CN105930957A - Risk early warning method for electric energy meter automatic verification line - Google Patents

Risk early warning method for electric energy meter automatic verification line Download PDF

Info

Publication number
CN105930957A
CN105930957A CN201610224817.6A CN201610224817A CN105930957A CN 105930957 A CN105930957 A CN 105930957A CN 201610224817 A CN201610224817 A CN 201610224817A CN 105930957 A CN105930957 A CN 105930957A
Authority
CN
China
Prior art keywords
risk
early warning
index
step
electric energy
Prior art date
Application number
CN201610224817.6A
Other languages
Chinese (zh)
Inventor
刘建
宋瑞鹏
苏慧玲
邵雪松
王忠东
蔡奇新
Original Assignee
国网江苏省电力公司电力科学研究院
国家电网公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 国网江苏省电力公司电力科学研究院, 国家电网公司 filed Critical 国网江苏省电力公司电力科学研究院
Priority to CN201610224817.6A priority Critical patent/CN105930957A/en
Publication of CN105930957A publication Critical patent/CN105930957A/en

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063Operations research or analysis
    • G06Q10/0635Risk analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06Electricity, gas or water supply

Abstract

The invention discloses a risk early warning method for an electric energy meter automatic verification line. The method includes the following steps that: step 1, a risk index system is established; step 2, an index influence scope evaluation module is established; step 3, an early warning response module and an early warning directional push module are established; step 3, indexes in the risk index system are monitored, so that risk index data can be obtained, and whether a risk has been formed is judged; and step 5, when it is judged that the risk has been formed in the step 4, an early warning response event in the early warning response module is triggered based on the risk index data and the index influence scope evaluation module, and risk early warning content is pushed to users in different roles through the early warning directional push module. With the method of the invention adopted, early warning information can be provided for operation and maintenance personnel effectively before the occurrence of faults, and the operation and maintenance personnel can be assisted to avoid system risks and reduce the probability of the occurrence of faults.

Description

A kind of method for prewarning risk for automatic calibration of electric energy meter line

Technical field

The invention belongs to electric energy metrical detection technique field, relate to a kind of method for prewarning risk for automatic calibration of electric energy meter line.

Background technology

Automatic calibration of electric energy meter line realize electric energy metering device calibrating, provide and deliver, the function such as storage, be made up of assay device, AGV, robot, warehousing system, seal system and pipeline etc..Device layout dispersion, production process is uncertain big, produce control increasingly complex changeable, any one link breaks down all can affect the operation beat of automatic calibration line, particularly key link fault, production system can be caused to shut down, reduce measurement verification production capacity, cause the delay of the production schedule and distribution plan.Therefore be highly desirable to propose a kind of method and the generation of automatic calibration of electric energy meter line fault is decreased or even eliminated, it is ensured that electric energy metering device efficiently, reliably examine and determine, promotes the intelligent level of automatic calibration of electric energy meter line further.

At present, other net electric power saving measurement unit domestic still rests on the stage of malfunction monitoring and process to the operation maintenance of automatic calibration line, i.e. by finding that fault, tracing trouble, the method for handling failure are recovered automatic calibration line and run, the method lays particular emphasis on process and the recovery after fault occurs to automatization's line, it is applicable to process and breaks down, although fault finally can process in acquisition, but automatization's line uses unit still cannot avoid the loss of yield and artificial waste.Based on above present situation, the creation data provided in conjunction with existing automatic calibration line, under the background of current big data trend analysis technology, it is necessary completely before fault occurs, pay close attention to the Changing Pattern of risk, carry out failure risk early warning timely and effectively, change operation reserve, stop or reduce the generation of fault, ensure the lasting reliability service of automatic calibration line.

Summary of the invention

For realizing above-mentioned technical purpose, the present invention provides a kind of method for prewarning risk for automatic calibration of electric energy meter line, effectively can provide early warning information for operation maintenance personnel before fault occurs, help operation maintenance personnel's avoidance system risk, reduce the probability that fault occurs.

