Stacking robot predictive maintenance method
A palletizing robot and predictive technology, applied to instruments, manipulators, image data processing, etc., can solve problems such as high labor costs, strong subjectivity, and influence on maintenance effects, and achieve the effect of overcoming strong subjectivity
Active Publication Date: 2020-01-17
CHANGZHOU INST OF MECHATRONIC TECH
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Problems solved by technology
Some applications rely on experienced workers for predictive maintenance, which is highly subjective, and the maintenance effect is greatly affected by the experience of the maintenance personnel, which consumes high labor costs
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specific Embodiment 1
[0053] according to figure 1 As shown, the present invention provides a method for predictive maintenance of a palletizing robot, a method for predictive maintenance of a palletizing robot, comprising the following steps:
[0054] Step 1: Collect the image signal of the palletizing robot through the camera, convert the format of the image signal to the image data and save it, and upload the image data to the cloud server at the same time; perform filter preprocessing on the image data, and filter the preprocessed image data Perform target detection and perform morphological processing;
[0055] The step 1 is specifically:
[0056] Step 1.1: collect the image signal of the palletizing robot through the camera, convert the image signal into RGB image data, save the RGB image data in the memory, and upload the image data to the cloud server at the same time;
[0057] Step 1.2: Preprocessing the RGB image data stored in the memory with a Gaussian filter to suppress noise in the ...
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The invention relates to a stacking robot predictive maintenance method. The method includes the steps that an image signal of a stacking robot is collected through a camera, the image signal is formatted and converted into image data, and the image data are saved and uploaded to a cloud server; the image data are subjected to filtering preprocessing, and the filtered image data are subjected to target detection and morphological processing; the coordinates of an article grabbed by the stacking robot are acquired, and a comprehensive motion speed deviation of a servo motor of the stacking robot is determined; a stacking robot fault parameter vector is determined according to the motion speed deviation of the servo motor of the stacking robot; a coefficient vector and a loss function are established, the loss function is iterated by adopting a gradient descent method, and the loss function is minimized; and predictive maintenance is carried out according to the minimized loss function.
Description
technical field [0001] The invention relates to the technical field of predictive maintenance of palletizing robots, and relates to a method for predictive maintenance of palletizing robots. Background technique [0002] Palletizing robots are more and more widely used in the fields of packaging, logistics and automation. Once the palletizing robot fails, its electromechanical system failure is not easy to be located, which not only brings certain difficulties to workers' maintenance, but also greatly affects the production schedule and production efficiency. [0003] Most palletizing robot applications today do not have predictive maintenance. Some applications rely on experienced workers for predictive maintenance, which is highly subjective, and the maintenance effect is greatly affected by the experience of the maintenance personnel, which consumes high labor costs. [0004] According to the historical data of the operation and failure of the palletizing robot, the ope...
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IPC IPC(8): B25J19/00G06T5/00
CPCB25J19/0066G06T5/92
Inventor 乔宏哲陶国正
Owner CHANGZHOU INST OF MECHATRONIC TECH