CN102930406A - Application management platform and method for storage battery - Google Patents
Application management platform and method for storage battery Download PDFInfo
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- CN102930406A CN102930406A CN2012104617177A CN201210461717A CN102930406A CN 102930406 A CN102930406 A CN 102930406A CN 2012104617177 A CN2012104617177 A CN 2012104617177A CN 201210461717 A CN201210461717 A CN 201210461717A CN 102930406 A CN102930406 A CN 102930406A
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Abstract
The invention discloses an application management platform and a method for a storage battery. The application management platform for the storage battery can deeply analyze mass and multiple data of the storage battery, compare analysis results with the existing fault model and the low performance model, further judge whether the storage battery has a fault and judge the performance of the storage battery, and call a maintenance scheme matched with the conditions of the storage battery according to the actual conditions of the storage battery. According to the application management platform and the method for the storage battery, the unknown capacity with valuable knowledge can be excavated from the mass data of the storage battery, thereby extracting the valuable data to provide a favorable support for a maintenance decision of the storage battery.
Description
Technical field
The present invention relates to field of power, in particular, relate to a kind of battery applications management platform and method.
Background technology
Along with the progress of society, information-based and automaticity is more and more higher, society is also increasing to the degree of dependence of electric power, communication, finance and transportation industry, and this is just so that socially have higher requirement to the reliability of electric power system.
In electric system, DC power system is the correct basic guarantee of relay protection, aut.eq. as the power supply in relay protection, aut.eq. and control operation loop.Accumulator is as an important component part of DC power system, and its performance quality also directly affects the overall quality of DC power system.Therefore, the maintenance work of accumulator also has been subject to showing great attention to of electric power enterprise.And along with the improving constantly of national grid level, the data volume of relevant accumulator aspect also sharply increases.
Existing battery management system, just can to the accumulator collection in worksite to some data store, and carry out some simple attended operations for the accumulator that the normal range parameter occurs exceeding, for example, when the temperature that monitors accumulator exceeds normal range, can carry out corresponding cooling measure to accumulator.But whether have potential fault and the combination property of accumulator for accumulator, existing battery management system can't be judged.Therefore, a large amount of, several data for accumulator, a kind of ability that can excavate unknown valuable knowledge from the mass data of accumulator should be provided, thereby to extract valuable data, provide the application platform of favourable support for the battery service decision-making.
Summary of the invention
In view of this, the invention provides a kind of battery applications management platform and method, can't have the ability of from data, excavating unknown valuable knowledge in the prior art to overcome, thereby the problem of favourable support is provided for the battery service decision-making.
For achieving the above object, the invention provides following technical scheme:
A kind of battery applications management platform comprises data-storage system, data analysis system, faulty behavior model system, maintenance scheme system and disposal system;
Described data-storage system is used for the accumulator parameter data of storage accumulator collection in worksite;
Described data analysis system is used for described accumulator parameter data analysis is processed;
The supplemental characteristic that described faulty behavior model system is used for processing by analysis carries out association process, and compares with existing fault model and low performance model, judges the performance standard whether described accumulator exists fault and described accumulator;
Described maintenance scheme system is used for storage for different described fault models and/or the maintenance scheme of low performance model, and described maintenance scheme system can be called by described disposal system;
Described disposal system links to each other with above-mentioned data-storage system, data analysis system, faulty behavior model system and maintenance scheme system respectively, when meeting described fault model and/or low performance model for the supplemental characteristic after described analyzing and processing, from described maintenance scheme system, transfer the maintenance scheme corresponding with described fault model and/or low performance model, and accumulator corresponding to supplemental characteristic that meets described fault model and/or low performance model carried out maintenance scheme.
Optionally, described fault model is the model of setting up according to the supplemental characteristic analysis of in the past fail battery; Described low performance model is the model that the parameter analysis of basis low performance cells is in the past set up.
Optionally, described data analysis system comprises:
The multidimensional analysis module is used for adopting multidimensional analysis that described accumulator parameter data analysis is processed;
The machine learning module is used for adopting machine learning algorithm that described accumulator parameter data analysis is processed.
Optionally, also comprise:
Display system is used to the user to show data in the supplemental characteristic of accumulator and the described application management platform that the user need to understand.
