Abstract: The invention pertains to a measuring system for the conductivity of supercritical geothermal fluid, featuring a reaction control unit with a reaction vessel lined with corundum ceramic and containing a stirrer, a pressure control unit including a booster pump connected to Ar gas and an air compressor, a flow control unit with a flowmeter, and a temperature control unit comprising a heating furnace with thermocouples both inside and outside the reaction chamber. An electrical signal monitoring unit with electrodes fitted through a corundum capillary into the ceramic lining measures current and voltage. The invention also details a method for measuring conductivity, highlighting how water-rock interactions in supercritical geothermal fluids affect conductivity changes.

Abstract: The invention pertains to a measuring system for the conductivity of supercritical geothermal fluid, featuring a reaction control unit with a reaction vessel lined with corundum ceramic and containing a stirrer, a pressure control unit including a booster pump connected to Ar gas and an air compressor, a flow control unit with a flowmeter, and a temperature control unit comprising a heating furnace with thermocouples both inside and outside the reaction chamber. An electrical signal monitoring unit with electrodes fitted through a corundum capillary into the ceramic lining measures current and voltage. The invention also details a method for measuring conductivity, highlighting how water-rock interactions in supercritical geothermal fluids affect conductivity changes.

Abstract: A method for detecting abnormal network data includes performing feature extraction on a network data packet according to each of plural protocol types, and generating a corresponding data packet fingerprint set. The data packet fingerprint set includes one or more data packet fingerprints, each of the one or more data packet fingerprints corresponding to one of the plural protocol types. The method further includes matching at least one data packet fingerprint in the data packet fingerprint set and a reference data packet fingerprint in a reference data packet fingerprint library, and calculating a confidence corresponding to the network data packet based on confidence correlation information corresponding to each of the at least one matched data packet fingerprint. The method also includes obtaining a reference confidence, and determining an abnormality detection result of the network data packet based on the reference confidence and the calculated confidence.

Abstract: Embodiments of this application provide an upload interface identification method performed at an identification server. The identification server obtains a to-be-identified request packet that is contained in request packets from a page client to a page server. After parsing a content feature of the to-be-identified request packet, the server determines whether the content feature corresponds to a predefined content feature of an upload request packet authorized by the page server. The server then determines that an interface address indicated by the upload request packet corresponds to an upload interface of the to-be-identified request packet if the content feature corresponds to the set content feature of the upload request packet.

Abstract: Embodiments of this application provide an upload interface identification method performed at an identification server. The identification server obtains a to-be-identified request packet that is contained in request packets from a page client to a page server. After parsing a content feature of the to-be-identified request packet, the server determines whether the content feature corresponds to a predefined content feature of an upload request packet authorized by the page server. The server then determines that an interface address indicated by the upload request packet corresponds to an upload interface of the to-be-identified request packet if the content feature corresponds to the set content feature of the upload request packet.