Smart factory management platform system

Abstract

The invention relates to a smart factory management platform system comprising an intelligent sensing layer for collecting, arranging and storing data of all information sources during a production process, an intelligent data analysis layer for carrying real-time analyses on various collected data, monitoring, evaluating, and predicting healthy states of equipment and product quality states, displaying analysis results at a visual human-computer interaction interface, and generating corresponding decision-making support suggestions, and a management and decision-making layer for pushing the analysis results and decision-making suggestions to all departments under jurisdiction of a company and providing a decision-making and planning basis for a superior information system. According to the invention, historical and real-time monitoring data and production data are dug fully and health states of the equipment are analyzed and controlled precisely and quantitatively; a reasonable production plan and a reasonable maintenance plan are made based on the predictive analysis of the states of the equipment; failures of the equipment and products due to faults can be prevented; the operation and maintenance costs are lowered effectively; the production efficiency is improved; the product quality is guaranteed; and the comprehensive competitiveness of the market is strengthened.

Description

technical field [0001] The invention relates to an intelligent factory management platform system, which belongs to the technical field of intelligent production and manufacturing. Background technique [0002] For manufacturing enterprises, production equipment is closely related to the production of the enterprise, and is expensive, and the cost of use and maintenance accounts for a large proportion of the cost of the enterprise. is of great significance. [0003] The production management of existing manufacturing enterprises has the following problems: First, the existing CNC machine tools are networked to produce a large amount of data, which are often stored in the enterprise database and no one cares about them, and there is no good analysis method. Only limited to the reproduction of original data, the huge potential value contained in it has not been fully utilized and tapped; second, due to the large number, types and systems of CNC machine tools, although the dat...

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Problems solved by technology

[0003] The production management of existing manufacturing enterprises has the following problems: First, the existing CNC machine tools are networked to produce a large amount of data, which are often stored in the enterprise database and no one cares about them, and there is no good analysis method. Only limited to the reproduction of original data, the huge potential value contained in it has not been fully utilized and tapped; second, due to the large number, types and systems of CNC machine tools, although the data is interconnected, for each different model, There is a lack of targeted health status monitoring results for each machine; third, the existing mold production management system is more from the perspective of design, without monitoring the health status of equipment, and does not combine production efficiency with equipment health during management. Connected, the machines used will pose unknown risks to the completion of production tasks due to unknown recession conditions

For example, for the maintenance management of the same equipment, due to often relying on experience and equipment user manuals, the maintenance methods adopted are mostly the same. However, according to the different working conditions experienced by the equipment, the same equipment may have different degradation processes. Maintenance of equipment that is not seriously degraded will cause waste of resources and downtime, which will affect production efficiency. If maintenance is delayed for equipment with severe deterioration, it may cause accelerated aging of equipment, and even serious hidden dangers to production safety

[0004] The sudden occurrence of equipment failure in manufacturing enterprises will not only increase the maintenance cost of the enterprise, but also seriously affect the production efficiency of the enterprise and cause the enterprise to suffer huge losses.

The health status of manufacturing equipment and the wear and tear of processing tools are the key factors and risks that affect product quality. Even if there is no obvious failure or shutdown of the equipment, the loss of accuracy due to the decline in the health status of the equipment is invisible. exists objectively

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