CN105184670A - Power application-based large data management analysis system and method thereof - Google Patents
Power application-based large data management analysis system and method thereof Download PDFInfo
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- CN105184670A CN105184670A CN201510531791.5A CN201510531791A CN105184670A CN 105184670 A CN105184670 A CN 105184670A CN 201510531791 A CN201510531791 A CN 201510531791A CN 105184670 A CN105184670 A CN 105184670A
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Abstract
The invention provides a power application-based large data management analysis system and a method thereof. The system comprises a cabinet, an external server, an external management analysis platform, one or more transformer measuring point sensors, one or more lower computation and storage servers, a power supply module, a gigabit management network module, a ten-gigabit optical fiber data network module, a computation and storage server and one or more high-performance computation and storage servers. The external management analysis platform comprises a large data analysis platform and a power application analysis module. The system is high in integration level, good in availability, excellent in scalability, ideal in heat dissipation effect, stable in performance, and simple and convenient in operation.
Description
Technical field
The present invention relates to power equipment monitoring analysis application, be specifically related to a kind of large data management and analysis system based on electric power application and method thereof.
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 large data management and analysis system meeting large data processing and storage for power industry design and use and method thereof at present.
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, the customizable large data management and analysis system based on electric power application of soft or hard one, modularization, power business and method thereof.
The invention provides the large data management and analysis system of a kind of electric power application, 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.
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, also comprise the fan governor of the side at fan window and the cabinet back side being arranged at cabinet lower backside, fan governor is connected with power module and fan window respectively, and wherein fan window is 4 groups, often organize 3 fans, the power often organizing middle fan is greater than the power of the fan with group both sides.
Preferably, the temperature sensor corresponding with often organizing fan window that fan governor is arranged also is included in.
Preferably, also comprise the vent window be arranged in the middle part of the cabinet back side, described vent window setting position is corresponding with the setting position of power module.
Preferably, the back side of cabinet is be with porose netted backboard, and two sides of cabinet are be with porose netted side plate.
Preferably, in the rack that fan governor records according to temperature sensor, the temperature value of differing heights layer carries out the output power that point rank controls the fan of every one deck respectively, 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, described rack is multiple.
The present invention also provides a kind of large data management analysis method, 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;
(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 to measure the temperature value of differing heights layer in rack in real time, the temperature value according to differing heights layer in the rack recorded carries out the output power that point rank controls the fan of every one deck respectively;
(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) for power industry design and use based on the large data management and analysis system of electric power application and method thereof, 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 (ReadtoRun) 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) 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.
5) radiator portion of the power equipment monitoring device of intelligent heat dissipation is devised on the whole, configuration is optimized by the position to fan window, backboard, side plate, vent window etc., parameter etc., the radiating effect of monitoring device is significantly improved, the obvious length of side of stream time, and do not occur that the faults such as deadlock manifest.
6) Platform Designing of integrated form, integrated level is high, and more intuitively, and operation is succinct convenient.
