CN104331044B - Electro-fused magnesia furnace power consumption remote monitoring system and method - Google Patents
Electro-fused magnesia furnace power consumption remote monitoring system and method Download PDFInfo
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- CN104331044B CN104331044B CN201410556980.3A CN201410556980A CN104331044B CN 104331044 B CN104331044 B CN 104331044B CN 201410556980 A CN201410556980 A CN 201410556980A CN 104331044 B CN104331044 B CN 104331044B
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 35
- 238000000034 method Methods 0.000 title claims abstract description 24
- CPLXHLVBOLITMK-UHFFFAOYSA-N Magnesium oxide Chemical compound [Mg]=O CPLXHLVBOLITMK-UHFFFAOYSA-N 0.000 title abstract 6
- 239000000395 magnesium oxide Substances 0.000 title abstract 3
- 230000005540 biological transmission Effects 0.000 claims abstract description 17
- 238000012545 processing Methods 0.000 claims abstract description 8
- 230000004044 response Effects 0.000 claims abstract description 7
- 238000005265 energy consumption Methods 0.000 claims description 190
- FYYHWMGAXLPEAU-UHFFFAOYSA-N Magnesium Chemical compound [Mg] FYYHWMGAXLPEAU-UHFFFAOYSA-N 0.000 claims description 56
- 229910052749 magnesium Inorganic materials 0.000 claims description 55
- 239000011777 magnesium Substances 0.000 claims description 55
- 238000002844 melting Methods 0.000 claims description 50
- 230000008018 melting Effects 0.000 claims description 48
- 238000004891 communication Methods 0.000 claims description 28
- 238000005516 engineering process Methods 0.000 claims description 11
- 230000008569 process Effects 0.000 claims description 11
- 230000005611 electricity Effects 0.000 claims description 6
- 238000004519 manufacturing process Methods 0.000 claims description 6
- VYZAMTAEIAYCRO-UHFFFAOYSA-N Chromium Chemical compound [Cr] VYZAMTAEIAYCRO-UHFFFAOYSA-N 0.000 description 7
- ZLNQQNXFFQJAID-UHFFFAOYSA-L magnesium carbonate Chemical compound [Mg+2].[O-]C([O-])=O ZLNQQNXFFQJAID-UHFFFAOYSA-L 0.000 description 6
- 238000011160 research Methods 0.000 description 6
- 229910000021 magnesium carbonate Inorganic materials 0.000 description 5
- 235000014380 magnesium carbonate Nutrition 0.000 description 5
- 239000001095 magnesium carbonate Substances 0.000 description 5
- 238000003723 Smelting Methods 0.000 description 4
- 238000005070 sampling Methods 0.000 description 3
- 230000002159 abnormal effect Effects 0.000 description 2
- 238000013497 data interchange Methods 0.000 description 2
- 238000004134 energy conservation Methods 0.000 description 2
- 239000007787 solid Substances 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000007499 fusion processing Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000005272 metallurgy Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 239000002994 raw material Substances 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Classifications
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/4185—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by the network communication
- G05B19/4186—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by the network communication by protocol, e.g. MAP, TOP
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/4183—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by data acquisition, e.g. workpiece identification
-
- 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
-
- 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
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Manufacturing & Machinery (AREA)
- Quality & Reliability (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention discloses an electro-fused magnesia furnace power consumption remote monitoring system and a method, and belongs to the field of furnace power consumption monitoring. The system comprises a local data acquisition device, a local server, and a cloud server, wherein the local data acquisition device comprises a multifunctional electronic measuring instrument and a lower computer; the local server comprises a data acquisition module, RabbitMQ, a local monitoring network module, and a real-time data remote transmission module; and the cloud server comprises a Zookeeper cluster, a RabbitMQ cluster, a relational database, an HBase database, and a remote monitoring network module. the method comprises steps: real-time power consumption data of each electro-fused magnesia furnace are acquired; sequential processing is carried out on the real-time power consumption data; the real-time power consumption data after sequential processing are written to a RabbitMQ message queue of the local server; power consumption data in the RabbitMQ message queue of the local server are transmitted to the cloud server; and a response is given to a request from a remote monitoring end, the power consumption data are transmitted to the remote monitoring end, and a remote worker can perform remote monitoring.
