Abstract: Embodiments of the present application provide a GRPC-based chip test method, a GRPC-based chip test apparatus, and a storage medium. The GRPC-based chip test method comprises: determining a number of to-be-tested chips that actually need to be tested among to-be-tested chips, and issuing a corresponding number of remote instrument call requests according to the number of to-be-tested chips that actually need to be tested; acquiring each of the remote instrument call requests based on a GRPC protocol; and sorting all the remote instrument call requests to form a request execution sequence table, and controlling the test instrument to sequentially test the to-be-tested chips that actually need to be tested according to the request execution sequence table.

Abstract: The present application provides techniques of controlling playing videos. The techniques comprise sending a live streaming request to a server according to a user instruction; receiving live streaming data pushed by the server based on the live streaming request and a configuration parameter configured to a live streaming status; playing a video based on the live streaming data; and controlling a speed of playing the video based on the configuration parameter and unplayed live streaming data in the live streaming data.

Abstract: The coastal ecosystem carbon pool estimation method of the invention belongs to the field of environmental assessment, and includes the following steps: (a) determining the spatial boundary of the coastal ecosystem; (b) determining the dominant plant classification area of the coastal ecosystem; (c) calculating the carbon source of the freshwater plant dominant area; (d) size setting of carbon source sampling point in coastal ecosystem; (e) sampling method of carbon source sampling point in coastal ecosystem; (f) carbon source estimation method in coastal ecosystem.

Abstract: The present application provides techniques of controlling playing videos. The techniques comprise sending a live streaming request to a server according to a user instruction; receiving live streaming data pushed by the server based on the live streaming request and a configuration parameter configured to a live streaming status; playing a video based on the live streaming data; and controlling a speed of playing the video based on the configuration parameter and unplayed live streaming data in the live streaming data.

Abstract: A risk prediction and early warning method for water environments based on a water environment model predicting pollution discharge information for all pollution sources in a watershed, and including: selecting pollution sources requiring environmental risk prediction and early warning and dividing these into different risk prediction/early warning levels; determining from official environmental monitoring data and literature research initial elements for environmental pollution risk evaluation; obtaining principal pollution elements affecting pollution events; generating a plurality of environmental risk prediction and early warning models; forming a comprehensive fuzzy risk prediction and early warning model by combining the several risk prediction and early warning models having the best selective performance; inputting principal pollution element values into the comprehensive fuzzy risk prediction and early warning model, and predicting risk values for pollution events at pollution sources.

Abstract: A risk prediction and early warning method for water environments based on a water environment model predicting pollution discharge information for all pollution sources in a watershed, and including: selecting pollution sources requiring environmental risk prediction and early warning and dividing these into different risk prediction/early warning levels; determining from official environmental monitoring data and literature research initial elements for environmental pollution risk evaluation; obtaining principal pollution elements affecting pollution events; generating a plurality of environmental risk prediction and early warning models; forming a comprehensive fuzzy risk prediction and early warning model by combining the several risk prediction and early warning models having the best selective performance; inputting principal pollution element values into the comprehensive fuzzy risk prediction and early warning model, and predicting risk values for pollution events at pollution sources.

Abstract: A fault detection and positioning system for a cell panel in a large-scale photovoltaic array, includes a first photovoltaic panel fault detection and positioning system, a second photovoltaic panel fault detection and positioning system, and/or a third photovoltaic panel fault detection and positioning system. The detection and positioning system can detect faults of panels in the photovoltaic array in real time, especially accurately positioning a photovoltaic panel in which a fault occurs; the number of sensors can be minimized, so that the detection costs can be reduced; and the system can be easily implemented and mounted in existing power stations.

Abstract: A fault detection and positioning system for a cell panel in a large-scale photovoltaic array, includes a first photovoltaic panel fault detection and positioning system, a second photovoltaic panel fault detection and positioning system, and/or a third photovoltaic panel fault detection and positioning system. The detection and positioning system can detect faults of panels in the photovoltaic array in real time, especially accurately positioning a photovoltaic panel in which a fault occurs; the number of sensors can be minimized, so that the detection costs can be reduced; and the system can be easily implemented and mounted in existing power stations.