CN109857800A - A kind of data processing method of industry internet energy management and optimization system - Google Patents
A kind of data processing method of industry internet energy management and optimization system Download PDFInfo
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- CN109857800A CN109857800A CN201910136048.8A CN201910136048A CN109857800A CN 109857800 A CN109857800 A CN 109857800A CN 201910136048 A CN201910136048 A CN 201910136048A CN 109857800 A CN109857800 A CN 109857800A
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- 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
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- 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
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- 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
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Abstract
The present invention proposes the data processing method of a kind of industry internet energy management and optimization system, including big data cloud platform, energy management cloud platform, BC-PDM data exchange module, data warehouse and energy consumption data acquisition module, data compression unit is embedded in the data warehouse, the energy management cloud platform includes SaaS platform, PaaS platform and IaaS platform；The present invention can obtain the effective information that can really reflect equipment operation condition by big data cloud platform, energy management cloud platform, BC-PDM data exchange module, data warehouse and energy consumption data acquisition module, it realizes according to the dispensing with the load variations of energy equipment come dynamic optimization with energy equipment, energy consumption can be greatly reduced and provide scientific support to optimize the decision of energy management, by the data compression unit being embedded in data warehouse, the storage space that the data of data warehouse occupy can be effectively reduced.
Description
Technical field
The present invention relates to internet data application field more particularly to a kind of industry internet energy management and optimization systems
Data processing method.
Background technique
As the hurried increase of energy consumption and energy unit price rise steadily, the trend of globalization in market makes market
Increasingly competitive, Discrete Manufacturing Enterprise requires to reduce production cost and management cost, the cry for improving production efficiency are further strong
Strong, energy management system provides monitoring of tools and fault alarm according to energy consumption monitoring data for enterprise, is the data mining on upper layer
Data basis is provided.
The data processing method of existing internet energy management and optimization system is perfect not enough, there are problems,
The problem that the high construction cost of data processing method, system flexibility are weak and sharing is poor is more universal, is unfavorable for industrial energy
Source control and system optimization, while a large amount of data calculating can occupy more memory space, can reduce data processing speed, no
Conducive to long-term data processing.Therefore, the present invention proposes the data processing of a kind of industry internet energy management and optimization system
Method, to solve shortcoming in the prior art.
Summary of the invention
In view of the above-mentioned problems, the present invention passes through big data cloud platform, energy management cloud platform, BC-PDM data exchange mould
Block, data warehouse and energy consumption data acquisition module can obtain the effective information that can really reflect equipment operation condition, cooperation
It can use online energy consumption data mining analysis by core function layer as a result, auxiliary is realized according to the load variations with energy equipment
The dispensing for carrying out dynamic optimization energy equipment can be greatly reduced energy consumption and provide science to optimize the decision of energy management
It supports, resource can be saved as far as possible under the premise of meeting normal production, by the data compression unit being embedded in data warehouse,
The storage space that the data of data warehouse occupy can be effectively reduced, improve data processing speed, and data of the invention
Processing method has the advantages that construction cost is low, system flexibility is high and sharing is good, is conducive to industrial energy management and system
Optimization.
The present invention proposes the data processing method of a kind of industry internet energy management and optimization system, including big data cloud
Platform, energy management cloud platform, BC-PDM data exchange module, data warehouse and energy consumption data acquisition module, the energy source capsule
Reason cloud platform, data warehouse and energy consumption data acquisition module are all connected with big data cloud platform, are embedded with number in the data warehouse
According to compression unit, the data compression unit is divided into compression early period and later period compression, and compression early period uses improved sliding
Window algorithm and compression door algorithm, the later period compression use LZW compression algorithm, and the energy management cloud platform includes SaaS flat
Platform, PaaS platform and IaaS platform, the IaaS platform connect energy consumption data acquisition module by BC-PDM data exchange module,
And the IaaS platform connects SaaS platform, the energy consumption data acquisition module connects PaaS by BC-PDM data exchange module
Platform, the PaaS platform connect SaaS platform, and the PaaS platform includes cloud platform layer, core function layer and interface encapsulation
Layer, the cloud platform layer connect data warehouse by BC-PDM data exchange module, and the data warehouse connects SaaS platform, institute
Stating SaaS platform and providing application deployment, management and platform monitoring function, the SaaS platform includes energy management customer center, energy
It consumes data-mining module and real-time early warning manages module, the energy management customer center excavates module for managing energy consumption data
Module is managed with real-time early warning, the energy consumption data excavates module connection PaaS platform and data warehouse, and the energy consumption data is dug
PaaS platform can be called/be returned to pick module, and the energy consumption data, which excavates module, can call/returned data warehouse, the reality
When early warning control module connect IaaS platform, and the real-time early warning control module can call/return IaaS platform.
