CN106709817A - Microgrid equipment full life cycle management system and fault early warning method - Google Patents

Microgrid equipment full life cycle management system and fault early warning method Download PDF

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Publication number
CN106709817A
CN106709817A CN201611158841.0A CN201611158841A CN106709817A CN 106709817 A CN106709817 A CN 106709817A CN 201611158841 A CN201611158841 A CN 201611158841A CN 106709817 A CN106709817 A CN 106709817A
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CN
China
Prior art keywords
equipment
early warning
attribute
real
data
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CN201611158841.0A
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Chinese (zh)
Inventor
沈金荣
董炜
孙铁囤
高玉山
惠杰
赵剑
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Changzhou Campus of Hohai University
Changzhou EGing Photovoltaic Technology Co Ltd
Original Assignee
Changzhou Campus of Hohai University
Changzhou EGing Photovoltaic Technology Co Ltd
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Priority to CN201611158841.0A priority Critical patent/CN106709817A/en
Publication of CN106709817A publication Critical patent/CN106709817A/en
Pending legal-status Critical Current

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas or water supply
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Abstract

The invention relates to a microgrid equipment full life cycle management system and a fault early warning method. The microgrid equipment full life cycle management system comprises a data acquisition module and a data analyzing and processing module, wherein the data acquisition module is used for acquiring real-time status attribute data of corresponding equipment of a microgrid; and the data analyzing and processing module is used for establishing an equipment management database and including the real-time status attribute data in the equipment management database. The fault early warning module is used for setting up an equipment fault early warning model to carry out early warning judgment on equipment fault. According to the microgrid equipment full life cycle management system, the full life cycle of the microgrid equipment is analyzed, effective management and application of the microgrid equipment are achieved, meanwhile analysis is implemented according to the real-time status information of the microgrid equipment combined with the historical status information of the equipment, and the running reliability of the microgrid equipment is improved by setting up the equipment fault early warning module of the microgrid equipment, and meanwhile, no additional requirement for arranging a special device in the microgrid needs to be added, the cost is lowered, and the microgrid equipment full life cycle management system has relatively wide application prospect.

