CN104991958A - Analysis system and method for power equipment monitoring data - Google Patents
Analysis system and method for power equipment monitoring data Download PDFInfo
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Abstract
The invention provides an analysis system and method for power equipment monitoring data. The analysis system comprises a cabinet, an outer server, an outer management analysis platform, and one or more power transformation equipment measuring point sensors, and further comprises a lower calculation storage server, a power supply module and a kilomega management network module, a 10-GB optical fiber network module, an upper calculation storage server and a high-performance calculation storage server, wherein the outer management analysis platform comprises a big data analysis platform and a power application analysis module; the high-performance calculation storage server comprises one graph processing unit GPU; the graph processing unit GPU is connected through a single power supply so that independent power supply is realized; and the equipment has high integrity, high availability and good expandability, and the system has stable performances and is simple and convenient to operate.
Description
Technical field
The present invention relates to power equipment monitoring analysis application, be specifically related to a kind of analytic system and method thereof of electric apparatus monitoring data.
Background technology
At present; in order to ensure power grid security, stable, Effec-tive Function; usually converting equipment status monitoring can be carried out; the equipment measuring point data monitored is stored into real-time data base; and periodically by data conversion storage in real-time data base to historical data base, for equipment fault early-warning and monitoring provide analysis data.In actual monitoring scene, because power equipment Monitoring Data amount is large, the sharply expansion of data scale, and along with the progress of science and technology and the demand for development of all-around function integration analyzing and processing, traditional database can not meet the requirement of storage and integrated analysis process.
Along with the develop rapidly of computer technology, the data of every profession and trade increase rapidly, data quantitative change increasing, type also gets more and more, data structure is also tending towards complicated, traditional database, and not only each equipment is independent, and needs larger space for its deployment, there is shortcomings such as not easily disposing, cost is higher, the General Requirements of user can not be met.The appearance of large data all-in-one machine and database thereof and be developed into emerging development trend, but, the not special analytic system meeting the electric apparatus monitoring data of large data processing and storage for power industry design and use and method thereof at present.And, the analytic system of electric apparatus monitoring data is integrated with computing unit (high-performance calculation unit), storage unit, communication unit, the IT infrastructure modules such as administrative unit, its overall work temperature is higher, calculating storage server under normal circumstances all adopts same power supply to power, but when setting comprises the high performance computing service device of GPU, the instability making such power supply mode often can cause voltage of the prior art, likely because too high temperature burns components and parts, also easily GPU is burnt, system works long hours and easily crashes, fragile.
Summary of the invention
The object of the invention is to overcome the deficiencies in the prior art, provide a kind of towards the large market demand scene of power industry, soft or hard one, modularization, stable performance, the customizable large data management and analysis system based on electric power application of power business and method thereof.
The invention provides a kind of analytic system of electric apparatus monitoring data, comprise rack, external server, external management analysis platform and one or more converting equipment measuring point sensor, also comprise the one or more bottoms being arranged at rack bottom and calculate storage server, be arranged at the power module in the middle part of rack and gigabit supervising the network module, be set in turn in the 10000000000 fiber data networking modules on rack top from top to bottom, one or more top calculates storage server and one or more high-performance calculation storage server, 10000000000 fiber data networking modules and gigabit supervising the network module calculate storage server with bottom respectively, top calculates storage server and high-performance calculation storage server connects, 10000000000 fiber data networking modules are also connected with one or more external management analysis platform and external server respectively, one or more converting equipment measuring point sensor connects external server,
Wherein, external management analysis platform comprises large Data Analysis Platform and electric power applied analysis module;
Large Data Analysis Platform comprises:
Large data management module, for installing, disposing, configure, monitor, the control and management of legal power safety and access;
Algorithms library module, is integrated with polyalgorithm database, arranging foundation, control and processing for database model;
Engine modules, for the study of data, inquiry and calculating;
Electric power applied analysis module package power business model bank, for based on power equipment configuration device parameter, sets up power business analytical model;
High-performance calculation storage server comprises 1 graphic process unit GPU, and power module connects the graphic process unit GPU in high-performance calculation storage server by an independent power supply, carries out independent power supply.
