Distributed Systems for Medical Ultrasound
As a large distributed system scales, the ability to simultaneously maintain or enhance performance and reliability creates its own set of unique challenges. How do you address the distributed future, ensure you learn from your past experiences and build on the investments customers have already made? The challenges are real, and in the process of overcoming them BK Medical is building healthcare systems that are more cost effective, and provide greater integration into the patient care systems to facilitate improved decision making for doctors.
RTIRTI provides the connectivity platform for the Industrial Internet of Things (IIoT). RTI's solutions connect across field, fog and cloud. Its reliability, security, perfomance and scalability are proven in the most demanding industrial systems. Deployed systems include medical devices and imaging; wind, hydro and solar power; autonomous planes, trains and cars; traffic control; Oil and Gas; robotics, ships and defense. RTI is the largest vendor of products based on the Object Management Group (OMG) Data Distribution Service™ (DDS) connectivity framework.
Equipment & Machinery
BK Medical is devoted to building healthcare systems that are more cost effective, and provide greater integration into the patient care systems to facilitate improved decision making for doctors.
- CONNECTIVITY PROTOCOLS
IPv6 Other frequency
BK Medical settled on RTI Connext DDS as the best foundation for the BK Medical Global Data Bus. Because each distributed system is modular and potentially independently developed, BK Medical needed a mechanism that focused on data to ensure a loose-coupling between system elements. They opted to use a global data bus and a data-centric design approach that includes management tools for performance, reliability and other system attributes. As a result, they would not only decouple applications from each other, but also decouples applications from the need to understand or know anything about underlying physical delivery media or network topology.
- DATA COLLECTED
- SOLUTION TYPE
- SOLUTION MATURITY
Emerging (technology has been on the market for > 2 years)
- OPERATIONAL IMPACT
Impact #1 [Efficiency Improvement - R&D]
Due to the flexibility DDS offers, features can be developed independently of the need to integrate security into future releases.
Impact #2 [Efficiency Improvement - R&D]
Implement and assess proprietary and commercial hardware architectures rapidly.
Impact #3 [Efficiency Improvement - Operation]
DDS readily addresses the challenge of mixing real-time communications with IT infrastructure, an essential requirement for BK Medical ultrasound systems.
- QUANTITATIVE BENEFIT
- USE CASES
Process Control & OptimizationProcess control and optimization (PCO) is the discipline of adjusting a process to maintain or optimize a specified set of parameters without violating process constraints. The PCO market is being driven by rising demand for energy-efficient production processes, safety and security concerns, and the development of IoT systems that can reliably predict process deviations. Fundamentally, there are three parameters that can be adjusted to affect optimal performance. - Equipment optimization: The first step is to verify that the existing equipment is being used to its fullest advantage by examining operating data to identify equipment bottlenecks. - Operating procedures: Operating procedures may vary widely from person-to-person or from shift-to-shift. Automation of the plant can help significantly. But automation will be of no help if the operators take control and run the plant in manual. - Control optimization: In a typical processing plant, such as a chemical plant or oil refinery, there are hundreds or even thousands of control loops. Each control loop is responsible for controlling one part of the process, such as maintaining a temperature, level, or flow. If the control loop is not properly designed and tuned, the process runs below its optimum. The process will be more expensive to operate, and equipment will wear out prematurely. For each control loop to run optimally, identification of sensor, valve, and tuning problems is important. It has been well documented that over 35% of control loops typically have problems. The process of continuously monitoring and optimizing the entire plant is sometimes called performance supervision.