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Smart city water area garbage density detection method based on CIM and block chain

A technology for density detection and garbage in water areas, which is applied in neural learning methods, structured data retrieval, biological neural network models, etc., can solve problems such as lack of intelligence, and achieve the goal of improving safety performance, stability, and parallelism Effect

Inactive Publication Date: 2020-09-01
陈金山
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AI Technical Summary

Problems solved by technology

However, when to salvage surface garbage still requires human judgment, which is not intelligent

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  • Smart city water area garbage density detection method based on CIM and block chain
  • Smart city water area garbage density detection method based on CIM and block chain

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Embodiment 1

[0044] The invention mainly detects the garbage in the urban water area to realize the environmental protection of the urban water area.

[0045] Urban construction should seize the convenience brought by technology, rely on BIM and other information technology, build a city-specific CIM model, continuously integrate resources, identify positioning, explore new paths for smart city construction, and improve urban service levels and service quality.

[0046] Firstly, the internal relationship between the CIM city information model and the information exchange module and the water area garbage density detection system is constructed.

[0047] CIM refers to the organic synthesis of three-dimensional urban space model and building information based on urban information data, mainly composed of urban GIS data and BIM data.

[0048] The information exchange module mainly includes the three-dimensional urban space model and urban information, and will update its model and information...

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Abstract

The invention discloses a smart city water area garbage density detection method based on a CIM and a block chain. The method comprises the following steps: constructing a city information model of athree-dimensional digital space; establishing a water area garbage density detection deep neural network; training a water area garbage density detection neural network; splitting the water area garbage density detection deep neural network reasoning task into a plurality of sub-reasoning tasks according to the number of network layers, and allocating the sub-reasoning tasks to cloud host nodes; connecting blocks distributed in different cloud host nodes to generate a block chain private chain; performing deep neural network reasoning, and outputting a water area garbage density map and a water area garbage density level; and visualizing the city information model through a WebGIS technology. By means of the method, intelligent smart city water area garbage density detection is achieved, convenience is provided for water area garbage salvage, the detection precision and efficiency are high, the needed cost is low, and data privacy protection in the data processing process is well guaranteed.

Description

technical field [0001] The invention relates to the technical fields of artificial intelligence, smart city, CIM and block chain, in particular to a method for detecting garbage density in water area of ​​smart city based on CIM and block chain. Background technique [0002] At present, the global information technology is developing at an accelerated rate, and the status of information technology in the national economy is becoming increasingly prominent. The construction of smart cities has important strategic significance for the overall improvement of a country's comprehensive competitiveness. [0003] The emergence of smart cities stems from the new generation of information technology represented by the Internet of Things, cloud computing, mobile Internet, and artificial intelligence and the open urban innovation ecology that is gradually bred under the environment of a knowledge society. Smart city emphasizes the use of a new generation of information technology and t...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08G06F16/29
CPCG06N3/08G06F16/29G06V20/10G06N3/045G06F18/241
Inventor 陈金山夏晶婷
Owner 陈金山
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