Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Intelligent fuzzy network algorithm of asphalt mixing station weighing control system
The invention discloses an intelligent fuzzy network algorithm of an asphalt mixing station weighing control system, which comprises the following steps of: establishing a data table, recording bin numbers in the data table because the sizes of materials are different, the material levels of bins are different, the proportions are different, and the advances are different in different sequences, so that information such as bin numbers, information such as sequence, batching time, flow, error and proportioning value are required to be recorded in the data table; and looking up a table according to the current information, and solving the optimal lead according to empirical values and different information weights of different models. According to the intelligent fuzzy network algorithm of the asphalt mixing station weighing control system, only two doors are required to act simultaneously, the feeding time is shortened by 5-10 seconds, and the yield is improved. And if a double-stroke air cylinder is adopted originally, only a single stroke is needed now, so that the cost is reduced, and fault points are reduced. And the batching precision is relatively high when the proportion is small. And after waiting for the vehicle, the production is continued, or after the formula is changed, the lead is adjusted in real time through big data comparison, and higher precision can also be achieved.
本发明公开了一种沥青拌和站称重控制系统的智能模糊网络算法，该智能模糊网络算法包括以下步骤：建立数据表，由于物料的大小不同，料仓的料位高低不同，不同的配比值、不同的次序时提前量也是不同的，因而必须在数据表记录仓号，次序，配料时间，流量，误差以及配比值等信息；根据当前信息查表，不同的机型根据经验值，信息的权重有所不同，求得最佳提前量。该一种沥青拌和站称重控制系统的智能模糊网络算法，只需要双门同时动作，进料时间缩短5‑10秒，产量提高了。原来如果采用双行程气缸的，现在只要单行程的，降低了成本和减少了故障点。小配比时配料精度也较高。当等车后继续生产，或换配方后通过大数据比对，实时调整提前量，也能达到较高的精度。
Intelligent fuzzy network algorithm of asphalt mixing station weighing control system
The invention discloses an intelligent fuzzy network algorithm of an asphalt mixing station weighing control system, which comprises the following steps of: establishing a data table, recording bin numbers in the data table because the sizes of materials are different, the material levels of bins are different, the proportions are different, and the advances are different in different sequences, so that information such as bin numbers, information such as sequence, batching time, flow, error and proportioning value are required to be recorded in the data table; and looking up a table according to the current information, and solving the optimal lead according to empirical values and different information weights of different models. According to the intelligent fuzzy network algorithm of the asphalt mixing station weighing control system, only two doors are required to act simultaneously, the feeding time is shortened by 5-10 seconds, and the yield is improved. And if a double-stroke air cylinder is adopted originally, only a single stroke is needed now, so that the cost is reduced, and fault points are reduced. And the batching precision is relatively high when the proportion is small. And after waiting for the vehicle, the production is continued, or after the formula is changed, the lead is adjusted in real time through big data comparison, and higher precision can also be achieved.
本发明公开了一种沥青拌和站称重控制系统的智能模糊网络算法，该智能模糊网络算法包括以下步骤：建立数据表，由于物料的大小不同，料仓的料位高低不同，不同的配比值、不同的次序时提前量也是不同的，因而必须在数据表记录仓号，次序，配料时间，流量，误差以及配比值等信息；根据当前信息查表，不同的机型根据经验值，信息的权重有所不同，求得最佳提前量。该一种沥青拌和站称重控制系统的智能模糊网络算法，只需要双门同时动作，进料时间缩短5‑10秒，产量提高了。原来如果采用双行程气缸的，现在只要单行程的，降低了成本和减少了故障点。小配比时配料精度也较高。当等车后继续生产，或换配方后通过大数据比对，实时调整提前量，也能达到较高的精度。
Intelligent fuzzy network algorithm of asphalt mixing station weighing control system
一种沥青拌和站称重控制系统的智能模糊网络算法
CAO XIANQING (Autor:in) / DONG XINYU (Autor:in)
23.04.2021
Patent
Elektronische Ressource
Chinesisch
IPC:
E01C
Bau von Straßen, Sportplätzen oder dgl., Decken dafür
,
CONSTRUCTION OF, OR SURFACES FOR, ROADS, SPORTS GROUNDS, OR THE LIKE
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