Further improvement lies in that: the energy management cloud platform monitors function for providing application deployment, management and cloud platform
Can, and the energy management cloud platform excavates module by energy management customer center, energy consumption data and real-time early warning manages mould
Block accesses big data cloud platform, realizes fast software development and deployment.
Further improvement lies in that: the energy management cloud platform is designed using SOA theory, for reducing each subsystem in skill
Interdependency in art.
Further improvement lies in that: the energy management cloud platform further includes security managing unit, service management unit, user
Rights management unit and audit diagnosis unit, the security managing unit, service management unit, user authority management unit and examine
Meter diagnosis unit is all connected with energy management customer center, and the security managing unit and service management unit are used for energy consumption data
The process transmitted, store, analyze and used carries out whole process safety program and management, to guarantee critical data and interface encapsulation
The safety of layer.
Further improvement lies in that: the interface encapsulation layer include Jave api interface collection, command line interface collection and XML./
Web service sets of interfaces.
Further improvement lies in that: the energy consumption data acquisition module include intelligent acquisition unit, network platform unit,
Sensing network unit and radio frequency identification unit, the energy consumption data acquisition module can provide the calculating that can match on demand and storage money
Source, the intelligent acquisition unit, network platform unit, sensing network unit and radio frequency identification unit can be by equipment/workshops
The energy consumption datas such as interior electricity, vapour, cold collect PaaS platform and carry out intelligent monitoring, data analysis and management and running.
Further improvement lies in that: the intelligent acquisition unit includes intelligent electric meter, sensor, transmitter and flow
Meter, the network platform unit includes intelligent networking gateway, and the sensing network unit includes temperature sensing net, humidity sensor
Net and air-flow Sensor Network.
Further improvement lies in that: the cloud platform layer includes HDFS unit, MapReduce unit, JDBC unit, Hive mono-
Member and HugeTable unit, the streaming that the HDFS unit can realize reads the file system data of data warehouse, described
HugeTable unit can carry out self to the data of data warehouse and manage huge virtual computing resource, the Hive
The data file of the structuring of data warehouse can be mapped as a database table by unit, and provide simple sql query function,
It sql sentence can also be converted to MapReduce is transmitted to MapReduce unit and fast implement simple MapReduce statistics.
Further improvement lies in that: the core function layer can carry out the multi-energy data for the data warehouse that cloud platform layer receives
The load and export of multi-format, and can parallel social network analysis set of algorithms, ETL set of algorithms, Data Mining set of algorithms, data
Mining algorithm collection and SQL, for realizing realizing that data visualization presentation, retrieval and inquisition, energy consumption data chart generates, data are dug
Pick, clustering, energy consumption model early warning and energy consumption data on-line monitoring, and access, inquiry, update can be realized by parallel SQL
With management data.
The invention has the benefit that passing through big data cloud platform, energy management cloud platform, BC-PDM data exchange mould
Block, data warehouse and energy consumption data acquisition module can obtain the effective information that can really reflect equipment operation condition, cooperation
It can use online energy consumption data mining analysis by core function layer as a result, auxiliary is realized according to the load variations with energy equipment
The dispensing for carrying out dynamic optimization energy equipment can be greatly reduced energy consumption and provide science to optimize the decision of energy management
It supports, resource can be saved as far as possible under the premise of meeting normal production, to realize the construction mesh of green manufacturing and energy saving factory
Mark, promotes the social image and competitive advantage of enterprise, and data visualization presentation, retrieval and inquisition, energy consumption data may be implemented
Chart generation, data mining, clustering, energy consumption model early warning and energy consumption data on-line monitoring, improve data and service
It manages and shared, by the data compression unit being embedded in data warehouse, the data occupancy of data warehouse can be effectively reduced
Storage space, improves data processing speed, and data processing method of the invention has that construction cost is low, system flexibility
High and good sharing advantage is conducive to industrial energy management and system optimization.
Detailed description of the invention
Fig. 1 is processing method Structure and Process schematic diagram of the present invention.
Specific embodiment
In order to deepen the understanding of the present invention, the present invention is further described below in conjunction with embodiment, the present embodiment
For explaining only the invention, it is not intended to limit the scope of the present invention..
