6results about How to "Achieve wide coverage" patented technology

The invention provides a Class C inductance-capacitance voltage-controlled oscillator with a wide tuning range, which belongs to the technical field of voltage-controlled oscillators and is composed of an LC resonance circuit and a negative resistance area circuit which are connected in parallel. The LC resonant circuit comprises an on-chip symmetrical spiral inductor, a switched capacitor array, a first variable capacitance tube CV1 and a second variable capacitance tube CV2; the negative resistance area circuit comprises a tail current tube M, a first filter capacitor C1, a second filter capacitor C2, a first cross coupling triode Q0, a second cross coupling triode Q1, a first resistor R0, a second resistor R1, a first filter inductor L3 and a second filter inductor L4; the negative resistance area circuit is connected with the LC resonance circuit; through the switched capacitor array and the two variable capacitance tubes which are matched with each other, the wide tuning range frequency output is realized, and through improving the structure of the switched capacitor array, the anti-interference performance is enhanced, and the phase noise is optimized at the same time.

The invention belongs to the field of waterlogging monitoring, and discloses a low-altitude unmanned aerial vehicle waterlogging inspection method and system based on deep learning, and the method comprises the steps: obtaining a remote sensing visible light image with high temporal-spatial resolution through a low-altitude unmanned aerial vehicle, and uploading the data of the unmanned aerial vehicle to a cloud end through a 5G communication technology; according to the deep learning waterlogging automatic identification and analysis model based on unmanned aerial vehicle waterlogging image segmentation, real-time identification and segmentation of waterlogging are carried out, and tour inspection of urban waterlogging information is efficiently, accurately and rapidly realized; unmanned aerial vehicle track information and image edge features are combined to splice an inspection area map to segment a waterlogging area and draw and update an urban waterlogging spatial-temporal distribution pattern, and technical support and basic data support are provided for disaster reduction and prevention, emergency rescue and disaster assessment of urban waterlogging disasters.

This invention discloses a multi-terminal network audio broadcasting system, belonging to the field of audio broadcasting technology. It includes a central server and multiple distributed audio terminals. The central server comprises: a geographic information module for storing digital elevation models and the deployment locations of each audio terminal; an adaptive coding module for dynamically adjusting the redundancy coding rate of the audio stream based on link quality feedback reported by each audio terminal; and a routing calculation module for generating a multi-hop broadcast tree based on a terrain-compensated propagation loss model. Each audio terminal includes a positioning module for collecting its real-time geographic coordinates and reporting them to the central server. This invention achieves accurate path loss calculation, adaptive redundancy coding, dynamic power adjustment, intelligent broadcast tree construction, efficient packet loss recovery, and dynamic relay coverage, improving the coverage, stability, and energy efficiency of audio broadcasting.

The application provides a sampling device and a sampling method, relates to the technical field of mining material sampling, and aims to solve the problems of blind coverage, human error, low efficiency, high labor intensity, and poor working environment in the traditional manual sampling mode to some extent. The sampling device provided by the application comprises a stand, a first cantilever, a second cantilever, a mast and a spiral sampling mechanism. The first end of the first cantilever is rotatably connected to the top of the stand. The first end of the second cantilever is rotatably connected to the second end of the first cantilever. The top of the mast is connected to the second end of the second cantilever. The mast comprises a lifting mechanism. The spiral sampling mechanism is connected to the mast through the lifting mechanism and can be lifted along the mast through the lifting mechanism. The spiral sampling mechanism comprises a sampling drive, a spiral sampling head and a sampling assembly. The output end of the sampling drive is connected to the spiral sampling head. The sampling assembly is used for collecting the material collected by the spiral sampling head.

The utility model relates to the technical field of cooling devices. An energy-saving cooling device for a closed space without a compressor comprises a box body, a plurality of parallel aluminum heat exchange tubes are arranged in the box body, one end of each aluminum heat exchange tube is arranged on the outer wall of one side of the box body, and the other end of each aluminum heat exchange tube is arranged on the outer wall of the other side of the box body. The grooves are formed in the outer surfaces of the aluminum heat exchange pipes, air guide pipelines are arranged on the two sides of the box body and comprise ventilation pipes and draught fans, one ends of the ventilation pipes are arranged on the side face of the box body and communicate with the aluminum heat exchange pipes, the draught fans are arranged at the other ends of the ventilation pipes, and pipeline connectors communicating with the interior of the box body are arranged on the other two sides of the box body. The utility model has the beneficial effects that effective cooling can be realized without using a compressor, the energy consumption cost is reduced, and the occupied space is reduced.

The present invention belongs to the field of waterlogging monitoring, and discloses a low-altitude UAV waterlogging inspection method and system based on deep learning, the method comprising: obtaining remote sensing visible light images with high temporal and spatial resolution through a low-altitude UAV, and uploading the UAV data to the cloud using 5G communication technology; performing real-time identification and segmentation of waterlogging based on a deep learning automatic waterlogging recognition and analysis model of UAV waterlogging image segmentation, and realizing inspection of urban waterlogging information efficiently, accurately and quickly; combining UAV trajectory information and image edge feature splicing inspection area maps to segment waterlogged areas and draw and update the spatiotemporal distribution pattern of urban waterlogging, so as to provide technical support and basic data support for disaster reduction, prevention, emergency rescue and disaster assessment of urban waterlogging disasters.