Preferably, bottom calculates storage server, top calculates storage server and high performance computing service device also comprises 2 road CPU processors respectively.
Preferably, also comprise the fan and fan governor that are arranged at the cabinet back side, power module is also connected with fan governor, and fan governor is connected with fan.
Preferably, the model of graphic process unit GPU is NVIDIA Tesla K40.
Preferably, described algorithms library be in Mahout distributed algorithm storehouse, Hive data warehouse, Hbose distributed NoSQL database, Mllib memory machines learning database one or more.
Preferably, described engine modules is one or more in SparkSQL database query engine, Spark internal memory computing engines, MapReduce distributed batch computing engines.
Preferably, bottom calculates storage server, top calculates storage server and high-performance calculation storage server all adopts frame structure, each calculates storage server and comprises: comprising 2 road CPU processors is that intel is to strong E5-2620v2 type processor, inside save as 16G*8, DDR3, ECC, frequency >=1333MHz; Also comprise enterprise-level 800G solid-state hard disk SSD; Also comprise 3.5 cun of enterprise-level hard disks: 2T*10, SATA, 7200rpm, 6G interface bandwidth, and support hot plug.
Preferably, go back set temperature sensor in rack, for measuring the temperature in rack, fan governor carries out the output power of step control fan according to the temperature in rack, meets:
1 grade: when 0≤P≤0.25, export 40% power;
2 grades: when 0.25 < P≤0.5, export 65% power;
3 grades: when 0.5 < P≤0.8, export 85% power;
4 grades: when 0.8 < P≤1, export 100% power;
Wherein S is the machine in-cabinet temperature that temperature sensor records, and E is the maximum allowable temperature of large data management and analysis system when normally working, and P is temperature control parameter.
Preferably, fan take fan window as carrier, comprises 3 fans be arranged side by side in each fan window, is the fan being greater than both sides when arranging by the power setting of middle fan.
The present invention also provides a kind of analytical approach of electric apparatus monitoring data, comprises the steps:
(1) initialization, utilize large data management module to install all parts in large data management and analysis system, dispose, configure, monitor, the control and management of legal power safety and access, and be the power of the fan be greater than with group both sides by the power setting of the fan of the centre often organized in fan window, fan window is set to relative to the slope of cabinet with certain angle; Connect the graphic process unit GPU in high-performance calculation storage server by an independent power supply, carry out independent power supply;
(2) based on power equipment configuration device parameter, utilize the power business model be encapsulated in electric power applied analysis module, set up the power business analytical model of large data management and analysis system;
(3) utilize temperature sensor real-time measuring machine in-cabinet temperature value, fan governor carries out the output power of step control fan according to the temperature in rack;
(4) by acquisition converting equipment measuring point information that converting equipment measuring point sensor is real-time, and acquisition converting equipment measuring point information is sent to real-time data base, the converting equipment measuring point information received is carried out package according to the package form of standard by real-time data base, data after package are pushed, be pushed in the buffer area in the real-time data base corresponding with measuring point information in the memory database in real-time data base, data in memory database cache district are resolved, obtain the data corresponding with each equipment measuring point, store in the storer of data in real-time data base after resolving afterwards,
(5) when receiving transmission order, the converting equipment measuring point information of storage is sent to 10,000,000,000 fiber data networking modules by real-time data base;
(6) ten thousand million fiber data networking modules are by after the converting equipment measuring point information distribution that receives, send to the calculating storage server in rack to carry out computing respectively, the converting equipment measuring point information data after computing gives the storer calculated in storage server through gigabit supervising the network module transfer;
(7) step (2)-(6) are repeated, utilize external management analysis platform, send inquiry, statistics according to the request of user to power equipment monitoring device, analyze and/or process operation requests, by visualization processing rear line real-time exhibition.
The present invention compared with prior art, can realize:
1) the large data all-in-one machine for power industry design and use, for the large data analysis of power industry provides the foundation;
2) full distributed large data processing architecture, the IT infrastructure module such as computing unit (high-performance calculation unit), storage unit, communication unit, administrative unit of complexity is carried out integrated, the complete device of out-of-the-box (Readto Run) is provided, carry out overall performance tuning, the function avoiding causing because each device fabrication business operative norm is inconsistent, performance loss, lifting means availability.
