SYSTEM AND METHOD FOR DISPENSING PRODUCTS
    4.
    发明公开
    SYSTEM AND METHOD FOR DISPENSING PRODUCTS 审中-公开
    系统VERFAHREN ZUR AUSGABE VON PRODUKTEN

    公开(公告)号:EP3093629A1

    公开(公告)日:2016-11-16

    申请号:EP15382246.5

    申请日:2015-05-12

    摘要: System for dispensing products comprising a hopper for each product i to be dispensed, a plurality of dispensers of product i, a distribution network that connects said dispensers to the corresponding hopper, and an automatic calibration sub-system, the latter system in turn comprising calibration means that take and dispense an amount of product i, a control unit for said calibration means, data processing means, and a communications network that transmits information between the control unit of the calibration means and the data processing means. A method is also provided for dispensing an amount of product I by a dispenser of said dispensing system.

    摘要翻译: 用于分配产品的系统,其包括用于要分配的每个产品i的料斗,多个产品分配器i,将所述分配器连接到相应的料斗的分配网络,以及自动校准子系统,后者系统又包括校准 意味着取出和分配产品i的量,用于所述校准装置的控制单元,数据处理装置和在校准装置的控制单元和数据处理装置之间发送信息的通信网络。 还提供了一种用于通过所述分配系统的分配器分配一定量的产品I的方法。

    METHOD FOR THE INTELLIGENT CONTROL OF WASTE COLLECTION IN AN AUTOMATED WASTE COLLECTION PLANT

    公开(公告)号:EP4060574A1

    公开(公告)日:2022-09-21

    申请号:EP22161570.1

    申请日:2022-03-11

    摘要: The present invention relates to a method for the intelligent control of waste collection in an automated waste collection plant. Said method comprises storing operating information of automated waste collection plants and an energy value corresponding to the energy used in the emptying cycles; calculating an energy usage model by means of a first algorithm; and training a virtual agent by means of a second algorithm that evaluates the energy consumption of a series of actions of a plant in response to several waste occupation states in the inlets. The virtual agent receives, in real time, information relating to the loading state of the inlets of a real plant and establishes decision-making policies of said real plant based on the received information and on actions considered optimal during the training. The real plant is then operated according to the established decision-making policies.