CN105893375A - Safety production data following management based on big data - Google Patents
Safety production data following management based on big data Download PDFInfo
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- CN105893375A CN105893375A CN201410727728.4A CN201410727728A CN105893375A CN 105893375 A CN105893375 A CN 105893375A CN 201410727728 A CN201410727728 A CN 201410727728A CN 105893375 A CN105893375 A CN 105893375A
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Abstract
The invention discloses a safety production data following management based on big data. The Internet of Things technology is adopted to store and gather real-time data information collected by front-end acquisition equipment including a sensor and the like through a sensor interface, and safety production data is preprocessed through means including data cleaning, data integration, data transformation, data reduction and the like; a data resource system of the big data is established to collect and store the data, the data is recycled on the basis of an index system, and a metadata way is used for describing an incidence relationship and an internal relationship between data; the temporary interconnection access of data communication is established among multiple pieces of data terminal equipment to realize a function that data in various types of data warehouses is used for different data applications and service mechanisms; and a mathematical model is established to analyze a change rule among various types of data, and data information is sent to relevant management personnel.
Description
Technical field
The present invention relates to production safety management field, be specifically related to a kind of safety in production based on big data and follow several management method.
Background technology
At present, big data spread all over the every aspect of safety in production, production safety management trend " wisdom " under the support of big data,
By integrating Various types of data information, the operation conditions in each field of keeping the safety in production is monitored, it is achieved production safety management work
Improve and optimize.Safety in production based on big data follow number management, possess high efficiency seizure, discovery and analysis ability, it is possible to
Economically the data of, substantial amounts numerous and diverse from type excavate valuable information, it is achieved to the Real-time Collection of data message,
The function such as data storage, data analysis and comprehensive inquiry, for safety in production run integrated management, integrated dispatch, comprehensive coordination,
Comprehensive commander provides data supporting.
Summary of the invention
It is an object of the invention to provide a kind of safety in production based on big data and follow several management method, by Internet of Things, interconnected and
The technological means such as intelligent, integrates the various information resource that safety in production is relevant, it is achieved the combination of all kinds of resources, intercommunication, altogether
Enjoy, add up, analyze, assess, early warning etc., and the overall operation of safety in production is provided policy-making support.
Technical scheme is as follows:
A kind of safety in production based on big data follows several management method, it is characterised in that:
(1) data receiver and convergence, utilizes technology of Internet of things to pass through sensor interface by front-end collection equipment collections such as sensors
To real time data information carry out storing, converging
(2) by data cleansing, data integration, the means such as data convert, data regularization to safety in production data prediction,
Data message is effectively excavated；
(3) by setting up the data resource system of big data, by data acquisition, store, and based on index system
Data are carried out resource, and the incidence relation between describing data itself by metadata mode and internal connection, with metadata side
Formula describes, in order to the inquiry of data message and analysis；
(4) by setting up data communication temporary interconnection path between multiple data terminal equipments (DTE), it is achieved by all kinds of
Data in data warehouse turn to the function of different market demands and service organization；
(5) founding mathematical models, analyzes the Changing Pattern between Various types of data, and sets up SMS platform, mailing system, logical
Cross note, data message is sent to related management personnel by the form of mail.
The beneficial effect that the present invention produces includes two aspects:
The data of each side are comprehensively analyzed by statistical law based on information itself, set up the incidence relation between data,
Draw the anticipation of prediction and situation, be the solution of all kinds of essential problems being conceived to comprehensive and crucial general character；
Utilize Internet of Things, the related art method such as interconnected and intelligent that other each professional field system coordinations linkage is monitored
And management, the monitoring to day-to-day operation index, thus realize safety activities is carried out macrostate systemic and of overall importance
Monitoring.