3) calculate the calculation features such as (lifting counting yield), streaming calculating (tackling real-time computation requirement) according to large Data Analysis Platform internal memory and customization optimization is carried out to hardware system, internal memory-SSD-HDD three layers of storage system effectively alleviate memory pressure, the use of 10000000000 fiber optic networks, improve the traffic rate of each node, to tackle Large-scale parallel computing demand;
4) to the power supply mode that GPU is independent, the performance of system obtains significantly to be improved, and the time run continuously obviously increases, and the frequency that crashes significantly declines;
5) system extension linear increase, product provides puts from 1/4 configuration, 1/2 configuration, full configuration colony system initial configuration scales such as always extending to the configuration of multimachine cabinet, according to project actual demand flexible configuration product, do not need for later stage system upgrade forward purchasing equipment.When there is performance bottleneck in system, linear expansion system as required.
Accompanying drawing explanation
The analytic system schematic diagram of Fig. 1 electric apparatus monitoring data
Fig. 2 cabinet rear view
Fig. 3 power module is for electrical schematic
Fig. 4 external management analysis platform
Embodiment
The following detailed description of specific embodiment of the invention; what be necessary to herein means out is; below implement just to further illustrate for of the present invention; limiting the scope of the invention can not be interpreted as; some nonessential improvement and adjustment that this art skilled person makes the present invention according to the invention described above content, still belong to protection scope of the present invention.
The invention provides a kind of analytic system of electric apparatus monitoring data, as shown in Figure 1, system comprises rack 9, external server 8, external management analysis platform 12 and one or more converting equipment measuring point sensor 7, also comprise the one or more bottoms being arranged at rack 9 bottom and calculate storage server 5, be arranged at the power module 4 in the middle part of rack and gigabit supervising the network module 3, be set in turn in the 10000000000 fiber data networking modules 1 on rack 9 top from top to bottom, one or more top calculates storage server 6 and one or more high-performance calculation storage server 2, power module 4 calculates storage server 5 with bottom respectively, top calculates storage server 6, gigabit supervising the network module 3, 10000000000 fiber data networking modules 1, high-performance calculation storage server 2 connects, for providing power supply.Wherein, the output terminal of converting equipment measuring point sensor 7 connects real-time data base 8 input end, and real-time data base 8 output terminal is connected with the input end of 10,000,000,000 fiber data networking modules 1.First, system carries out initialization, optimum configurations is carried out by all parts in outside display controller 12 pairs of supervising devices, then the acquisition converting equipment measuring point information that converting equipment measuring point sensor 7 is real-time, such as oil dissolved gas information, shelf depreciation information, electric quantity information, winding deformation information, temperature information, online infrared imaging information etc., after converting equipment measuring point sensor 7 obtains converting equipment measuring point information, the converting equipment measuring point information of acquisition is sent to real-time data base 8, the converting equipment measuring point information received is carried out package according to the package form (such as JSON form) of standard by real-time data base 8, data after package are pushed, be pushed in the buffer area in real-time data base 8 corresponding with measuring point information in the memory database in real-time data base 8, data in memory database cache district are resolved, obtain the data corresponding with each equipment measuring point, store in the storer of data in real-time data base 8 after resolving afterwards.