Description

Micro-capacitance sensor life period of an equipment management system and fault early warning method
Technical field
The present invention relates to a kind of micro-capacitance sensor life period of an equipment management system and its fault early warning method.
Background technology
At present, domestic and international micro-capacitance sensor technology quickly grows, and Chinese micro-capacitance sensor market is huge, during " 12 ", intelligence electricity The key task of net is the extensive intermittent new energy interconnection technology of development, and micro-capacitance sensor is the organic component of intelligent grid, As country increases the dynamics of investment to intelligent grid, micro-capacitance sensor also faces good opportunity to develop.According to 12 planning, in State will build up 30 new energy micro-capacitance sensor demonstration projects in 2015.With the continuous extension of micro-capacitance sensor application, its problem of management More aobvious important, micro-capacitance sensor equipment is numerous, wants good each equipment of management, it is impossible to management is only gone in terms of single, is so held Easily cause loss of learning, managerial confusion.Therefore, the effective management to micro-capacitance sensor equipment is realized, micro-capacitance sensor reliability is improved, is micro- An electrical network field big problem urgently to be resolved hurrily.
The content of the invention
It is an object of the invention to provide a kind of micro-capacitance sensor life period of an equipment management system and fault early warning method, with reality Effective monitoring and early warning now are carried out to each equipment of micro-capacitance sensor, the reliability of micro-capacitance sensor is improve.
In order to solve the above-mentioned technical problem, the invention provides a kind of micro-capacitance sensor life period of an equipment management system, bag Include：
Data acquisition module, gathers the real-time status attribute data of micro-capacitance sensor relevant device；
Data Analysis Services module, sets up equipment management data storehouse, and real-time status attribute data is counted into equipment control Database；
The fault pre-alarming module sets up equipment fault early-warning model, and early warning judgement is carried out with to equipment fault.
Further, micro-capacitance sensor relevant device includes：Generating equipment, energy storage device and load equipment；
The attribute data includes：
The corresponding voltage of generating equipment, electric current, irradiation level and generated output data；
The corresponding voltage of energy storage device, current data；
The corresponding voltage of load equipment, electric current and bearing power data.
Further, the equipment fault early-warning model is suitable to show that the real-time status of each equipment is weighted by weighted calculation Value, and be further adapted for calculating each attribute early warning value and weighting early warning value；
For an equipment, if real-time status attribute data is more than attribute early warning value, judge that the equipment breaks down, carry out Early warning；
If attribute early warning value is more than real-time status attribute data, real-time status weighted value is compared with weighting early warning value Compared with, if real-time status weighted value is more than weighting early warning value, judge that the equipment breaks down, carry out early warning.
Further, weighting algorithm in the equipment fault early-warning model, i.e.,Wherein
It is real-time status weighted value, i is device numbering；AikIt is the status attribute data of relevant device, k belongs to for state Property numbering；WikIt is the weight of the corresponding status attribute of each equipment；And
The formula of attribute early warning value, i.e. Mik=A0ik×ηik；
The formula of early warning value is weighted, i.e.,
Wherein MikIt is the attribute early warning value of each equipment, A0ikFor each equipment is dispatched from the factory each status attribute data；ηikIt is each equipment Each status attribute early warning ratio, early warning ratio be the attribute safety limit percentage；And
For each equipment weights early warning value,For each equipment is dispatched from the factory weighted value,For each equipment weights early warning ratio.
Another aspect, present invention also offers a kind of fault early warning method.
The fault early warning method comprises the following steps：
Step S1, sets up the equipment management data storehouse of micro-capacitance sensor relevant device；
Step S2, the real-time status attribute data of each equipment that will be gathered, and count equipment management data storehouse；
Step S3, sets up equipment fault early-warning model, and early warning judgement is carried out with to each equipment fault.
Further, micro-capacitance sensor relevant device includes：Generating equipment, energy storage device and load equipment；
The attribute data includes：The corresponding voltage of generating equipment, electric current, irradiation level and generated output data；Energy storage sets Standby corresponding voltage, current data；The corresponding voltage of load equipment, electric current and bearing power data.
Further, the equipment fault early-warning model is suitable to show that the real-time status of each equipment is weighted by weighted calculation Value, and be further adapted for calculating each attribute early warning value and weighting early warning value；For an equipment, if real-time status attribute data is more than Attribute early warning value, then judge that the equipment breaks down, and carries out early warning；If attribute early warning value is more than real-time status attribute data, Real-time status weighted value is compared with weighting early warning value, if real-time status weighted value is more than weighting early warning value, judging should Equipment breaks down, and carries out early warning.