Detailed description of the invention
Safety in production based on big data designed by the present invention follow number management, realize adopting in real time of data message by six parts
The functions such as the storage of collection, data, data analysis and comprehensive inquiry: data receiver and convergence, utilize technology of Internet of things to pass through sensor
The real time data information that the front-end collection equipment such as sensor collect is carried out storing, converging by data cleansing, data by interface
Integrated, data message, to safety in production data prediction, is effectively excavated by the means such as data convert, data regularization；Pass through
Set up the data resource system of big data, by data acquisition, store, and based on index system, data are carried out resource
Change, the incidence relation between describing data itself by metadata mode and internal connection, describe in metadata mode, in order to number
It is believed that inquiry and the analysis of breath；By setting up data communication temporary interconnection path between multiple data terminal equipments (DTE),
Realize turning to the data in Various types of data warehouse the function of different market demands and service organization；Founding mathematical models is analyzed each
Changing Pattern between class data, and set up SMS platform, mailing system etc., by note, mail form by data message
It is sent to related management personnel.
The present invention by data receiver and convergence, data prediction, the unified storage of data, the classification extraction of data, data interaction,
Market demand six part forms.
(1) data receiver and convergence
Safety in production data center realize the first step must complete keep the safety in production data convergence, before this sets up data center
Carry.The convergence technology of data completes awareness apparatus, information system and the data with other system data interface are carried out convergence.
Simultaneously in order to ensure the trackability of data, carry out the data of primary reception unifying storage.
(2) data prediction
The problem such as imperfect, inconsistent and scattered that original safety in production data all exist, it is impossible to directly form unified safety
Creation data warehouse.Creating data prediction work to improve the quality of data mining, data prediction mainly passes through data
Cleaning, data integration, data convert, data regularization etc..By to safety in production data prediction, substantially increasing data and dig
The quality of pick pattern, reduces the time required for actual excavation.
Data cleansing:
Data cleansing is by filling in the value of disappearance, smooth noise data, identifying or delete outlier and solve discordance " clearly
Wash " data.Mainly reaching following target: standardized format, abnormal data is removed, error correcting, repeats the removing of data.
Data integration:
Data in multiple data sources are combined and unify storage by data integration routine, set up the process of data warehouse actually
It it is exactly data integration.
Data convert:
By smooth gathering, Data generalization, the mode such as standardization converts the data into the form being applicable to data mining.
Data regularization:
During data mining, often data volume is very big, and carrying out mining analysis on low volume data needs long time, data regularization
Technology can be used to obtain the reduction of data set and represents, it is much smaller, but still close to keeping the integrity of former data, and tie
Fruit is identical with result before reduction or almost identical.
(3) the unified storage of data
Safety in production initial data by a series of processing of data prediction, arrange and after the process that collects completes, form one
Subject-oriented, integrated, time dependent, the metastable data acquisition system of information itself.
Data warehouse is carried out organizing by safety in production message subject, be integrated with the global information of all kinds of safety in production, be have recorded
The information of safety in production various aspects, for the support to management decision-making process.
(4) the classification extraction of data
According to safety in production data application direction, the application data type collected for professional assessment mechanism and safety in production information is not
Unanimously, data warehouse is divided into basic class data warehouse and professional data warehouse, to facilitate professional application and the service of data,
Data classification extraction process approximately as:
Confirm data and the implication thereof of data source.
Determine which file in access originator data warehouse or table, need to extract wherein which field.
Extraction frequency.Need the data of regular update data warehouse, therefore for different data sources, it is thus necessary to determine that data
The frequency of extraction, such as every day, per week, monthly or quarterly etc..
(5) data interaction
After forming the data warehouse that application is different, between multiple data terminal equipments (DTE), set up data communication the most mutual
Access.Data in Various types of data warehouse are turned to different market demands and service organization.
(6) market demand
Market demand mainly completes collecting, add up, analyze and showing of data to the data of safety in production data warehouse.Pass through
Changing Pattern between data forms the curvilinear motion between data, incited somebody to action graphically by the communication means of mobile phone, computer, TV,
The safety in production data display of tabular gives all kinds of personnel.