When receiving transmission order, the converting equipment measuring point information of storage is sent to 10,000,000,000 fiber data networking modules 1 by real-time data base 8, 10000000000 fiber data networking modules 1 calculate storage server 5 with bottom respectively, top calculates storage server 6 and high-performance calculation storage server 2 connects, for after the converting equipment measuring point information distribution that will receive from real-time data base 8, bottom is sent to calculate storage server 5 respectively, top calculates storage server 6 and high-performance calculation storage server 2 carries out computing, converting equipment measuring point information data after computing is transferred to bottom through gigabit supervising the network module 3 and calculates storage server 5, top calculates in the storer in storage server 6 and/or high-performance calculation storage server 2.10000000000 fiber data networking modules 1 are also connected with external management analysis platform 12, as shown in Figure 4, external management analysis platform 12 comprises large Data Analysis Platform 13 and electric power applied analysis module 14, wherein large Data Analysis Platform 13 comprises large data management module, for installing, disposing, configure, monitor, the control and management of legal power safety and access; Also comprise algorithms library module, be integrated with polyalgorithm database (such as Mahout distributed algorithm storehouse, Hive data warehouse, the distributed NoSQL database of Hbose, Mllib memory machines learning database etc.), foundation, control are set and process for database model; Also comprise multiple engine modules (SparkSQL database query engine, Spark internal memory computing engines, the distributed batch computing engines of MapReduce etc.), for the study of data, inquiry, calculating; Electric power applied analysis module 14, encapsulates power business model bank, for based on power equipment configuration device parameter, sets up power business analytical model.User can send request by external management analysis platform 12, carries out inquiring about, adds up, analyzes, the operation requests such as process to power equipment real time monitoring apparatus, is shown by visualization processing rear line.
In system operation, the infrastructure modules heating arranged in cabinet 9, make the air in cabinet be heated and be difficult to flowing simultaneously to leave, temperature in cabinet-type air conditioner raises, and infrastructure modules heat flow can be taken away by the ventilation flowing of air, infrastructure modules temperature in cabinet 9 is declined, temperature in cabinet 9 also can decline thereupon, in order to reduce the temperature in rack, as shown in Figure 2, the analytic system of electric apparatus monitoring data also comprises the fan 10 and fan governor 11 that are arranged at cabinet 9 back side.Power module 4 calculates storage server 5 with bottom respectively, top calculating storage server 6, gigabit supervising the network module 3,10,000,000,000 fiber data networking module 1, high-performance calculation storage server 2 are connected with fan governor 9, for providing power supply, fan governor 11 is connected with fan 10, runs for controlling fan 10.This ensure that supervising device can normally work for a long time, if but all fans are all opened, system power consumption then can be made to increase, and the load of power supply increases, and the stability of system also can decline, therefore, set temperature sensor is gone back in rack, for measuring the temperature in rack, fan governor carries out the output power of step control fan according to the temperature in rack, wherein meets:
1 grade: when 0≤P≤0.25, export 40% power;
2 grades: when 0.25 < P≤0.5, export 65% power;
3 grades: when 0.5 < P≤0.8, export 85% power;
4 grades: when 0.8 < P≤1, export 100% power;
Wherein S is the machine in-cabinet temperature that temperature sensor records, and E is the maximum allowable temperature of the analytic system of electric apparatus monitoring data when normally working, and P is temperature control parameter.Further, fan 10 take fan window as carrier, comprises 3 fans be arranged side by side 10 in each fan window, is the fan being greater than both sides, is so more conducive to the side flow of air from rack, better heat-radiation effect when arranging by the power setting of middle fan.
Bottom calculates storage server 5, top calculates storage server 6 and high performance computing service device 2 comprises 2 road CPU processors respectively, and high-performance calculation storage server also comprises 1 graphic process unit GPU.Calculating storage server under normal circumstances all adopts same power supply to power, but owing to being provided with the high-performance calculation storage server comprising graphic process unit GPU, make such power supply mode often can cause the instability of voltage, the analytic system of electric apparatus monitoring data easily crashes, and easily burn GPU, through research the utility model, the power supply mode of power module 4 is improved, as shown in Figure 3, power module 4 calculates storage server 5 with bottom respectively, top calculates storage server 6 and high-performance calculation storage server 2 connects, for calculating storage server 5 to bottom, top calculates storage server 6 and high-performance calculation storage server 2 is powered, in addition, power module 4 connects the graphic process unit GPU in high-performance calculation storage server 2 by an independent power supply, carry out independent power supply, find to adopt such power supply mode after overtesting after, the performance of the analytic system of electric apparatus monitoring data obtains significantly to be improved, the time of continuous operation obviously increases, and the frequency that crashes significantly declines.
