A non-coal mine safety production risk prediction and early warning platform

Abstract

The invention relates to a non-coal mine safety production risk prediction and early warning platform which comprises a data acquisition module, a data ETL processing module, a data prediction moduleand an early warning module. The data acquisition module transmits the acquired non-coal mine production index data needing to be analyzed to the data ETL processing module for processing; and the processed index data is transmitted to the data prediction module, the data prediction module carries out safety production risk prediction according to the received data and transmits a prediction result to the early warning module, and risk prediction and early warning of non-coal mine safety production are achieved. The non-coal mine safety production and risk monitoring data can be collected, arranged, predicted, early-warned and analyzed, macroscopic decision support is provided for government supervision departments, and risk early-warning services are provided for enterprises.

Description

technical field [0001] The invention relates to a risk prediction and early warning platform, in particular to a non-coal mine safety production risk prediction and early warning platform. Background technique [0002] In recent years, the safety production situation of non-coal mines in my country has gradually become the focus of attention of the government and the public. With the strengthening of safety law enforcement and the standardization of safety production supervision and management, although the number of casualties has decreased slightly, the overall safety production situation is still grim. One after another, mine disasters and occupational injury accidents emerge one after another, which seem to be the companions of my country's rapid economic development. Doing a good job in ensuring the safe production of non-coal mines and ensuring the safe production of non-coal mines has become a key research field for major companies. [0003] At present, in order to ...

AI Technical Summary

Problems solved by technology

However, the current safety production monitoring system has the following deficiencies: (1) Most of these monitoring systems are installed locally and only for the application of a single mine, which is not conducive to the access of safety supervision agencies at all levels, and the collected data is not conducive to aggregation for use Big Data Mining and Predictive Analytics

(2) The current monitoring system mainly relies on dynamic data collected by sensors and is limited to basic functions such as data statistical analysis and report viewing, lacking related functions such as data mining and forecasting and early warning

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