| CPC G01N 33/1886 (2013.01) [G01N 21/3103 (2013.01); B63B 2022/006 (2013.01); G01N 2021/3133 (2013.01); G16C 20/70 (2019.02)] | 9 Claims |

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1. A neural network-based water quality monitoring device for a marine ranch, comprising:
a floating board (1) and a host computer monitor (2), wherein the host computer monitor (2) is disposed on a top of the floating board (1), and the host computer monitor (2) is provided with a water quality monitoring system, and the water quality monitoring system is configured to collect water quality parameters of the marine ranch and analyze the collected water quality parameters;
wherein the water quality monitoring system comprises an environmental monitoring unit, a data acquisition unit, a wireless transmission unit, and a data integration unit; the environmental monitoring unit is configured to use a hyperspectral water quality multiparameter monitor to monitor continuous spectral segments within a target wavelength range in water body in the marine ranch to monitor in real time data comprising a concentration of dissolved substances in the water body, growth of algae, water pollution, water color, and presence of solid floating objects on a water surface of the marine ranch; the data acquisition unit is configured to use a data collector to collect the monitored data from the environmental monitoring unit; the wireless transmission unit comprises a coordinator, and the coordinator is configured to upload the collected data to a neural network for analysis and processing; and the data integration unit is configured to use a central processor to accumulate and integrate data generated during an operation of the marine ranch, and employ cloud computing technology to conduct analysis and mining of intrinsic relationships and objective laws among objectives in the marine ranch;
wherein connection mechanisms (3) are uniformly distributed on a bottom of the floating board (1), a bottom of each of the connection mechanisms (3) is provided with a placement board (4); a top of the placement board (4) is provided with two water quality parameter detection mechanisms (5) symmetrically arranged, and the two water quality parameter detection mechanisms (5) are disposed at two sides of the connection mechanisms (3); a back side of the two water quality parameter detection mechanisms (5) is provided with a sampling mechanism (6), and the sampling mechanism (6) is configured to collect water samples from different time periods; and
wherein the sampling mechanism (6) comprises a hook ring (7) disposed on an outer surface of the floating board (1), a top of the floating board (1) is provided with positioning rods (8), and the positioning rods (8) are disposed at an outer side of the host computer monitor (2); a longitudinal section of each of the positioning rods (8) is T-shaped, and outer surfaces of the positioning rods (8) are wound with connecting ropes (9), an end of a corresponding one of the connecting ropes (9) passes through the hook ring (7) and is connected to a sampling bucket (10); a bottom of the sampling bucket (10) defines a sampling hole (27), a mesh plate (12) is disposed in the sampling hole (27); the bottom of the sampling bucket (10) defines a groove (28), and the groove (28) is connected to the sampling hole (27); a sealing plug (13) is disposed in the groove (28), a bottom of the sealing plug (13) is in contact with a top of the mesh plate (12); a perforated baffle (16) is disposed in the sampling bucket (10), and the perforated baffle (16) is configured to position the sealing plug (13); a bottom of the sealing plug (13) is embedded with a first electromagnet (15), the bottom of the groove (28) is embedded with a first iron block (14), and a top of the first iron block is in contact with a bottom of the first electromagnet (15).
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