CN109284341A - A kind of energy efficiency monitoring big data analysis system and method - Google Patents
A kind of energy efficiency monitoring big data analysis system and method Download PDFInfo
- Publication number
- CN109284341A CN109284341A CN201811168271.2A CN201811168271A CN109284341A CN 109284341 A CN109284341 A CN 109284341A CN 201811168271 A CN201811168271 A CN 201811168271A CN 109284341 A CN109284341 A CN 109284341A
- Authority
- CN
- China
- Prior art keywords
- data
- module
- analysis
- energy efficiency
- efficiency monitoring
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a kind of energy efficiency monitoring big data analysis system and methods, including CPU module, energy efficiency monitoring data acquisition module, data categorization module and data analysis module, CPU module is separately connected energy efficiency monitoring data acquisition module, data categorization module and data analysis module, CPU module is also respectively connected with database module, memory module and analysis data outputting module, structure of the invention principle is simple, it can be realized the classification and analysis to energy efficiency monitoring data, realize the safety management to big data.
Description
Technical field
The present invention relates to efficiency data analysis technique field, specially a kind of energy efficiency monitoring big data analysis system and side
Method.
Background technique
Energy monitor is exactly that national one pushed energetically at present carries out in real time energy consumption situation about all trades and professions
On-line monitoring, data statistic analysis, energy management include that enterprise's use can plan, and national energy consumption index is realized, reasonable energy, is saved
It with energy, and is able to achieve report and generates online, be exactly in brief, to energy unit with can be carried out management, management is established big
On the data analysis foundation of amount, raising formation efficiency, while energy-saving and emission-reduction are finally reached, cost is reduced.
Current energy efficiency monitoring system can be realized the preliminary analysis to big data, but its analysis efficiency is low, Wu Fashi
Now to the classification of data, and it can not effectively ensure the safety of data, therefore, it is necessary to improve.
Summary of the invention
The purpose of the present invention is to provide a kind of energy efficiency monitoring big data analysis system and methods, to solve above-mentioned background skill
The problem of being proposed in art.
To achieve the above object, the invention provides the following technical scheme: a kind of energy efficiency monitoring big data analysis system, packet
Include CPU module, energy efficiency monitoring data acquisition module, data categorization module and data analysis module, the central processing
Device module is separately connected energy efficiency monitoring data acquisition module, data categorization module and data analysis module, the central processing unit
Module is also respectively connected with database module, memory module and analysis data outputting module.
Preferably, the data analysis module includes data processing unit and data security analysis unit, at the data
Reason unit is bi-directionally connected data security analysis unit, and the data security analysis unit includes log management module and data behavior
Analysis module, the log management module are connect with data behavior analysis module, and the data behavior analysis module includes data
Environment runs module, data run interpretation of result module and data safety detection module, the data environment operation module with
The connection of data run interpretation of result module, and data run interpretation of result module is connect with Information Security detection module.
Preferably, the data categorization module classification method is as follows:
A, characteristic point is set, then classifies to the characteristic point of setting, obtains characteristic point classification result；
B, energy efficiency monitoring data are pre-processed, then pretreated data is identified, judge that pretreated data contain
The characteristic point of some settings；
C, the classification of the characteristic point of the setting contained according to characteristic point classification result to pretreated data distinguishes, then
Classify according to result is distinguished to data, obtains data classification result.
Preferably, application method the following steps are included:
A, energy efficiency monitoring data collecting module collected efficiency big data and it is transmitted to CPU module；
B, the big data of acquisition is transmitted in data categorization module and classifies by CPU module, obtains sorted number
According to；
C, sorted data are transmitted in data analysis module and safety analysis is carried out to data behavior, assessed later；
D, the data after assessment are transmitted in memory module and are saved, exported finally by analysis data outputting module to external whole
End.
Compared with prior art, the beneficial effects of the present invention are:
(1) structure of the invention principle is simple, can be realized classification and analysis to energy efficiency monitoring data, realizes the peace to big data
Full management.
(2) data analysis module that the present invention uses enhances the safety of big data well, realizes to big data
Both having carried out Log security analysis has progress data behavior safety analysis, has reached the mesh assessed the result of safety analysis
, it ensure that the safety of data, to greatly facilitate safety management of the people to big data system.
(3) classification method that the present invention uses can be improved the identification accuracy of data, and then improve the classification essence of data
Exactness avoids the occurrence of error in classification.
