CN110082623A - A kind of switchgear health status evaluation method and system - Google Patents
A kind of switchgear health status evaluation method and system Download PDFInfo
- Publication number
- CN110082623A CN110082623A CN201910425126.6A CN201910425126A CN110082623A CN 110082623 A CN110082623 A CN 110082623A CN 201910425126 A CN201910425126 A CN 201910425126A CN 110082623 A CN110082623 A CN 110082623A
- Authority
- CN
- China
- Prior art keywords
- health
- equipment
- influence factor
- switchgear
- circuit
- Prior art date
- Legal status (The legal status 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 status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a kind of switchgear health status evaluation method and system, include the following steps: the health risk assessment model for establishing switchgear operation;M influence factor of equipment each in switchgear or circuit is detected, m influence factor detection data is obtained;By the m influence factor detection data and influence factor reservation threshold niIt is compared, obtains the health status value w of each equipment or circuiti;According to influence factor reservation threshold niWith health status value wi, the health degree value h of each equipment or circuit is calculatedj;Pass through health degree value hj, the operation health degree value H of global switch cabinet is calculated;By the way that the operation health degree value H of the global switch cabinet to be compared with scheduled health degree threshold values in the health risk assessment model, the operation Health Category of switchgear is obtained;The accurate evaluation to equipment each in switchgear or circuit operation health status may be implemented according to health risk assessment model.
Description
Technical field
The present invention relates to switchgear detection technique field more particularly to a kind of switchgear health status evaluation method and it is
System.
Background technique
Switchgear is a kind of electrical equipment, mainly plays the work that power generation, transmission of electricity, distribution and electric energy are converted in electric system
With being internally provided with various master control circuits and sub-control route, structure is complicated;
Traditional switchgear diagnostic method is the assessment of failure model proposed based on probability of malfunction and failure effect mostly, but
During actual use, the checkout and diagnosis for only carrying out probability of malfunction and failure effect can not complete reactive switches cabinet operation
Health status, such as: actual motion number of devices, equipment influence on system operation factor and each equipment are in whole fortune in switchgear
The influence specific gravity generated in row belongs to a part in switchgear operation health degree index;So that the state evaluation of switchgear is inclined
It is poor big.
Summary of the invention
Technical problems based on background technology the invention proposes a kind of switchgear health status evaluation method and are
The accurate evaluation to equipment each in switchgear or circuit operation health status may be implemented according to health risk assessment model for system.
A kind of switchgear health status evaluation method proposed by the present invention, switchgear include each equipment or circuit, evaluation side
Method includes the following steps:
The health risk assessment model of switchgear operation is established, and detection is carried out to the health risk assessment model and is matched
It sets;
The m influence according to the detection configuration in the health risk assessment model, on equipment each in switchgear or circuit
Factor is detected, and obtains m influence factor detection data, wherein m is greater than the integer equal to 1;
By the m influence factor detection data and influence factor reservation threshold ni(i≤m) is compared, and is respectively set
Standby or circuit health status value wi(i≤m), the influence factor reservation threshold niIt is in the health risk assessment model
Preset threshold values corresponding with m influence factor;
According to influence factor reservation threshold niWith health status value wi, the health degree value h of each equipment or circuit is calculatedj;
Pass through health degree value hjWith each equipment or circuit proportion P set in the health risk assessment modelj,
The operation health degree value H of global switch cabinet is calculated;
By by scheduled health in the operation health degree value H of the global switch cabinet and the health risk assessment model
Bottom valve value is compared, and obtains the operation Health Category of switchgear.
Further, it is configured in the detection according in the health risk assessment model, to equipment each in switchgear
Or before m influence factor of circuit is detected, comprising:
Judge whether that the detection for changing the health risk assessment model configures;
If so, turning on the switch each equipment to be detected or circuit in cabinet, and unlock shadow to be detected in each equipment or circuit
The factor of sound, shields influence factor not to be detected in each equipment or circuit;
If it is not, then directly according to the health risk assessment model on m of equipment each in switchgear or circuit influence because
Element is detected.
