Vpw analyzer - A visual J1850 VPW analyzer written in Python

Last update: May 01, 2022

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Overview

VPW Analyzer

A visual J1850 VPW analyzer written in Python

Requires Tkinter, Pandas, serial, and Python3 These can be installed with pip or a package manager.

pip3 install tk pandas serial

Running the program is as simple as pointing the python3 executable to the vpw_analyzer.py file with

python3 vpw_analyzer.py

How to use

Any ELM327 device should be compatible with this, as it uses only basic AT commands to listen to the bus.

You need to enter the serial port into the "OBD Device Serial Port" box. For Windows, this is typically a "COM1" name. Check device manager to get the actual COM port. For Linux, you need to specify the full /dev/tty device path. Once the serial device is entered, press the "Read" button to connect and begin listening to the bus.

There are 2 boxes in main window. The bottom box shows the messages that were received in order. The top box shows unique messages. For example, if duplicate messages are received, then you would see it twice in the bottom box, but only once in the top box. By changing the "Compare First # Bytes" dropdown changes how many bytes of a data payload are compared to determine if a message is unique or not. Most data responses contain 2 bytes that are an acknowledgement and an ID confirmation.

Known Issues

Sending messages does not work
Exiting software crashes it

Comments

ELM commands are not verified

Right now, the software opens the port and sends off commands. Sleep delays help with higher latency connections. Need to write functions to check the response from these requests to improve responsiveness and do some error checking
enhancement

opened by jonofmac 1
Stability bug fixes and OBD configuration improvements

Software now checks output of device before sending more commands. Also adds some error checking Some device verification is done. Graceful shutdowns are now possible

opened by jonofmac 0
Sending messages is broken
Currently vpw_analyzer does not have the ability to send messages.

This is primarily due to the fact that the ELM327 command set does not allow a graceful way to send a message without risking losing a message incoming.

The basic process to send a message while datalogging with a ELM327 device is this:

Configure device

Enter AT MA (monitor all) mode to see all bus traffic (vpw_analyzer's primary mode)

Cancel AT MA mode

Configure desired headers

Send message

Device waits some amount of time to see if it gets a response to the specified headers (ignoring other traffic)

Enter AT MA mode to continue seeing messages

Steps 3-6 mean that there's a window of time that messages can (and most probably will) be dropped. This is an inherent weakness with the standard ELM327 commands.

Some more advanced devices (OBDX VT Pro) offer additional modes to allow transmission while receiving messages. The decision needs to be made to support both modes or only the safer OBDX modes.
enhancement
opened by jonofmac 0
Replace direct function calls to UI thread with a queue

Right now the forked thread directly calls the UI thread's functions. Normally this would cause issues, but somehow it works in python... The correct way would be to use a queue to safely pass data between the threads. This should also improve performance.
bug enhancement

opened by jonofmac 0
Message numbers incorrectly tagged

Seems to be an issue where duplicate messages are not always properly getting recognized as duplicates or the message pointer from the summary to the message ID field is incorrect.
bug

opened by jonofmac 0
Crashes when closed

Trying to close the script often times causes the program to crash or hang.

I believe this is due to the serial thread not receiving the command to close and causing a hang-up.
bug

opened by jonofmac 2

Releases(v0.2)

v0.2(Feb 1, 2022)
Version 0.2 fixes the following bugs

[x] Fixed shutdown issue caused by hanging thread

[x] Responses from OBD device are verified now before sending additional commands. Should fix issues with communication

[x] Added some OBD device checking (STN, OBDX, and generic ELM checking)

What's Changed

Dev by @jonofmac in https://github.com/jonofmac/vpw_analyzer/pull/5

New Contributors

@jonofmac made their first contribution in https://github.com/jonofmac/vpw_analyzer/pull/5

Full Changelog: https://github.com/jonofmac/vpw_analyzer/compare/v0.1...v0.2
Source code(tar.gz)
Source code(zip)
v0.1(Jan 26, 2022)

Has lots of bugs, but works mostly
Source code(tar.gz)
Source code(zip)

Owner

GitHub Repository

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Vpw analyzer - A visual J1850 VPW analyzer written in Python

Related tags

Overview

VPW Analyzer

How to use

Known Issues

Comments

ELM commands are not verified

Stability bug fixes and OBD configuration improvements

Sending messages is broken

Replace direct function calls to UI thread with a queue

Message numbers incorrectly tagged

Crashes when closed

Releases(v0.2)

v0.2(Feb 1, 2022)

What's Changed

New Contributors

v0.1(Jan 26, 2022)

Owner

[CVPR 2021] MiVOS - Mask Propagation module. Reproduced STM (and better) with training code :star2:. Semi-supervised video object segmentation evaluation.

Official implementation of "Learning Forward Dynamics Model and Informed Trajectory Sampler for Safe Quadruped Navigation" (RSS 2022)

Self-Supervised Pre-Training for Transformer-Based Person Re-Identification

Code for the Weighted, Accelerated and Restarted Primal-dual algorithm. This algorithm achieves stable linear convergence for reconstruction from undersampled noisy measurements under an approximate sharpness condition. See the paper for details.

Model search is a framework that implements AutoML algorithms for model architecture search at scale

Selective Wavelet Attention Learning for Single Image Deraining

Fully Convlutional Neural Networks for state-of-the-art time series classification

An updated version of virtual model making

A Python framework for conversational search

Official PyTorch Code of GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection (CVPR 2021)

This repo contains the code required to train the multivariate time-series Transformer.

This is the official Pytorch implementation of the paper "Diverse Motion Stylization for Multiple Style Domains via Spatial-Temporal Graph-Based Generative Model"

PEPit is a package enabling computer-assisted worst-case analyses of first-order optimization methods.

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Zero-Cost Proxies for Lightweight NAS

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