Abstract: The disclosure provides a method and system of improvement in the real-time operation of a terminal station in an industrial facility using a machine learning-based self-adaptive system comprising obtaining real-time operations data and historical data stored in a local database or at a cloud-storage. The data relates to input parameters of the terminal station. The method includes inputting the input parameter to a machine learning configurable module of the machine learning-based self-adaptive system and analyzing the input parameter using dynamic machine learning models and algorithms to identify patterns to each of the input parameters. The method further includes evaluating the identified pattern against the real-time operations data obtained from the terminal station and predicting at least one output parameter based on the input parameter and the identified pattern against the real-time operations. Based on the prediction, adjusting the output parameter of the real-time operations data.

Abstract: The disclosure provides a method and system of improvement in the real-time operation of a terminal station in an industrial facility using a machine learning-based self-adaptive system comprising obtaining real-time operations data and historical data stored in a local database or at a cloud-storage. The data relates to input parameters of the terminal station. The method includes inputting the input parameter to a machine learning configurable module of the machine learning-based self-adaptive system and analyzing the input parameter using dynamic machine learning models and algorithms to identify patterns to each of the input parameters. The method further includes evaluating the identified pattern against the real-time operations data obtained from the terminal station and predicting at least one output parameter based on the input parameter and the identified pattern against the real-time operations. Based on the prediction, adjusting the output parameter of the real-time operations data.

Abstract: A method for leasing equipment or facilities using blockchain technology may include: receiving, through a blockchain network, a request from a lessor device or lessee device to initiate an electronic lease agreement transaction between a lessor and a lessee for a select equipment or facility; verifying an identity of the lessor and the lessee via a digital identity of the lessor and the lessee stored in a blockchain shared ledger to determine if the lessor and lessee are authorized users of the blockchain network; verifying an identity of the equipment or facility via a digital identity of the equipment or facility stored in the blockchain shared ledger; and if the identities of the lessor and lessee and the equipment or facility are verified, electronically executing a smart contract for the lease agreement between the lessor and the lessee, the smart contract including rules for enforcing the lease agreement.