Bottom calculates storage server 5, top calculates storage server 6 similar, all adopt frame structure, bottom calculates storage server 5, top calculates storage server 6 by the L-type guide rails assembling in cabinet in rack, and each calculates storage server and comprises 2 road intel to strong E5-2620v2 type processor, inside save as 16G*8, DDR3, ECC, frequency >=1333MHz, also comprise enterprise-level 800G solid-state hard disk SSD, 3.5 cun of enterprise-level hard disks are 2T*10, SATA, 7200rpm, 6G interface bandwidth, and support hot plug, network interface card is 10,000,000,000 mouthful * 2, and comprise independent independent management network port (RJ45) SAS card: LSI SAS2308 master control, support raid 1.0.
High-performance calculation storage server 2 and calculating storage server similar, it not only has calculating storage server structure, also comprises 1 e
*8PCIE expansion slot, in addition compared with traditional server, high-performance calculation storage server 2 additionally also comprises 1 GPU (preferred model is NVIDIA Tesla K40).
In a preferred embodiment, rack 1 can be the 42U rack of standard, and rack includes L-type guide rail, rail height ﹤ 2.2mm, adopt overall concentration supply power, power module 4 is 5+5 redundant power supply power supply, power >=19200VA, and unitary back is dispelled the heat, fan window 9 groups, often organize fan window 3 140*38mm fans 10, hot plug supported by fan 10, and gigabit supervising the network module 3 comprises server centered administration module.
10000000000 fiber data networking modules 1 can be chosen as 10,000,000,000 optical fiber switchs, and (preferred model is StarNet RG-S6220,48 mouthfuls of optical fiber switchs, configuration optic module.
For the configuration of rack, can be configured according to the demand of reality, such as 1/4 configuration, 1/2 configuration, full configuration put colony system initial configuration scales such as always extending to the configuration of multimachine cabinet.
Although for illustrative purposes; describe illustrative embodiments of the present invention; but it should be appreciated by those skilled in the art that; when not departing from scope of invention disclosed in claims and spirit; the change of various amendment, interpolation and replacement etc. can be carried out in form and details; and all these change the protection domain that all should belong to claims of the present invention; and application claims protection each department of product and method in each step, can combine with the form of combination in any.Therefore, be not intended to limit the scope of the invention to the description of embodiment disclosed in the present invention, but for describing the present invention.Correspondingly, scope of the present invention not by the restriction of above embodiment, but is limited by claim or its equivalent.
Claims (10)
1. the analytic system of electric apparatus monitoring data, it is characterized in that: comprise rack, external server, external management analysis platform and one or more converting equipment measuring point sensor, also comprise the one or more bottoms being arranged at rack bottom and calculate storage server, be arranged at the power module in the middle part of rack and gigabit supervising the network module, be set in turn in the 10000000000 fiber data networking modules on rack top from top to bottom, one or more top calculates storage server and one or more high-performance calculation storage server, 10000000000 fiber data networking modules and gigabit supervising the network module calculate storage server with bottom respectively, top calculates storage server and high-performance calculation storage server connects, 10000000000 fiber data networking modules are also connected with one or more external management analysis platform and external server respectively, one or more converting equipment measuring point sensor connects external server,
Wherein, external management analysis platform comprises large Data Analysis Platform and electric power applied analysis module;
Large Data Analysis Platform comprises:
Large data management module, for installing, disposing, configure, monitor, the control and management of legal power safety and access;
Algorithms library module, is integrated with polyalgorithm database, arranging foundation, control and processing for database model;
Engine modules, for the study of data, inquiry and calculating;
Electric power applied analysis module package power business model bank, for based on power equipment configuration device parameter, sets up power business analytical model;
High-performance calculation storage server comprises 1 graphic process unit GPU, and power module connects the graphic process unit GPU in high-performance calculation storage server by an independent power supply, carries out independent power supply.
2. the analytic system of electric apparatus monitoring data as claimed in claim 1, is characterized in that: bottom calculates storage server, top calculates storage server and high performance computing service device also comprises 2 road CPU processors respectively.
3. the analytic system of electric apparatus monitoring data as claimed in claim 2, is characterized in that: also comprise the fan and fan governor that are arranged at the cabinet back side, power module is also connected with fan governor, and fan governor is connected with fan.
4. the analytic system of the electric apparatus monitoring data as described in any one of claim 1-3, is characterized in that: the model of graphic process unit GPU is NVIDIA Tesla K40.