Description
Technical field
The invention belongs to electric melting magnesium furnace energy consumption and monitor field, be specifically related to a kind of electric melting magnesium furnace energy consumption Long-Range Surveillance System and method.
Background technology
Fused magnesite is a kind of excellent high grade refractory, is widely used in the industry fields such as metallurgy, chemical industry, aviation；Electricity
Molten magnesium stove belongs to a kind of burried arc furnace, is the capital equipment producing fused magnesite；Electric melting magnesium furnace utilizes alternating current arc heat and resistance heat
Fusing is based on giobertite or the raw material of light-burning magnesium powder；In fusion process, electric melting magnesium furnace energy consumption is high, and managing power consumption level is current
It is only located at native monitoring level, lacks the long-range supervision to electric melting magnesium furnace energy consumption；
The energy consumption of electric melting magnesium furnace is directly connected to the height of the production cost of fused magnesite, is that electric-melting magnesium industry energy-saving reduces discharging
One important supervision index.Fused magnesite factory manages the system energy consumption feelings to electric melting magnesium furnace by existing electric melting magnesium furnace indigenous energy
Condition monitors.But this native monitoring mode is simply established locally a local prison based on LAN in fused magnesite factory
Viewing system, does not provide real time data supervision end outside this locality, causes the supervision spatial dimension of energy consumption to be confined to power transformation
In institute, it is impossible to provide remote-monitoring function (electric-melting magnesium group's stove energy management system software design to enterprise administrator and scientific research personnel
With exploitation [D], Northeastern University, 2013).
Summary of the invention
The deficiency existed for prior art, the present invention provides a kind of electric melting magnesium furnace energy consumption Long-Range Surveillance System and method.
Technical scheme:
A kind of electric melting magnesium furnace energy consumption Long-Range Surveillance System, this system includes: local data harvester, home server, cloud take
Business device；
Described local data harvester includes multifunction electronic measuring instrument and slave computer；Described home server includes data acquisition
Module, RabbitMQ, native monitoring mixed-media network modules mixed-media, real time data remote transmission module；Described Cloud Server includes Zookeeper
Cluster, RabbitMQ cluster, relevant database, HBase data base, remotely monitor mixed-media network modules mixed-media；
Described multifunction electronic measuring instrument is for gathering the energy consumption data of each electric melting magnesium furnace in electric melting magnesium furnace production process；Described energy consumption
Data include real time energy consumption data and non real-time energy consumption data；The outfan of described multifunction electronic measuring instrument and described slave computer
Input is connected；
Described slave computer is for controlling the data acquisition of multifunction electronic measuring instrument, receiving what multifunction electronic measuring instrument was sent
Real time energy consumption data, and these real time energy consumption data are reached by OPC communications protocol the data acquisition module of home server；Institute
State real time energy consumption data, including electric current, voltage, active power, power factor and accumulative electric degree that each electric melting magnesium furnace is real-time；
The data acquisition module of described home server processes also for the real time energy consumption data received from slave computer carry out serializing
Real time energy consumption data after serializing are reached the RabbitMQ of home server；
The RabbitMQ of described home server: receive the real time energy consumption data transmitted from data acquisition module, and simultaneously that this is real
Time energy consumption data reach real time data remote transmission module and native monitoring mixed-media network modules mixed-media respectively；Receive from native monitoring mixed-media network modules mixed-media
The non real-time energy consumption data transmitted, judges that network communication is the most normal simultaneously, is, then by this non real-time energy consumption data to cloud service
The RabbitMQ cluster of device transmits, no, then be buffered in this RabbitMQ message queue by this non real-time energy consumption data, treat
When network communication returns to normal, the non real-time energy consumption data being buffered in this RabbitMQ message queue is continued to Cloud Server
RabbitMQ cluster transmit；Described non real-time energy consumption data, including: the electric current in each electric melting magnesium furnace history each moment, electricity
Pressure, active power, power factor and accumulative electric degree, the average current of required time section and average voltage, energy consumption overload alarm letter