Accompanying drawing explanation
The large data management and analysis system structural representation of Fig. 1
Fig. 2 cabinet rear view one
Fig. 3 cabinet rear view two
Fig. 4 cabinet side view
Fig. 5 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 large data management and analysis system based on electric power application, as shown in Figure 1, system comprises rack 9, external server 8, external management analysis platform 16 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 16, as shown in Figure 5, external management analysis platform 16 comprises large Data Analysis Platform 17 and electric power applied analysis module 18, wherein large Data Analysis Platform 17 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 18, 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 16, 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, this ensure that analytic system can normally work for a long time in order to reduce the temperature in rack, in order to solve the technical matters of scattering, as shown in Figure 2, the back side of cabinet 9 of the present invention is provided with fan window 10 and fan governor 11, fan governor 11 is connected with power module 4 and fan window 10 respectively, run for the fan controlled in fan window 10, wherein arranging of fan window 10 can be selected according to the quantity of server and set-up mode, preferentially arrange from bottom to top from bottom, such dispersion effect more.Analytic system operationally, air after being heated can upwards drift about, therefore when arranging fan window 10, preferentially arrange from bottom to top bottom cabinet 9, as shown in Figure 2, in first embodiment, the bottom of cabinet is provided with 4 groups of fan windows 10, often organize 3 140*38mm fans, hot plug supported by fan, and the power of the fan of centre is greater than the power of the fan on both sides, air can be made like this to be more conducive to flow out from the side of cabinet 9, dispersion effect more, there is in the middle part of the back side of cabinet 9 vent window 14, the setting position of vent window 14 at the cabinet back side is corresponding with the setting position of power module 4, each power supply in power module is provided with power supply fan, heated air in the middle part of cabinet can blow out from vent window 14 by the power supply fan had due to power module self so simultaneously, because the heated air in the middle part of cabinet 9 include bottom be heated rise part hot-air, therefore vent window 14 be arranged so that heated air can flow out fast, if but all fan power are all opened, system power consumption then can be made to increase, and the load of power supply increases, the stability of system also can decline.Therefore, in order to the temperature of monitoring in cabinet 9 is run with the control fan realizing intelligence, fan governor 11 has and arranges and often organize temperature sensor corresponding to fan window 12, the temperature value in corresponding cabinet height layer cabinet 9 measured by temperature sensor 12, the temperature value of the differing heights layer that fan governor 11 is measured according to temperature sensor 12, control the output power of the fan window 10 of different group respectively, and fan governor 11 carries out according to the temperature in rack the output power that point rank controls the fan window of different group, 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 analytic system when normally working, and P is temperature control parameter.
Compared with traditional set-up mode, the radiating effect of the large data management and analysis system of electric power application of the present invention significantly improves.
In another embodiment, set-up mode and a upper embodiment at the back side of cabinet 9 are similar, just after cabinet bottom has arranged full server, in order to cost-saving, when also needing in upper end to arrange server, also arrange fan window 10 on the top of cabinet 9 equally, and be still arrange from bottom to top from bottom, such dispersion effect more.Normal conditions, the cabinet of server is not when arranging infrastructure modules, all block with baffle plate, cabinet of the present invention is through optimizing, other infrastructure modules and vent window 14 is coordinated to be optimized design, as shown in Figure 2-4, the back side of cabinet 9 is not when arranging the infrastructure modules such as fan window 10 and vent window, all adopt the netted backboard 13 that band is porose, and as shown in Figure 4, two sides of cabinet 9 are be with porose netted side plate 15, although utilizing the porose netted plate of band to be beneficial to heat radiation as the casing of outside is exist in prior art, but the large data all-in-one machine radiating cabinet be used for by such set-up mode based on electric power application does not exist, and the design of backboard 13 in the present invention and side plate 15 is all in conjunction with miscellaneous part in cabinet, such as combine the wind direction of fan, power, the Parameters Optimal Designs such as position, when the one-piece construction adopting such backboard 13 and side plate 15 in conjunction with cabinet, radiating effect reaches the best.As shown in Figure 4, the set-up mode of fan window 10 of the present invention also improves, traditional fan window is all be embedded on cabinet, and be arranged in parallel with cabinet, and in the present invention, fan window 10 is set to relative to the slope of cabinet 9 with certain angle, optimized angle is 5-15 degree, most preferably is 10 degree, by such set-up mode, coordinate the miscellaneous part of cabinet that radiating effect is significantly improved.
Bottom calculates storage server 5, top calculates storage server 6 similar, all adopts frame structure, and bottom calculates storage server 5, top calculates storage server 6 by the L-type guide rails assembling in rack in rack, bottom calculates storage server 5, top calculates storage server 6 and high performance computing service device 2 comprises 2 road CPU processors respectively, high-performance calculation storage server also comprises 1 graphic process unit GPU (preferred model is NVIDIATeslaK40), preferably in embodiment, 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: LSISAS2308 master control, support raid1.0.High-performance calculation storage server 2 and calculating storage server similar, it not only has calculating stores service structure, also comprises 1 e*8PCIE expansion slot.
