Power distribution cabinet coulombmeter automatic identification device and identification method based on image processing

Abstract

The invention discloses a power distribution cabinet coulombmeter automatic identification device and identification method based on image processing. The device is mainly composed of two parts: a hardware device based on an embedded MCU processor and a FreeRTOS operating system, and a novel straight line segment image detection algorithm program running on the hardware device. Software programs mainly comprise a FreeRTOS operating system and a novel straight line segment image detection algorithm program running on the operating system. Compared with the prior art, the real-time performance and effectiveness of data processing are improved, and meanwhile, in a ubiquitous electric power internet-of-things scene, through high-definition image acquisition and modularized circuit design, two steps of acquisition and image recognition are separated, acquisition is performed at the front end, recognition is performed at the rear end server, therefore, the invention can be applied to the embedded field in a large scale, and meanwhile, in the reading process of the pointer type instrument, operation such as complicated information input is not needed, and the purposes of high automation and high precision are achieved.

Description

technical field [0001] The invention relates to the technical field of automatic reading of electricity meters in distribution networks, in particular to an automatic identification device and identification method for electricity meters in distribution cabinets based on image processing. Background technique [0002] As a traditional pointer instrument, the electricity meter is widely used in distribution network and user side because of its simple structure and convenient value reading. Although currently at the user side level, the energy meter integrates wireless value reading methods based on Lora wireless or power line carrier mode, but in the high and low voltage power distribution cabinet, due to the special environment, the energy meter still uses the traditional Pointer instruments are being calibrated and used, which requires a large number of workers for manual readings. The accuracy of manual readings depends on people's subjective consciousness and is easily a...

AI Technical Summary

Problems solved by technology

From the examples given, the invention uses a combination of multi-core industrial computer and image acquisition card to acquire images. Although it is applicable to the mobile field to a certain extent, the computer overhead is large, and the running speed of the straight line segment acquired by the standard Hough algorithm is slow. , the algorithm cannot be directly applied to the embedded field with slow processor speed and small memory resources. Generally, embedded processors use RISC instructions, and the main frequency is generally between 200 and 800M, and the operating speed is a fraction of that of multi-core industrial computers. One or even one tenth, the memory capacity is even more incomparable. The embedded memory uses SRAM, which generally ranges from tens to hundreds of K, while the general memory of industrial computers uses SDRAM, and the capacity basically starts from 2GB.

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