Breath；
Described native monitoring mixed-media network modules mixed-media, for processing the real time energy consumption data received from the RabbitMQ of home server
Obtain non real-time energy consumption data, and the non real-time energy consumption data after processing passes the RabbitMQ of home server back；
Described real time data remote transmission module: receive the real time energy consumption data that the RabbitMQ of home server transmits, sentence simultaneously
Circuit network communication is the most normal, is, then transmit real time energy consumption based on Zookeeper technology to the Zookeeper cluster of Cloud Server
Data, no, then abandon transmitting real time energy consumption data, and when network communication recovers normal, continue the Zookeeper to Cloud Server
Cluster transmits real time energy consumption data；
The RabbitMQ cluster of described Cloud Server, for receiving the non real-time energy consumption data that the RabbitMQ of home server transmits,
And this non real-time energy consumption data is reached Cloud Server remotely monitors mixed-media network modules mixed-media；
The Zookeeper cluster of described Cloud Server, for receiving what the real time data remote transmission module in home server sent
Real time energy consumption data, and these real time energy consumption data are reached Cloud Server remotely monitors mixed-media network modules mixed-media；
Described Cloud Server remotely monitor mixed-media network modules mixed-media: receive non real-time energy consumption data that RabbitMQ cluster transmits general simultaneously
This non real-time energy consumption data is respectively stored in relevant database and HBase data base；Meanwhile, Zookeeper cluster is also received
The real time energy consumption data transmitted；Response remotely monitors the request of end, the real time energy consumption data received and non real-time energy consumption data is passed
Remotely monitor to remote terminal for staff；
Electric melting magnesium furnace energy consumption Long-Range Surveillance System described in employing carries out the method that electric melting magnesium furnace energy consumption remotely monitors, including walking as follows
Rapid:
Step 1: gather the real time energy consumption data of each electric melting magnesium furnace；
Described real time energy consumption data, including electric current, voltage, active power, power factor and accumulative electricity that each electric melting magnesium furnace is real-time
Degree；
Step 2: real time energy consumption data are carried out serializing process；
Step 3: in the RabbitMQ message queue of the real time energy consumption data write home server after serializing is processed；
Step 4: the energy consumption data in the RabbitMQ message queue of home server is sent to Cloud Server；
Described energy consumption data includes real time energy consumption data and non real-time energy consumption data；
Step 4.1: the real time energy consumption data in the RabbitMQ message queue of home server are sent to Cloud Server；
Step 4.1.1: judge that network communication is the most normal, be, then perform step 4.1.2, no, then continue executing with step 4.1.1；
Step 4.1.2: the real time energy consumption data in the RabbitMQ message queue of home server are passed based on Zookeeper technology
Deliver in the Zookeeper cluster of Cloud Server；
Step 4.2: the non real-time energy consumption data in the RabbitMQ message queue of home server is sent to Cloud Server；
Step 4.2.1: the real time energy consumption data in the RabbitMQ message queue of home server are carried out process and obtains non real-time energy
Consumption data, and by the RabbitMQ message queue of this non real-time energy consumption data write home server；Described non real-time energy consumption number
According to, including: each electric melting magnesium furnace history each moment electric current, voltage, active power, power factor and accumulative electric degree, taken
Between the average current of section and average voltage, energy consumption overload alarm information；
Step 4.2.2: judge that network communication is the most normal, be, then perform step 4.2.3, no, then continue executing with step 4.2.2；
Step 4.2.3: the non real-time energy consumption data in the RabbitMQ message queue of home server is sent to Cloud Server
In RabbitMQ cluster；
Step 4.2.4: the non real-time energy consumption data in the RabbitMQ cluster of Cloud Server is stored in relevant database and
In HBase data base；
Step 5: response remotely monitors the request of end, is sent to energy consumption data remotely monitor end, carries out far for remote worker
Journey monitors.
Beneficial effect: as seen from the above technical solution provided by the invention, compared to the prior art the present invention has the most excellent
Point:
1, far-end is provided to monitor service for enterprise administrator, it is simple to company manager understands electric melting magnesium furnace consumption information at far-end,
Get rid of the overload fault of electric melting magnesium furnace in time, help enterprise to improve energy conservation level.
