Method for monitoring abnormal conditions of working region of warehouse logistics robot

A work area, abnormal situation technology, applied in the direction of instruments, image data processing, closed-circuit television systems, etc., can solve the problem of inability to effectively monitor abnormal conditions, and achieve the effect of ensuring normal and efficient operation

Active Publication Date: 2015-07-01
北京市农林科学院信息技术研究中心
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Problems solved by technology

[0005] In view of the defect that the prior art cannot effectively monitor the occurrence of abnormal conditions in the working area that affects th

Method used

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  • Method for monitoring abnormal conditions of working region of warehouse logistics robot
  • Method for monitoring abnormal conditions of working region of warehouse logistics robot
  • Method for monitoring abnormal conditions of working region of warehouse logistics robot

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Embodiment Construction

[0056]The technical solution of the present invention will be further described in detail in conjunction with the accompanying drawings and embodiments.

[0057] figure 1 It shows a schematic flow chart of the method for monitoring the abnormal situation in the working area of ​​the warehousing logistics robot in this embodiment, as shown in figure 1 As shown, a method for monitoring abnormalities in the working area of ​​a warehousing logistics robot provided in this embodiment includes:

[0058] S1. Obtain a real-time monitoring video of the working area of ​​the storage robot, and select multiple frames of first video images from the real-time monitoring video. The working area of ​​the storage robot refers to the movement track area of ​​the storage robot.

[0059] S2. For the first video image of each frame, convert the first video image into a first grayscale video image;

[0060] S3, detecting whether there is a target in the first grayscale video image according to ...

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Abstract

The invention specifically relates to a method for monitoring the abnormal conditions of a working region of a warehouse logistics robot. The method comprises the steps of selecting a first video image from the real-time monitoring videos of the working region of the warehouse logistics robot, converting the first video image into a first gray level video image and preprocessing the first gray level video image, detecting whether an object is present in the first gray level video image according to a pre-constructed background model, determining whether the object is a static object or a movable object if the object is present in the first gray level video image according, and if the object is the static object or the movable object and the personnel has no authority, providing prompting on the abnormal conditions, otherwise not providing prompting on the abnormal conditions. The method is capable of monitoring the working region of the warehouse logistics robot in real time; when the abnormal conditions of the warehouse robot and the working region are founded, prompting is provided on the abnormal conditions immediately; as a result, normal and efficient operation of the warehouse logistics system is guaranteed.

Description

technical field [0001] The invention relates to the technical field of automated warehousing, in particular to a method for monitoring abnormal conditions in a working area of ​​a warehousing logistics robot. Background technique [0002] With the rapid development of e-commerce, logistics distribution presents the characteristics of small delivery units, many varieties, small batches, many batches, and short cycles. How to accurately and quickly realize logistics distribution has become the key to modern e-commerce. Due to the large number and variety of resources that need to be coordinated and dispatched, the traditional manual operation and conveyor-belt warehousing and logistics methods have been difficult to meet the current development needs of e-commerce. The automated warehousing and logistics methods based on mobile robots represented by Amazon's Kiva Systems are being Rise. [0003] The warehousing logistics robot can automatically move the shelves to the front ...

Claims

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Application Information

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IPC IPC(8): G06T7/20H04N7/18
Inventor 王志彬王开义潘守慧王书锋刘忠强杨锋
Owner 北京市农林科学院信息技术研究中心
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