Intelligent control system for large wind power blade production process

Abstract

The invention discloses an intelligent control system for the large wind power blade production process. The intelligent control system comprises a center control system, a video monitoring system, ablade production system and an equipment fault detection system. The center control system is respectively connected with the video control system, the blade production system and the equipment faultdetection system. The blade production system comprises a mold temperature in-situ control system, a blade vacuum filling control system, a blade overturning control system and a workshop environmentmonitoring system. The equipment fault detection system comprises a glue distributing equipment monitoring system, a drilling equipment monitoring system and a paint spraying equipment monitoring system. The intelligent control system has the beneficial effects that through monitoring and collecting to functional data, running conditions of all equipment can be centralized and monitored, and the problems of delayed feedback, inaccurate measuring and non-prewarning caused by relying on manual operation and dispersion of monitoring equipment are solved.

Description

technical field [0001] The invention belongs to the technical field of wind power generator manufacturing equipment, and in particular relates to an intelligent control system for the production process of large wind power blades. Background technique [0002] In recent years, with the increase in the output of wind power blades, the problems of production quality and efficiency caused by the functional defects of field equipment and human factors in the blade production line monitoring system have become increasingly prominent. [0003] In order to finish the manufacturing process quickly, front-line workers adjust the parameters of the mold heating system without authorization, so that the product curing is not fully implemented in accordance with the technical requirements, which brings huge safety hazards to product quality. It is difficult to completely avoid it by blindly supervising workers. During the heating period, special personnel are required to conduct on-site ...

AI Technical Summary

Problems solved by technology

[0003] In order to finish the manufacturing process quickly, front-line workers adjust the parameters of the mold heating system without authorization, so that the product curing is not fully implemented in accordance with the technical requirements, which brings huge safety hazards to product quality. It is difficult to completely avoid it by blindly supervising workers. During the heating period, special personnel are required to conduct on-site inspections and data records. In the form of paper records, problems such as data loss, transcription errors, and difficulty in storage and reference are prone to occur.

[0004] The current production situation is prone to energy waste problems, such as pre-curing and post-curing heating, constant temperature, and cooling are currently performed manually, and automatic start and stop cannot be realized

[0005] At present, the heater used for heating the blade mold can only realize the open-loop control of heating. The temperature of the heater is set artificially. The temperature set by the technical requirements is the surface temperature of the mold. The real-time measurement of the surface temperature of the mold cannot be realized in the actual production process. The heater The temperature difference between the temperature and the surface of the mold cannot be measured, the accuracy of manual control is insufficient, and the technical requirements cannot be intuitively reflected, which brings certain hidden dangers to product quality

[0006] The existing operating information of key equipment in the production process of blades, especially the operating data of heating, cannot realize the implementation of supervision and control, and cannot realize the storage and printing of data, resulting in the inability to provide effective data support for tracing the production process of blades

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