Realizing above-mentioned technical purpose, reach above-mentioned technique effect, the present invention is achieved through the following technical solutions:

A kind of method for prewarning risk for automatic calibration of electric energy meter line, comprises the following steps:

Step one: set up risk indicator system, for setting system Risk Monitoring point;Including from different the equipment fault data class index of production line, equipment operating load data class index, production process data class indexs;

Step 2: set up Index Influence scope evaluation module, coverage system caused including index each in estimated risk index system, and form the evaluation result of standard;

Step 3: set up early warning respond module and early warning orientation pushing module;Described early warning respond module refers to system after risk exists and automatically performs the risk prediction scheme of correspondence;Described early warning orientation pushing module refers on the basis of obtaining Monitoring Indexes data, with Index Influence scope evaluation module for according to pushing the Risk-warning content responsible person to association link;

Step 4: be monitored the indices in risk indicator system, obtains risk indicator data, and discriminant risk has been formed;

Step 5: when judging in step 4 that risk is formed, in conjunction with risk indicator data and Index Influence scope evaluation module, triggers the early warning response events in early warning respond module, pushes Risk-warning content by early warning orientation pushing module to the user of different role.

In described step one, risk indicator system is made up of following three part index numbers:

S=A+B+C

In formula, S represents risk indicator system, and A is local fault data class index, including frequently occurring and on local or the integrated automation calibrating influential fault message of line;B is equipment operating load data class index, limits data including system each hardware load of regulation when design;C is to generate the data that process data class index includes that the data that production process accumulates obtain through excavation computing.

In described step 4, described indices in risk indicator system is monitored, and the process that discriminant risk has been formed includes: for local fault data class Monitoring Indexes and differentiation, use the mode reading hardware device to obtain fault message, and competing risks occurrence condition differentiates;Described equipment operating load data class Monitoring Indexes and differentiation, use frequently timing to calculate desired value, and competing risks occurrence condition differentiate, i.e.

Vr≥Vp×Vm

V in formularFor the actual value of risk indicator, VmFor the maximum of risk indicator, VpFor risk genetic coefficient;

The method that described production process data class Monitoring Indexes uses historical average to compare identifies whether to reach risk conditions, and Risk Calculation method is:

V in formulaaRepresentation unit equipment/unit is qualified or passes through average time, xiQualified or number of pass times, V for unit equipment/unitsFor value-at-risk, μ is risk factor, if current device qualified/number of pass times is less than VsTime, trigger Risk-warning.

The evaluation result of described formation standard includes setting up the incidence relation between every risk indicator, the scope of impact, user role, defines scope, the trigger event of impact after risk occurs, notifies which user.

Described early warning respond module is for performing the event that each index defines at venture influence evaluation phase;Described early warning orientation pushing module sets Risk-warning content, Risk-warning content is pushed to associates user and is scheduling Developing Tactics.

Described association user includes: calibrating scheduling user, plant maintenance user, seal management user and store management user.

Beneficial effects of the present invention:

In the present invention, the failure risk of automatic calibration of electric energy meter line runs through whole electric energy meter calibration business procedure, including in advance, in thing, afterwards, but more early find that risk more early takes measures, then the cost of risk management is the lowest, the benefit brought to verification process is the biggest, and therefore method for prewarning risk is that risk identification, risk analysis, risk monitoring and control provide strong means, has extremely important status in whole electric energy meter calibration production process.

The method for prewarning risk that the present invention provides can evade or reduce the fault of automatic calibration of electric energy meter line effectively, the timely early warning of the system that reaches also provides adjustment suggestion, make the scheduling strategy adjusting automatic calibration line reasonable, it is of value to the continuous service of production line, improves the fine-grained management level that measurement verification produces.

Accompanying drawing explanation

Fig. 1 is that the method for prewarning risk of automatic calibration of electric energy meter line realizes schematic diagram;

Fig. 2 is early warning response and early warning orientation propelling movement schematic diagram.

Detailed description of the invention

In order to make the purpose of the present invention, technical scheme and advantage clearer, below in conjunction with embodiment, the present invention is further elaborated.Should be appreciated that specific embodiment described herein, only in order to explain the present invention, is not intended to limit the present invention.

Below in conjunction with the accompanying drawings the application principle of the present invention is explained in detail.