Detailed description of the invention
Fig. 1 is invention's principle block diagram；
Fig. 2 is classification method flow chart of the present invention；
Fig. 3 is present system flow chart.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Fig. 1-3 is please referred to, the present invention provides a kind of technical solution: a kind of energy efficiency monitoring big data analysis system, including in
Central processor module 1, energy efficiency monitoring data acquisition module 2, data categorization module 3 and data analysis module 4, the central processing
Device module 1 is separately connected energy efficiency monitoring data acquisition module 2, data categorization module 3 and data analysis module 4, the centre
Reason device module 1 is also respectively connected with database module 5, memory module 6 and analysis data outputting module 7.
In the present invention, data analysis module 4 includes data processing unit 8 and data security analysis unit 9, at the data
Reason unit 8 is bi-directionally connected data security analysis unit 9, and the data security analysis unit 9 includes 10 sum number of log management module
According to behavioural analysis module 11, the log management module 10 is connect with data behavior analysis module 11, the data behavioural analysis
Module 11 includes data environment operation module 12, data run interpretation of result module 13 and data safety detection module 14, institute
It states data environment operation module 12 to connect with data run interpretation of result module 13, and data run interpretation of result module 13 and number
It is connected according to safety detection module 14.The data analysis module that the present invention uses enhances the safety of big data well, real
Showed and both carried out Log security analysis to big data and have to carry out data behavior safety analysis, reached to the result of safety analysis into
The purpose of row assessment, ensure that the safety of data, to greatly facilitate safety management of the people to big data system.
In the present invention, data categorization module classification method is as follows:
A, characteristic point is set, then classifies to the characteristic point of setting, obtains characteristic point classification result；
B, energy efficiency monitoring data are pre-processed, then pretreated data is identified, judge that pretreated data contain
The characteristic point of some settings；
C, the classification of the characteristic point of the setting contained according to characteristic point classification result to pretreated data distinguishes, then
Classify according to result is distinguished to data, obtains data classification result.
The classification method that the present invention uses can be improved the identification accuracy of data, and then the classification for improving data is accurate
Degree, avoids the occurrence of error in classification.
Working principle: application method of the invention the following steps are included:
A, energy efficiency monitoring data collecting module collected efficiency big data and it is transmitted to CPU module；
B, the big data of acquisition is transmitted in data categorization module and classifies by CPU module, obtains sorted number
According to；
C, sorted data are transmitted in data analysis module and safety analysis is carried out to data behavior, assessed later；
D, the data after assessment are transmitted in memory module and are saved, exported finally by analysis data outputting module to external whole
End.
In conclusion structure of the invention principle is simple, classification and analysis to energy efficiency monitoring data, realization pair can be realized
The safety management of big data.
It although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
A variety of variations, modification, replacement can be carried out to these embodiments without departing from the principles and spirit of the present invention by understanding
And modification, the scope of the present invention is defined by the appended.
Claims (4)
1. a kind of energy efficiency monitoring big data analysis system, including CPU module (1), energy efficiency monitoring data acquisition module
(2), data categorization module (3) and data analysis module (4), it is characterised in that: the CPU module (1) is separately connected
Energy efficiency monitoring data acquisition module (2), data categorization module (3) and data analysis module (4), the CPU module
(1) database module (5), memory module (6) and analysis data outputting module (7) are also respectively connected with.
2. a kind of energy efficiency monitoring big data analysis system according to claim 1, it is characterised in that: the data analyze mould
Block (4) includes data processing unit (8) and data security analysis unit (9), and the data processing unit (8) is bi-directionally connected data
Safety analysis unit (9), the data security analysis unit (9) include log management module (10) and data behavioural analysis module
(11), the log management module (10) connect with data behavior analysis module (11), the data behavior analysis module (11)
Including data environment operation module (12), data run interpretation of result module (13) and data safety detection module (14), institute
It states data environment operation module (12) to connect with data run interpretation of result module (13), and data run interpretation of result module
(13) it is connect with Information Security detection module (14).
3. a kind of energy efficiency monitoring big data analysis system according to claim 1, it is characterised in that: the data classification mould
Block sort method is as follows:
A, characteristic point is set, then classifies to the characteristic point of setting, obtains characteristic point classification result；
B, energy efficiency monitoring data are pre-processed, then pretreated data is identified, judge that pretreated data contain
The characteristic point of some settings；
C, the classification of the characteristic point of the setting contained according to characteristic point classification result to pretreated data distinguishes, then
Classify according to result is distinguished to data, obtains data classification result.