Further, in the health degree value h that each equipment or circuit is calculatedjIn, it sets each equipment or circuit is total
There are M, wherein hjIn j≤M, be calculate by the following formula:
In the operation health degree value H that global switch cabinet is calculated, it is calculate by the following formula:
Wherein, wiFor the health status value of i-th of influence factor, hjFor j-th of equipment or the health degree value of circuit.
Further, scheduled health degree threshold values is N in the health risk assessment modelx(x≤2), N1For the first valve
Value, N2For the second threshold values, wherein as H≤N1When, the operation Health Category of switchgear is health, works as N1<H≤N2When, switchgear
Operation Health Category be inferior health, work as H > N2When, the operation Health Category of switchgear is unhealthy.
Further, the health status value w of each equipment or circuiti, wherein wi=1 or wi=2,1 is health, and 2 is not
Health.
Further, each equipment or circuit include master switch, governor circuit, sub-control switch and sub-control circuit.
A kind of switchgear health status evaluation system, which is characterized in that including establishing module, the first computing module, health
Threshold value makes a reservation for and contrast module, the second computing module, third computing module and grade evaluation module;
Module is established for establishing the health risk assessment model of switchgear operation, and to the health risk assessment model
Carry out detection configuration;
First computing module is used to be configured according to the detection in the health risk assessment model, to equipment each in switchgear
Or m influence factor of circuit is detected, and m influence factor detection data is obtained;
Healthy threshold value is predetermined and contrast module is used for the m influence factor detection data and influence factor reservation threshold
ni(i≤m) is compared, and obtains the health status value w of each equipment or circuiti(i≤m), the influence factor reservation threshold niIt is
Threshold values corresponding with m influence factor is preset in the health risk assessment model;
Second computing module is used for according to influence factor reservation threshold niWith health status value wi, be calculated each equipment or
The health degree value h of circuitj;
Third computing module passes through health degree value hjWith each equipment or electricity set in the health risk assessment model
Road proportion Pj, the operation health degree value H of global switch cabinet is calculated;
Grade evaluation module is used for by by the operation health degree value H of the global switch cabinet and the health risk assessment
Scheduled health degree threshold values is compared in model, obtains the operation Health Category of switchgear.
It further, further include judgment module and shroud module;
Judgment module is used to judge whether to change the detection configuration of the health risk assessment model, if so, entering solution
Lock module, if it is not, then entering the first computing module;
Shroud module is used to open each equipment to be detected or circuit in switchgear, and unlocks to be detected in each equipment or circuit
Influence factor, shield influence factor not to be detected in each equipment or circuit.
A kind of electrical equipment health status evaluation method, which is characterized in that include each equipment or circuit in electrical equipment, comment
Valence method includes the following steps:
The health risk assessment model of electric equipment operation is established, and detection is carried out to the health risk assessment model and is matched
It sets;
According to the detection configuration in the health risk assessment model, to m shadow of equipment each in electrical equipment or circuit
The factor of sound is detected, and wherein m is greater than the integer equal to 1;
Influence factor corresponding with m influence factor in m influence factor and the health risk assessment model is made a reservation for
Threshold values ni(i≤m) is compared, and obtains the health status value w of the corresponding each equipment of m influence factor or circuiti(i≤
m);
According to influence factor reservation threshold niWith health status value wi, the health degree value h of each equipment or circuit is calculatedj;
Pass through health degree value hjWith each equipment or circuit proportion P set in the health risk assessment modelj,
The operation health degree value H of piece electrical equipment is calculated;
By by scheduled health in the operation health degree value H of the global switch cabinet and the health risk assessment model
Bottom valve value is compared, and obtains the operation Health Category of switchgear.
A kind of computer-readable storage media, which is characterized in that be stored on the computer readable storage medium several
Sort program is obtained, several acquisition sort programs by processor for being called and executing following steps:
The health risk assessment model of switchgear operation is established, and detection is carried out to the health risk assessment model and is matched
It sets;
The m influence according to the detection configuration in the health risk assessment model, on equipment each in switchgear or circuit
Factor is detected, and obtains m influence factor detection data, wherein m is greater than the integer equal to 1;
By the m influence factor detection data and influence factor reservation threshold ni(i≤m) is compared, and is respectively set
Standby or circuit health status value wi(i≤m), the influence factor reservation threshold niIt is in the health risk assessment model
Preset threshold values corresponding with m influence factor;
According to influence factor reservation threshold niWith health status value wi, the health degree value h of each equipment or circuit is calculatedj;
Pass through health degree value hjWith each equipment or circuit proportion P set in the health risk assessment modelj,
The operation health degree value H of global switch cabinet is calculated;
By by scheduled health in the operation health degree value H of the global switch cabinet and the health risk assessment model
Bottom valve value is compared, and obtains the operation Health Category of switchgear.