As it is shown in figure 1, a kind of method for prewarning risk for automatic calibration of electric energy meter line, comprise the following steps:

Step one: set up risk indicator system, for setting system Risk Monitoring point;Including from different the equipment fault data class index of production line, equipment operating load data class index, production process data class indexs;In the present invention, the composition of automatic calibration of electric energy meter line comprises calibrating line, Sealed wire, storehouse automatization line, and risk indicator system is the set that quantization system and equipment exist risk;

Step 2: set up Index Influence scope evaluation module, coverage system caused including index each in estimated risk index system, and form the evaluation result of standard;Need it is evaluated one by one for the risk indicator set up in step one;

Step 3: set up early warning respond module and early warning orientation pushing module;Described early warning respond module refers to system after risk exists and automatically performs the risk prediction scheme of correspondence;Described early warning orientation pushing module refers on the basis of obtaining Monitoring Indexes data, with Index Influence scope evaluation module for according to pushing the Risk-warning content responsible person to association link;

Step 4: be monitored the indices in risk indicator system, obtains risk indicator data, and discriminant risk has been formed;

Step 5: when judging in step 4 that risk is formed, in conjunction with risk indicator data and Index Influence scope evaluation module, triggers the early warning response events in early warning respond module, pushes Risk-warning content by early warning orientation pushing module to the user of different role.

In described step one, risk indicator system is made up of following three part index numbers:

S=A+B+C

In formula, S represents risk indicator system, and A is local fault data class index, including frequently occurring and on local or the influential fault message of integrated automation line, such as stack machine fault, AGV off line fault detection index;B is equipment operating load data class index, data are limited including system each hardware load of regulation when design, these limit the another part constituting risk indicator, before load reaches maximum, early warning is conducive to evading traffic overload risk, and such as verification platform for electric energy meter stream time, transmission line maximum bears buttress quantity;C is to generate the data produced during process data class index includes generating, such as batch arrival does not starts sampling observation yet after 30 days, volume of production is less than amount of plan, storehouse equipment storage is less than dispensing demand etc., although automatization's line is characterised by that the task of automatically performing distribution is without manual intervention, but there is also fault mistakes and omissions or situation about neglecting one's supervisory duties, such as stack machine does not reports fault, but motor belt skid, stack machine goods is caused to send less than storage space, set up this index and stack machine is monitored, on stack machine, goods continues for some time not change and can determine that as fault without manual patrol or wait alarm;

In described step 4, the process that described discriminant risk has been formed is: in Monitoring Data and information, screening meets the index of risk occurrence condition.

In described step 4, described indices in risk indicator system is monitored, and the process that discriminant risk has been formed includes: for local fault data class Monitoring Indexes and differentiation, the mode (sensing data collection) reading hardware device and the method resolved, and competing risks occurrence condition differentiates, if hardware device is managed by PLC or OPC, use and obtain fault message with PLC or OPC according to by the way of rendezvous protocol synchrodata;Described equipment operating load data class Monitoring Indexes uses the method for frequent timing comparing, competing risks occurrence condition, and early warning meets the index of condition,

Above two risk differentiate risk occurrence condition particularly as follows:

Vr≥Vp×Vm

In formula: VrFor the actual value of risk indicator, operation management system monitoring obtain;VmFor the maximum of risk indicator, i.e. equipment peak load;VpFor risk genetic coefficient, by User Defined early warning lower limit coefficient.

The method that described production process data class Monitoring Indexes uses historical average to compare identifies whether to reach risk conditions, and Risk Calculation method is:

V in formulaaRepresentation unit equipment/unit is qualified or passes through average time, xiQualified or number of pass times, V for unit equipment/unitsFor value-at-risk, μ is risk factor, by User Defined early warning lower limit coefficient;If current device is qualified/and number of pass times is less than VsTime, trigger Risk-warning.On such as calibrating stage body, the certified products mean of 40 epi-positions calibrating on the same day is VaBeing 4 times, risk factor is 0.7, draws value-at-risk VsIt is 2.8, when epi-position number of pass times is 2, then triggers early warning.

In described step 2, the evaluation result of described formation standard includes setting up each risk indicator, incidence relation between the scope of impact and user role, definition risk occur after impact scope, trigger event, notify which user;The generation of risk is along with coverage, and the event of the biggest triggering of coverage is the most, and the user of notice is the most, and for same risk to different user early warning, the content of early warning is the most different.Coverage is divided in automatic calibration line according to the scope of offical duty of personnel and is generally divided into storehouse reservoir area, calibrating district, seal district, can do further segmentation according to wire body complexity or personnel Different Effects scope of dividing the work;Trigger event be define index occurrence risk after thing to be automatically performed (execution process completes in early warning responds), such as transmission line outbound section block up risk occur, the execution event now defined is for calibrating line, Sealed wire request slip automatic pause and hangs up, and alleviates transmission line pressure;The definition of early warning user depends on the definition of coverage, and this step is by setting up the incidence relation between risk indicator, coverage, user role, and when making risk occur, early warning content can customize based on this incidence relation and be pushed to different users.

