Data mining-based elevator accident pre-warning and forecasting system

A technology of data mining and forecasting system, applied in the field of data processing, can solve problems such as incomplete realization of early warning and forecasting of elevator accidents, and achieve the effects of novel design concept, improved efficiency, and guaranteed adequacy

Inactive Publication Date: 2017-12-12
洛川闰土农牧科技有限责任公司
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Problems solved by technology

[0002] At present, although there are more and more domestic researches on big data in elevator safety, the intelligent management mode of elevators also provides greater possibilities for the application of big data in elevator safety. In recent years, many cities in my country have become more The big data platform has gradually realized the control of elevator safety, strengthened the maintenance level of elevators, and improved the rescue efficiency of elevators, but the early warning and forecast of elevator accidents has not yet been fully realized

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  • Data mining-based elevator accident pre-warning and forecasting system
  • Data mining-based elevator accident pre-warning and forecasting system

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Embodiment Construction

[0022] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0023] A kind of elevator accident early warning system based on data mining provided by the present invention comprises the following parts:

[0024] The first part, data import module: import the data in the database SQLServer of the elevator remote supervision system to HDFS or Hive of the Hadoop platform, and build a data warehouse for subsequent data mining.

[0025] In this embodiment, some tables need to import all historical data in the database into HDFS at one time, that is, full import; some tables require the module to periodically import the data of the previous day into HDFS, that is, incremental import. In this way, the data in the data warehouse can be synchronized with the database, which also reflects the time-varying characteristics of the data warehouse.

[0026] The second part, data preprocessing module: the main functi...

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Abstract

The invention discloses a data mining-based elevator accident pre-warning and forecasting system. The system comprises a data import module, a data mining module and a data export module, which are operated on a Hadoop platform, wherein the data import module is used for importing original data in an elevator remote supervision system database SQLServer to serve as a data source of data mining, and storing the data source; the data mining module is used for carrying out data mining on the stored data source; and the data export module is used for exporting a result obtained by the data mining into the elevator remote supervision system database SQLServer for subsequent analysis. The data mining-based elevator accident pre-warning and forecasting system is capable of carrying out clustering analysis and association rule mining on elevator data, so that the sufficiency of data mining is ensured, the efficiency of data mining is improved, and powerful data support is provided for the pre-warning and forecasting of elevator accidents; and the system is suitable for elevator monitoring and elevator rescue.

Description

technical field [0001] The invention belongs to the technical field of data processing, and in particular relates to an elevator accident early warning and forecast system based on data mining. Background technique [0002] At present, although there are more and more domestic researches on big data in elevator safety, the intelligent management mode of elevators also provides greater possibilities for the application of big data in elevator safety. In recent years, many cities in my country have become more The big data platform has gradually realized the management and control of elevator safety, strengthened the maintenance level of elevators, and improved the rescue efficiency of elevators, but the early warning and forecast of elevator accidents has not yet been fully realized. Contents of the invention [0003] The purpose of the present invention is to provide a data mining-based early warning and forecasting system for elevator accidents, which adopts Hadoop platfor...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06K9/62
CPCG06F16/182G06F16/215G06F16/2471G06F18/23213
Inventor 冯晓鹏李文峰冯晨琛谢晶冯永明
Owner 洛川闰土农牧科技有限责任公司
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