Abstract: A multi-modal pre-training model acquisition method, an electronic device and a storage medium, which relate to the fields of deep learning and natural language processing, are disclosed. The method may include: determining, for each image-text pair as training data, to-be-processed fine-grained semantic word in the text; masking the to-be-processed fine-grained semantic words; and training the multi-modal pre-training model using the training data with the fine-grained semantic words masked.

Abstract: The present disclosure relates to an oil well monitoring apparatus and method. The oil well monitoring apparatus includes a mixed liquid inlet and a mixed liquid outlet of a mixed liquid of oil, gas, and water in a ground pipeline connected to a wellhead of an oil well, a gas-liquid separator, an inlet of which is connected to the mixed liquid inlet, and a liquid monitoring member, which is connected between a liquid outlet of the gas-liquid separator and the mixed liquid outlet, and a gas monitoring member, which is connected between a gas outlet of the gas-liquid separator and the mixed liquid outlet, and a data processing device, which is configured to calculate a liquid production amount of the oil well based on the liquid monitoring data and calculate a gas production amount of the oil well based on the gas monitoring data.

Abstract: A method for automatically identifying global solar photovoltaic (PV) panels based on a cloud platform by using remote sensing. Optical images in a study area for a whole specific year are collected based on the cloud platform, and preprocessing is performed to obtain a surface reflectance image. Seven time-series images are derived and constructed based on spectral features of a solar PV panel: a solar PV panel index image, a water index image, a vegetation index image, a difference image between a first shortwave infrared band and a second shortwave infrared band, a difference image between the first shortwave infrared band and a near-infrared band, a blue band image, and a first shortwave infrared band image. Data in the seven time-series images are synthesized and reconstructed to obtain input data required by a model. A remote sensing theoretical model for automatically identifying a solar PV panel is constructed.

Abstract: The present disclosure relates to a crude oil parameter detection device, which includes a liquid cavity constituted by a first housing, a flow measurement cavity constituted by a second housing, a detection cavity constituted by a third housing, and a processing module; the flow measurement cavity is in-built in the liquid cavity; the first housing includes a first liquid inlet and a first liquid outlet; the second housing includes a second liquid inlet and a second liquid outlet; the second liquid outlet is in communication with the first liquid outlet through a liquid outlet pipeline; a float assembly is in-built in the flow measurement cavity, which includes a float and a float connection rod integrally connected with the float, and an end of the float connection rod is connected to a detection part; the detection cavity at least internally comprises a position detection module; the position detection module detects a position of the detection part at the end of the float connection rod to obtain a float

Abstract: A method for automatically identifying global solar photovoltaic (PV) panels based on a cloud platform by using remote sensing. Optical images in a study area for a whole specific year are collected based on the cloud platform, and preprocessing is performed to obtain a surface reflectance image. Seven time-series images are derived and constructed based on spectral features of a solar PV panel: a solar PV panel index image, a water index image, a vegetation index image, a difference image between a first shortwave infrared band and a second shortwave infrared band, a difference image between the first shortwave infrared band and a near-infrared band, a blue band image, and a first shortwave infrared band image. Data in the seven time-series images are synthesized and reconstructed to obtain input data required by a model. A remote sensing theoretical model for automatically identifying a solar PV panel is constructed.

Abstract: A contactor includes: a frame; a stationary contact; a movable contact movable between a closed position and an open position, wherein, in the closed position, the movable contact and the stationary contact are connected such that the contactor is closed, and in the open position, the movable contact and the stationary contact are disconnected such that the contactor is open; and a reset mechanism including a counter force spring, the counter force spring being a torsion spring used to bias the movable contact toward the open position, wherein the torsion spring is an integral component including a body portion having a longitudinal axis, a middle leg extending from the body portion and two torsion arms positioned at two ends of the body portion, and the torsion arms are arranged at two opposite sides of the movable contact. Also provided is an electrical control cabinet including the contactor.

Abstract: A modular contactor. The modular contactor includes a driving module (1), an intermediate connection module (2), a breaking module (3), an upper application interface module (4), and a lower application interface module (5); the driving module (1) is detachably connected to a first side of the intermediate connection module (2); the breaking module (3) is detachably connected to a second side of the intermediate connection module (2) ; the upper application interface module (4) is detachably connected to the top of the breaking module (3) so as to be electrically connected to upper static contacts of the multiple breaking units; the lower application interface module (5) is detachably connected to the bottom of the breaking module (3) so as to be electrically connected to lower static contacts of the multiple breaking units.

