Electric energy meter sample appearance and PCB element detection method

Abstract

The invention discloses an electric energy meter sample appearance and PCB element detection method, and belongs to the technical field of electric energy meter image management and application. The method comprises the following steps: S1, establishing a standard element characteristic database, and obtaining front-surface, side-surface and reverse-surface to-be-detected images of a PCB; S2, performing detection preprocessing, establishing a background difference, and carrying out such processing as correcting, splicing and segmenting on detected images; S3, carrying out detection area analyzing on the processed images, and determining an element area or a solder point and circuit area, or a character and other area exists on the PCB; S4, carrying out image characteristic matching, in case of image matching success, performing element identification processing, in case of characteristic matching failure, determining whether image detection goes beyond a boundary, if not, performing local area search on patterns, and returning and continuously executing the element area detection step; and S5, generating a detection form. The electric energy meter detection method provided by the invention is novel in design, quite low in cost, high in accuracy, high in detection efficiency and good in detection effect, thereby facilitating popularization and application.

Description

technical field [0001] The invention relates to the technical field of electric energy meter image management and application, in particular to a method for detecting the appearance of electric energy meter samples and PCB board components. Background technique [0002] The energy meter is an important basic equipment for smart grid data collection. It undertakes the tasks of raw energy data collection, measurement and transmission. It is the basis for information integration, analysis and optimization, and information presentation. row, and enhance the stability of the power system. At present, my country's smart grid has entered the stage of comprehensive construction, which has created a huge market demand for smart meters. [0003] The printed circuit board is the core component of the smart energy meter and the matrix that carries various electronic components. Each energy meter has a PCB and a large number of components, such as CPU chips, clock batteries, crystal o...

AI Technical Summary

Problems solved by technology

In the current inspection, most of them are still using manual inspection. The inspectors use magnifying glass and other tools to compare the circuit board of the electric meter. The detection methods are backward, resulting in a certain degree of misjudgment.

[0007] (2) The singleness of the detection method has caused the detection efficiency to be low

The detection speed is slow, and the inspectors spend a lot of time selecting and comparing each PCB board. The process is very boring and inefficient

[0008] (3) There are few matching points for detection, it is difficult to take into account more detection objects, and it is impossible to determine as many detection points that need to be matched as desired

[0009] (4) The chip shape and position information of the PCB cannot be quantitatively described

In the existing operation, the identification is only carried out by measuring the size and position, etc., and there is a certain error

[0010] (5) Expensive

At present, a foreign AOI detection system is worth hundreds of thousands of dollars, or even millions of dollars, which is extremely expensive, and requires a lot of money for training and maintenance, and has no intellectual property rights yet.

[0011] (6) Most of the PCB inspection machines currently on the market only detect bare boards, and the detection objects are circuits and solder joints. The detection accuracy is high, and components on one side of the PCB board can be detected, but only for common capacitors and resistors. Contrast detection and identification of shapes and colors for components such as

For the text, letters and barcodes on the components, the detection effect is not ideal, and the detection efficiency is low

[0012] (6) The detection of the appearance of the electric energy meter is rare

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