Early warning response and orientation propelling movement are the subsequent treatment that risk triggers early warning, and described early warning respond module is for performing the event that each index defines at venture influence evaluation phase;Setting Risk-warning content in described early warning orientation pushing module, Risk-warning content includes pushing that reason, current data be detailed and suggestion disposal method, and Risk-warning content is pushed to associate user is scheduling Developing Tactics;Such as transmission line outbound section blocks up after index occurrence risk, early warning respond module will suspend pending operation according to the definition application for execution list affecting evaluation phase, and notify the management of store management, seal, inspection administration role respectively, push risk generation position, expection impacts, scheduling strategy adjusts suggestion, and detailed process is shown in Fig. 2.

Described association user includes: calibrating scheduling user, plant maintenance user, seal management user and store management user.

The ultimate principle of the present invention and principal character and advantages of the present invention have more than been shown and described.Skilled person will appreciate that of the industry; the present invention is not restricted to the described embodiments; the principle that the present invention is simply described described in above-described embodiment and description; without departing from the spirit and scope of the present invention; the present invention also has various changes and modifications, and these changes and improvements both fall within scope of the claimed invention.Claimed scope is defined by appending claims and equivalent thereof.

Claims (6)

1. the method for prewarning risk for automatic calibration of electric energy meter line, it is characterised in that comprise the following steps:
Step one: set up risk indicator system, for setting system Risk Monitoring point;Including from different the equipment fault data class index of production line, equipment operating load data class index, production process data class indexs;
Step 2: set up Index Influence scope evaluation module, coverage system caused including index each in estimated risk index system, and form the evaluation result of standard;
Step 3: set up early warning respond module and early warning orientation pushing module;Described early warning respond module refers to system after risk exists and automatically performs the risk prediction scheme of correspondence;Described early warning orientation pushing module refers on the basis of obtaining Monitoring Indexes data, with Index Influence scope evaluation module for according to pushing the Risk-warning content responsible person to association link;
Step 4: be monitored the indices in risk indicator system, obtains risk indicator data, and discriminant risk has been formed;
Step 5: when judging in step 4 that risk is formed, in conjunction with risk indicator data and Index Influence scope evaluation module, triggers the early warning response events in early warning respond module, pushes Risk-warning content by early warning orientation pushing module to the user of different role.
Method for prewarning risk for automatic calibration of electric energy meter line the most according to claim 1, it is characterised in that: in described step one, risk indicator system is made up of following three part index numbers:
S=A+B+C
In formula, S represents risk indicator system, and A is local fault data class index, including frequently occurring and on local or the integrated automation calibrating influential fault message of line;B is equipment operating load data class index, limits data including system each hardware load of regulation when design;C is production process data class index, and the data including production process accumulation pass through the data that excavation computing obtains.
Method for prewarning risk for automatic calibration of electric energy meter line the most according to claim 2, it is characterized in that: in described step 4, described indices in risk indicator system is monitored, and the process that discriminant risk has been formed includes: for local fault data class Monitoring Indexes and differentiation, use the mode reading hardware device to obtain fault message, and competing risks occurrence condition differentiates;Described equipment operating load data class Monitoring Indexes and differentiation, use frequently timing to calculate desired value, and competing risks occurrence condition differentiate, i.e.
Vr≥Vp×Vm
V in formularFor the actual value of risk indicator, VmFor the maximum of risk indicator, VpFor risk genetic coefficient;
The method that described production process data class Monitoring Indexes uses historical average to compare identifies whether to reach risk conditions, and Risk Calculation method is:
V in formulaaRepresentation unit equipment/unit is qualified or passes through average time, xiQualified or number of pass times, V for unit equipment/unitsFor value-at-risk, μ is risk factor, if current device qualified/number of pass times is less than VsTime, trigger Risk-warning.
Method for prewarning risk for automatic calibration of electric energy meter line the most according to claim 1, it is characterized in that: the evaluation result of described formation standard includes setting up the incidence relation between every risk indicator, the scope of impact, user role, define scope, the trigger event of impact after risk occurs, notify which user.
Method for prewarning risk for automatic calibration of electric energy meter line the most according to claim 1, it is characterised in that: described early warning respond module is for performing the event that each index defines at venture influence evaluation phase;Described early warning orientation pushing module sets Risk-warning content, Risk-warning content is pushed to associates user and is scheduling Developing Tactics.
Method for prewarning risk for automatic calibration of electric energy meter line the most according to claim 5, it is characterised in that: described association user includes: calibrating scheduling user, plant maintenance user, seal management user and store management user.
CN201610224817.6A 2016-04-12 2016-04-12 Risk early warning method for electric energy meter automatic verification line CN105930957A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610224817.6A CN105930957A (en) 2016-04-12 2016-04-12 Risk early warning method for electric energy meter automatic verification line