Abstract: The present disclosure relates to a crude oil flow metering device, which includes a measuring part and a metering part; the measuring part includes a measuring tube and a float assembly; the float assembly is in-built in the measuring tube, and includes a float and a float connection rod integrally connected with the float; an end of the float connection rod is connected to a detection part; the detection part protrudes out of the measuring tube when the float rises from a bottom end; the metering part includes a position detection module and a processing module; the position detection module is arranged in a detection cavity located above the measuring tube and formed by a first housing; when the detection part at the end of the float connection rod extends into the detection cavity, the position detection module detects a position of the detection part at the end of the float connection rod to obtain a float height detection signal; and the processing module calculates a flow rate of measured crude oil acc

Abstract: The present disclosure relates to a crude oil parameter detection device, which includes a liquid cavity constituted by a first housing, a flow measurement cavity constituted by a second housing, a detection cavity constituted by a third housing, and a processing module; the flow measurement cavity is in-built in the liquid cavity; the first housing includes a first liquid inlet and a first liquid outlet; the second housing includes a second liquid inlet and a second liquid outlet; the second liquid outlet is in communication with the first liquid outlet through a liquid outlet pipeline; a float assembly is in-built in the flow measurement cavity, which includes a float and a float connection rod integrally connected with the float, and an end of the float connection rod is connected to a detection part; the detection cavity at least internally comprises a position detection module; the position detection module detects a position of the detection part at the end of the float connection rod to obtain a float

Abstract: A cloud platform-based garlic crop recognition method by coupling active and passive remote sensing images includes: firstly, obtaining an optical satellite remote sensing image based on phenological characteristics of garlic, and constructing a decision tree model for optical image recognition of the garlic by combining geographic coordinate information of the garlic, so as to obtain an optical distribution diagram of the garlic; secondly, obtaining radar image characteristics of the garlic and winter wheat based on a synthetic aperture radar satellite, and constructing a decision tree model for radar image recognition of the garlic by combining the geographic coordinate information of the garlic, so as to obtain a radar distribution diagram of the garlic; and finally, coupling the optical distribution diagram of the garlic with the radar distribution diagram of the garlic, i.e., selecting an intersection of the two distribution diagrams to complete remote sensing recognition drawing of the garlic.

Abstract: Embodiments of the present disclosure provide a stationary contact assembly and a corresponding switch contact. The stationary contact assembly comprises: a stationary contact body (21); a stationary contact point (23) placed on the stationary contact body (21); and an arc-guiding member (25) fixed on the stationary contact body (21) and including an arc guiding portion (251), the arc guiding portion (251) comprising a first end (A) and a second end (B) that are opposite to each other, the first end (A) being close to the stationary contact point (23), a direction form the first end (A) to the second end (B) defining a main movement direction (F) of arc.

Abstract: The present disclosure relates to an oil well monitoring apparatus and method. The oil well monitoring apparatus includes a mixed liquid inlet and a mixed liquid outlet of a mixed liquid of oil, gas, and water in a ground pipeline connected to a wellhead of an oil well, a gas-liquid separator, an inlet of which is connected to the mixed liquid inlet, and a liquid monitoring member, which is connected between a liquid outlet of the gas-liquid separator and the mixed liquid outlet, and a gas monitoring member, which is connected between a gas outlet of the gas-liquid separator and the mixed liquid outlet, and a data processing device, which is configured to calculate a liquid production amount of the oil well based on the liquid monitoring data and calculate a gas production amount of the oil well based on the gas monitoring data.

Abstract: Embodiments of the present disclosure provide a stationary contact assembly and a corresponding switch contact. The stationary contact assembly comprises: a stationary contact body (21); a stationary contact point (23) placed on the stationary contact body (21); and an arc-guiding member (25) fixed on the stationary contact body (21) and including an arc guiding portion (251), the arc guiding portion (251) comprising a first end (A) and a second end (B) that are opposite to each other, the first end (A) being close to the stationary contact point (23), a direction form the first end (A) to the second end (B) defining a main movement direction (F) of arc.