A real-time feeding volume control method for industrial feeding trucks based on big data
A technology of feeding quantity and big data is applied in the field of real-time feeding quantity control of industrial feeding vehicles based on big data. The effect of uniformity and precision
Inactive Publication Date: 2019-03-15
CHONGQING TECH & BUSINESS INST
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Problems solved by technology
At present, the material control system is still immature, including the storage of material feeding data, the accurate detection of material feeding volume, and the precise control of material feeding volume. There is no systematic solution
Method used
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Embodiment Construction
[0023] Below in conjunction with accompanying drawing and embodiment the present invention will be further described:
[0024] Such as figure 1 As shown, in an embodiment of the present invention, a method for controlling real-time feeding amount of an industrial feeding car based on big data is provided, which is characterized in that it includes the following steps:
[0025] S1. The controller of the feeding cart communicates with the cloud processing center to obtain information on whether feeding is required. If feeding is not required, continue to step S1; if feeding is required at the current moment, move the feeding cart to the feeding area, open the feeding port, and start sending Feed information to the cloud processing center, and execute step S2;
[0026] S2. Collect the vibration state of the material truck regularly, collect the measured value of the material regularly, and send the vibration state of the material truck and the measured value to the cloud process...
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The invention discloses an industrial feeding trolley real-time feeding amount control method based on big data, and relates to the field of industrial production. The method comprises the following steps that firstly, a controller of a trolley is in communication with a cloud processing center, and information indicating whether feeding is needed or not is acquired; if feeding is needed at the current moment, the trolley is moved to a feeding area, a feeding opening is opened, and feeding starting information is sent to the cloud processing center; then, the vibration state of the trolley and the measurement value of materials are regularly collected and sent to the cloud processing center; finally, the real-time feeding amount precise value is obtained according to the vibration state of the trolley; and if the precise value meets a preset section, the cloud processing center sends a feeding stopping instruction to the trolley. The cloud processing center and the trolley are in communication, the vibration state of the trolley and real-time material measurement value data are acquired, the cloud processing center manages and processes the data, and the industrial production automation efficiency is improved; and feeding of a whole factory can be conveniently managed, and the feeding management efficiency is improved.
Description
technical field [0001] The invention relates to the field of industrial production, in particular to a method for controlling the real-time feeding amount of an industrial feeding truck based on big data. Background technique [0002] With the development of science and technology, the production scale of various industries continues to expand, the amount of data and control in industrial production is also increasing, and the detection and control of industrial production is also showing big data. Therefore, in order to ensure the safety and efficiency of enterprise production, it is necessary to use computers to realize remote monitoring and management digitization. [0003] Materials are an important part of industrial production. Reasonable monitoring of material supply can improve the yield rate of industrial production on the one hand, and reduce the cost of production materials on the other hand. It is a key control item for enterprise production. At present, the sys...
Claims
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IPC IPC(8): B65G67/24B65G65/00
CPCB65G65/005B65G67/24B65G2201/04
Inventor 李佳
Owner CHONGQING TECH & BUSINESS INST