Embedded real-time applications offer promising solutions and refer to the integration of computer and control systems into objects and devices used in everyday life and industrial products. The use of sensors and actuators can enable more efficient monitoring and control of energy and resource use.
Many of these problems can be solved with combining virtualization to real-time controlling capability. This is where our RTOS & Hypervisor PikeOS excels by its unique resource and time partitioning features. And with our ELinOS distribution we offer an embedded industrial solution that is highly adaptable to a wide range of hardware platforms with a reliable, energy-efficient performance.
Energy & Technology
Embedded real-time systems enable more efficient monitoring and control of energy resources and help optimize energy consumption. One example is the smart grid, where electric utilities can make their grids smarter and more efficient by, for example, monitoring and optimizing consumers' power consumption. It is also possible to optimize the energy consumption of industrial processes, which can lead to a reduction in waste and emissions and contribute to a sustainable future.
Saving Energy with AI
Electricity should not only be produced more sustainably, but also used more efficiently to reduce overall consumption. AI (Artificial Intelligence) can help by using machine learning algorithms to detect and regulate energy consumption in homes and buildings through sensors. The system adjusts to the habits of the residents and reduces energy consumption through intelligent networking of systems. For hotels, indoor swimming pools, factories and office buildings, control devices can also help to match the measured data that have already been recorded with energy efficiency management systems. Intelligent controls thus reduce energy consumption, CO2 emissions and cost.
Wind Park Monitoring and Control
An effective operation of wind energy systems is essential as these systems use sensors and computer algorithms to monitor and control the performance of wind turbines, providing real-time data on wind speed, direction, and energy output. Operators can identify and address any issues with individual turbines, ensuring optimal performance and maximum energy production. This information can also be used to optimize the overall operation of the wind park, improving efficiency and reducing costs. In addition to improving performance and efficiency, wind park monitoring and controls can also enhance Safety by detecting potential issues before they become a problem. For example, sensors can monitor blade health and detect potential faults before they result in equipment failure.
Energy Storage System Monitoring
Energy storage systems can store excess energy produced by renewable energy sources such as wind and solar. Energy storage system monitoring technology provides real-time data on energy storage levels, enabling operators to optimize the use of stored energy to meet energy needs and reduce waste.
Solar Energy and Panels
A popular application in renewable energy is in the management of solar panel systems. Solar panels are often installed in remote locations, making it challenging to monitor their performance. However, embedded software solutions with real-time monitoring capabilities can track the energy generation of each panel and provide insights into their efficiency. This information can be used to optimize the performance of the solar panel system and improve energy generation. By analyzing weather patterns, the system can also predict and prepare for any drop in energy generation, ensuring a continuous supply of clean energy.
Smart Grid Monitoring
Smart grid technology is used to monitor and control energy distribution in real-time, optimizing energy use and reducing waste. With sensors and computer algorithms, smart grids can detect changes in energy demand and dynamically adjust energy production and distribution to meet changing needs. This results in a more efficient, flexible, and resilient energy system.
Predictive Maintenance in Manufacturing and Industry 4.0
Predictive maintenance is a real-time monitoring solution that uses embedded systems and data analytics to predict when a machine is likely to fail. This can help companies to reduce energy consumption by avoiding unplanned downtime and optimizing the use of machinery. Smart sensors can also be used to monitor the energy consumption of individual machines and processes, providing companies with the data they need to optimize energy use and reduce waste.
Automated Logistics and Supply Chain Management
Automated logistics and supply chain management solutions can help companies to reduce energy consumption by optimizing the transportation of goods. For example, using real-time tracking and routing, these systems can minimize the energy used to transport goods and minimize the amount of energy wasted through inefficient routes.
Nature & Climate
Nature and climate are constantly changing and impacting our daily lives. The use of technology can help to understand and monitor these changes by collecting environmental data in real-time and take accurate action. Real-time monitoring plays a crucial role in this effort and with the help of embedded software solutions, we can collect and analyze data on various aspects of the environment, including temperature, precipitation, and air quality.
These information help us to develop strategies for reducing our impact on the environment, promoting sustainability, and ensuring the long-term health of our planet.