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 large data management and analysis system of an electric power application, 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.
2. the large data management and analysis system of electric power application 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.
3. the large data management and analysis system of electric power application as claimed in claim 1 or 2, 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.
4. the large data management and analysis system of electric power application as claimed in claim 1, it is characterized in that: the fan governor also comprising the side at fan window and the cabinet back side being arranged at cabinet lower backside, fan governor is connected with power module and fan window respectively, wherein fan window is 4 groups, often organize 3 fans, the power often organizing middle fan is greater than the power of the fan with group both sides.
5. the large data management and analysis system of electric power application as claimed in claim 4, is characterized in that: be also included in the temperature sensor corresponding with often organizing fan window that fan governor is arranged.
6. the large data management and analysis system of the electric power application as described in claim 1 or 5, it is characterized in that: also comprise the vent window be arranged in the middle part of the cabinet back side, described vent window setting position is corresponding with the setting position of power module.
7. the large data management and analysis system of electric power application as claimed in claim 1, it is characterized in that: the back side of cabinet is be with porose netted backboard, two sides of cabinet are be with porose netted side plate.
8. the large data management and analysis system of electric power application as claimed in claim 5, it is characterized in that: in the rack that fan governor records according to temperature sensor, the temperature value of differing heights layer carries out the output power that point rank controls the fan of every one deck respectively, 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 large data management and analysis system of the electric power application as described in any one of claim 1-8, is characterized in that: described rack is multiple.
10. a large data management analysis method for the large data management and analysis system utilizing the electric power according to any one of claim 1-9 to apply, 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;
(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 to measure the temperature value of differing heights layer in rack in real time, the temperature value according to differing heights layer in the rack recorded carries out the output power that point rank controls the fan of every one deck respectively;
(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 (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107256158A (en) * | 2017-06-07 | 2017-10-17 | 广州供电局有限公司 | The detection method and system of power system load reduction |
| CN110058123A (en) * | 2019-04-19 | 2019-07-26 | 国家电网有限公司 | A kind of electric power networks data safety management system |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101697668A (en) * | 2009-10-22 | 2010-04-21 | 宁波隆兴电信设备制造有限公司 | Outdoor cabinet with air channel structure |
| CN103428021A (en) * | 2012-05-25 | 2013-12-04 | 华为技术有限公司 | Cabinet level server, cabinet level server node information management method and system |
| CN203984462U (en) * | 2014-07-22 | 2014-12-03 | 中国舰船研究设计中心 | Hard real time and quasi real time integrated common storage and supplying system |
| CN104991958A (en) * | 2015-07-21 | 2015-10-21 | 山东鲁能软件技术有限公司 | Analysis system and method for power equipment monitoring data |
-
2015
- 2015-08-26 CN CN201510531791.5A patent/CN105184670A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101697668A (en) * | 2009-10-22 | 2010-04-21 | 宁波隆兴电信设备制造有限公司 | Outdoor cabinet with air channel structure |
| CN103428021A (en) * | 2012-05-25 | 2013-12-04 | 华为技术有限公司 | Cabinet level server, cabinet level server node information management method and system |
| CN203984462U (en) * | 2014-07-22 | 2014-12-03 | 中国舰船研究设计中心 | Hard real time and quasi real time integrated common storage and supplying system |
| CN104991958A (en) * | 2015-07-21 | 2015-10-21 | 山东鲁能软件技术有限公司 | Analysis system and method for power equipment monitoring data |
Non-Patent Citations (1)
| Title |
|---|
| 朱朝阳等: "电力大数据平台研究与设计", 《电力信息与通信技术》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107256158A (en) * | 2017-06-07 | 2017-10-17 | 广州供电局有限公司 | The detection method and system of power system load reduction |
| CN107256158B (en) * | 2017-06-07 | 2021-06-18 | 广州供电局有限公司 | Method and system for detecting load reduction of power system |
| CN110058123A (en) * | 2019-04-19 | 2019-07-26 | 国家电网有限公司 | A kind of electric power networks data safety management system |
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