1. Start with the bus east and west
As a first step, the engineer should take the approach of first interfacing the sensor, which is through a bus stuff to constrain the ignorance. A bus connects to a personal computer (PC) and then to the sensor's I2C, SPI, or other protocol that allows the sensor to "speak". The PC application associated with the bus stuff provides an embedded microcontroller (MCU) driver that is not known and uncertified to send and receive data from a known job history. In the context of the bus stuff, developers are able to send and receive messages to get an idea of how that part works, before attempting to operate at the embedded level.
2. Write the transmission interface code in Python
Once the developer has tested the sensors that use the bus stuff, the next step is to write the code for the sensors. Instead of jumping directly to the microcontroller code, I write the application code in Python. A lot of bus stuff is equipped with plug-ins and canons for writing scripts, and Python is usually one of the languages available in .NET. Writing an application in Python is quick and simple, and provides a way to test sensors in the application without the clutter of testing in an embedded environment. Having a high-level code will make it easy for non-embedded engineers to discover sensor scripts and tests without the need for an embedded software engineer.
3. Test the sensor with Micro Python
One of the advantages of writing the first paragraph of the application code in Python is that it can be easily replaced by calling Micro Python and using the program programming interface (API). Micro Python runs on a Cortex-M4 processor and is a great environment to debug the code of applications with a number of sensors that engineers can use to understand the value of the real-time embedded software. Not only is it brief, but there is no need to write I2C or SPI drivers here, as they are already included in the Micro Python library.
4. Use the sensor supplier code
Any model code that can be "scavenged" from a sensor manufacturer requires an engineer to go a long way to understand how the sensor works. Unfortunately, many sensor vendors are not experts in embedded software design, so don't wait to discover a beautiful architecture and elegant example that can be put into production. Just use the vendor code, learn how this part works, and then the frustration of refactoring will present until it can be cleanly integrated into the embedded software. It may start like "spaghetti in Italy", but using manufacturers' knowledge of how their sensors work will help reduce many of the weekends that have to be destroyed before the product is launched.
5. Use a sensor fusion library
Chances are, the sensor's transmission interface isn't too new, and no one has done it before. All known libraries, such as the "sensor convergence library" provided by many chip manufacturers, can help developers get to grips quickly, or even better, and avoid falling into the cycle of developing from scratch or overhauling the product architecture. Many sensors can be integrated into generic types or classes that will allow drivers to be developed smoothly and, if handled properly, almost universally or rarely reproducible. Look for these sensor convergence libraries and learn their strengths and weaknesses.
When sensors are integrated into embedded architectures, there are many ways to improve design timeliness and ease of use. Developers who start their design with a high-level abstraction and learn how the sensor works before integrating it into a lower-level system will certainly not "go the wrong way". There are many resources that exist today that will help developers "get off to the ground" without having to start from scratch.
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