2, being easy to scientific research personnel remotely monitor, set up energy consumption model, the smelting technology that support study dies exploitation is new, for improving electric smelting
Production technology and the technology of the energy-saving and emission-reduction of magnesium industry are significant.
3, it is easy to electric melting magnesium furnace is carried out energy source optimization configuration, provides power-saving technology support and decision references for enterprise.
Accompanying drawing explanation
Fig. 1 is the electric melting magnesium furnace energy consumption Long-Range Surveillance System structural representation of one embodiment of the present invention；
Fig. 2 is the electric melting magnesium furnace energy consumption remote monitoring method flow chart of one embodiment of the present invention；
Fig. 3 is the effect schematic diagram of the non real-time energy consumption data transmitting procedure of one embodiment of the present invention；
Fig. 4 is the monitoring interface figure of the real time energy consumption data based on IE browser of one embodiment of the present invention；
Fig. 5 is based on IE browser the non real-time energy consumption data monitoring interface figure of one embodiment of the present invention；
Fig. 6 is the electric current overload alarm information interface figure based on IE browser of one embodiment of the present invention.
Detailed description of the invention
Below in conjunction with the accompanying drawings an embodiment of the present invention is further illustrated.
The electric melting magnesium furnace energy consumption Long-Range Surveillance System of present embodiment, as it is shown in figure 1, include: local data harvester, this locality
Server, Cloud Server；
In present embodiment in local data harvester, it is the multifunction electronic measuring instrument of ME96NSR including bench-types No. 5, under
Position machine uses the Rhizoma Sparganii Q series of PLC that CPU model is Q03UD；In present embodiment, home server includes opening based on C# language
Send out data acquisition module, support advanced message queue protocol RabbitMQ, can respond IE and Chrome browse request access
Native monitoring mixed-media network modules mixed-media, based on C# language exploitation real time data remote transmission module, version be SQL Server 2012
Relevant database；In present embodiment, Cloud Server includes what the server being CentOS 6.5 by 3 operating systems formed
Support the Zookeeper cluster of distributed system data synchronization service, be the service of Windows 2008R2 by 2 operating systems
Device composition the RabbitMQ cluster of support advanced message queue protocol, version be SQL Server 2012 relevant database,
The non-relational distributed HBase data base of mass data can be stored, the long-range prison that IE and Chrome browse request accesses can be responded
Depending on mixed-media network modules mixed-media；The version number of Zookeeper be the version number of 3.4.6, RabbitMQ be 3.3.1；
5 multifunction electronic measuring instruments in present embodiment are respectively used to gather each electric melting magnesium furnace in 5 electric melting magnesium furnace production processes
Real time energy consumption data, including electric current, voltage, active power, power factor and the accumulative electric degree of each electric melting magnesium furnace；Each many merits
Can outfan all inputs with Rhizoma Sparganii Q series of PLC of electronic gauge be connected；
Rhizoma Sparganii Q series of PLC is for receiving the real time energy consumption data that multifunction electronic measuring instrument is sent, and controls multifunction electronic measurement
The data acquisition of instrument, each multifunction electronic measuring instrument of poll the real time energy consumption number that will receive from multifunction electronic measuring instrument
According to being sent to be reached the data acquisition module of home server by OPC communications protocol；Described real time energy consumption data, including each electric smelting
Electric current, voltage, active power, power factor and the accumulative electric degree that magnesium stove is real-time；
In present embodiment, home server uses model is that IPC-610L grinds China's industrial computer, the data acquisition of home server
Module uses the data interchange format JSON (javaScript object representation) of lightweight to the real time energy consumption received from slave computer
Data carry out serializing process and the real time energy consumption data after serializing are reached RabbitMQ；
The RabbitMQ that in present embodiment, home server uses: be the one of the message-oriented middleware realizing advanced message queue protocol
Plant the Message Queuing system that increases income, forward message for storage in a distributed system；Reception is real-time from data acquisition module transmission
Energy consumption data, data volume scope be the 10KB/ second to the 100KB/ second, and these real time energy consumption data to be reached real time data respectively remote simultaneously
