A Dynamic Modeling Method of Production Process for Safety Monitoring System

Abstract

The invention provides a dynamic modeling method for a production process used in a safety monitoring system, comprising the following steps: Step 1, determining the initial state model of the production process and failure sensors; Step 2, starting from the initial state x of the production process 0 Start the establishment of a new model, create the state set Ω to be fused and the fused state set Θ; step 3, perform state fusion on the state set X in the set Ω; step 4, judge whether event expansion is required for the fused set X, If not, go to step 6; otherwise, go to step 5; step 5, perform event expansion on the fused state set X, based on the aforementioned initial state model, merge migration events for each state in the set X, And put the possible migration state into the set Ω; step 6, repeat step 3 to step 5, until the set Ω is empty, and end. Using the modeling method of the present invention, rapid remodeling can be performed for sensor failure.

Description

technical field [0001] The invention relates to the field of intelligent control of safe production process, in particular to a dynamic modeling method for sensor failure in the production process used in a safety monitoring system. Background technique [0002] In the production process, in order to ensure personal and property safety, a safety monitoring system is often used to monitor and control dangerous situations in order to minimize the hazards. The safety monitoring system is composed of safety-related controllers, sensors and actuators. Its working principle is that the state transition model of the entire production process is pre-stored in the controller, and the current state of the production process is judged according to the safety signal sent by the sensor. Then send the corresponding safety processing command to the actuator according to the dangerous state, so as to prevent or alleviate the consequences of the danger and ensure the safety of the production...

AI Technical Summary

Problems solved by technology

The failure of the sensor is often caused by electromagnetic interference, and it will return to normal after a period of time, while the G PP The modeling method only defines the state transition after the sensor fails, but does not define the related inverse transition. Once the failed sensor returns to normal, the design of the modeling method will make the safety monitoring system enter the blockage;

[0006] (2) For the problem of multiple sensor failures, the complexity of the model increases exponentially

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