Further, weighting algorithm in the equipment fault early-warning model, i.e.,Wherein
It is real-time status weighted value, i is device numbering；AikIt is the status attribute data of relevant device, k belongs to for state Property numbering；WikIt is the weight of the corresponding status attribute of each equipment；And
The formula of attribute early warning value, i.e. Mik=A0ik×ηik；
The formula of early warning value is weighted, i.e.,
Wherein MikIt is the attribute early warning value of each equipment, A0ikFor each equipment is dispatched from the factory each status attribute data；ηikIt is each equipment Each status attribute early warning ratio, early warning ratio be the attribute safety limit percentage；And
For each equipment weights early warning value,For each equipment is dispatched from the factory weighted value,For each equipment weights early warning ratio.
The beneficial effects of the invention are as follows, micro-capacitance sensor life period of an equipment management system of the invention and fault early warning method Whole life cycle to micro-capacitance sensor equipment is analyzed, and effective management and utilization to micro-capacitance sensor equipment is realized, while basis The historic state information of the real time status information bonding apparatus of micro-capacitance sensor equipment is analyzed, and sets up the equipment event of micro-capacitance sensor equipment Barrier Early-warning Model, improves micro-capacitance sensor equipment reliability of operation, meanwhile, the present invention extra need not increase special in micro-capacitance sensor Industry device, reduces cost, with wide application prospect.
Brief description of the drawings
The present invention is further described with reference to the accompanying drawings and examples.
Fig. 1 is the theory diagram of micro-capacitance sensor life period of an equipment management system of the invention；
The step of Fig. 2 is fault early warning method of the invention flow chart；
Fig. 3 is fault pre-alarming of the invention and scraps process chart.
Specific embodiment
In conjunction with the accompanying drawings, the present invention is further explained in detail.These accompanying drawings are simplified schematic diagram, only with Illustration illustrates basic structure of the invention, therefore it only shows the composition relevant with the present invention.
Embodiment 1
As shown in figure 1, the present embodiment 1 provides a kind of micro-capacitance sensor life period of an equipment management system, including：Data are adopted Collection module, gathers the real-time status attribute data of micro-capacitance sensor relevant device；Data Analysis Services module, sets up equipment management data Storehouse, and real-time status attribute data is counted into equipment management data storehouse；The fault pre-alarming module sets up equipment fault early-warning mould Type, early warning judgement is carried out with to equipment fault.
Wherein, the data in the equipment management data storehouse include：The real-time status attribute data of each equipment, pre-enter Each equipment factory data, such as but not limited to device numbering treatment and records each equipment production firm, name of product, rule Lattice number, service life.
The corresponding data that this micro-capacitance sensor life period of an equipment management system is further adapted in equipment management data storehouse is sentenced The service life of disconnected equipment, moreover it is possible to be monitored to the working condition of each equipment by real-time status attribute data, and according to Ruuning situation and service life carry out maintaining to equipment.
Specifically, micro-capacitance sensor relevant device includes：Generating equipment, energy storage device and load equipment；The attribute data example Such as, but not limited to, include：The corresponding voltage of generating equipment, electric current, irradiation level and generated output data；The corresponding electricity of energy storage device Pressure, current data；The corresponding voltage of load equipment, electric current and bearing power data.
The equipment fault early-warning model is suitable to be drawn by weighted calculation the real-time status weighted value of each equipment, and also It is suitable to calculate each attribute early warning value and weighting early warning value；For an equipment, if real-time status attribute data is more than attribute early warning Value, then judge that the equipment breaks down, and carries out early warning；If attribute early warning value is more than real-time status attribute data, by real-time shape State weighted value is compared with weighting early warning value, if real-time status weighted value is more than weighting early warning value, judges that the equipment occurs Failure, carries out early warning.
Weighting algorithm in the equipment fault early-warning model, i.e.,Wherein
It is real-time status weighted value, i is device numbering；AikIt is the status attribute data of relevant device, k is status attribute Numbering；WikIt is the weight of the corresponding status attribute of each equipment；And
The formula of attribute early warning value, i.e. Mik=A0ik×ηik；
The formula of early warning value is weighted, i.e.,