The advantages of a kind of switchgear health status evaluation method and system provided by the invention, is: mentioning in structure of the invention
Actual motion number of devices in switchgear is arranged in a kind of switchgear health status evaluation method and system supplied, equipment runs shadow
Ring factor and each equipment or influence specific gravity that circuit generates in overall operation, it can be with according to health risk assessment model
Realize the accurate evaluation to equipment each in switchgear or circuit operation health status;Influence in health risk assessment model simultaneously
Factor reservation threshold niWith health degree threshold values, different threshold values, Jin Erke can be set according to the actual use needs of switchgear
To filter out operation Health Category of the switchgear under different parameters environment;By the parameter of change detection configuration, realize different
The detection influenced under influence factor on switchgear, obtains the operation Health Category of different affecting factors lower switch cabinet.Described strong
By shielding or unlocking the detection configuration of influence factor in health risk evaluation model, human cost is saved, switchgear is improved
Detection efficiency, enrich the scope of application of health risk assessment model.
Detailed description of the invention
Fig. 1 is an a kind of flow chart of steps of switchgear health status evaluation method of the present invention;
Fig. 2 is a kind of another flow chart of steps of switchgear health status evaluation method of the present invention;
Fig. 3 is a kind of flow chart of switchgear health status evaluation system of the present invention;
Wherein, 1- establishes module, and the first computing module of 2-, 3- health threshold value is predetermined and contrast module, 4- second calculate mould
Block, 5- third computing module, 6- grade evaluation module, 7- judgment module, 8- shroud module.
Specific embodiment
In the following, technical solution of the present invention is described in detail by specific embodiment.
As shown in Figure 1, a kind of switchgear health status evaluation method proposed by the present invention, switchgear include each equipment or electricity
Road, evaluation method include the following steps S1 to S6:
S1: the health risk assessment model of switchgear operation is established, and the health risk assessment model is detected
Configuration;
Detection configuration processing, institute are carried out using existing health risk assessment model, and to the health risk assessment model
Stating detection configuration includes the parameters such as equipment rated power, running temperature, load topological correlation, and specific detection configuration can basis
Concrete condition setting, and then it can be concluded that specific switchgear operation Health Category.
S2: it is configured according to the detection in the health risk assessment model, to m shadow of equipment each in switchgear or circuit
The factor of sound is detected, and obtains m influence factor detection data, wherein m is greater than the integer equal to 1;
The m influence factor detection data is switchgear corresponding detection data under m influence factor;
S3: by the m influence factor detection data and influence factor reservation threshold ni(i≤m) is compared, and is obtained each
The health status value w of equipment or circuiti(i≤m), the influence factor reservation threshold niIt is in the health risk assessment model
In preset threshold values corresponding with m influence factor;
S4: according to influence factor reservation threshold niWith health status value wi, the health degree value of each equipment or circuit is calculated
hj;
S5: pass through health degree value hjWith each equipment or circuit proportion set in the health risk assessment model
Pj, the operation health degree value H of global switch cabinet is calculated;
Specific gravity PjWhen setting, equipment health degree and rated power, rate of load condensate, temperature etc. is kept to influence the factor of specific gravity
In setting range.
S6: by by the operation health degree value H of the global switch cabinet with it is scheduled in the health risk assessment model
Health degree threshold values is compared, and obtains the operation Health Category of switchgear.
By step S1 to S6 it is found that may be implemented according to health risk assessment model to equipment each in switchgear or circuit
Run the accurate evaluation of health status, while the influence factor reservation threshold n in health risk assessment modeliWith healthy bottom valve
Value, can be arranged different threshold values, and then can filter out switchgear in different parameters according to the actual use needs of switchgear
Operation Health Category under environment.