Species Protection with AI
More and more animal species are threatened worldwide and populations are shrinking. To counteract this, effective measures must be taken for their sustainable protection. However, in order to know how many animals are still around and the ways in which they spread, enormous efforts have had to be made so far. In many countries, such as China, conservation organizations are therefore using AI (Artificial Intelligence) to analyse thousands of daily taken photographs coming from automatic photo traps. In the past, the countless photos had to be evaluated and sorted individually by humans. Today, this can be done by cloud technology, which sends the images directly to the experts for evaluation. In advance, animals are identified by their own characteristics, such as coloring, stripes or size, so that the species can be better separated from each other. In this way, enormous amounts of data can be pre-sorted, catalogued in a data base and displayed in a geological animal spreading overview with countries and regions.
Drone Field Observation
Drones are getting more and more popular for various use cases in nature. One example is flying over a field before mowing or harvesting and to scan the surface for animals such as young deer. These are naturally hiding in the fields and do not run way when agricultural machines are approaching them. With cameras or built-in infrared sensors in the drone any heat signature of warm objects can be identified before harvesting. Like that, actions can be taken to prevent accidents during work and increase animal welfare.
Glacier Monitoring & Avalanche Warning
Glacier monitoring and avalanche warning systems play a crucial role in ensuring the safety of people and communities in areas where glaciers and avalanches are a threat. These systems use various technologies, such as sensors, cameras, and remote monitoring devices, to monitor the activity of glaciers and predict the likelihood of avalanches.
One important component of glacier monitoring is the use of GPS sensors providing real-time data to measure the movement and rate of glacial ice. Additionally, remote cameras and drones can be used to capture images and video footage allowing to get a closer look at glacial activity and assess potential threats.
Avalanche warning systems work similarly, by using a network of sensors to detect changes in the snow pack and predict the likelihood of an avalanche. These sensors may include pressure sensors that measure the weight of the snow pack, temperature sensors that monitor changes in the temperature of the snow, and acoustic sensors that detect the sounds of an avalanche. The data collected by these sensors is analyzed in real-time to provide early warning of potential avalanches.
Weather Monitoring & Climate Prognosis
Weather monitoring and climate prognosis play a crucial role in predicting and mitigating the effects of extreme weather events, like hurricanes, droughts, and heat waves. These systems use various technologies, such as satellites, radars, and weather stations, to gather data on the current weather conditions and forecast future trends.
Satellites, for example, provide a broad view of weather patterns and conditions by capturing images and data from high above the Earth's surface. These images and data are then used to create weather maps and models in real-time, which can be used to forecast future weather patterns and conditions. Weather stations provide ground-level data on current weather conditions, such as temperature, wind speed, and precipitation. This data is used to create local weather forecasts and to monitor and predict weather events.
Fire Monitoring of Forests and Fields
Drought and dryness are increasing worldwide and affect forests, fields and meadows. This increases the risk of fires enormously. Early detection of forest fires can significantly reduce the extent of damage and save lives. Today, the most modern technology is used for this purpose. Therefore, towers are used that can automatically detect and report fire hazards in the surrounding area with an optical early warning system. By means of a 360-degree panorama sensor, a radius of up to 15 km is recorded and the presence of smoke features analyzed in real-time. This way, fires can be detected at an early stage and reported via radio signal or DSL to a control center, which can then notify and coordinate the appropriate emergency services. And even further, drones can be sent out automatically to monitor the area and direct emergency groups to the fire.
Filtering CO2 from the Air to produce Carbon
We emit large amounts of CO2 into the air and thus influence the climate and the environment. But CO2 can also be taken from the air and converted into solid carbon. This is particularly demanded for construction materials, as an admixture in the form of color pigments in paints and varnishes, and above all in battery and accumulator production. In this way, climate change can be countered and industry can profit from the resulting carbon. Valuable hydrogen is also produced as a by-product during the methane pyrolysis.
Hypervisor in Space: PikeOS protecting Earth
One of the space missions relying on PikeOS is the ANGELS project, a European initiative to develop extremely compact satellites. The first prototype was launched at the end of 2020 and proved to be fully operational. ANGELS stands for Argos NEO Generic Economic Light Satellites, with Argos being the only global satellite-based system for location and data collection designed specifically to study and protect the planet´s environment. ANGELS is a nanosatellite demonstrator program with the objective to develop satellites with a 12U form-factor and weighs between 10 and 50 kg.
Agriculture & Food
Embedded real-time systems can play a critical role in promoting sustainable agriculture and a reliable food supply. By monitoring factors such as soil quality, climate and water supply, embedded real-time systems can help farmers produce crops more efficiently and sustainably. One example is cropping water demand monitoring, where embedded real-time systems can collect real-time water demand information and transmit it to irrigators to enable more efficient use of water resources.