4. realizing a kind of application method of energy efficiency monitoring big data analysis system described in claim 1, it is characterised in that: it makes
With method the following steps are included:
A, energy efficiency monitoring data collecting module collected efficiency big data and it is transmitted to CPU module；
B, the big data of acquisition is transmitted in data categorization module and classifies by CPU module, obtains sorted number
According to；
C, sorted data are transmitted in data analysis module and safety analysis is carried out to data behavior, assessed later；
D, the data after assessment are transmitted in memory module and are saved, exported finally by analysis data outputting module to external whole
End.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811168271.2A CN109284341A (en) | 2018-10-08 | 2018-10-08 | A kind of energy efficiency monitoring big data analysis system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811168271.2A CN109284341A (en) | 2018-10-08 | 2018-10-08 | A kind of energy efficiency monitoring big data analysis system and method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109284341A true CN109284341A (en) | 2019-01-29 |
Family
ID=65177160
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811168271.2A Withdrawn CN109284341A (en) | 2018-10-08 | 2018-10-08 | A kind of energy efficiency monitoring big data analysis system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109284341A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110515997A (en) * | 2019-08-22 | 2019-11-29 | 武汉东湖大数据交易中心股份有限公司 | A kind of big data intelligent analysis system |
| CN111652485A (en) * | 2020-05-25 | 2020-09-11 | 青海绿能数据有限公司 | New energy data acquisition and analysis system based on big data platform |
| CN111667391A (en) * | 2020-06-09 | 2020-09-15 | 武汉芯达云谷大数据有限公司 | Environment-friendly big data monitoring system |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106778914A (en) * | 2017-01-16 | 2017-05-31 | 湖南财政经济学院 | A kind of big data image classification method |
| CN108446205A (en) * | 2018-05-28 | 2018-08-24 | 佛山恩慈科技有限公司 | A kind of big data security evaluation analysis system and analysis method |
-
2018
- 2018-10-08 CN CN201811168271.2A patent/CN109284341A/en not_active Withdrawn
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106778914A (en) * | 2017-01-16 | 2017-05-31 | 湖南财政经济学院 | A kind of big data image classification method |
| CN108446205A (en) * | 2018-05-28 | 2018-08-24 | 佛山恩慈科技有限公司 | A kind of big data security evaluation analysis system and analysis method |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110515997A (en) * | 2019-08-22 | 2019-11-29 | 武汉东湖大数据交易中心股份有限公司 | A kind of big data intelligent analysis system |
| CN111652485A (en) * | 2020-05-25 | 2020-09-11 | 青海绿能数据有限公司 | New energy data acquisition and analysis system based on big data platform |
| CN111667391A (en) * | 2020-06-09 | 2020-09-15 | 武汉芯达云谷大数据有限公司 | Environment-friendly big data monitoring system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109284341A (en) | A kind of energy efficiency monitoring big data analysis system and method | |
| CN108197817A (en) | A kind of method of the non-intrusion type load transient state monitoring based on big data | |
| CN115865649B (en) | Intelligent operation and maintenance management control method, system and storage medium | |
| CN109034580B (en) | Information system overall health degree evaluation method based on big data analysis | |
| CN104155580A (en) | Voltage sag source positioning method with association analysis and electric power calculation being combined | |
| CN106330963A (en) | Cross-network multi-node log collecting method | |
| CN109784668A (en) | A kind of sample characteristics dimension-reduction treatment method for electric power monitoring system unusual checking | |
| WO2020119114A1 (en) | Method, device, and equipment for test data screening, and storage medium | |
| CN111800292B (en) | Early warning method and device based on historical flow, computer equipment and storage medium | |
| CN108335233A (en) | A kind of intelligent grid metric data processing system based on big data technology | |
| CN107317708A (en) | The monitoring method and device of a kind of Court business application system | |
| CN106304085B (en) | Information processing method and device | |
| CN111666978A (en) | Intelligent fault early warning system for IT system operation and maintenance big data | |
| CN105589785A (en) | Device and method for monitoring IO (Input/Output) performance of storage equipment | |
| CN108494635A (en) | A kind of network flow detection system based on cloud computing | |
| CN113220799A (en) | Big data early warning management system | |
| CN102323975A (en) | Message correctness judging method of IEC61850-based model file | |
| CN116881958A (en) | Power grid big data safety protection method, system, electronic equipment and storage medium | |
| CN104954351A (en) | Data detection method and apparatus | |
| CN104426708A (en) | Method and system for executing security detection service | |
| CN113542070A (en) | Thermal data extraction method based on use frequency | |
| CN106936640A (en) | A kind of log analysis monitoring system based on Kafka and Zabbix | |
| CN107357703A (en) | A kind of terminal applies power consumption detection method and server | |
| CN112215727A (en) | System for intelligently crawling and analyzing data of power system based on RPA technology | |
| CN113269478A (en) | Concentrator abnormal data reminding method and system based on multiple models |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WW01 | Invention patent application withdrawn after publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20190129 |