The Fluke 8050A Multimeter LCD Display Project replaces the display in my Fluke 8050A Desktop DMM with a TFT LCD bitmapped display.

Hardware

The intent of the project is to replace the ancient 4½ digit LCD display on the Fluke 8050A multimeter with an ILI9341 based 320x240 pixel color graphical LCD display. This just about perfectly fits within the cut-out in the front panel of the device where the old 4 digit LCD mounted in a bezel is present. The intent is to both display additional information (such as the mode of the meter - Volts, Amps, Ohms, etc) and larger and easier to read numerical display of the measured values.

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Software

The software running on the STM32F103CBT6 microcontroller on the Maple-Mini clone is the wonderful Mecrisp Forth Interpreter/Compiler that target ARM Cortex-M3 based CPUs. It also uses FORTH software libraries from JeeLabs which have been modified in some cases to improve performance and add functionality.

You can find all the FORTH code running on this board at https://github.com/lmamakos/fluke8050a-forth

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Theory of Operation

Some excerpts from the Fluke 8050A manual are included below. The first is high-level overview of some of the function components, starting with the signal inputs at the left, finally resulting in a value being displayed at the right.

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STM32F103CBT6 I/O pin assignments

Capture all the connectivity and I/O pin resource assignment here for the STM32F103CBT6 "Maple Mini" clone board.

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I'm giving a quick talk at $WORK about the genmon raspberry pi project I'm working on, and the scope of that project. Ideally, this will go from problem statement, circuit design, schematic capture, board layout, PCB fabrication and construction. In 20 minutes!

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There's been a whole lot of information, good and bad circulating on the COVID-19 virus and what to do about it. I've found some useful resources that you might also find helpful as well. I have tried to include references where possible regarding the sources of information and if you can trust them. I'm confident these data are more useful and accurate than random re-posting on Facebook or other social media.

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