CN114638540A - Online analysis and evaluation method and system for equipment running state - Google Patents
Online analysis and evaluation method and system for equipment running state Download PDFInfo
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Abstract
The invention discloses an online analysis and evaluation method for equipment running state, which comprises the steps of collecting original dynamic service data through auxiliary equipment of the Internet of things, and transmitting the data to a data service layer through an RCU platform in a data access layer; carrying out primary clear conversion and summarization on data by an ETL technology; using a penetration engine tool to carry out final data decomposition and evaluation in a business layer; monomer scoring, component scoring, equipment integral scoring and comprehensive result assessment are carried out in an application layer by means of a scoring algorithm, and assessment results are displayed through a visualization layer; the evaluation data are backed up in the data warehouse, and the method has the beneficial effects that: the intelligent integrated working standard process of distributed data fusion, engine, evaluation, calculation, linkage and operation and inspection is realized, advance foreknowledge and risk avoidance of operation and inspection personnel on each device are facilitated, and the high availability of a power system and the devices is effectively improved.
Description
Technical Field
The invention relates to the technical field of equipment running state evaluation, in particular to an online analysis and evaluation method and system for equipment running state.
Background
The problems of the current equipment operation monitoring and evaluating system in the market are as follows: (1) the data analysis technology is rigid in fusion degree, rules and the like and is not flexible enough; the state quantity dimension of the part cannot be identified by the analyzed granularity; (2) the analysis criterion and the algorithm scene are too single, and the use scene is lower; (3) evaluation criteria basically exist independently, and once a scene is changed, development and deployment are needed again, so that the cost is increased; (4) the linkage criterion is not comprehensive, the point-to-point linkage effect is basically achieved at present, once full-scene linkage occurs, the linkage strategy and the calculation method need to be repositioned, developed and deployed, and therefore the utilization rate of the platform is reduced; if the camera receives the patrol task instruction and the linkage instruction, the same patrol and fault linkage point position can be combined into an instruction to be executed and fed back; (5) and (3) message system: the message notification system between the system and the function has lower performance, which causes various message blocking, loss and other conditions; if the mq utilization rate is higher, accurate message positioning and timely notification cannot be achieved; (6) the method comprises the steps that defects and work tickets are communicated, the technical functions in the market at present are not communicated and associated with a defect system and a work ticket system, and some defect data need to be synchronized to the system to eliminate defect flows; some systems need to be manually transferred to transfer system data, and the systems are dispersed, and a unified service platform does not exist for support.
According to the technical scheme, the linkage response of the performance, the flexibility, the message notification system and the defect/working bill is realized, the technical functions of intelligent integration, risk early warning notification, risk prediction prevention and the like are not realized, so that the intelligent comprehensive analysis/evaluation system is particularly important for the operation and the inspection of the power system, and the utilization rate of the equipment in the station can be greatly improved.
Disclosure of Invention
In order to solve the problems, the invention provides an online analysis and evaluation method and system for the running state of equipment.
The invention is realized by the following technical scheme:
an online analysis and evaluation method for equipment running state comprises the following steps:
step 1: acquiring original dynamic service data through auxiliary equipment of the Internet of things, and transmitting the data to a data service layer through an RCU platform in a data access layer;
step 2: the data service layer carries out data cleaning and classification aiming at original dynamic business data, and carries out primary clear conversion and summarization on the data through an ETL technology;
and 3, step 3: as shown in fig. 3, the business data processed by the data service layer is decomposed and evaluated finally by using a penetration engine tool in the business layer;
and 4, step 4: 3, carrying out monomer grading, component grading, equipment integral equipment grading and comprehensive result evaluation on the application layer by depending on a grading algorithm, and displaying the evaluation result through a visualization layer;
and 5: and backing up the assessment data in a data warehouse for subsequent behavior analysis and trend analysis.
As a preferred technical solution of the present invention, the monomer scoring algorithm of step 4 is as follows:
wherein: t- -State quantity score;
v- -state quantity influencing factor;
d- -degree of state quantity deterioration.
As a preferred technical solution of the present invention, the overall scoring algorithm of the device in step 4 is as follows:
wherein: x-device global scoring;
t-total deductions of parts.
