3 results about "Supply side" patented technology

This invention relates to an apparatus for filling different types of pharmaceutical containers (12), wherein the containers (12) particularly include syringes, vials, and / or cartridges. The apparatus (10; 152; 158; 166) comprises: a filling device (14) having: particularly linear transport device (58), preferably including a retaining element (62) for the circulation of the container (12), which is movable along the transport direction (60) from the receiving side to the discharging side of the transport device (58); and at least one processing station (68) for the container (12), the processing station including a filling station (88) arranged at the transport device (58) for filling the container (12) with medication; a receiving element (84) for transferring the container (12) to the transport device (58) and a receiving element (84) for transferring the container (12) from the transport device (58) to the receiving device (58). 8) A receiving element (106) for receiving the container (12); a first supply unit (16) for providing the first type of container (12) to be filled and a second supply unit (18) for supplying the second type of container (12) to be filled; a transfer element (28) arranged on the supply side relative to the transport device (58) or arranged at at least one transfer position (32) and preferably at exactly one transfer position (32), through which the first type of container (12) of the first supply unit (16) or the second supply unit (18) of the second type of container (12) can be supplied to the transport device (58) indirectly or directly.

The present invention provides a chip processing device that can suppress the downtime during the chip replacement process that occurs when replacing the storage-side sheet or the supply-side sheet. [Solution] A chip processing device 10 has a transport unit 11 that moves chips W obtained from a supply-side sheet S1 on which multiple chips W are attached and attaches them to a storage-side sheet T1 located at an attachment position P. The device comprises a storage-side rotating body 14 on which multiple storage-side sheets T1 to T5 are fixed and which places one of the multiple storage-side sheets T1 to T5 at the attachment position P, and a storage-side driving means that rotates the storage-side rotating body 14 to move the storage-side sheet T1 that was located at the attachment position P to another position and place the other storage-side sheets T2 to T5 at the attachment position P.

The present invention relates to a virtual power plant to which an optimal price determination and contract renewal system based on digital twin modeling and artificial intelligence is applied. More specifically, the invention comprises: an optimal price determination system including a power generation estimation module that estimates the power generation amount of a power source per reference period, a power demand estimation module that estimates the power consumption amount of a power demander, and a price determination module that derives an optimal price by reinforcement-learned artificial intelligence based on power generation and power consumption data estimated from the power generation estimation module and the power demand estimation module, respectively; a power source management module that manages data on real-time energy transactions and history of power sources and calculates a parameter value that compensates for the difference between the price determined by the optimal price determination system and the actual transaction price, and outputs it to the power generation estimation module; a demand source management module that manages data on real-time energy transactions and history of power demanders and calculates a parameter value that compensates for the difference between the price determined by the optimal price determination system and the actual transaction price, and outputs it to the power demand estimation module; and a monitoring module that manages the optimal price determination system, monitors real-time power transactions, and manages their history. A cloud data server module that processes and manages all data regarding power trading input / output from the above monitoring module and provides it to the user;A contract renewal system comprising: a supply-side digital twin modeling module that generates multiple supply-side contract renewal digital twin modules by modeling supply-side contract renewal conditions based on supply-side power supply history data for the entire contract period and maximum / minimum range data calculated therefrom from the cloud data server module; a demand-side digital twin modeling module that generates multiple demand-side contract renewal digital twin modules by modeling demand-side contract renewal conditions based on demand-side power demand or consumption history data for the entire contract period and maximum / minimum range data calculated therefrom from the cloud data server module; and a contract renewal module that combines multiple supply-side contract renewal digital twin modules and demand-side contract renewal digital twin modules to calculate and output contract matching condition ranges by artificial intelligence for each, wherein the power generation estimation module includes multiple supply-side digital twin models that model supply quantities for price based on data regarding estimated power supply and maximum / minimum range data calculated therefrom, and the power demand estimation module includes multiple demand quantities that model demand quantities for price based on data regarding estimated power demand and maximum / minimum range data calculated therefrom The present invention relates to a virtual power plant to which a system for optimal price determination and contract renewal by digital twin modeling and artificial intelligence is applied, wherein the system includes a demand-side digital twin model, and the price determination module determines an optimal price range by artificial intelligence from multiple prices determined by matching the supply and demand quantities for each price derived from multiple supply-side digital twin models and multiple demand-side digital twin models.