In addition, embedded real-time systems can also help monitor storage conditions and food distribution to ensure that food remains safe and fresh.
Efficient and environmentally friendly Agriculture
Humanity needs more and more food, and producers face daunting tasks. With better and more accurate data, farmers could grow food more efficiently and with less environmental impact, depending on the region or climatic conditions. Data from satellites, drones, tractors and sensors can be fed into cloud-based artificial intelligence models to provide a digital picture of soil quality in fields. A network of sensors measures soil acidity, moisture and temperature, while a weather station collects important data such as wind speed, precipitation or air temperature. The tractor provides insights into the biomass and its characteristics, such as growth height and coloring, which are indicators of plant health. All this data can be generated into overviews that can be used to target seeds or fertilizers and refine cultivation methods, resulting in higher yields, fewer failures, lower costs and more sustainable agriculture.
Resource-efficient, economic and intelligent Foodchain
Food waste is a major problem, because even the production process can generate several tons of waste. To save our growing world population from food shortages the aim needs to be to use of AI (Artificial Intelligence), because neither strict requirements for product Safety nor conditions in food processing show a reduction in the ecological and economic waste of food. In addition, there is often little planning ability in agriculture or strong fluctuations in demand in the trade. With the help of an AI ecosystem, all stakeholders in food production could be digitally brought on board together and develop more efficient plans and measures for their production and against food waste in the future. This is a big plus for our environment, as well as to save cost, time and personnel.
Autonomous Machines & Harvesting
Autonomous agricultural machinery can make a valuable contribution to the digitalization of agriculture. They can work remotely or independently, even at pre-programmed times during the night. Changing the equipment can take place automatically. Safety systems and sensors with all-round monitoring ensure smooth operation and report immediately if a problem occurs. Sensors also help to detect disturbances during field operations and adjust the machine so that the quality of work remains constant under different conditions. New technologies such as compact and affordable electric drives, modern control techniques and satellite tracking make it possible to build such vehicles. And the customer support service can be informed automatically and at an early stage before a possible defect in the machine, in order to avoid expensive repairs or breakdowns. The aim for the farmer shall be to spend less time on simple tasks (like driving in the field) - he should be able to devote more time to value-adding work.
Drone Analysis & Pest Control
What used to be manual work can now happen automatically. Today's agriculture means precision work. In order to apply seed or fertilizer precisely, a field is flown over with a drone beforehand and the results are syncronized with connected sensors in the earth. All data are then analyzed and sent to an automated tractor that automatically drives over the field and delivers nutrients to where they are needed. The great advantage of this interconnected drone and sensor digitalization lies in the efficient control of where and how much of a substance is used, reducing emissions (CO2 emissions) and strengthening sustainable farms economically for the future. This also minimizes the impact on the environment and generates more profit from the resources used (men power, time and cost for pesticides, nutrients and seeds).
With precision farming, significant savings in agriculture can be achieved in terms of labor time, machine hours and farming supply inputs. This also includes the use of crop protection products and fertilizers for a more sustainable product and environmental quality. The use of high-tech for the digitalization of agriculture (digital analyses, connected agricultural machinery or processing plants) will lead to considerable savings in input quantities in Agriculture 4.0, according to specialists.
Greenhouse Farming 2.0
Water and seeds are precious resources and should therefore be used wisely and purposefully. In regions where there are no large fields or watering is difficult, automated greenhouses can be an alternative. Here, interconnected sensors monitor a wide variety of beds and analyze the condition of moisture and nutrients. Water can be added directly to the plants, and ventilation, sun protection or heating are automatically regulated depending on the climate. This results in better plant growth and more efficient use of water and energy.
Seeding and Analysis Robots
Self-acting robots can be used for the cultivation and care of young plants. During growth, the plants are freed from weeds, which are recognized by sensors and sorted out. The plants are also photographed and documented in a database so that a harvesting machine can access them later. The aim is to avoid the use of pesticides and still provide the young plants with the best possible care.
Digital Cowshed: Milking Robot
In agriculture 4.0 the use of milking robots in a cowshed is a way to improve efficiency, productivity, and cow comfort as these robots are designed to automate the milking process, freeing up time for farmers to focus on other tasks and allowing cows to be milked on their own schedule. Milking robots use sensors and computer algorithms to identify individual cows and attach the milking apparatus. The cows are then milked without the need for human intervention. This results in a more relaxed and stress-free environment for the cows, which can improve their overall health and milk production. In addition, milking robots can also provide valuable data on cow behavior, health, and milk production allowing farmers to make informed decisions about herd management and improve the overall efficiency of their operation.