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610224817.6A CN105930957A (en) 2016-04-12 2016-04-12 Risk early warning method for electric energy meter automatic verification line

Publications (1)

Publication Number Publication Date
CN105930957A true CN105930957A (en) 2016-09-07

Family

ID=56838065

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610224817.6A CN105930957A (en) 2016-04-12 2016-04-12 Risk early warning method for electric energy meter automatic verification line

Country Status (1)

Country Link
CN (1) CN105930957A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107506916A (en) * 2017-08-15 2017-12-22 上海数聚软件系统股份有限公司 A kind of enterprise operation Warning System based on index

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103914791A (en) * 2014-03-17 2014-07-09 中国南方电网有限责任公司超高压输电公司检修试验中心 Electrical equipment state maintenance system

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103914791A (en) * 2014-03-17 2014-07-09 中国南方电网有限责任公司超高压输电公司检修试验中心 Electrical equipment state maintenance system

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107506916A (en) * 2017-08-15 2017-12-22 上海数聚软件系统股份有限公司 A kind of enterprise operation Warning System based on index

Similar Documents

Publication Publication Date Title
CN101776862B (en) System and method for advanced condition monitoring of an asset system
CN102035260B (en) Intelligent warning and fault analysis realizing method for intelligent transformer substation monitoring system
CN106200616B (en) Periodic decomposition analysis for remote machine monitoring
CN102765643B (en) Elevator fault diagnosis and early-warning method based on data drive
CN1195358C (en) Intelligent engineering machinery fault diagnosing system based on networked movable operation machines
KR100976443B1 (en) Home-network error prediction system and home-network fault estimation method
CN102262690B (en) Modeling method of early warning model of mixed failures and early warning model of mixed failures
CN101043152A (en) Intelligent decision support system for urban power grid accidents
CN103144937B (en) System and method for intelligently monitoring belt-type conveyer for coal mine steel wire rope core
CN100538761C (en) Built-in intelligent fault diagnosing device based on data inosculating pattern recognition and method thereof
CN104753178A (en) Power grid fault handling system
CN102923538A (en) Elevator health management and maintenance system based on Internet of things and collection and assessment method
Wang et al. Conceptual design of remote monitoring and fault diagnosis systems
Bayar et al. Fault detection, diagnosis and recovery using Artificial Immune Systems: A review
CN102638100A (en) District power network equipment abnormal alarm signal association analysis and diagnosis method
CN102637019A (en) Intelligent integrated fault diagnosis method and device in industrial production process
CN1845029A (en) Setting method for fault diagnosis and accident prediction
CN103247177B (en) Large-scale road network traffic flow real-time dynamic prediction system
CN103178615A (en) Method and system for monitoring power equipment failures
CN103473710A (en) Graded handling method for faults of centralized operation and maintenance systems
CN101950327B (en) Equipment state prediction method based on fault tree information
CN102663530A (en) Safety early warning and evaluating system for high-voltage direct current transmission system
CN104091070B (en) Rail transit fault diagnosis method and system based on time series analysis
CN104571099B (en) Photovoltaic fault diagnosis system and method based on theoretical calculation and data analysis
CN102707178B (en) Method for prewarning and monitoring failures of secondary equipment of power system

Legal Events

Date Code Title Description
PB01 Publication
C06 Publication
SE01 Entry into force of request for substantive examination
C10 Entry into substantive examination