Journey transport module and native monitoring mixed-media network modules mixed-media；Receive the non real-time energy consumption data transmitted from native monitoring mixed-media network modules mixed-media, sentence simultaneously
Circuit network communication is the most normal, is then to be transmitted to the RabbitMQ cluster of Cloud Server by this non real-time energy consumption data, no,
Then this non real-time energy consumption data is buffered in this RabbitMQ message queue, when network communication returns to normal, will be buffered in
The RabbitMQ cluster that non real-time energy consumption data in this RabbitMQ message queue continues to Cloud Server transmits；Non real-time
Energy consumption data includes: electric current, voltage, active power, power factor and the accumulative electric degree in each electric melting magnesium furnace history each moment, every
Minute average current and average voltage, average current hourly and average voltage, electric current overload alarm information；Real time data
Sampling period be set as 1 second, within each minute, calculate once average current and average voltage in this minute, within each hour, calculate one
Average current and average voltage in this hour secondary；When electric melting magnesium furnace average current per minute is more than 15000A, then electricity occurs
Stream overrun condition, native monitoring mixed-media network modules mixed-media can produce the electric current overload alarm information of this electric melting magnesium furnace；
The native monitoring mixed-media network modules mixed-media of present embodiment is to develop based on ASP.NET MVC program frame, on the one hand can be to from this
The real time energy consumption data that the RabbitMQ of ground server receives carry out process and obtain non real-time energy consumption data, and the non-solid after processing
Time energy consumption data pass the RabbitMQ of home server back；Non real-time energy consumption data is stored in the relevant database of this locality simultaneously
In SQL Server 2012；On the other hand, IE and Chrome browse request can be responded and access, read this locality according to request
Relevant database is to obtain non real-time energy consumption data, together with the real time energy consumption data received with the RabbitMQ from home server
Native monitoring is carried out for enterprise personnel with form web page；Native monitoring mixed-media network modules mixed-media is to protect the processing procedure of real time energy consumption data
On the basis of staying real time energy consumption data, newly-increased average current per minute and average voltage, newly-increased average current hourly peace
All voltage, newly-increased electric current overload alarm information, constitute non real-time energy consumption data；
The real time data remote transmission module of present embodiment: receive the real time energy consumption number that the RabbitMQ of home server transmits
According to；Setting communication time-out time as 3 seconds, according to network communication, whether time-out judges that network communication is the most normal, if network leads to
Interrogate the most overtime, it is determined that network communication is normal, then transmit to the Zookeeper cluster of Cloud Server real based on Zookeeper technology
Time energy consumption data, if network communication is overtime, it is determined that network communication is abnormal, then abandons transmitting real time energy consumption data, and treat network
When communication recovers normal, continue to transmit real time energy consumption data to the Zookeeper cluster of Cloud Server；Zookeeper is one
System is reliably coordinated, it is provided that a shared back end stores real time energy consumption data for large-scale distributed system；Number in real time
The exception of the network communication of Zookeeper cluster can be automatically processed according to remote transmission module, after network connects recovery normally,
Real time data remote transmission module the most again can be set up with Zookeeper cluster and be connected；
The RabbitMQ cluster of Cloud Server in present embodiment, for receiving the non real-time of the RabbitMQ transmission of home server
Energy consumption data, and this non real-time energy consumption data is reached Cloud Server remotely monitors mixed-media network modules mixed-media；
The Zookeeper cluster of Cloud Server in present embodiment, for receiving the real time data remote transmission mould in home server
The real time energy consumption data that block sends, and these real time energy consumption data are reached Cloud Server remotely monitors mixed-media network modules mixed-media；
In present embodiment Cloud Server remotely monitor mixed-media network modules mixed-media: be to develop based on ASP.NET MVC program frame, can ring
Answer IE and Chrome browse request to access, receive the non real-time energy consumption data of RabbitMQ cluster transmission and simultaneously by this non-solid
Time energy consumption data be respectively stored in relevant database and HBase data base, it is achieved do not lose the energy consumption number during Network Abnormal