Digital Cowshed: Feeding Robot
Feeding robots in cowsheds can help farmers to improve the efficiency and productivity of their work as these robots are designed to automate the feeding process. This saves time and resources on manual labor. Automated feeding robots work by using sensors and algorithms to identify individual cows and dispense the appropriate amount of feed based on their specific needs. This helps to ensure that each cow is receiving the right amount of nutrition, which can improve their overall health and productivity. Furthermore, these robots can provide valuable data on the cows, such as their feed intake, health status, and behavior. This data can be used to identify areas for improvement and to make informed decisions about the management of the herd.
Digital Cowshed: Cleaning Robot
Automated cleaning robots improve the efficiency and hygiene in a cowshed. They are designed to automate the cleaning process and help to maintain a clean and healthy environment for the cows. Cleaning robots use sensors to navigate autonomously in the cowshed and perform tasks such as sweeping, scrubbing, and sanitizing the floors and walls. They are capable of working around the cows, ensuring a thorough cleaning without causing any stress or disruption. In addition, cleaning robots can also provide valuable data on the cleanliness of the cowshed. These information help farmers to track progress and identify areas for improvement, helping to maintain a clean and healthy environment for the cows.
Water Resources & Oceans
Protecting our water resources and oceans is a critical task and can be done with support of real-time applications. By monitoring factors such as water temperature, salinity, and chemical composition, embedded real-time systems can provide important information for monitoring ocean and coastal conditions. This information can then be used to promote more environmentally friendly and sustainable practices in fisheries, shipping, and coastal development.
Water Resource Management
Real-time monitoring of water resources is critical for effective water management. Advanced sensors and control systems can be integrated into the water distribution network to monitor flow rates, water pressure, and other key parameters in real-time. This data can be used to optimize the water distribution network, reducing waste and improving overall efficiency. With real-time capabilities, water managers can quickly respond to changes in demand and make informed decisions to ensure that water resources are used sustainably. Additionally, real-time monitoring of water quality can help to prevent contamination and ensure that the water supply remains safe for consumption.
Flood Early Warning Systems
Early warning systems can be implemented using real-time monitoring technologies to provide critical information on the state of river and coastal water levels. This information can be used by local authorities to quickly respond to potential flooding incidents and evacuate communities at risk. Technologies such as remote sensors and satellite imagery can be used to provide real-time data on water levels, which can then be combined with weather forecasting information to provide more accurate flood warnings. These real-time systems can help to mitigate the impact of floods, reduce the number of lives lost, and minimize damage to infrastructure and property.
From Air into Water: Underwater Observation with UAV and Drones
Combining flying drones and swimming UAVs opens a full spectrum of new possibilities. Drones can carry the UAV from the shore to its operation place. When landed on the water, the drone releases the UAV which is remotely controlled. The UAV can be used to monitor aquacultures, fishing nets and farms without sending out personnel. Furthermore, other inspections are possible, such as underwater conditions of offshore wind power, dams or bridges, inspections of hulls or in general to monitor water quality, grows of algae or take pictures and videos.
Garbage Collection in Rivers, Canals and Oceans
Our environment is suffering from garbage and plastic. Millions of tons of garbage end up in nature and are also reaching our coasts and oceans. And with that, the concentration of microplastics is increasing year by year. To solve that problem, swimming drones can be used in canals, lakes and rivers to collect swimming garbage. They can be powered via battery or solar modules. Remote control could also be possible or it operates autonomously, scanning the surrounding, collecting the garbage and then return back to its base. Furthermore, it can collect data by analyzing the depth, temperature, pH and salinity of the water for later evaluations of the affected area.
Water Quality Monitoring
Technology can be used to monitor water quality in real-time, providing information on water temperature, pH, dissolved oxygen levels, and other key parameters. This information can be used to identify areas of concern and take action to improve water quality and protect aquatic life.
Marine Traffic Monitoring
The deployment of real-time monitoring systems enables to track and monitor shipping traffic in the ocean. The technology uses a combination of GPS, satellite imagery, inter-connectivity of ships and other sensors to provide real-time information about vessel movements and detect potential collisions, illegal fishing activities, or any other Safety concerns. This can help coastal communities and marine conservation organizations to respond quickly to potential risks and protect ocean ecosystems.