According to Fig. 1, the present embodiment proposes the data processing of a kind of industry internet energy management and optimization system
Method, including big data cloud platform, energy management cloud platform, BC-PDM data exchange module, data warehouse and energy consumption data are adopted
Collect module, the energy management cloud platform, data warehouse and energy consumption data acquisition module are all connected with big data cloud platform, the number
According to data compression unit is embedded in warehouse, the data compression unit is divided into compression early period and later period compression, pressure early period
Contracting uses LZW compression algorithm, the energy management cloud using improved sliding window algorithm and compression door algorithm, the later period compression
Platform includes SaaS platform, PaaS platform and IaaS platform, and the IaaS platform connects energy by BC-PDM data exchange module
Data acquisition module is consumed, and the IaaS platform connects SaaS platform, the energy consumption data acquisition module passes through BC-PDM data
Switching Module connects PaaS platform, and the PaaS platform connects SaaS platform, and the PaaS platform includes cloud platform layer, core function
Ergosphere and interface encapsulation layer, the cloud platform layer connect data warehouse, the data warehouse by BC-PDM data exchange module
SaaS platform is connected, the SaaS platform provides application deployment, management and platform monitoring function, and the SaaS platform includes the energy
Manage customer center, energy consumption data excavates module and real-time early warning control module, the energy management customer center are used to manage
Energy consumption data excavates module and real-time early warning manages module, and the energy consumption data excavates module connection PaaS platform and data bins
Library, the energy consumption data, which excavates module, can call/return PaaS platform, and the energy consumption data excavates module and can call/return
Data warehouse is returned, the real-time early warning control module connects IaaS platform, and real-time early warning control module can be called/be returned
Return IaaS platform.
The energy management cloud platform is used to provide application deployment, management and cloud platform monitoring function, and the energy source capsule
It is flat by energy management customer center, energy consumption data excavation module and real-time early warning control module access big data cloud to manage cloud platform
Platform realizes fast software development and deployment.
The energy management cloud platform is designed using SOA theory, for reducing each subsystem interdepending technically
Property.
The energy management cloud platform further include security managing unit, service management unit, user authority management unit and
Audit diagnosis unit, the security managing unit, service management unit, user authority management unit and audit diagnosis unit connect
Energy management customer center is connect, the security managing unit and service management unit are used for energy consumption data transmission, storage, analysis
And the process used carries out whole process safety program and management, to guarantee the safety of critical data and interface encapsulation layer.
The interface encapsulation layer includes Jave api interface collection, command line interface collection and XML./Web service interface
Collection.
The energy consumption data acquisition module include intelligent acquisition unit, network platform unit, sensing network unit and
Radio frequency identification unit, the energy consumption data acquisition module can provide the calculating and storage resource that can match on demand, and the intelligence is adopted
Collect unit, network platform unit, sensing network unit and radio frequency identification unit can be by the electricity, vapour, cold etc. in equipment/workshop
Energy consumption data collects PaaS platform and carries out intelligent monitoring, data analysis and management and running.
The intelligent acquisition unit includes intelligent electric meter, sensor, transmitter and flowmeter, the network platform list
Member includes intelligent networking gateway, and the sensing network unit includes temperature sensing net, humidity sensor net and air-flow Sensor Network.
The cloud platform layer includes HDFS unit, MapReduce unit, JDBC unit, Hive unit and HugeTable mono-
Member, the HDFS unit can realize that streaming reads the file system data of data warehouse, and the HugeTable unit can be to data
The data in warehouse carry out self and manage huge virtual computing resource, and the Hive unit can be by the structure of data warehouse
The data file of change is mapped as a database table, and provides simple sql query function, can also be converted to sql sentence
MapReduce is transmitted to MapReduce unit and fast implements simple MapReduce statistics.
The core function layer can by the multi-energy data for the data warehouse that cloud platform layer receives carry out multi-format load and
Export, and can parallel social network analysis set of algorithms, ETL set of algorithms, Data Mining set of algorithms, data mining algorithm collection and
SQL, for realizing data visualization presentation, retrieval and inquisition, the generation of energy consumption data chart, data mining, clustering, energy is realized
Model pre-warning and energy consumption data on-line monitoring are consumed, and access can be realized by parallel SQL, query, update, and manage data.
