System and method for acquiring instrumentation and equipment information based on computer vision

Abstract

The invention discloses a system and a method for acquiring instrumentation and equipment information based on computer vision. The system comprises field monitoring equipment, a communication network and a background system, wherein the field monitoring equipment comprises an image acquisition module, a processor module, a first communication module, an equipment control module and a power supply module; the processor module is connected with the image acquisition module, the equipment control module and the first communication module respectively; the background system comprises a data interaction control module, an image information identification and extraction module, a database module, a second communication module and a man-machine interaction operation module; the data interaction control module is connected with the image information identification and extraction module, the database module, the second communication module and the man-machine interaction operation module respectively; the second communication module is connected with the first communication module by a communication network and encryption communication is realized. The system and the method have high automation degree, rapid responding speed and low monitoring cost, and can be widely applied to the field of acquisition and control of data state information of instrumentations.

Description

technical field [0001] The invention relates to the field of computer vision analysis, in particular to a computer vision-based system and method for collecting instrumentation equipment information. Background technique [0002] At present, there are many technologies for data acquisition of various field instruments, including field bus, digital and analog acquisition technology, character code and pointer recognition technology, image monitoring and recognition technology, etc., but these technologies have certain limitations. Characteristics: First, fieldbus, digital and analog acquisition technologies basically require the installation of related electronic sensors such as pressure transmitters and electronic temperature sensors on field devices to achieve digital or analog acquisition. Electronic sensor equipment will not be available on site; secondly, the existing character code recognition technology and dial pointer recognition equipment can only recognize the digi...

AI Technical Summary

Problems solved by technology

[0002] At present, there are many technologies for data acquisition of various field instruments, including field bus, digital and analog acquisition technology, character code and pointer recognition technology, image monitoring and recognition technology, etc., but these technologies have certain limitations. Characteristics: First, fieldbus, digital and analog acquisition technologies basically require the installation of related electronic sensors such as pressure transmitters and electronic temperature sensors on field devices to achieve digital or analog acquisition. Electronic sensor equipment will not be available on site; secondly, the existing character code recognition technology and dial pointer recognition equipment can only recognize the digital character code and pointer readings of a certain type of equipment, and cannot support the reading recognition of multiple instrument equipment at the same time. It is also impossible to monitor the non-reading status information of the equipment; thirdly, the existing image monitoring and recognition technology relies on multiple image acquisition cameras to monitor and identify the target at a fixed position, which leads to inflexible image acquisition, and also leads to increased costs and installation costs. Trouble and other problems, not to mention flexible monitoring of the overall situation on the site in a wide range and from multiple angles, and identification and analysis of status readings of multi-target objects

In general, the current data acquisition technology for instrumentation equipment has problems such as high cost, low degree of automation, and slow response speed.

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