Marine Life Tracking
Technology such as GPS-enabled tags and acoustic monitoring systems can be used to track the movements and behaviors of marine life, providing valuable information on migration patterns, population density, and habitat use. Also, real-time data from UAVs can aid in the exploration and mapping of the ocean floor, providing new insights into the biology, geology, and ecology of the ocean.
Coastal Erosion Monitoring
With the use of remote sensing technologies such as drones and satellites, it is possible to monitor changes in coastline and coastal erosion, providing important information for decision making and coastal management.
Ocean Acidification Monitoring
Technology can be used to monitor ocean acidification, which is caused by increasing levels of carbon dioxide in the atmosphere. This information can be used to understand the impacts of ocean acidification on marine ecosystems and to take action to protect them.
Ocean Current and Temperature Monitoring
Real-time ocean current and temperature monitoring can provide critical data on ocean conditions to support a range of activities, including shipping, fishing, and offshore renewable energy production. These systems can be deployed on a variety of platforms, including buoys, ships, and drones, providing real-time data on conditions that can impact operations and Safety.
Air Quality & Pollution
Air quality has become a significant concern in today's urban areas. With a rising population, increased industrialization, and transportation, the air we breathe can be contaminated with various pollutants, including particulate matter, nitrogen oxides, sulfur oxides, and greenhouse gases. This leads to negative impacts on human health, the environment, and climate change.
To address this issue, smart cities have implemented real-time monitoring and management systems to continuously monitor and manage the air quality in their urban areas. These systems use a variety of technologies, including sensors, actuators, and communication networks, to gather real-time data and make informed decisions to reduce the negative impacts of air pollution on public health and the environment.
Smart City Air Quality Management
This topic refers to the use of technology and real-time data to monitor, analyze and control air pollution in urban areas. It involves the integration of various sensors, IoT devices, and big data analytics to gather information on air quality, including PM2.5, PM10, and CO2 levels. This data is then used to develop actionable insights and inform decision-making to improve air quality. The goal of smart city air quality management is to create healthier, more sustainable and livable urban environments for residents. It also helps in reducing health risks associated with air pollution, improving air quality for the environment and increasing the overall quality of life for citizens.
Air Quality Monitoring in Industrial Areas
By monitoring the air quality in industrial areas, we ensure that the emissions from factories and other industrial facilities are within legal limits. Real-time air quality monitoring can help detect emissions problems early and allow the relevant authorities to take corrective actions before the air quality deteriorates further.
Agricultural Air Quality Monitoring
This use case involves monitoring the air quality in agricultural areas to ensure that the emissions from livestock farms, fertilizer application, and other agricultural activities are within legal limits. Real-time air quality monitoring can help detect emissions problems early and allow farmers to take corrective actions to reduce emissions and protect the air quality in their areas.
Traffic Management based on Air Quality
Real-time air quality data can help to optimize traffic management systems and reduce emissions. For example, the data can be used to re-route traffic away from heavily polluted areas or to adjust the speed limits of vehicles to reduce emissions. The monitoring can also include analysis of the air quality in and around public places: Schools, hospitals or transportation hubs, such as airports and train stations, to reduce exposure to harmful pollutants.
Many Industrial products have Safety requirements according to IEC 61508. PikeOS is the best certification solution for three reasons: small size, criticality partitioning, and unparalleled company support for the certification process.
The PikeOS partitioning concept makes it possible for applications of various levels of criticality to be certified for their individual required Safety levels while running securely in parallel on the same hardware platform. Even more important for certification is a competent and reliable partner who does not leave you in a tight spot when it comes to documentation, requirements and tests.
The PikeOS separation kernel itself is small in terms of implementation and its little number of system calls allows comprehensive evaluation and validation. As a matter of fact, PikeOS 5.1.3 (x86 64-bit, ARMv8, PowerPC) has passed the Common Criteria EAL5+ certification.
Extreme Flexibility provides Independence from Suppliers in Hardware and Software Choice
PikeOS supports a broad range of hardware architectures and provides interfaces for a wide array of guest OSs. It is easy to add additional architectures and interfaces (including for legacy code) and therefore to manage hardware obsolescence.
Partitioning provides the Basis for a pragmatic Linux Strategy
PikeOS offers an integrated Linux guest operating system to include Linux or other open-source features like network, GUI or web server. Your own intellectual properties, real-time functions and safety-critical applications run in separate partitions.
Integrated Safety reduces Certification Cost
Applications of various levels of criticality and Security are safely separated from one another in distinct partitions and certified separately.
SYSGO supports its customers with own resources, engineers, workshops and trainings, as well as with artefacts and provision of source code.