According to, it is available for remotely monitoring end retrieval and analyzing；Meanwhile, the real time energy consumption data that Zookeeper cluster transmits also are received；Response
Remotely monitor the request of end, the real time energy consumption data of reception and the non real-time energy consumption data read from relevant database are reached
IE or the Chrome browser of remote terminal remotely monitors for enterprise personnel；HBase data base is based on supporting that data are close
The open source software framework Hadoop of collection type Distributed Application builds, and is a kind of non-relational database, and scientific research personnel can pass through
Remotely monitor that the non real-time energy consumption data that mixed-media network modules mixed-media accesses in HBase data base carries out data analysis；
Present embodiment medium-long range monitors end: include that enterprise personnel remotely monitors, scientific research personnel remotely monitors；Enterprise personnel is long-range
Monitor and refer to by the long-range energy consumption of IE or Chrome browser login Cloud Server, enterprise personnel is remotely monitoring that website is come electric smelting
The energy consumption data of magnesium stove monitors, and instructs production process, improves energy conservation level；Scientific research personnel remotely monitors
Refer to by the long-range energy consumption of IE or Chrome browser login Cloud Server, scientific research personnel is remotely monitoring that website is come electric melting magnesium furnace
Energy consumption data monitor, and consumption information is studied, promotes that enterprise realizes energy-saving and cost-reducing；
The electric melting magnesium furnace energy consumption Long-Range Surveillance System using present embodiment carries out the method that electric melting magnesium furnace energy consumption remotely monitors, as attached
Shown in Fig. 2, comprise the steps:
These real time energy consumption data are reached this by OPC communications protocol by step 1: gather the real time energy consumption data of each electric melting magnesium furnace
The data acquisition module of ground server, the real time energy consumption data of 5 electric melting magnesium furnaces of a sampling period collection are as shown in table 1；
The real time energy consumption data of 5 electric melting magnesium furnaces of 1 sampling period collections of table
Step 2: real time energy consumption data are carried out serializing process；Present embodiment uses the data interchange format JSON of lightweight
(javaScript object representation) carries out serializing process to real time energy consumption data；
Step 3: in the RabbitMQ message queue of the real time energy consumption data write home server after serializing is processed；
Step 4: the energy consumption data in the RabbitMQ message queue of home server is sent to Cloud Server, can also ring simultaneously
Answer the request of native monitoring end, energy consumption data is sent to native monitoring end；
Described energy consumption data includes real time energy consumption data and non real-time energy consumption data；
Energy consumption data in the RabbitMQ message queue of home server is sent to Cloud Server, comprises the following steps:
Step 4.1: the real time energy consumption data in the RabbitMQ message queue of home server are sent to Cloud Server；
Step 4.1.1: judge that network communication is the most normal, be, then perform step 4.1.2, no, then continue executing with step 4.1.1；
Step 4.1.2: the real time energy consumption data in the RabbitMQ message queue of home server are passed based on Zookeeper technology
Deliver in the Zookeeper cluster of Cloud Server；
Step 4.2: the non real-time energy consumption data in the RabbitMQ message queue of home server is sent to Cloud Server；
Step 4.2.1: the real time energy consumption data in the RabbitMQ message queue of home server are carried out process and obtains non real-time energy
Consumption data, and by the RabbitMQ message queue of this non real-time energy consumption data write home server；
Step 4.2.2: judge that network communication is the most normal, be, then perform step 4.2.3, no, then continue executing with step 4.2.2；
Step 4.2.3: the non real-time energy consumption data in the RabbitMQ message queue of home server is sent to Cloud Server
In RabbitMQ cluster, the transmitting procedure picture of non real-time energy consumption data is as shown in Figure 3；
Step 4.2.4: the non real-time energy consumption data in the RabbitMQ cluster of Cloud Server is stored in relevant database and
In HBase data base；
Step 5: response remotely monitors the request of end, is sent to energy consumption data remotely monitor end, carries out far for remote worker
Journey monitor, the supervision picture of real time data based on IE browser as shown in Figure 4, supervision picture based on IE browser non-real-time data
Face is as it is shown in figure 5, based on IE browser electric current overload alarm information frame as shown in Figure 6.
