A remote diagnosis system and method for measuring instruments

Abstract

The invention provides a remote diagnosis system for measuring instruments, which includes: a diagnosis and repair layer, a user interface layer, a data processing layer, a local control layer, and a bottom hardware layer; the data acquisition module of the bottom hardware layer collects diagnostic data, and the diagnostic system receives the diagnostic data. After the collected raw data, the fault diagnosis model is called to carry out qualitative and quantitative analysis procedures, and the analysis results are stored in the user interface layer. The diagnosis result is displayed through the user interface layer; for the repairable fault, the remote diagnosis and repair module sends the program control command, and through the analysis and transmission of the program control command, sets the hardware and software status and repairs the fault.

Description

technical field [0001] The invention relates to the field of electronic measuring instruments, in particular to a remote diagnosis system and a diagnosis method for measuring instruments. Background technique [0002] With the development of measurement technology, the functions of measuring instruments are becoming more and more complex, integrating various advanced electronic technologies, and measuring instruments are characterized by dispersion, movement and complex functions, which makes the fault diagnosis and state detection of measuring instruments problematic. Increasingly prominent, the task is becoming more and more difficult. In the traditional way, when the measuring instrument breaks down, it is necessary to rely on technicians to communicate on-site to realize the fault diagnosis of the measuring instrument. This method requires a lot of manpower, material resources and time costs for both users and technicians. [0003] In the existing methods, for example, ...

AI Technical Summary

Problems solved by technology

In the traditional diagnosis method, the entire measuring instrument group is viewed independently. When a measuring instrument fails, the failure is judged one by one by an independent single instrument. This method does not take into account the combination relationship between various measuring instruments. Because in many cases, when the failure of one measuring instrument will affect other measuring instruments

In the traditional way, the fault diagnosis of remote measuring instruments is limited to a single measuring instrument, but when the measuring instruments are a cluster, there is nothing to do

[0007] For example, in some cases, when the working state of the measuring instrument changes, but the cause of the abnormal state cannot be found through the local diagnostic state, in this case, it is generally due to the poor coordination between the functional modules of the circuit boards It is usually caused by the maintenance personnel coming to the scene and judging the cause of the failure of the measuring instrument through experience. If the maintenance personnel are inexperienced, they may not even be able to solve the problem. In this case, it will cause a huge waste of manpower and time.

[0008] On the other hand, from the perspective of software development, in the development of the software of the existing diagnostic system, with the increase of functions, the business logic code of the software will inevitably be entangled. The traditional object-oriented programming method, although It can improve the modularity of the program and reduce the complexity of the software, but it is also difficult to solve the problems of code dispersion and code entanglement

In this case, there is no unified platform standard for software, and software developed by different departments and different R&D platforms cannot be integrated together, resulting in huge waste of manpower and material resources

[0009] For the display of the working state of the instrument, the existing method generally reads the fault status code of the measuring instrument, and displays the corresponding fault content and possible causes of the fault, and expresses it through an error code and a description of the cause of the error. The disadvantage of the description method is that the description of the cause of the fault is not intuitive enough. For example, when the measuring instrument fails, the fault cause of the instrument cannot be judged only by the fault status code on the surface.

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