Wherein MikIt is the attribute early warning value of each equipment, A0ikFor each equipment is dispatched from the factory each status attribute data；ηikIt is each equipment Each status attribute early warning ratio, early warning ratio be the attribute safety limit percentage；AndFor the weighting of each equipment is pre- Alert value,For each equipment is dispatched from the factory weighted value,For each equipment weights early warning ratio.
Wherein early warning ratio can be by artificial setting.
Embodiment 2
As shown in Figures 2 and 3, on the basis of embodiment 1, the present embodiment 2 provides a kind of fault early warning method, including such as Lower step：
Step S1, sets up the equipment management data storehouse of micro-capacitance sensor relevant device；Step S2, will gather each equipment it is real-time Status attribute data, and count equipment management data storehouse；And step S3, equipment fault early-warning model is set up, with to each equipment Failure carries out early warning judgement.
Wherein, equipment management data storehouse, equipment fault early-warning model are same as Example 1 in the present embodiment 2.
Micro-capacitance sensor relevant device includes：Generating equipment, energy storage device and load equipment；
The attribute data is such as, but not limited to include：The corresponding voltage of generating equipment, electric current, irradiation level and generated output Data；The corresponding voltage of energy storage device, current data；The corresponding voltage of load equipment, electric current and bearing power data.
The equipment fault early-warning model is suitable to be drawn by weighted calculation the real-time status weighted value of each equipment, and also It is suitable to calculate each attribute early warning value and weighting early warning value；For an equipment, if real-time status attribute data is more than attribute early warning Value, then judge that the equipment breaks down, and carries out early warning；If attribute early warning value is more than real-time status attribute data, by real-time shape State weighted value is compared with weighting early warning value, if real-time status weighted value is more than weighting early warning value, judges that the equipment occurs Failure, carries out early warning.
Weighting algorithm in the equipment fault early-warning model, i.e.,Wherein
It is real-time status weighted value, i is device numbering；AikIt is the status attribute data of relevant device, k is status attribute Numbering；WikIt is the weight of the corresponding status attribute of each equipment；And
The formula of attribute early warning value, i.e. Mik=A0ik×ηik；
The formula of early warning value is weighted, i.e.,
Wherein MikIt is the attribute early warning value of each equipment, A0ikFor each equipment is dispatched from the factory each status attribute data；ηikIt is each equipment Each status attribute early warning ratio, early warning ratio be the attribute safety limit percentage；And
For each equipment weights early warning value,For each equipment is dispatched from the factory weighted value,For each equipment weights early warning ratio.
Below with photovoltaic power generation equipment as example, illustrate：
The major parameter of photovoltaic power generation equipment includes voltage, electric current, generating efficiency.
In equipment initial management, gather the entrance of the parameters such as input equipment voltage, electric current, generating efficiency, service life and set Standby management database.
The safety for setting each parameter limits percentage when early warning ratio, calculates voltage, electric current, the early warning of generating efficiency Value, and obtain the weighting early warning value of photovoltaic power generation equipment.
In a device in period management, judge whether equipment reaches service life using man-hour more according to service life, If reached, management is scrapped or is disposed, and carry out data record.
If normal, then gather the data such as the real-time voltage of photovoltaic power generation equipment, electric current, irradiation level and be analyzed treatment, Calculate real-time generating efficiency.
The real-time voltage of photovoltaic power generation equipment, electric current, generating efficiency and its voltage, electric current, the early warning value of generating efficiency enter Row compares, and determines whether failure.If failure, early warning is carried out, and data record is carried out to maintenance and the equipment safeguarded.
If normal, then with the real-time voltage of photovoltaic power generation equipment in equipment management data storehouse, electric current, generating efficiency meter Calculate the real-time status weighted value of photovoltaic power generation equipment.
Compare photovoltaic power generation equipment weighting early warning value and real-time status weighted value, judge equipment whether failure.If failure, Early warning is carried out, and data record is carried out to maintenance and the equipment safeguarded.
Optionally, this micro-capacitance sensor life period of an equipment management system can be realized supervising the use man-hour of equipment Control, carries out scrapping treatment, and carry out data record after equipment exceedes service life.
Can learn whether equipment needs repairing by the early warning information of equipment fault early-warning model, and will can also tie up Record is repaiied to be input into equipment management data storehouse.
With above-mentioned according to desirable embodiment of the invention as enlightenment, by above-mentioned description, relevant staff is complete Various changes and amendments can be carried out without departing from the scope of the technological thought of the present invention' entirely.The technology of this invention Property scope is not limited to the content on specification, it is necessary to its technical scope is determined according to right.

