Aerospace flexible product process optimization method based on genetic algorithm
An aerospace and genetic algorithm technology, applied in the field of automated assembly, can solve the problems of being unable to adapt to the multi-variety and variable batch production characteristics of high-end complex products in the aerospace field, and achieve the effects of strong fusion ability, improved processing efficiency, and strong convergence
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specific Embodiment approach 1
[0083] Specific implementation mode one: the following combination figure 1 Describe this embodiment, the genetic algorithm-based aerospace flexible product process optimization method described in this embodiment, the specific process of the method includes:
[0084] S1. Characterize the parameters of a device-level unit, where the device-level unit includes an execution device and an operated object;
[0085] S2. According to the task requirements of the production line, establish a production database of task-process-action sequence;
[0086] S3. According to the production database obtained in S2, the genetic algorithm is used to optimize the design of the execution process of the execution equipment, and the shortest processing time is used as the optimization goal to obtain the processing sequence of the execution equipment.
specific Embodiment approach 2
[0087] Specific implementation mode 2: This implementation mode further explains the implementation mode 1. The specific method for characterizing the parameters of the execution device described in S1 is:
[0088] The parameters of the execution equipment include model data, motion data, attribute data, function data, state data and capability data;
[0089] The model data is a three-dimensional model of the external dimensions of the equipment, which is obtained through the factory information of the equipment;
[0090] The motion data is the real-time motion information of the position of the moving parts of the equipment and the moving speed of the parts, which is obtained through the real-time information collected by the sensor;
[0091] The attribute data is the name of the device, the factory manufacturer and the service life, and is obtained through the factory information of the device;
[0092] The function data is a list of functions that the device can complete, ...
specific Embodiment approach 3
[0112] Specific implementation mode three: the following combination figure 2 , image 3 and Figure 4 Describe this embodiment, this embodiment will further explain Embodiment 1, the specific method of establishing the production database of the task-process-action sequence described in S2 includes:
[0113] S2-1. List all the tasks of the production line, and establish a task database;
[0114] S2-2. Split each enumerated task into multiple procedures, establish a mapping relationship between each procedure and execution equipment and operation objects, and establish a procedure database;
[0115] S2-3. Divide each process into multiple specified action sequences, and establish a mapping relationship between each action sequence and the motion data of the executing device.
[0116] In this embodiment, each task has all achievable process arrangements.
[0117] Further, the specific content of establishing the production database of the executing device in S2 includes: t...
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