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Fault risk assessment method of heavy-type roller loading intelligent robot

A technology of intelligent robots and failure risks, applied in the direction of instruments, data processing applications, resources, etc., can solve problems such as increasing maintenance costs, achieve the effect of reducing costs and improving work efficiency

Inactive Publication Date: 2017-11-07
UNIV OF SHANGHAI FOR SCI & TECH
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Problems solved by technology

Therefore, the requirements for the reliability of robotic equipment are getting higher and higher, and the traditional post-processing mode of equipment failure can no longer meet the requirements of industrial robots, and virtually increases maintenance costs

Method used

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  • Fault risk assessment method of heavy-type roller loading intelligent robot
  • Fault risk assessment method of heavy-type roller loading intelligent robot
  • Fault risk assessment method of heavy-type roller loading intelligent robot

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Embodiment Construction

[0027] The patent of the present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0028] Such as figure 1 As shown, the present invention provides a fault risk assessment method loaded with intelligent robots, which mainly includes three modules of fault diagnosis, risk assessment and accident prediction, as well as historical data. Analyze the real-time data of the equipment sensors on the intelligent robot, calculate the parameters to measure the dynamic trend of the data, the data deviation and its rate of change, and diagnose whether there is any abnormality in the data, and then calculate the corresponding risk value caused by the potential failure according to the dynamic trend parameters of the data , and then divide the corresponding risk level. If the risk exceeds the safety level, an emergency stop signal is sent, and the type of accident caused by the potential failure is estimated, and the staff is ...

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Abstract

The invention relates to a fault risk assessment method of a heavy-type roller loading intelligent robot. The method is characterized by analyzing real-time data of a robot equipment sensor; calculating an identification data trend parameter; diagnosing whether data is abnormal and distinguishing a latent fault; according to the data dynamic trend parameter, an equipment importance degree and equipment frangibility, calculating a corresponding risk value caused by the latent fault; dividing a corresponding risk grade; if a risk exceeds a safety grade, sending an emergent stop signal; and synthetically pre-estimating an accident type caused by the latent fault and notifying work personnel to carry out maintenance. In the invention, according to a data value deviation trend, a generation probability of the risk is calculated; through combining the equipment importance degree and the frangibility, a risk influence is acquired so as to calculate a total risk value of the robot and pre-estimate the accident type of the risk; before the fault is generated, existence of the fault can be detected, a dynamical risk direction is known, a purpose of effectively reducing economic and time cost is reached, and work efficiency of the robot is increased.

Description

technical field [0001] The invention relates to a fault risk assessment method for a loading intelligent robot, in particular to a fault risk assessment method for a loading intelligent robot, and belongs to the technical field of loading intelligent robots. Background technique [0002] At present, with the development of science and technology, industrial construction is developing in a faster, more convenient, intelligent and modern direction. At home and abroad, intelligent robots are used for heavy-duty roll loading to improve industrial speed and efficiency and reduce the danger of jobs. Therefore, the requirements for the reliability of robotic equipment are getting higher and higher, and the traditional post-processing mode of equipment failure can no longer meet the requirements of industrial robots, and virtually increases the maintenance cost. Fault risk assessment can discover the abnormality of equipment data in advance before equipment failure, and make corres...

Claims

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Application Information

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IPC IPC(8): G06Q10/00G06Q10/06
CPCG06Q10/0635G06Q10/0639G06Q10/20
Inventor 柯文俊邬春学吴警
Owner UNIV OF SHANGHAI FOR SCI & TECH
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