Claims (8)

1. a kind of micro-capacitance sensor life period of an equipment management system, it is characterised in that including：
Data acquisition module, gathers the real-time status attribute data of micro-capacitance sensor relevant device；
Data Analysis Services module, sets up equipment management data storehouse, and real-time status attribute data is counted into equipment management data Storehouse；
The fault pre-alarming module sets up equipment fault early-warning model, and early warning judgement is carried out with to equipment fault.
2. micro-capacitance sensor life period of an equipment management system according to claim 1, it is characterised in that
Micro-capacitance sensor relevant device includes：Generating equipment, energy storage device and load equipment；
The attribute data includes：
The corresponding voltage of generating equipment, electric current, irradiation level and generated output data；
The corresponding voltage of energy storage device, current data；
The corresponding voltage of load equipment, electric current and bearing power data.
3. micro-capacitance sensor life period of an equipment management system according to claim 2, it is characterised in that
The equipment fault early-warning model is suitable to be drawn by weighted calculation the real-time status weighted value of each equipment, and is further adapted for Calculate each attribute early warning value and weighting early warning value；
For an equipment, if real-time status attribute data is more than attribute early warning value, judge that the equipment breaks down, carry out pre- It is alert；
If attribute early warning value is more than real-time status attribute data, real-time status weighted value is compared with weighting early warning value, If real-time status weighted value is more than weighting early warning value, judge that the equipment breaks down, carry out early warning.
4. micro-capacitance sensor life period of an equipment management system according to claim 3, it is characterised in that
Weighting algorithm in the equipment fault early-warning model, i.e.,Wherein
It is real-time status weighted value, i is device numbering；AikIt is the status attribute data of relevant device, k is compiled for status attribute Number；WikIt is the weight of the corresponding status attribute of each equipment；And
The formula of attribute early warning value, i.e. Mik=A0ik×ηik；
The formula of early warning value is weighted, i.e.,
Wherein MikIt is the attribute early warning value of each equipment, A0ikFor each equipment is dispatched from the factory each status attribute data；ηikIt is each shape of each equipment The early warning ratio of state attribute, early warning ratio is that the safety of the attribute limits percentage；And
For each equipment weights early warning value,For each equipment is dispatched from the factory weighted value,For each equipment weights early warning ratio.
5. a kind of fault early warning method, comprises the following steps：
Step S1, sets up the equipment management data storehouse of micro-capacitance sensor relevant device；
Step S2, the real-time status attribute data of each equipment that will be gathered, and count equipment management data storehouse；
Step S3, sets up equipment fault early-warning model, and early warning judgement is carried out with to each equipment fault.
6. fault early warning method according to claim 5, it is characterised in that
Micro-capacitance sensor relevant device includes：Generating equipment, energy storage device and load equipment；
The attribute data includes：
The corresponding voltage of generating equipment, electric current, irradiation level and generated output data；
The corresponding voltage of energy storage device, current data；
The corresponding voltage of load equipment, electric current and bearing power data.
7. fault early warning method according to claim 6, it is characterised in that
The equipment fault early-warning model is suitable to be drawn by weighted calculation the real-time status weighted value of each equipment, and is further adapted for Calculate each attribute early warning value and weighting early warning value；
For an equipment, if real-time status attribute data is more than attribute early warning value, judge that the equipment breaks down, carry out pre- It is alert；
If attribute early warning value is more than real-time status attribute data, real-time status weighted value is compared with weighting early warning value, If real-time status weighted value is more than weighting early warning value, judge that the equipment breaks down, carry out early warning.
8. fault early warning method according to claim 7, it is characterised in that
Weighting algorithm in the equipment fault early-warning model, i.e.,Wherein
It is real-time status weighted value, i is device numbering；AikIt is the status attribute data of relevant device, k is compiled for status attribute Number；WikIt is the weight of the corresponding status attribute of each equipment；And
The formula of attribute early warning value, i.e. Mik=A0ik×ηik；
The formula of early warning value is weighted, i.e.,
Wherein MikIt is the attribute early warning value of each equipment, A0ikFor each equipment is dispatched from the factory each status attribute data；ηikIt is each shape of each equipment The early warning ratio of state attribute, early warning ratio is that the safety of the attribute limits percentage；And
For each equipment weights early warning value,For each equipment is dispatched from the factory weighted value,For each equipment weights early warning ratio.
CN201611158841.0A 2016-12-15 2016-12-15 Microgrid equipment full life cycle management system and fault early warning method Pending CN106709817A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108226548A (en) * 2017-12-29 2018-06-29 江苏汇环环保科技有限公司 A kind of environmental unit operation management system based on life period of an equipment supervision
CN109543847A (en) * 2018-10-16 2019-03-29 中国电力科学研究院有限公司 A kind of electric power big data equipment life period management system

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105446326A (en) * 2016-01-04 2016-03-30 国网浙江奉化市供电公司 Power supply monitoring system and method
CN105515206A (en) * 2016-02-16 2016-04-20 国网山东省电力公司淄博供电公司 Distributed power supply and micro-grid intelligent early warning method thereof

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105446326A (en) * 2016-01-04 2016-03-30 国网浙江奉化市供电公司 Power supply monitoring system and method
CN105515206A (en) * 2016-02-16 2016-04-20 国网山东省电力公司淄博供电公司 Distributed power supply and micro-grid intelligent early warning method thereof

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108226548A (en) * 2017-12-29 2018-06-29 江苏汇环环保科技有限公司 A kind of environmental unit operation management system based on life period of an equipment supervision
CN109543847A (en) * 2018-10-16 2019-03-29 中国电力科学研究院有限公司 A kind of electric power big data equipment life period management system
CN109543847B (en) * 2018-10-16 2023-11-14 中国电力科学研究院有限公司 Lifecycle management system for power big data equipment

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Application publication date: 20170524