As shown in Fig. 2, specifically, being configured in the detection according in the health risk assessment model, to switchgear
Before interior each equipment or m influence factor of circuit are detected, the detection configuration being arranged before being confirmed whether to be modified,
Health status evaluation method includes the following steps:
S101: the health risk assessment model of switchgear operation is established, and the health risk assessment model is examined
It is measured and sets;
S201: judge whether to change the detection configuration of the health risk assessment model;
If so, entering step S301;
If it is not, then entering step S401;
S301: each equipment to be detected or circuit in cabinet are turned on the switch, and unlocks influence to be detected in each equipment or circuit
Factor shields influence factor not to be detected in each equipment or circuit, enters step S203;
S401: configuring according to the detection in the health risk assessment model, to m of equipment each in switchgear or circuit
Influence factor is detected, and obtains m influence factor detection data corresponding with m influence factor, wherein m is greater than equal to 1
Integer;
S501: by the m influence factor detection data and influence factor reservation threshold ni(i≤m) is compared, and is obtained
The health status value w of each equipment or circuiti(i≤m), the influence factor reservation threshold niIt is in the health risk assessment mould
Threshold values corresponding with m influence factor is preset in type;
When influence factor detection data is less than or equal to influence factor reservation threshold niWhen, wi=1, indicate switchgear in the shadow
It is health status under the factor of sound, when influence factor detection data is greater than influence factor reservation threshold niWhen, wi=2, indicate switchgear
It is unhealthy condition under the influence factor.
Specifically as an embodiment, using in an equipment or circuit voltage value, current value, temperature value as influence because
For element, influence factor m=3, influence factor reservation threshold n at this timeiIt is then n1=maximum stop voltage value, n2=maximum limits
Current value, n3=maximum limits temperature value, and using voltage value as the first influence factor, current value is as the second influence factor, temperature
Angle value is as third influence factor;When switchgear detects under the first influence factor voltage value, voltage detecting data are obtained, electricity is worked as
Detection data is pressed to be less than or equal to n1When, w1=1, when voltage detecting data are greater than n1When, w1=2;When switchgear second influence because
It is detected under plain current value, obtains current detecting data, when current detecting data are less than or equal to n2When, w2=1, when current detecting number
According to greater than n2When, w2=2;When switchgear detects under third influence factor temperature value, temperature detection data are obtained, when temperature is examined
Measured data is less than or equal to n3When, w3=1, when current detecting data are greater than n3When, w3=2.
S601: according to influence factor reservation threshold niWith health status value wi, the health degree of each equipment or circuit is calculated
Value hj;It is provided with wi=1 or wi=2,1 is health, and 2 be unhealthy.
It sets each equipment or circuit shares M, wherein hjIn j≤M, be calculate by the following formula health degree value
hj:
It should be understood that being calculated by the following formula the health degree value h of t moment when t moment is detectedj:
Wherein, wiFor the health status value of i-th of influence factor, wiIt (t) is healthy shape of i-th of influence factor in t moment
State value;
It should also be understood that when each equipment or circuit include master switch, governor circuit, sub-control switch and sub-control circuit, respectively
Equipment or circuit share 4, i.e. M is equal to 4.
S701: pass through health degree value hjWith each equipment or circuit institute accounting set in the health risk assessment model
Weight Pj, the operation health degree value H of global switch cabinet is calculated;
It is calculate by the following formula operation health degree value H:
It should be understood that being calculated by the following formula the operation health degree value H of t moment when t moment is detected:
Wherein, hjFor j-th of equipment or the health degree value of circuit, hjIt (t) is j-th of equipment or circuit in the strong of t moment
Health angle value.
S801: by will make a reservation in the operation health degree value H of the global switch cabinet and the health risk assessment model
Health degree threshold values be compared, obtain the operation Health Category of switchgear.
Scheduled health degree threshold values is N in the health risk assessment modelx(x≤2), N1For the first threshold values, N2It is second
Threshold values, wherein as H≤N1When, the operation Health Category of switchgear is health, works as N1<H≤N2When, operation health of switchgear etc.
