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Deep learning programming method and system based on digital twin DaaS platform

A technology of deep learning and programming methods, applied in neural learning methods, biological neural network models, software deployment, etc., can solve problems such as high labor costs and low efficiency of equipment optimization and upgrading, and achieve the effect of improving accuracy

Active Publication Date: 2022-03-08
SHENZHEN BBAI INFORMATION TECH CO LTD
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Problems solved by technology

[0003] The main purpose of this application is to provide a deep learning programming method based on the digital twin DaaS platform, aiming to solve the technical problems of low efficiency in business process and equipment optimization and upgrading and high labor costs in the prior art

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  • Deep learning programming method and system based on digital twin DaaS platform
  • Deep learning programming method and system based on digital twin DaaS platform
  • Deep learning programming method and system based on digital twin DaaS platform

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Embodiment Construction

[0037] It should be understood that the specific embodiments described here are only used to explain the present application, not to limit the present application.

[0038] The embodiment of the present application provides a deep learning programming method based on the digital twin DaaS (data as a service) platform. In the first embodiment of the deep learning programming method based on the digital twin DaaS platform in this application, refer to figure 1 , the deep learning programming method based on the digital twin DaaS platform includes:

[0039] Step S10, acquiring the equipment operation data of each sub-operation flow in the business flow of different terminal equipment, wherein the equipment operation data includes the process number of each sub-operation flow;

[0040]In the embodiment, it should be noted that the deep learning programming is applied to the artificial intelligence Internet of Things (AIOT) platform, and the artificial intelligence Internet of Thin...

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Abstract

The invention discloses a deep learning programming method and system based on a digital twin DaaS platform, and the method comprises the steps: obtaining the equipment operation data of each sub-operation process in the business processes of different terminal devices, and enabling the equipment operation data to comprise the process number of each sub-operation process, and performing data modeling on the equipment operation data of each sub-operation process in the different terminal equipment, performing comparative analysis, judging whether the terminal equipment needs to be upgraded and optimized or not based on an analysis result, performing deep learning programming on the equipment operation data of each sub-operation process based on a trained time sequence programming model, and if not, performing deep learning programming on the equipment operation data of each sub-operation process. A target operation code is automatically generated, the target operation code is upgraded to the corresponding terminal equipment in a distributed mode, and the time sequence programming model is constructed based on equipment operation data, collected in advance, of all sub-operation processes corresponding to service processes in different terminal equipment. According to the method and the device, the problems of relatively low business process and equipment optimization upgrading efficiency and relatively high labor cost are solved.

Description

technical field [0001] This application relates to the field of artificial intelligence Internet of Things, in particular to a deep learning programming method and system based on a digital twin DaaS platform. Background technique [0002] During the operation of the terminal equipment, it is often necessary to detect whether the terminal equipment needs to be upgraded and optimized. At present, the method of terminal equipment optimization and upgrading is usually based on the operation data of the terminal equipment, and the technicians manually upgrade the code, and manually optimize the terminal equipment. The code requires high labor costs, which leads to low efficiency in the optimization and upgrading of terminal equipment, and affects the operation effect of terminal equipment. Contents of the invention [0003] The main purpose of this application is to provide a deep learning programming method based on the digital twin DaaS platform, which aims to solve the tech...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F8/65G06F8/71G06N3/08
CPCG06F8/65G06F8/71G06N3/08
Inventor 刘天琼
Owner SHENZHEN BBAI INFORMATION TECH CO LTD
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