Machine vision to solve the difficult problems of solar energy technology

This article mainly introduces how the machine vision solves the difficult problems of the solar energy technology. For example, how to apply it to reduce the damage rate and the difference in the processing of photovoltaic cells, and how to apply it to automatic operation like taking single chip and fixed finished panels for transportation etc., which greatly saves the consumption of manpower and material resources.

Solar energy refers to the radiant energy of the sun. With the progress of science and technology, it has been widely used in electricity generation since the new century.Solar power has the advantages of popularization, convenient to use, use for a long time and no pollution, etc., while it has the disadvantages of low efficiency, higher cost etc.Using solar energy to replace coal and oil was first proposed by the United States in 70s of last century.At present, Germany is the leading trend in this area.

We know that the solar battery board is composed of many small photovoltaic cells. The cell processing link needs a lot of manpower, material.After photovoltaic battery processing is completed, it is also required to connect them together.If the battery unit is not properly placed or connected, it will have a direct impact on the operation of solar panels and its efficiency.After the completion of the battery plate production, handling manually of the heavy pieces brings some problems.

In the face of these complicated production process, the disadvantages of high cost and manpower can be well explained.In order to reduce the coat in a certain extent, solar panel maker are increasingly using machine vision technology. They apply it to reduce the damage rate and the difference in the processing of photovoltaic cells and to automatic operation like taking single chip and fixed finished panels for transportation etc., which greatly saves the consumption of manpower and material resources.

Machine vision technology for the inspection of solar panels mainly includes shape inspection such as width, thickness, verticality and warpage etc., appearance inspection such as cracks, perforation, ceramics, line, crystal, chipping and lack of angle etc., electrical performance inspection such as conductive type, resistivity and minority carrier lifetime etc., and impurity inspection such as analysis of impurity oxygen and carbon content etc.Meanwhile, machine vision not only has the advantages of flexibility, high stability and high efficiency, but also can be used to repetitive operation of high accuracy when assembling a single piece of photovoltaic cells as well as locates chips which are running on the conveyor belt or directly involves in the installation process.The advantages of precisely positioning, precise inspection and precise assembly make machine vision technology be able to effectively reduce costs, improve production efficiency and increase the stability of the quality.