A kind of battery applications management method comprises:
Data analysis system is processed the accumulator parameter data analysis of the accumulator collection in worksite of data storage system storage;
The supplemental characteristic that the faulty behavior model system will be processed by analysis carries out association process, and compares with existing fault model and low performance model, judges the performance standard whether described accumulator exists fault and described accumulator;
When the supplemental characteristic of disposal system after described analyzing and processing meets described fault model and/or low performance model, from the maintenance scheme system, transfer the maintenance scheme corresponding with described fault model and/or low performance model, and accumulator corresponding to supplemental characteristic that meets described fault model and/or low performance model carried out maintenance scheme.
Optionally, described fault model is the model of setting up according to the supplemental characteristic analysis of in the past fail battery; Described low performance model is the model that the parameter analysis of basis low performance cells is in the past set up.
Optionally, described to described accumulator parameter data analysis processing, comprising:
Adopt multidimensional analysis and/or machine learning algorithm that described accumulator parameter data analysis is processed.
Optionally, also comprise:
Show data in the supplemental characteristic of accumulator and the described application management platform that the user need to understand by display system for the user.
Via above-mentioned technical scheme as can be known, compared with prior art, the embodiment of the invention discloses a kind of application management platform and method of accumulator, the application management platform of described accumulator can carry out deep analysis to a large amount of, the several data of accumulator, and analysis result compared with existing fault model and low performance model, and then judge the performance whether accumulator exists fault and accumulator, and call the maintenance scheme that is complementary with its situation according to the actual conditions of accumulator.By application management platform and the method for the disclosed accumulator of the embodiment of the invention, can from the mass data of accumulator, excavate the ability of unknown valuable knowledge, thereby to extract valuable data, for the battery service decision-making provides favourable support.
Description of drawings
In order to be illustrated more clearly in the embodiment of the invention or technical scheme of the prior art, the below will do to introduce simply to the accompanying drawing of required use in embodiment or the description of the Prior Art, apparently, accompanying drawing in the following describes only is embodiments of the invention, for those of ordinary skills, under the prerequisite of not paying creative work, can also obtain according to the accompanying drawing that provides other accompanying drawing.
Fig. 1 is the disclosed battery applications management platform of embodiment of the invention structured flowchart;
Fig. 2 is disclosed data analysis system structured flowchart embodiment illustrated in fig. 1;
Fig. 3 is the process flow diagram of the disclosed battery applications management method of the embodiment of the invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the invention, the technical scheme in the embodiment of the invention is clearly and completely described, obviously, described embodiment only is the present invention's part embodiment, rather than whole embodiment.Based on the embodiment among the present invention, those of ordinary skills belong to the scope of protection of the invention not making the every other embodiment that obtains under the creative work prerequisite.
Embodiment one
Fig. 1 is the disclosed battery applications management platform of embodiment of the invention structured flowchart, referring to shown in Figure 1, described battery applications management platform 10 can comprise data-storage system 101, data analysis system 102, faulty behavior model system 103, maintenance scheme system 104 and disposal system 105.
Wherein, described data-storage system 101 is used for the accumulator parameter data of storage accumulator collection in worksite.
Described accumulator parameter data are collected by the field erected sensor of accumulator and/or measuring instrument, and described accumulator parameter data can be sent to the battery applications management platform in real time, or periodic packing is sent to the battery applications management platform.
Described data analysis system 102 is used for described accumulator parameter data analysis is processed.
In a schematic example, the concrete structure of described data analysis system 102 can be referring to Fig. 2, and Fig. 2 is disclosed data analysis system structured flowchart embodiment illustrated in fig. 1, and referring to shown in Figure 2, described data analysis system 102 can comprise:
State multidimensional analysis module 1021 and can analyze same group of data from different angles, such as the battery capacity of an accumulator in one month and the related data of voltage, can count by the time battery tension and the electric capacity data of per January.
The algorithm of described machine learning can be including, but not limited to cluster, classification, prediction, association analysis, outlier is analyzed, collaborative filtering is analyzed, the types such as What-if simulation analysis, by above-mentioned these machine learning algorithms, can from mass data, carry out knowledge excavation, find valuable data, as: the story of " beer and diaper ", namely be by the association analysis algorithm in the data mining, retail data analysis to certain large supermarket, the frequency that the discovery client buys beer and diaper appearance simultaneously is very high, therefore supermarket enterprise binds together above-mentioned two class commodity and sells, and sales volume is promoted greatly.
The supplemental characteristic that described faulty behavior model system 103 is used for processing by analysis carries out association process, and compares with existing fault model and low performance model, judges the performance standard whether described accumulator exists fault and described accumulator.
