Abstract: Using artificial intelligence (AI), imagery may be created for content in response to verbal or textual input. The imagery includes an object, such as a product, and a quality of the image is improved using pre-processing techniques before the image is generated and post-processing techniques after the image is generated. The pre-processing may include upscaling the object in the original image, segmenting the object from its background in the captured image, adding an outline or border stroke to the object. The post-processing techniques may include removing the object from the AI-generated background while keeping shadows and other effects in place, blurring portions of the AI-generated background where the object will be positioned, removing the outline from the object, and re-positioning the object in the AI-generated background with the outline removed.

Abstract: A sealing quality detection device for gas extraction boreholes includes a detection host, a detection pipe, a sealing element, and a three-way pipe. A plurality of air inlets and a plurality of exhaust ports are formed above the detection host, a negative pressure injector is arranged in the detection host, a quick joint and a control switch are also arranged on the detection host, the quick joint is used to be connected with an underground wind pipe, the underground wind pipe is connected to an underground compressed air tube, and the control switch is used for starting and switching off the negative pressure injector in the detection host. A sealing quality evaluating method for gas extraction boreholes is provided.

Abstract: A sealing quality detection device for gas extraction boreholes includes a detection host, a detection pipe, a sealing element, and a three-way pipe. A plurality of air inlets and a plurality of exhaust ports are formed above the detection host, a negative pressure injector is arranged in the detection host, a quick joint and a control switch are also arranged on the detection host, the quick joint is used to be connected with an underground wind pipe, the underground wind pipe is connected to an underground compressed air tube, and the control switch is used for starting and switching off the negative pressure injector in the detection host. A sealing quality evaluating method for gas extraction boreholes is provided.

Abstract: An on-line multi-component gas analysis system based on a spectral absorption technology includes a housing, wherein the housing includes an air inlet hole and an air outlet hole which are respectively connected with an air inlet pipe and an air outlet pipe, and the housing includes a dust removal and dehumidification device, a micro vacuum pump, an electronic flowmeter, and a plurality of different gas sensors; the dust removal and dehumidification device, which is configured to perform dust removal and dehumidification treatment on a gas entering from the air inlet hole; the micro vacuum pump, one end of which being connected with the dust removal and dehumidification device through a pipeline, and the other end of which being connected with the electronic flowmeter; and the plurality of different gas sensors. The disclosure includes an analysis method based on the on-line multi-component gas analysis system based on a spectral absorption technology.

Abstract: A prediction method for coal and gas outburst based on comparing borehole gas flow curves includes the following steps: constructing a seam-crossing borehole in the coal seam, measuring or calculating gas flow corresponding to critical gas pressure P, which is a reference gas flow Q(t)reference; performing linear regression on the reference gas flow Q(t)reference to form a reference flow curve; constructing a predicted seam-crossing borehole in a predicted area, and directly testing a gas flow at each time t in a delayed manner, which is a predicted gas flow Q(t)prediction; performing linear regression on the predicted gas flow Q(t)prediction to form a predicted flow curve; and judging whether the predicted flow curve is above the reference flow curve or whether the predicted flow curve intersects with the reference flow curve, and judging whether the coal seam in the predicted area has a risk of coal and gas outburst.

Abstract: A prediction method for coal and gas outburst based on comparing borehole gas flow curves includes the following steps: constructing a seam-crossing borehole in the coal seam, measuring or calculating gas flow corresponding to critical gas pressure P, which is a reference gas flow Q(t)reference; performing linear regression on the reference gas flow Q(t)reference to form a reference flow curve; constructing a predicted seam-crossing borehole in a predicted area, and directly testing a gas flow at each time t in a delayed manner, which is a predicted gas flow Q(t)prediction; prediction; performing linear regression on the predicted gas flow Q(t)prediction to form a predicted flow curve; and judging whether the predicted flow curve is above the reference flow curve or whether the predicted flow curve intersects with the reference flow curve, and judging whether the coal seam in the predicted area has a risk of coal and gas outburst.