Revolution brought by Embedded Systems with Data Analytics. It is a combination of the electronic system. The whole assembly is orderly or informal which is basically depending on its given applications. This advancement set a world in a state of great transformation applications. Basic description of embedded system says it is a way or work, to plan, to do one or more functions as defined in the set of rules. In a set of rules is nothing but a written plan a specific system that makes all units come together again work together. The embedded system has its various widths applications from home peripherals in some important defenses as well. Medical, genetics, production, entertainment, visual acuity, location science, bio informative, etc. are the latest fields they have launched the advent of the embedded system of improved in their normal activities. These are embedded the systems can be a microprocessor based like that as we can get it by fully working. Some of the hidden benefits of embedded system do it is very attractive in any fields. The information is famine due to big data and such an automatic the systems prove to be very important as well successfully in data collection.
Table of Contents
Embedded structure is the foundation of electrical industry. Embedded structures are made for a special reasons. Embedded structure is an integrated machine hardware and software. On the basis system you need microprocessors. A highly embedded system divided into 2 main parts.
Based on performance and functional Requirements
Based on performance and operational requirements which moreover it is divided into four types as real time, private, network and mobile. Based on time or deadline system, digital camera, wireless MP3 is an example of performance and an integrated operating system.
Based on performance of microcontroller
Based on the performance of a small controller can be divided into three types called small scale, medium scale and a sophisticated embedded system. Controller, temperature measurement system, ATMs etc. are an example of microcontroller.
Problems encountered by embedded system developers
To work with an embedded system, the user may need different set of skills and an even more reciprocal approach toward the evolution of the system. The development of embedded systems is not as simple and straightforward as the development of regular computer programs. Testing an embedded system, for example, necessitates a completely different approach than testing a simple software-based computer system.
It as specific way of analyzing the data and produce the resultant data from it. There are four types of it as follows :
Descriptive analysis is a analytical summary of green statistics. It is usually used to identify a particular design from previous statistics. Create a pattern of better hopes too new decision-making policies.
Diagnostic statistics are to obtain accurate information provided problem. It gives the end of the problem from where it started with detailed description.
Predictability statistics provide predictions based on obtained statistics. This analysis is used to predict accurate time of the event to take place. Forecasting statistics is the base of all speculative models.
It is used to take the best possible actions using the provided results and obtain the best results.
Perspective analytics is used to show the optimum course of action from the various options available.
ANALYTICS DRIVEN EMBDDED SYSTEM – APPLICATION AREA
A large amount of data can be generated by an embedded system. These data can be demonstrated crucial for the improvement of any firm because they can be used to generate intelligent products or product services.
The performance of a particular system can be described and predicted using analytics.
These insights can also be utilized to automate decisions and procedures.
The figure below clearly explains data analytics for embedded systems. For embedded systems that create useful data, a trained model is available. It begins when data is loaded into the system and doesn’t stop there. It starts after the data has been loaded into the system. After applying some preprocessing and algorithms to the data, a trained model will be created. By adding the prediction, the same process as for the trained model is applied to the predicted model.
Before understanding what Revolution is brought by Embedded Systems with Data Analytics, lets see the previous work done.
- Engineers explored IORT and robotics applications in several fields. The writers researched robotics on the internet and proposed a design. In the IORT, it illustrates the necessity of fog and edge computing.
- Engineers devised a model that can detect fire dangers and provide location information to the nearest fire station. The authors debated which circuit and sensor work flow were employed to create the model.
- Engineers talked about how the Internet of Things can be utilized to monitor safety and fire. The authors of this article discuss the advantages and disadvantages of both wireless and wired safety systems.
- Engineers explored the use of robots and drones in modern farming. An article gives examples of several robots such as sweeper, bonirob, and others that can play a significant part in agriculture.
- Engineers described how to combine a traditional system used for grass cutting, weeding, and other tasks with a GPS-based system to make it more effective and efficient, albeit at a cost.
APPLICATIONS OF EMBEDDED AND IoT SYSTEM
Embedded System in the field of healthcare
In the healthcare industry, embedded and IoT technologies play a critical role. People utilize these gadgets in areas where access to doctors is limited due to remote locations. Recent advances in medical robotics have opened up a wide range of robotics applications. It came out with a novel method and particularly configured robots for use in surgery.
Embedded System in the field of agriculture
Embedded system advancements have resulted in embedded devices that can be used in the agricultural field to reduce farmer work.
The machines are used by Famer for weeding, grass cutting, planting, and other tasks. To collect fruits and vegetables. Devices must be able to identify objects and behave in accordance with the intelligence offered by humans.
Embedded System in the field of education
Education and embedded systems: Because such embedded devices are light in weight, inexpensive in cost compact in size, and consumption of power, they can be used in the education field. These devices will provide methods for enhance and process improvement on numerous educational platforms. Attendance systems, simulators, and emulators are examples of embedded systems that are popular in education right now. Pupils begin learning embedded systems in school.
Embedded system for national security
The embedded system is an integral part of the military or defense of any country. Embedded system is just as important as power tools. Embedded systems such as drone, mining discovery, and much more.
Embedded system in Industries
Many industries use embedded systems for production, testing, and security management. The embedded system makes the job easier for the industry. Automatically make the production machine make fast production and packaging.
Embedded System in home automation
The home is neighboring by an embedded structure, which makes it Homeowners work easier and time saver. Case like home-mounted automatic transmission systems are a washing machine, microwave, fan, house cleaning robots etc.
Industries have evolved toward automated quality manufacturing in this era, however there remains a lack of safety. Embedded systems are found in almost every industry. In this study, an embedded system with one microcontroller and sensors such as a flame sensor, gas sensor, wind sensor and temperature sensor is proposed. Figure below shows the suggested system.
Wind sensor, temperature sensor, gas sensor, 16X2 LCD display, buzzer, and online storage are all built into a microcontroller. The temperature and gas level in the atmosphere are sensed by temperature and gas sensor. At the time of development, the user defined a temperature and gas level limit; if the sensor detects a temperature or gas level above that level, the system will notify the people via a buzzer.
The direction of escape is determined by the wind sensor and displayed on the LCD. Temperature, wind, and gas sensor data will be stored on the cloud using the internet at regular intervals. By storing raw sensor data on the cloud, data analytics can be used to derive some useful information.
As a result of this work, future uses and influences of embedded systems can be imagined. The paper intends to expand on this research of embedded systems in manufacturing industries by using data analytics extensively. It has covered the present and future of embedded systems, as well as the principles of data analytics in the second part. Because data is taken automatically, the data created by embedded systems is believed to be in a more pure form with less likelihood of inaccuracy. As data is gathered by machines and end-to-end procedures are implemented, data speed will be extremely fast. If captured by a well-designed and intelligent embedded system, this massive volume of data can be proven to be a crucial input for data analytics.
Also read here
- what are the practical applications of embedded systems?
- what are the challenges in embedded systems design?