Wherein, described fault model is the model of the supplemental characteristic analysis foundation of basis fail battery in the past; Described low performance model is the model that the parameter analysis of basis low performance cells is in the past set up.
Described maintenance scheme system 104 is used for storage for different described fault models and/or the maintenance scheme of low performance model, and described maintenance scheme system can be called by described disposal system.
Described maintenance scheme also can be the maintenance scheme that the operation management personnel formulate by the data experience of accumulator property according to processing accumulator failure peace in the past.
Described disposal system 105 links to each other with above-mentioned data-storage system, data analysis system, faulty behavior model system and maintenance scheme system respectively, when meeting described fault model and/or low performance model for the supplemental characteristic after described analyzing and processing, from described maintenance scheme system, transfer the maintenance scheme corresponding with described fault model and/or low performance model, and accumulator corresponding to supplemental characteristic that meets described fault model and/or low performance model carried out maintenance scheme.
In other embodiment, described battery applications management platform can also comprise display system, and described display system can be used to the user to show data in the supplemental characteristic of accumulator and the described application management platform that the user need to understand.
In the present embodiment, the application management platform of stating accumulator can carry out deep analysis to a large amount of, the several data of accumulator, and analysis result compared with existing fault model and low performance model, and then judge the performance whether accumulator exists fault and accumulator, and call the maintenance scheme that is complementary with its situation according to the actual conditions of accumulator.By the application management platform of the disclosed accumulator of the embodiment of the invention, can from the mass data of accumulator, excavate the ability of unknown valuable knowledge, thereby to extract valuable data, for the battery service decision-making provides favourable support.
Embodiment two
Fig. 3 is the process flow diagram of the disclosed battery applications management method of the embodiment of the invention, and referring to shown in Figure 3, described method can comprise:
Step 301: data analysis system is processed the accumulator parameter data analysis of the accumulator collection in worksite of data storage system storage.
Wherein, described to described accumulator parameter data analysis processing, can comprise: adopt multidimensional analysis and/or machine learning algorithm that described accumulator parameter data analysis is processed.
Step 302: the supplemental characteristic that the faulty behavior model system will be processed by analysis carries out association process, and compares with existing fault model and low performance model, judges the performance standard whether described accumulator exists fault and described accumulator.
Wherein, state the model that fault model is set up for the supplemental characteristic analysis of basis fail battery in the past; Described low performance model is the model that the parameter analysis of basis low performance cells is in the past set up.
Step 303: when the supplemental characteristic of disposal system after described analyzing and processing meets described fault model and/or low performance model, from the maintenance scheme system, transfer the maintenance scheme corresponding with described fault model and/or low performance model, and accumulator corresponding to supplemental characteristic that meets described fault model and/or low performance model carried out maintenance scheme.
In other embodiment, the application management method of described accumulator can also comprise: show data in the supplemental characteristic of accumulator and the described application management platform that the user need to understand by display system for the user.
In the present embodiment, the application management method of described accumulator can carry out deep analysis to a large amount of, the several data of accumulator, and analysis result compared with existing fault model and low performance model, and then judge the performance whether accumulator exists fault and accumulator, and call the maintenance scheme that is complementary with its situation according to the actual conditions of accumulator.By the application management method of the disclosed accumulator of the embodiment of the invention, can from the mass data of accumulator, excavate the ability of unknown valuable knowledge, thereby to extract valuable data, for the battery service decision-making provides favourable support.
Also need to prove, in this article, relational terms such as the first and second grades only is used for an entity or operation are made a distinction with another entity or operation, and not necessarily requires or hint and have the relation of any this reality or sequentially between these entities or the operation.And, term " comprises ", " comprising " or its any other variant are intended to contain comprising of nonexcludability, thereby not only comprise those key elements so that comprise process, method, article or the equipment of a series of key elements, but also comprise other key elements of clearly not listing, or also be included as the intrinsic key element of this process, method, article or equipment.Do not having in the situation of more restrictions, the key element that is limited by statement " comprising ... ", and be not precluded within process, method, article or the equipment that comprises described key element and also have other identical element.
The method of describing in conjunction with embodiment disclosed herein or the step of algorithm can directly use the software module of hardware, processor execution, and perhaps the combination of the two is implemented.Software module can place the storage medium of any other form known in random access memory (RAM), internal memory, ROM (read-only memory) (ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or the technical field.