Claims (1)
1. safety in production based on big data follow several management method, it is characterised in that:
(1) data receiver and convergence, utilizes technology of Internet of things to pass through sensor interface by front-end collection equipment collections such as sensors
To real time data information carry out storing, converging
(2) by data cleansing, data integration, the means such as data convert, data regularization to safety in production data prediction,
Data message is effectively excavated；
(3) by setting up the data resource system of big data, by data acquisition, store, and based on index system
Data are carried out resource, and the incidence relation between describing data itself by metadata mode and internal connection, with metadata side
Formula describes, in order to the inquiry of data message and analysis；
(4) by setting up data communication temporary interconnection path between multiple data terminal equipments, it is achieved by Various types of data warehouse
In data turn to the function of different market demands and service organization；
(5) founding mathematical models, analyzes the Changing Pattern between Various types of data, and sets up SMS platform, mailing system, logical
Cross note, data message is sent to related management personnel by the form of mail.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201410727728.4A CN105893375A (en) | 2014-12-04 | 2014-12-04 | Safety production data following management based on big data |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201410727728.4A CN105893375A (en) | 2014-12-04 | 2014-12-04 | Safety production data following management based on big data |
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| CN105893375A true CN105893375A (en) | 2016-08-24 |
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| CN201410727728.4A Pending CN105893375A (en) | 2014-12-04 | 2014-12-04 | Safety production data following management based on big data |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108563665A (en) * | 2018-01-05 | 2018-09-21 | 成都兴政电子政务运营服务有限公司 | A kind of data processing system and method based on big data technology |
| CN109857732A (en) * | 2019-01-31 | 2019-06-07 | 山东省电子信息产品检验院 | A kind of industry internet platform monitoring data transmission switching method and system |
| CN110942633A (en) * | 2019-12-06 | 2020-03-31 | 北京中交华安科技有限公司 | Linkage variable speed-limiting control system and method for short connecting section of bridge and tunnel group area |
| WO2020232592A1 (en) * | 2019-05-19 | 2020-11-26 | 深圳齐心集团股份有限公司 | Stationery information scheduling system based on big data |
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| CN103530715A (en) * | 2013-08-22 | 2014-01-22 | 北京交通大学 | Grid management system and grid management method of high-speed railway train operation fixed equipment |
| CN103577605A (en) * | 2013-11-20 | 2014-02-12 | 贵州电网公司电力调度控制中心 | Data warehouse based on data fusion and data mining and application method of data warehouse |
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Patent Citations (5)
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| CN202838404U (en) * | 2012-07-06 | 2013-03-27 | 北京天大天科科技发展有限公司 | Coal mine data integration and management device |
| CN103413210A (en) * | 2013-08-15 | 2013-11-27 | 上海云翎物联网科技有限公司 | Emergency material management system based on internet of things technology |
| CN103530715A (en) * | 2013-08-22 | 2014-01-22 | 北京交通大学 | Grid management system and grid management method of high-speed railway train operation fixed equipment |
| CN103577605A (en) * | 2013-11-20 | 2014-02-12 | 贵州电网公司电力调度控制中心 | Data warehouse based on data fusion and data mining and application method of data warehouse |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108563665A (en) * | 2018-01-05 | 2018-09-21 | 成都兴政电子政务运营服务有限公司 | A kind of data processing system and method based on big data technology |
| CN109857732A (en) * | 2019-01-31 | 2019-06-07 | 山东省电子信息产品检验院 | A kind of industry internet platform monitoring data transmission switching method and system |
| WO2020232592A1 (en) * | 2019-05-19 | 2020-11-26 | 深圳齐心集团股份有限公司 | Stationery information scheduling system based on big data |
| CN110942633A (en) * | 2019-12-06 | 2020-03-31 | 北京中交华安科技有限公司 | Linkage variable speed-limiting control system and method for short connecting section of bridge and tunnel group area |
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Application publication date: 20160824 |