well as the portal pages of Mitsubishi Motors’ major locations. Internet-based applications enable Mitsubishi’s supplier partners to become thoroughly networked with Mitsubishi, offering reduced timeto-market, increased process quality and more.
The solution lies in ensuring the protocol stacks used for V2X communication between all V2X devices have a consistent, intelligent structure. V2X messages are generated on the application or device level and relayed to the transport and transmission level. This is where the security header is added to each V2X message via the security components interface. The header includes the message signature and the associated certificate; if necessary, the message can be symmetrically encrypted in a second step.
Increased Worker Productivity - 40% Increase
Traffic from the mobile device is tunnelled through the land based part of the mobile network to the GPRS Gateway Support Node (GGSN).
Through Azure's services, a Windows Service was developed to connect IoT Hub geared to gather and compress CSV documents and other direct sensor information.
Improvement in quality of life for patients by allowing them to live more independently. Provide patients, family and caregivers more involvement and leverage in patient care.
A precise adaptation of maintenance activities to the plant’s processes ensures a comprehensive collaboration between the maintenance team and all levels of customer’s organization.
In particular, these advantages have led to cost savings for both Mitsubishi and suppliers. In just 90 days, Covisint’s platform provided a secure infrastructure based on the Covisint federated identity management model to help ensure the security of Mitsubishi information and applications. This includes integrated automotive-specifi c applications for sharing a library of documents and secure bulletin broadcasts to increase the visibility of information across the supply chain and achieve better decisions with current, real-time information.
Hybrid communication for vehicles is a sensible and useful development for connected driving. It paves the way for integrating more systems, road users, and services into V2X data exchange. At the same time, IT security is and will remain a necessary and fundamental condition for V2X. Establishing an intelligent concept means consistent, homogeneous, and efficient IT security across the various V2X communications channels and standards.
Reduction in Factory Downtime - 50% Decrease
When a device is configured to use an Arkessa APN the GGSN asks Arkessa for authentication and IP address assignment.
A Machine Learning model was developed, fed with all the historical data that has been gathered by the control computer and joined with the customer labels that are retrieved one month later. This model will be retrained with new data when needed.
Reducing the cost of chronic medical care. Reduce cost in development of IoT connectivity in medical devices though standards adaptation..
Maximum availability of the customer’s production equipment, the ability to optimally schedule production, and the means to calculate costs over the long term.
By leveraging Covisint’s platform, Mitsubishi avoided the expense and time to develop a portal internally and accelerated the rollout of its internal applications to suppliers. The portal enables a single global access point to all online applications as well as easy navigation and processing of system transactions.
To ensure data protection for the entities communicating via the V2X network, each V2X message receives a signature before it is encrypted. This way, even within a hybrid communication network, security for V2X data exchange fulfills all requirements: data integrity, sender authenticity, sender authorization, replay detection, confidentiality, privacy protection, reliability, and revocation of trust.
Arkessa’s RADIUS server checks the SIM in the device is allowed to connect and before assigning a private IP address specific to that SIM and enabling data services to begin.
A Power BI dashboard was developed to see the curves and the Azure Machine Learning-trained model results as executed in Stream Analytics for each piece in real time.
Reduce hospital readmissions to reduce health care costs and improve reimbursement rates
|Tech Partners||Arkessa||Industrial Internet Consortium (IIC)PTCRTI|
IoT Snapshot: Hardware
|Processors & Boards|
|Sensors & Actuators|
|Devices & Equipment|
IoT Snapshot: Software
|Software as a Service|
|Platform as a Service|
|Infrastructure as a Service|
IoT Snapshot: Service
|Construction & Buildings|
|Equipment & Machinery|
|Logistics & Warehousing|