As a preferred technical scheme of the invention, the comprehensive result evaluation algorithm in the step 4 is as follows
Or:
wherein: x-influence factor
And (3) final comprehensive scoring: rhomax(x)＝max[ρ1(x),ρ2(x),ρ3(x),ρ4(x),...,ρn(x)]
An online analysis and evaluation system of equipment running state comprises a data access layer, a data service layer, a service layer, an application layer and a display layer, wherein the data access layer comprises an RCU remote data collector and an HTTP communication protocol component; the data service layer comprises a DF component, a data processing module, a governing module, a conversion module, a storage module and a data warehouse; the business layer comprises a data analysis module, a model service module, a grading management module, a linkage service module, a logic service module and an RE rule engine module; the application layer comprises an analysis application module, a state evaluation application module, a service detection application module, a defect management application module, a rule/linkage application module and a model management application module, and the display layer comprises a service platform, a WeChat public number module and an APP module.
Compared with the prior art, the invention has the following beneficial effects:
(1) the etl technology and the engine technology are adopted to realize the functions of data extraction, conversion, decomposition, filtration and storage, and the decision calculation functions of a data filtration system and different scenes are perfected on the basis of distributed cache, mutual exclusion and algorithm technologies;
(2) the rule engine adopts a drools technology, and realizes a cross-platform and cross-system more flexible rule configuration rule technology on the basis of multi-dimension, multi-level and multi-combination, the technology is the core of the system, provides a rule base for data fusion, provides a decision analysis rule for an equipment evaluation system, provides an intercommunication rule standard for a linkage function and the like;
(3) the equipment comprehensive evaluation technology realizes the state quantity evaluation, the component evaluation and the equipment comprehensive evaluation of the equipment by relying on a rule engine, a data fusion and a scoring system, and completes a three-in-one evaluation algorithm technology.
Drawings
FIG. 1 is a schematic view of the flow structure of the evaluation method of the present invention;
FIG. 2 is a schematic flow diagram of a rules engine of the present invention;
FIG. 3 is a schematic diagram of the architecture of the evaluation system of the present invention.
Detailed Description
The present invention will be further illustrated with reference to the accompanying drawings and detailed description, which will be understood as being illustrative only and not limiting in scope. It should be noted that the terms "front," "back," "left," "right," "upper" and "lower" used in the following description refer to directions in the drawings, and the terms "inner" and "outer" refer to directions toward and away from, respectively, the geometric center of a particular component.
An online analysis and evaluation method for the running state of equipment, as shown in fig. 1, includes the following steps:
step 1: the method comprises the steps that original dynamic service data are collected through auxiliary equipment of the Internet of things, data are transmitted to a data service layer through an RCU platform in a data access layer, the data access layer comprises an RCU remote data collector and an HTTP communication protocol component, and the collected data are transmitted to the data service layer through external equipment and various communication protocols in the access layer;
and 2, step: the data service layer carries out data cleaning and classification aiming at original dynamic service data, carries out primary clear conversion and summarization on the data through an ETL technology, carries out data extraction, conversion, transshipment, analysis and integration by utilizing an ETL + service system in the data service layer, simultaneously carries out data exchange with a data warehouse, and relies on the technologies of acquisition, conversion, loading and the like of the ETL (Extract-Transform-Load) and an autonomously encapsulated DF data fusion technology set;
and step 3: the method comprises the steps that after the data service layer processes service data, a penetrating engine tool is used for carrying out final data decomposition and evaluation in the service layer, the principle suitable for multi-node, multi-level and cross matching is independently researched and packaged by relying on an RETEOO algorithm in a drools open source technology, and the rule matching function of multi-scene free discrimination is realized;
and 4, step 4: 3, carrying out monomer grading, component grading, equipment integral equipment grading and comprehensive result evaluation on the application layer by depending on a grading algorithm, and displaying the evaluation result through a visualization layer;
(1) the monomer scoring algorithm is as follows:
wherein: t- -State quantity score;
v- -the state quantity influencing factor;
d- -degree of state quantity degradation.
(2) The component scoring algorithm is as follows:
wherein: t-component deduction item;
w- -Single deduction Range;
n-number of state quantity terms.
(3) The overall equipment scoring algorithm is as follows:
wherein: x-device global scoring;
t-total deductions of parts.
(4) The comprehensive result evaluation algorithm is as follows
Or:
wherein: x-factor of influence
Final composite score: rhomax(x)＝max[ρ1(x),ρ2(x),ρ3(x),ρ4(x),...,ρn(x)]
And 5: and backing up the assessment data in a data warehouse for subsequent behavior analysis and trend analysis.