Pass through big data cloud platform, energy management cloud platform, BC-PDM data exchange module, data warehouse and energy consumption data
Acquisition module can obtain the effective information that can really reflect equipment operation condition, and fitting through core function layer can use
Energy consumption data mining analysis is as a result, auxiliary realizes load variations the matching come dynamic optimization energy equipment of foundation energy equipment online
It gives, energy consumption can be greatly reduced and provides scientific support to optimize the decision of energy management, normally produced in satisfaction
Under the premise of can save resource as far as possible, to realize the construction object of green manufacturing and energy saving factory, promote the social image of enterprise
And competitive advantage, and data visualization presentation, retrieval and inquisition, the generation of energy consumption data chart, data mining, cluster may be implemented
Analysis, energy consumption model early warning and energy consumption data on-line monitoring improve the management of data and service and share, pass through data warehouse
The data compression unit being inside embedded can be effectively reduced the storage space that the data of data warehouse occupy, improve data processing
Speed, and data processing method of the invention has the advantages that construction cost is low, system flexibility is high and sharing is good, benefit
In industrial energy management and system optimization.
The basic principles, main features and advantages of the invention have been shown and described above.The technical staff of the industry should
Understand, the present invention is not limited to the above embodiments, and the above embodiments and description only describe originals of the invention
Reason, without departing from the spirit and scope of the present invention, various changes and improvements may be made to the invention, these changes and improvements
It all fall within the protetion scope of the claimed invention.The claimed scope of the invention is by appended claims and its equivalent circle
It is fixed.
Claims (9)
1. a kind of data processing method of industry internet energy management and optimization system, it is characterised in that: including big data cloud
Platform, energy management cloud platform, BC-PDM data exchange module, data warehouse and energy consumption data acquisition module, the energy source capsule
Reason cloud platform, data warehouse and energy consumption data acquisition module are all connected with big data cloud platform, are embedded with number in the data warehouse
According to compression unit, the data compression unit is divided into compression early period and later period compression, and compression early period uses improved sliding
Window algorithm and compression door algorithm, the later period compression use LZW compression algorithm, and the energy management cloud platform includes SaaS flat
Platform, PaaS platform and IaaS platform, the IaaS platform connect energy consumption data acquisition module by BC-PDM data exchange module,
And the IaaS platform connects SaaS platform, the energy consumption data acquisition module connects PaaS by BC-PDM data exchange module
Platform, the PaaS platform connect SaaS platform, and the PaaS platform includes cloud platform layer, core function layer and interface encapsulation
Layer, the cloud platform layer connect data warehouse by BC-PDM data exchange module, and the data warehouse connects SaaS platform, institute
Stating SaaS platform and providing application deployment, management and platform monitoring function, the SaaS platform includes energy management customer center, energy
It consumes data-mining module and real-time early warning manages module, the energy management customer center excavates module for managing energy consumption data
Module is managed with real-time early warning, the energy consumption data excavates module connection PaaS platform and data warehouse, and the energy consumption data is dug
PaaS platform can be called/be returned to pick module, and the energy consumption data, which excavates module, can call/returned data warehouse, the reality
When early warning control module connect IaaS platform, and the real-time early warning control module can call/return IaaS platform.
2. the data processing method of a kind of industry internet energy management and optimization system according to claim 1, special
Sign is: the energy management cloud platform is for providing application deployment, management and cloud platform monitoring function, and the energy management
Cloud platform excavates module by energy management customer center, energy consumption data and real-time early warning is managed module access big data cloud and put down
Platform realizes fast software development and deployment.
3. the data processing method of a kind of industry internet energy management and optimization system according to claim 1, special
Sign is: the energy management cloud platform is designed using SOA theory, for reducing each subsystem interdepending technically
Property.
4. the data processing method of a kind of industry internet energy management and optimization system according to claim 1, special
Sign is: the energy management cloud platform further includes security managing unit, service management unit, user authority management unit and examines
Diagnosis unit is counted, the security managing unit, service management unit, user authority management unit and audit diagnosis unit are all connected with
Energy management customer center, the security managing unit and service management unit be used for energy consumption data transmission, storage, analyze with
And the process used carries out whole process safety program and management, to guarantee the safety of critical data and interface encapsulation layer.
5. the data processing method of a kind of industry internet energy management and optimization system according to claim 1, special
Sign is: the interface encapsulation layer includes Jave api interface collection, command line interface collection and XML./Web service sets of interfaces.
6. the data processing method of a kind of industry internet energy management and optimization system according to claim 1, special
Sign is: the energy consumption data acquisition module includes intelligent acquisition unit, network platform unit, sensing network unit and penetrates
Frequency recognition unit, the energy consumption data acquisition module can provide the calculating and storage resource that can match on demand, the intelligent acquisition
Unit, network platform unit, sensing network unit and radio frequency identification unit can be by electricity, vapour, the Leng Dengneng in equipment/workshop
Source consumption data collects PaaS platform and carries out intelligent monitoring, data analysis and management and running.
