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Artificial intelligence-based method and system applied to safety production

A technology of artificial intelligence and safe production, applied in the field of artificial intelligence, can solve problems such as loose management and easy handling of monitoring loopholes

Inactive Publication Date: 2021-11-12
山东红舟信创人工智能有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] However, the number of mining personnel in the mining area, mining personnel information, personnel demand information required by the current mining process, equipment operation safety status information, etc. cannot be managed in a more detailed manner, resulting in loose management and easy handling of monitoring loopholes. lead to mine safety accidents

Method used

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  • Artificial intelligence-based method and system applied to safety production
  • Artificial intelligence-based method and system applied to safety production
  • Artificial intelligence-based method and system applied to safety production

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Experimental program
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Embodiment 1

[0035] see figure 1 , figure 1 A schematic diagram of the steps of an artificial intelligence-based method applied to safe production provided by the embodiment of the present invention is as follows:

[0036] Step S100, in the monitoring and maintenance of the preset production environment, perform data collection and status monitoring on the monitoring subject, so as to obtain image information;

[0037] In some implementations, the monitoring subject can be the water level. Through real-time monitoring of the water level, if the water volume suddenly increases, the system will give an alarm in time to notify the production personnel to quickly discharge the accumulated water to avoid safety accidents.

[0038]In some implementations, images of the production environment are collected to determine whether the water level is too high, if not, the result of the determination is transmitted to the artificial intelligence learning database, and if so, a system alarm is issued. ...

Embodiment 2

[0046] see figure 2 , figure 2 A schematic diagram of detailed steps of an artificial intelligence-based method applied to safe production provided by an embodiment of the present invention is as follows:

[0047] Step S200, by creating a data set, managing and labeling data that needs to be trained.

[0048] Step S210, perform in-depth customization and optimization based on the notebook modeling tool, create, release, and delete the modeling task of the notebook, and the query list of the modeling task of the notebook can display the experimental status and detailed information.

[0049] In step S220, when the image feature extraction has completed the convolution calculation, a classifier is used to label the image feature data output by the last convolution layer of the image feature extraction model to obtain the labeling result.

[0050] In step S230, it is determined whether to continue the training or to end the training according to the labeling result, until it i...

Embodiment 3

[0064] see image 3 , image 3 A schematic diagram of an artificial intelligence-based system module applied to safe production provided by the embodiment of the present invention is as follows:

[0065] The collection module 10 is used to collect data and monitor the state of the monitoring subject during the monitoring and maintenance of the preset production environment, so as to obtain image information;

[0066] The extraction module 20 is used to perform feature extraction according to the image information, and identify whether the preset condition is met, and provide feedback according to the identification result;

[0067] The training processing module 30 is used for inputting the feedback results into the database, and continuously improving the database so that the artificial intelligence algorithm can predict possible situations and perform event processing.

[0068] Such as Figure 4 As shown, the embodiment of the present application provides an electronic devi...

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Abstract

The invention provides an artificial intelligence-based method and system applied to safety production, and relates to the field of artificial intelligence. The artificial intelligence-based method applied to safety production comprises the following steps: in preset production environment monitoring and maintenance, carrying out data collection and state monitoring on a monitoring main body so as to obtain image information; performing feature extraction according to the image information, identifying whether a preset condition is met, and performing feedback according to an identification result; and inputting a feedback result into a database, continuously perfecting the database to enable an artificial intelligence algorithm to predict a possible situation, and carrying out event processing. The method can track a monitoring main body, remove the content irrelevant to the monitoring main body, and analyze the motion trail according to the image difference to carry out motion pre-judgment, thereby achieving the purpose of intelligent monitoring and alarm. In addition, the invention also provides an artificial intelligence-based system applied to safety production.

Description

technical field [0001] The present invention relates to the field of artificial intelligence, in particular to an artificial intelligence-based method and system applied to safe production. Background technique [0002] At present, according to the business framework of the coal industry, the business applications of the coal industry are generally divided into five business domains: intelligent perception, production execution, safety assurance, production operation, and comprehensive decision-making. The data in it is processed through big data analysis and artificial intelligence to provide open and shared application services for departments at all levels. Among the five major business domains, the smart perception business domain generally includes mine safety monitoring, personnel positioning, mine pressure monitoring, dust monitoring, coal and gas outburst monitoring, fire prevention monitoring, water environment monitoring, atmospheric environment monitoring, acousti...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06F16/21G06F16/28G06Q10/10G06Q50/02
CPCG06F16/212G06F16/283G06Q10/103G06Q50/02
Inventor 吕恩
Owner 山东红舟信创人工智能有限公司
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