Although the foregoing describing the detailed description of the invention of the present invention, but one skilled in the art should be appreciated that these
It is merely illustrative of, these embodiments can be made various changes or modifications, without departing from principle and the essence of the present invention.
The scope of the present invention is only limited by the claims that follow.
Claims (2)
1. an electric melting magnesium furnace energy consumption Long-Range Surveillance System, it is characterised in that: this system includes: local data harvester, basis
Ground server, Cloud Server；
Described local data harvester includes multifunction electronic measuring instrument and slave computer；Described home server includes data acquisition
Module, RabbitMQ, native monitoring mixed-media network modules mixed-media, real time data remote transmission module；Described Cloud Server includes Zookeeper
Cluster, RabbitMQ cluster, relevant database, HBase data base, remotely monitor mixed-media network modules mixed-media；
Described multifunction electronic measuring instrument is for gathering the energy consumption data of each electric melting magnesium furnace in electric melting magnesium furnace production process, including each electricity
The molten electric current of magnesium stove, voltage, active power, power factor and accumulative electric degree；The outfan of described multifunction electronic measuring instrument with
The input of described slave computer is connected；
Described slave computer is for controlling the data acquisition of multifunction electronic measuring instrument, receiving what multifunction electronic measuring instrument was sent
Real time energy consumption data, and these real time energy consumption data are reached by OPC communications protocol the data acquisition module of home server；Described
Real time energy consumption data, including electric current, voltage, active power, power factor and accumulative electric degree that each electric melting magnesium furnace is real-time；
The data acquisition module of described home server processes also for the real time energy consumption data received from slave computer carry out serializing
Real time energy consumption data after serializing are reached RabbitMQ；
The RabbitMQ of described home server: receive the real time energy consumption data transmitted from data acquisition module, and simultaneously that this is real
Time energy consumption data reach real time data remote transmission module and native monitoring mixed-media network modules mixed-media respectively；Receive from native monitoring mixed-media network modules mixed-media
The non real-time energy consumption data transmitted, judges that network communication is the most normal simultaneously, is, then by this non real-time energy consumption data to cloud service
The RabbitMQ cluster of device transmits, no, then be buffered in this RabbitMQ message queue by this non real-time energy consumption data, treat
When network communication returns to normal, the non real-time energy consumption data being buffered in this RabbitMQ message queue is continued to Cloud Server
RabbitMQ cluster transmit；Non real-time energy consumption data includes: electric current, the voltage in each electric melting magnesium furnace history each moment, have
Merit power, power factor and accumulative electric degree, the average current of required time section and average voltage, energy consumption overload alarm information；
Described native monitoring mixed-media network modules mixed-media, for processing the real time energy consumption data received from the RabbitMQ of home server
Obtain non real-time energy consumption data, and the non real-time energy consumption data after processing passes the RabbitMQ of home server back；
Described real time data remote transmission module: receive the real time energy consumption data that the RabbitMQ of home server transmits；Judge net
Network communication is the most normal, is, then transmit real time energy consumption data based on Zookeeper technology to the Zookeeper cluster of Cloud Server,
No, then abandon transmitting real time energy consumption data, and when network communication recovers normal, continue the Zookeeper cluster to Cloud Server
Transmit real time energy consumption data；
The RabbitMQ cluster of described Cloud Server, for receiving the non real-time energy consumption data that the RabbitMQ of home server transmits,
And this non real-time energy consumption data is reached Cloud Server remotely monitors mixed-media network modules mixed-media；
The Zookeeper cluster of described Cloud Server, for receiving what the real time data remote transmission module in home server sent
Real time energy consumption data, and these real time energy consumption data are reached Cloud Server remotely monitors mixed-media network modules mixed-media；
Described Cloud Server remotely monitor mixed-media network modules mixed-media: receive non real-time energy consumption data that RabbitMQ cluster transmits general simultaneously
This non real-time energy consumption data is respectively stored in relevant database and HBase data base；Meanwhile, Zookeeper cluster is also received
The real time energy consumption data transmitted；Response remotely monitors the request of end, the real time energy consumption data received and non real-time energy consumption data is passed
To remotely monitoring that end remotely monitors for staff.
