QPIC-based HMI simulation and automatic verification method realized

Abstract

The invention discloses a QPIC-based HMI simulation and automatic verification method, which comprises the following steps: 1, recording display material information into a QNX system in advance in an off-line manner before verification, generating a display element list configuration file, reading the configuration file after a SymbolManager module is electrified, and caching the configuration file in a memory for later use; 2, when the HMI rendering process starts a certain function, calling a monitoring result by an automatic test program, comparing a returned result with a pre-offline calculation value by utilizing a hardware CRC check, if the values are the same, representing that the check is passed, enabling the display to be correct, and if the values are different, representing that the display does not accord with the expectation; and 3, monitoring the sent test result through the LogManager module and writing the test result into a file. According to the design, the project cost can be saved to the greatest extent.

Description

technical field [0001] The invention relates to the technical field of full liquid crystal instruments, in particular to a QPIC-based HMI simulation and automatic verification method. Background technique [0002] With the rapid development of automotive electronics intelligence, mechanical instruments or combination instruments can no longer meet the user experience requirements, and full LCD instruments have occupied most of the high-end market. Under the trend of intelligence, full LCD instruments are becoming more and more popular and Importantly, what directly interacts with users is the display of the HMI interface of the full LCD instrument. Currently, users are more inclined to cool screens similar to games. The testing and verification work has caused huge challenges. The testing and verification of the HMI interface is the last line of defense for the HMI design, and it is also the greatest guarantee to restore the original design of the designer to the greatest ex...

AI Technical Summary

Problems solved by technology

[0002] With the rapid development of automotive electronics intelligence, mechanical instruments or combination instruments can no longer meet the user experience requirements, and full LCD instruments have occupied most of the high-end market. Under the trend of intelligence, full LCD instruments are becoming more and more popular and Importantly, what directly interacts with users is the display of the HMI interface of the full LCD instrument. Currently, users are more inclined to cool screens similar to games. The testing and verification work has caused huge challenges. The testing and verification of the HMI interface is the last line of defense for the HMI design, and it is also the greatest guarantee to restore the original design of the designer to the greatest extent. The color difference or position difference of the display elements will bring bad results to the user. The driving experience will also affect the design intent of the UI designer. There are currently two mainstream HMI testing methods. One is to judge whether the HMI design is correct by comparing the renderings with the naked eye of the test engineer. This is undoubtedly the most inaccurate, because Pixel-level errors or small chromatic aberrations cannot be recognized by the naked eye; another way is to build an automated test bench, input the design renderings of each interface, and then use a high-definition camera to capture the actual displayed interface, and then Image comparison is the current mainstream test method, but the automated test bench solution has the following limitations:

[0003] 1. It is necessary to build an automated test bench, which will occupy a relatively large workstation space and cannot be portable in actual use;

[0004] 2. The automated test bench requires additional hardware costs, and one bench can only test one instrument at a time, which is inefficient;

[0005] 3. The pictures captured by the camera are prone to problems such as interference, error and inaccuracy;

[0006] 4. Compared with manual exploratory random testing, automated testing is relatively rigid and unimaginative

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