An online analysis and evaluation system for an equipment running state is shown in fig. 3 and comprises a data access layer, a data service layer, a service layer, an application layer and a display layer, wherein the data access layer comprises an RCU remote data acquisition unit and an HTTP communication protocol component; the data service layer comprises a DF component, a data processing module, a governing module, a conversion module, a storage module and a data warehouse; the business layer comprises a data analysis module, a model service module, a grading management module, a linkage service module, a logic service module and an RE rule engine module; the application layer comprises an analysis application module, a state evaluation application module, a service detection application module, a defect management application module, a rule/linkage application module and a model management application module, and the display layer comprises a service platform, a WeChat public number module and an APP module
The invention realizes the intelligent integrated working standard flow of distributed data fusion, engine, evaluation, calculation, linkage and operation and inspection, and plays an important role in known-known, known-unknown and unknown-unknown risk identification; the technical synthesis of big data, distributed engines is adopted, the operation efficiency of the system is greatly improved, and the effect of billions of data test is achieved; the system facilitates the advance foreknowledge and risk avoidance of the operation and inspection personnel on each device, and effectively improves the high availability of the power system and the devices.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (6)
1. An online analysis and evaluation method for equipment running state is characterized in that: the method comprises the following steps:
step 1: acquiring original dynamic service data through auxiliary equipment of the Internet of things, and transmitting the data to a data service layer through an RCU platform in a data access layer;
step 2: the data service layer carries out data cleaning and classification aiming at original dynamic business data, and carries out primary clear conversion and summarization on the data through an ETL technology;
and step 3: performing final data decomposition and evaluation on the service data processed by the data service layer by using a penetration engine tool in the service layer;
and 4, step 4: 3, monomer scoring, component scoring, equipment integral scoring and comprehensive result evaluation are carried out in the application layer by depending on a scoring algorithm, and the evaluation results are displayed through a visualization layer;
and 5: the assessment data is backed up in a data warehouse for subsequent behavioral and trend analysis.
2. The method for on-line analysis and evaluation of the operating state of equipment according to claim 1, wherein: the monomer scoring algorithm of step 4 is as follows:
wherein: t- -State quantity score;
v- -the state quantity influencing factor;
d- -degree of state quantity deterioration.
3. The method for on-line analysis and evaluation of the operating state of equipment according to claim 1, wherein: the component scoring algorithm in the step 4 is as follows:
wherein: t-component deduction item;
w- -Single deduction Range;
n- -number of state quantity items.
4. The method for on-line analysis and evaluation of the operating state of equipment according to claim 1, wherein: the overall equipment scoring algorithm in the step 4 is as follows:
wherein: x-device global scoring;
t-total deductions of parts.
5. The method for on-line analysis and evaluation of the operating state of equipment according to claim 1, wherein: the comprehensive result evaluation algorithm in the step 4 is as follows
Or:
wherein: x-influence factor
Final composite score: rhomax(x)＝max[ρ1(x),ρ2(x),ρ3(x),ρ4(x),...,ρn(x)]
6. An online analysis and evaluation system for equipment running state is characterized in that: the system comprises a data access layer, a data service layer, a service layer, an application layer and a display layer, wherein the data access layer comprises an RCU remote data collector and an HTTP communication protocol component; the data service layer comprises a DF component, a data processing module, a governing module, a conversion module, a storage module and a data warehouse; the business layer comprises a data analysis module, a model service module, a grading management module, a linkage service module, a logic service module and an RE rule engine module; the application layer comprises an analysis application module, a state evaluation application module, a service detection application module, a defect management application module, a rule/linkage application module and a model management application module, and the display layer comprises a service platform, a WeChat public number module and an APP module.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107862459A (en) * | 2017-11-10 | 2018-03-30 | 国网浙江省电力公司电力科学研究院 | Metering equipment state evaluation method and system based on big data |
| CN111062633A (en) * | 2019-12-24 | 2020-04-24 | 广东电网有限责任公司 | Power transmission and transformation line and equipment state evaluation system based on multi-source heterogeneous data |
| CN111143097A (en) * | 2018-11-03 | 2020-05-12 | 千寻位置网络有限公司 | GNSS positioning service-oriented fault management system and method |
| CN111461519A (en) * | 2020-03-27 | 2020-07-28 | 国网安徽省电力有限公司宣城供电公司 | Power grid operation management system based on big data |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107862459A (en) * | 2017-11-10 | 2018-03-30 | 国网浙江省电力公司电力科学研究院 | Metering equipment state evaluation method and system based on big data |
| CN111143097A (en) * | 2018-11-03 | 2020-05-12 | 千寻位置网络有限公司 | GNSS positioning service-oriented fault management system and method |
| CN111062633A (en) * | 2019-12-24 | 2020-04-24 | 广东电网有限责任公司 | Power transmission and transformation line and equipment state evaluation system based on multi-source heterogeneous data |
| CN111461519A (en) * | 2020-03-27 | 2020-07-28 | 国网安徽省电力有限公司宣城供电公司 | Power grid operation management system based on big data |
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