2. using the electric melting magnesium furnace energy consumption Long-Range Surveillance System described in claim 1 to carry out the method that electric melting magnesium furnace energy consumption remotely monitors, it is special
Levy and be: comprise the steps:
Step 1: gather the real time energy consumption data of each electric melting magnesium furnace；
Described real time energy consumption data, including electric current, voltage, active power, power factor and accumulative electricity that each electric melting magnesium furnace is real-time
Degree；
Step 2: real time energy consumption data are carried out serializing process；
Step 3: the real time energy consumption data after serializing being processed are written in the RabbitMQ message queue of home server；
Step 4: the energy consumption data in the RabbitMQ message queue of home server is sent to Cloud Server；
Described energy consumption data includes real time energy consumption data and non real-time energy consumption data；
Step 4.1: the real time energy consumption data in the RabbitMQ message queue of home server are sent to Cloud Server；
Step 4.1.1: judge that network communication is the most normal, be, then perform step 4.1.2, no, then continue executing with step 4.1.1；
Step 4.1.2: the real time energy consumption data in the RabbitMQ message queue of home server are passed based on Zookeeper technology
Deliver in the Zookeeper cluster of Cloud Server,
Step 4.2: the non real-time energy consumption data in the RabbitMQ message queue of home server is sent to Cloud Server；
Step 4.2.1: the real time energy consumption data in the RabbitMQ message queue of home server are carried out process and obtains non real-time energy
Consumption data, and this non real-time energy consumption data is written to the RabbitMQ message queue of home server；Described non real-time energy consumption number
According to, including: each electric melting magnesium furnace history each moment electric current, voltage, active power, power factor and accumulative electric degree, taken
Between the average current of section and average voltage, energy consumption overload alarm information；
Step 4.2.2: judge that network communication is the most normal, be, then perform step 4.2.3, no, then continue executing with step 4.2.2；
Step 4.2.3: the non real-time energy consumption data in the RabbitMQ message queue of home server is sent to Cloud Server
In RabbitMQ cluster；
Step 4.2.4: the non real-time energy consumption data in the RabbitMQ cluster of Cloud Server is stored in relevant database and
In HBase data base；
Step 5: response remotely monitors the request of end, is sent to energy consumption data remotely monitor end, carries out far for remote worker
Journey monitors.
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| CN104807321B (en) * | 2015-04-29 | 2016-12-07 | 东北大学 | Electric melting magnesium furnace running monitoring system and method based on cloud computing technology |
| CN106707949A (en) * | 2015-11-18 | 2017-05-24 | 上海宝冶集团有限公司 | PLC and OPC-based building energy monitoring platform data acquisition device |
| CN105610911A (en) * | 2015-12-18 | 2016-05-25 | 东北大学 | Wind power mobile monitoring system and method based on private cloud |
| CN106249689A (en) * | 2016-09-19 | 2016-12-21 | 东北大学 | A kind of based on the electric melting magnesium furnace data collecting system being wirelessly transferred and method |
| CN106412082B (en) * | 2016-10-31 | 2019-04-26 | 东北大学 | A kind of fused magnesite fusion process mobile monitoring system based on cloud and method |
| CN107091571B (en) * | 2017-04-12 | 2019-05-03 | 东华大学 | A kind of online real-time alarm system of sintering machine energy consumption and method |
| CN109634235A (en) * | 2018-12-11 | 2019-04-16 | 成都航天科工大数据研究院有限公司 | A kind of energy consumption analysis method based on smelting furnace management |
| CN110708295A (en) * | 2019-09-17 | 2020-01-17 | 上海上实龙创智慧能源科技股份有限公司 | Transfer cabinet system based on AMQP protocol |
| CN112615370B (en) * | 2020-12-17 | 2021-12-21 | 国网辽宁省电力有限公司鞍山供电公司 | Wind power consumption coordination control method based on electric smelting magnesium load |
| CN113705601A (en) * | 2021-05-21 | 2021-11-26 | 国网辽宁省电力有限公司鞍山供电公司 | Method for identifying running state of electric smelting magnesium furnace based on random forest |
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