Abstract: An automatic leveling type maintenance platform for a high-temperature gas cooled reactor is provided. A floating plate is automatically leveled by using a leveling liquid. During leveling, only a water driving assembly needs to be controlled to drive a housing to be close to an inner bottom surface of a liquid storage container. A sliding block assembly and a lifting guide mechanism are controlled to be locked and fixed after the floating plate is leveled. The floating plate can allow for automatic and rapid leveling and locking operation. Thus, complex and time-consuming fine adjustment control does not need to be performed. Also, when the platform is used in a spherical top cap of a pressure vessel of the reactor for a maintenance operation, then support legs of a support assembly do not need to have telescopic motion.

Abstract: An automatic leveling type maintenance platform for a high-temperature gas cooled reactor is provided. A floating plate is automatically leveled by using a leveling liquid, and during leveling, only a water driving assembly needs to be controlled to drive a housing to be close to an inner bottom surface of a liquid storage groove, and a sliding block assembly and a lifting guide mechanism are controlled to be locked and fixed after the floating plate is leveled. In this way, complex and time-consuming fine adjustment control does not need to be performed, and the floating plate can implement automatic and rapid leveling and locking operation, so that a leveling effect is better. When the maintenance platform is used in a spherical top cap of a pressure vessel of the high-temperature gas cooled reactor for maintenance operation, support legs of a support assembly do not need to perform telescopic motion.

Abstract: A system for generating predictions associated with interdependence detection between a plurality of data objects, each data object of the plurality of data objects corresponding to an entity name, the system processing, using a natural language processing engine, text strings to extract entity names associated with each of the text string; processing, using a machine learning engine, the text strings to extract estimated economic relationships identified between at least two different entity names. The estimated economic relationships are aggregated for each pair of entity names to establish of potential interdependence between the pair of entity names. An output data structure is generated based at least on the aggregated estimated economic relationships.

Abstract: A system for generating predictions associated with interdependence detection between a plurality of data objects, each data object of the plurality of data objects corresponding to an entity name, the system processing, using a natural language processing engine, text strings to extract entity names associated with each of the text string; processing, using a machine learning engine, the text strings to extract estimated economic relationships identified between at least two different entity names. The estimated economic relationships are aggregated for each pair of entity names to establish of potential interdependence between the pair of entity names. An output data structure is generated based at least on the aggregated estimated economic relationships.