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This invention discloses a method for assessing the technical condition of highway bridges based on matrix operations, belonging to the fields of bridge engineering and computer application technology. Based on a four-level hierarchical assessment system, this invention constructs a matrix operation model framework. Through complete matrix chain operations—creating an initial matrix, a defect scaling matrix, a deduction matrix, a sorting matrix, an actual deduction matrix, and a component score matrix—it unifies steps such as component defect deduction, the impact of multiple defects, and weight synthesis into a standardized matrix transformation process. Then, it calculates component technical condition scores, constructs component score vectors, and combines weight corrections to calculate structural scores and overall bridge scores. Finally, it determines the bridge's technical condition level by referring to a grading table. This invention transforms the complex assessment process into standardized matrix operations, significantly improving assessment efficiency and accuracy, and achieving automation and standardization of the assessment process.

This invention relates to the field of cooking control technology, and discloses a fault diagnosis method, device, gas equipment, and readable storage medium. Applied to gas equipment, the method includes: in response to a triggered ignition operation, acquiring a wind speed signal at the ignition location; when ignition failure is detected, determining whether the wind speed signal is greater than a preset wind speed threshold; if the wind speed signal is greater than the preset wind speed threshold, determining the fault type of the gas equipment as "wind-blown out." This invention, by accurately acquiring the wind speed signal at the ignition location, enables rapid localization of wind-blown faults after ignition failure. It overcomes the limitations of traditional ignition fault diagnosis, which ignores wind speed factors or cannot accurately determine wind-blown out faults. It can clearly identify the root cause of ignition failure due to wind without manual investigation, improving the accuracy and efficiency of wind-blown fault diagnosis. Simultaneously, it reduces the risk of gas leakage caused by repeated ignition due to wind, improving the safety of gas equipment use and user experience.