Petrochemical equipment major risk remote diagnosis system and method based on mixed reality

Abstract

The invention discloses a petrochemical equipment major risk remote diagnosis system and method based on mixed reality, wherein the system comprises: a petrochemical equipment recognition module whichis used for receiving the collected image information of a risk site, and recognizing petrochemical equipment in the image information; a mixed reality scene generation module which is used for acquiring static information and dynamic information corresponding to the petrochemical equipment and generating a risk site mixed reality scene according to the image information and the static information and the dynamic information corresponding to the petrochemical equipment; and a remote terminal that is used for receiving the risk site mixed reality scene and displaying the risk site mixed reality scene to remote diagnosis personnel. The problem that multi-dimensional risk information cannot be accurately shared in time, experts must be on site, and the experts are limited by time and space in traditional diagnosis is solved.

Description

technical field [0001] The invention relates to the field of safety risk diagnosis of petrochemical equipment in the petrochemical industry, in particular to a remote diagnosis system and method for major risks of petrochemical equipment based on mixed reality. Background technique [0002] When petrochemical companies face major risks, the traditional method is to form an expert team of the company or invite experts from different companies to come to the equipment site for joint diagnosis, formulate risk reduction and control plans, and guide the entire risk diagnosis and disposal process on site. The current traditional risk diagnosis techniques and methods have the following problems: (1) The multi-dimensional information (such as: alarms, historical accidents / events, maintenance records, design parameters, operation / operating parameters, fault locations, etc.) Accurate sharing requires a certain amount of time to collate, and there is a lack of means to fully understand...

AI Technical Summary

Problems solved by technology

The current traditional risk diagnosis techniques and methods have the following problems: (1) The multi-dimensional information (such as: alarms, historical accidents / events, maintenance records, design parameters, operation / operating parameters, fault locations, etc.) Accurate sharing, and it takes a certain amount of time to collate, lacking the means to fully understand risk information

(2) In most cases, it is only possible to rely on the expert team of the enterprise for risk diagnosis and disposal, and cannot obtain the knowledge and experience sharing of other enterprise experts in a short period of time, and may miss the best time to deal with major risks

(3) The diagnostic expert team must deeply understand and deal with risks on the spot. Once a danger occurs, it will cause accidents such as personal injury to magnify

[0003] Due to the influence of the above factors, when petrochemical equipment is facing major risks, the risks cannot be eliminated in time, resulting in accidents or expansion of accidents, resulting in personal injury, environmental pollution or property loss, etc.

Images