Tip 1 – Start with the bus stuff
As a first step, the engineer should use the method of first interfacing the sensor to constrain the ignorance through a bus thing. A bus connects a personal computer (PC) 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 and job history. In the context of the bus stuff, developers can send and receive audio to get an idea of how that part works, before attempting to operate at the embedded level.
Tip 2 – Write the transport interface code in Python
Once the developer has tried to use the bus stuff for the sensor, the next step is to write the code for the sensor. Instead of jumping directly to the microcontroller code, I write the application code in Python. Many bus stuff in writing scripts comes with plug-ins and model code, and Python is usually one of the languages available with .NET. Writing an application in Python is quick and easy, and provides a way to test sensors in the application without the clutter of testing in an embedded environment. Having a high level of code will make it easy for non-embedded engineers to discover sensor scripts and tests without the need for an embedded software engineer.
Tip 3 – Test the sensor with Micro Python
One of the advantages of writing the first paragraph of 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 simple, but there is no need to write I2C or SPI drivers here, as they are already included in the Micro Python library. (More details can be found on the EDN website in the articles Using Micro Python for real-time software development or 5 Advantages of using Micro Python for Embedded Software Programming.) )
Tip 4 – Use the sensor vendor code
Any model code that can be "scoured" from a sensor manufacturer would take an engineer 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 find a beautiful architecture and elegant example ready for production. Just use the vendor code and learn how this part works, and then the frustration of refactoring will set up until it can be neatly integrated into the embedded software. It may be as preliminary as "spaghetti in Italy", but using the manufacturer's understanding of how its sensors work will help cut a lot of ruined weekends before the product is launched.
Tip 5 – Use a sensor fusion library
Chances are, the sensor's interface isn't too new, and no one has done it before. All known libraries, such as the "sensor fusion libraries" provided by many chip manufacturers, help developers get to grips quickly, and even better, and avoid falling into the cycle of redeveloping 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 ubiquitously or rarely reusable. Look for these sensor fusion libraries and learn about their advantages and disadvantages.
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Sensor selection
The company is a company focusing on the development of mechanical motion control and sensing skills, and its products have the characteristics of high reliability, high accuracy and high protection, and play an irreplaceable role in the process of industrial production and mechanical manufacturing.
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