7. the data processing method of a kind of industry internet energy management and optimization system according to claim 1, special
Sign is: the intelligent acquisition unit includes intelligent electric meter, sensor, transmitter and flowmeter, the network platform list
Member includes intelligent networking gateway, and the sensing network unit includes temperature sensing net, humidity sensor net and air-flow Sensor Network.
8. the data processing method of a kind of industry internet energy management and optimization system according to claim 1, special
Sign is: the cloud platform layer includes HDFS unit, MapReduce unit, JDBC unit, Hive unit and HugeTable mono-
Member, the HDFS unit can realize that streaming reads the file system data of data warehouse, and the HugeTable unit can be to data
The data in warehouse carry out self and manage huge virtual computing resource, and the Hive unit can be by the structure of data warehouse
The data file of change is mapped as a database table, and provides simple sql query function, can also be converted to sql sentence
MapReduce is transmitted to MapReduce unit and fast implements simple MapReduce statistics.
9. the data processing method of a kind of industry internet energy management and optimization system according to claim 1, special
Sign is: the multi-energy data for the data warehouse that cloud platform layer receives can be carried out the load of multi-format and led by the core function layer
Out, and can parallel social network analysis set of algorithms, ETL set of algorithms, Data Mining set of algorithms, data mining algorithm collection and SQL,
For realizing realization data visualization presentation, retrieval and inquisition, the generation of energy consumption data chart, data mining, clustering, energy consumption mould
Type early warning and energy consumption data are monitored on-line, and can be realized access by parallel SQL, be queried, updated, and managed data.
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| CN110991043A (en) * | 2019-12-03 | 2020-04-10 | 北京中计开元科技有限公司 | Energy consumption modeling and evaluating method of energy consumption system |
| CN111324062A (en) * | 2020-01-21 | 2020-06-23 | 南京兴丞智能制造研究院有限公司 | Industrial big data platform system |
| CN111369210A (en) * | 2020-02-28 | 2020-07-03 | 上海纺织建筑设计研究院有限公司 | Wisdom textile industry platform |
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| CN112488558A (en) * | 2020-12-11 | 2021-03-12 | 四川川能智网实业有限公司 | Energy consumption monitoring and analyzing system based on industrial internet |
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| CN113392155A (en) * | 2020-09-08 | 2021-09-14 | 重庆高新技术产业研究院有限责任公司 | Multi-type industry cluster-oriented internet streaming data storage and computing system |
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110991043A (en) * | 2019-12-03 | 2020-04-10 | 北京中计开元科技有限公司 | Energy consumption modeling and evaluating method of energy consumption system |
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| CN111324062A (en) * | 2020-01-21 | 2020-06-23 | 南京兴丞智能制造研究院有限公司 | Industrial big data platform system |
| CN111369210A (en) * | 2020-02-28 | 2020-07-03 | 上海纺织建筑设计研究院有限公司 | Wisdom textile industry platform |
| CN111984641A (en) * | 2020-08-14 | 2020-11-24 | 薛东 | Data processing method and big data platform based on industrial internet and intelligent manufacturing |
| CN113392155A (en) * | 2020-09-08 | 2021-09-14 | 重庆高新技术产业研究院有限责任公司 | Multi-type industry cluster-oriented internet streaming data storage and computing system |
| CN113393069A (en) * | 2020-09-08 | 2021-09-14 | 重庆高新技术产业研究院有限责任公司 | Service system for multi-type industry cluster industrial internet multi-service application |
| CN112488558A (en) * | 2020-12-11 | 2021-03-12 | 四川川能智网实业有限公司 | Energy consumption monitoring and analyzing system based on industrial internet |
| CN112488877A (en) * | 2020-12-11 | 2021-03-12 | 四川川能智网实业有限公司 | Industrial energy consumption visualization system for energy service platform |
| CN112988865A (en) * | 2021-03-02 | 2021-06-18 | 中国联合网络通信集团有限公司 | Industrial Internet service management system |
| CN112988865B (en) * | 2021-03-02 | 2023-06-16 | 中国联合网络通信集团有限公司 | Industrial Internet service management system |
| CN113822585A (en) * | 2021-09-26 | 2021-12-21 | 云南锡业股份有限公司锡业分公司 | Intelligent smelting factory informatization management system |
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