5. the analytic system of electric apparatus monitoring data as claimed in claim 1, is characterized in that: described algorithms library is in Mahout distributed algorithm storehouse, Hive data warehouse, Hbose distributed NoSQL database, Mllib memory machines learning database one or more.
6. the analytic system of the electric apparatus monitoring data as described in claim 1 or 5, is characterized in that: described engine modules is one or more in SparkSQL database query engine, Spark internal memory computing engines, MapReduce distributed batch computing engines.
7. the analytic system of electric apparatus monitoring data as claimed in claim 6, it is characterized in that: bottom calculates storage server, top calculates storage server and high-performance calculation storage server all adopts frame structure, each calculates storage server and comprises: comprising 2 road CPU processors is that intel is to strong E5-2620v2 type processor, inside save as 16G*8, DDR3, ECC, frequency >=1333MHz; Also comprise enterprise-level 800G solid-state hard disk SSD; Also comprise 3.5 cun of enterprise-level hard disks: 2T*10, SATA, 7200rpm, 6G interface bandwidth, and support hot plug.
8. as claim 1-3, the analytic system of the electric apparatus monitoring data described in 5,7 any one, it is characterized in that: in rack, go back set temperature sensor, for measuring the temperature in rack, fan governor carries out the output power of step control fan according to the temperature in rack, meets:
1 grade: when 0≤P≤0.25, export 40% power;
2 grades: when 0.25 < P≤0.5, export 65% power;
3 grades: when 0.5 < P≤0.8, export 85% power;
4 grades: when 0.8 < P≤1, export 100% power;
Wherein S is the machine in-cabinet temperature that temperature sensor records, and E is the maximum allowable temperature of large data management and analysis system when normally working, and P is temperature control parameter.
9. the analytic system of the electric apparatus monitoring data as described in claim 1-8, is characterized in that: fan take fan window as carrier, comprises 3 fans be arranged side by side in each fan window, is the fan being greater than both sides when arranging by the power setting of middle fan.
10. utilize an analytical approach for the electric apparatus monitoring data of the analytic system of the electric apparatus monitoring data according to any one of claim 1-9, it is characterized in that, comprise the steps:
(1) initialization, utilize large data management module to install all parts in large data management and analysis system, dispose, configure, monitor, the control and management of legal power safety and access, and be the power of the fan be greater than with group both sides by the power setting of the fan of the centre often organized in fan window, fan window is set to relative to the slope of cabinet with certain angle; Connect the graphic process unit GPU in high-performance calculation storage server by an independent power supply, carry out independent power supply;
(2) based on power equipment configuration device parameter, utilize the power business model be encapsulated in electric power applied analysis module, set up the power business analytical model of large data management and analysis system;
(3) utilize temperature sensor real-time measuring machine in-cabinet temperature value, fan governor carries out the output power of step control fan according to the temperature in rack;
(4) by acquisition converting equipment measuring point information that converting equipment measuring point sensor is real-time, and acquisition converting equipment measuring point information is sent to real-time data base, the converting equipment measuring point information received is carried out package according to the package form of standard by real-time data base, data after package are pushed, be pushed in the buffer area in the real-time data base corresponding with measuring point information in the memory database in real-time data base, data in memory database cache district are resolved, obtain the data corresponding with each equipment measuring point, store in the storer of data in real-time data base after resolving afterwards,
(5) when receiving transmission order, the converting equipment measuring point information of storage is sent to 10,000,000,000 fiber data networking modules by real-time data base;
(6) ten thousand million fiber data networking modules are by after the converting equipment measuring point information distribution that receives, send to the calculating storage server in rack to carry out computing respectively, the converting equipment measuring point information data after computing gives the storer calculated in storage server through gigabit supervising the network module transfer;
(7) step (2)-(6) are repeated, utilize external management analysis platform, send inquiry, statistics according to the request of user to power equipment monitoring device, analyze and/or process operation requests, by visualization processing rear line real-time exhibition.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105045922A (en) * | 2015-08-26 | 2015-11-11 | 山东鲁能软件技术有限公司 | Electrical equipment monitoring method and device |
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