To the above-mentioned explanation of the disclosed embodiments, make this area professional and technical personnel can realize or use the present invention.Multiple modification to these embodiment will be apparent concerning those skilled in the art, and General Principle as defined herein can in the situation that does not break away from the spirit or scope of the present invention, realize in other embodiments.Therefore, the present invention will can not be restricted to these embodiment shown in this article, but will meet the widest scope consistent with principle disclosed herein and features of novelty.
Claims (8)
1. a battery applications management platform is characterized in that, comprises data-storage system, data analysis system, faulty behavior model system, maintenance scheme system and disposal system;
Described data-storage system is used for the accumulator parameter data of storage accumulator collection in worksite;
Described data analysis system is used for described accumulator parameter data analysis is processed;
The supplemental characteristic that described faulty behavior model system is used for processing by analysis carries out association process, and compares with existing fault model and low performance model, judges the performance standard whether described accumulator exists fault and described accumulator;
Described maintenance scheme system is used for storage for different described fault models and/or the maintenance scheme of low performance model, and described maintenance scheme system can be called by described disposal system;
Described disposal system links to each other with above-mentioned data-storage system, data analysis system, faulty behavior model system and maintenance scheme system respectively, when meeting described fault model and/or low performance model for the supplemental characteristic after described analyzing and processing, from described maintenance scheme system, transfer the maintenance scheme corresponding with described fault model and/or low performance model, and accumulator corresponding to supplemental characteristic that meets described fault model and/or low performance model carried out maintenance scheme.
2. application management platform according to claim 1 is characterized in that, described fault model is the model that the supplemental characteristic analysis of basis fail battery is in the past set up; Described low performance model is the model that the parameter analysis of basis low performance cells is in the past set up.
3. application management platform according to claim 1 is characterized in that, described data analysis system comprises:
The multidimensional analysis module is used for adopting multidimensional analysis that described accumulator parameter data analysis is processed;
The machine learning module is used for adopting machine learning algorithm that described accumulator parameter data analysis is processed.
4. application management platform according to claim 1 is characterized in that, also comprises:
Display system is used to the user to show data in the supplemental characteristic of accumulator and the described application management platform that the user need to understand.
5. a battery applications management method is characterized in that, comprising:
Data analysis system is processed the accumulator parameter data analysis of the accumulator collection in worksite of data storage system storage;
The supplemental characteristic that the faulty behavior model system will be processed by analysis carries out association process, and compares with existing fault model and low performance model, judges the performance standard whether described accumulator exists fault and described accumulator;
When the supplemental characteristic of disposal system after described analyzing and processing meets described fault model and/or low performance model, from the maintenance scheme system, transfer the maintenance scheme corresponding with described fault model and/or low performance model, and accumulator corresponding to supplemental characteristic that meets described fault model and/or low performance model carried out maintenance scheme.
6. method according to claim 5 is characterized in that, described fault model is the model that the supplemental characteristic analysis of basis fail battery is in the past set up; Described low performance model is the model that the parameter analysis of basis low performance cells is in the past set up.
7. method according to claim 5 is characterized in that, and is described to described accumulator parameter data analysis processing, comprising:
Adopt multidimensional analysis and/or machine learning algorithm that described accumulator parameter data analysis is processed.
8. method according to claim 5 is characterized in that, also comprises:
Show data in the supplemental characteristic of accumulator and the described application management platform that the user need to understand by display system for the user.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107340475A (en) * | 2016-04-29 | 2017-11-10 | 株式会社日立制作所 | Battery fault detection method and battery fault detection device |
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| CN1702600A (en) * | 2004-05-25 | 2005-11-30 | 索尼株式会社 | Electronic device, method for controlling the same, information processing apparatus, and computer program |
| CN101165633A (en) * | 2006-09-21 | 2008-04-23 | 英特尔公司 | Method, apparatus, and system for power source failure prediction |
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| CN1652389A (en) * | 2000-03-01 | 2005-08-10 | 松下电器产业株式会社 | Battery and maintenance service system for power supply device |
| CN1702600A (en) * | 2004-05-25 | 2005-11-30 | 索尼株式会社 | Electronic device, method for controlling the same, information processing apparatus, and computer program |
| CN101165633A (en) * | 2006-09-21 | 2008-04-23 | 英特尔公司 | Method, apparatus, and system for power source failure prediction |
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Application publication date: 20130213 |