Grade is inferior health, works as H > N2When, the operation Health Category of switchgear is unhealthy
It is realized under different affecting factors by the parameter of change detection configuration to switchgear by step S101 to S801
The detection of influence obtains the operation Health Category of different affecting factors lower switch cabinet.It is set in the health risk assessment model
Multiple influence factors are set, when being directed to the detection of switchgear, by shielding under influence factor not to be detected, are unlocked to be detected
The setting of influence factor avoids needing to add or delete corresponding detection parameters manually every time, improves the detection effect of switchgear
Rate, while this shielding or the setting of unlock influence factor, save human cost, enrich the suitable of health risk assessment model
Use range.
As shown in figure 3, a kind of switchgear health status evaluation system, which is characterized in that counted including establishing module 1, first
Calculation module 2, healthy threshold value makes a reservation for and contrast module 3, the second computing module 4, third computing module 5 and grade evaluation module 6;
Module 1 is established for establishing the health risk assessment model of switchgear operation, and to the health risk assessment mould
Type carries out detection configuration;
First computing module 2 is used to be configured according to the detection in the health risk assessment model, respectively sets in switchgear
Standby or circuit m influence factor is detected to obtain m influence factor detection data;
Healthy threshold value is predetermined and contrast module 3 is used for the m influence factor detection data and the predetermined valve of influence factor
Value ni(i≤m) is compared, and obtains the health status value w of each equipment or circuiti(i≤m), the influence factor reservation threshold ni
It is that threshold values corresponding with m influence factor is preset in the health risk assessment model;
Second computing module 4 is used for according to influence factor reservation threshold niWith health status value wi, be calculated each equipment or
The health degree value h of circuitj;
Third computing module 5 passes through health degree value hjWith each equipment or electricity set in the health risk assessment model
Road proportion Pj, the operation health degree value H of global switch cabinet is calculated;
Grade evaluation module 6 is used for by commenting the operation health degree value H of the global switch cabinet with the health risk
Estimate scheduled health degree threshold values in model to be compared, obtains the operation Health Category of switchgear.
It further, further include judgment module 7 and shroud module 8;
Judgment module 7 is used to judge whether to change the detection configuration of the health risk assessment model, if so, entering solution
Lock module 8, if it is not, then entering the first computing module 2;
Shroud module 8 is used to open each equipment to be detected or circuit in switchgear, and unlocks to be checked in each equipment or circuit
The influence factor of survey shields influence factor not to be detected in each equipment or circuit.
A kind of electrical equipment health status evaluation method, which is characterized in that include each equipment or circuit in electrical equipment, comment
Valence method includes the following steps:
The health risk assessment model of electric equipment operation is established, and detection is carried out to the health risk assessment model and is matched
It sets;
According to the detection configuration in the health risk assessment model, to m shadow of equipment each in electrical equipment or circuit
The factor of sound is detected, and obtains m influence factor detection data, wherein m is greater than the integer equal to 1;
By the m influence factor detection data and influence factor reservation threshold ni(i≤m) is compared, and is respectively set
Standby or circuit health status value wi(i≤m), the influence factor reservation threshold niIt is in the health risk assessment model
Preset threshold values corresponding with m influence factor;
According to influence factor reservation threshold niWith health status value wi, the health degree value h of each equipment or circuit is calculatedj;
Pass through health degree value hjWith each equipment or circuit proportion P set in the health risk assessment modelj,
The operation health degree value H of piece electrical equipment is calculated;
By by scheduled health in the operation health degree value H of the global switch cabinet and the health risk assessment model
Bottom valve value is compared, and obtains the operation Health Category of switchgear.
It should be understood that the measuring units such as installation electric current, voltage, temperature and humidity, leakage current, harmonic wave, run switch cabinet can be passed through
Or when electrical equipment, the operating condition of real-time monitoring switchgear or electrical equipment may be implemented, in time the alarm signals such as displacement, out-of-limit
Breath, thus the purpose of position-sensing switch cabinet or electrical equipment malfunction point, to improve the overhaul efficiency of switchgear or electrical equipment.
A kind of computer-readable storage media, which is characterized in that be stored on the computer readable storage medium several
Sort program is obtained, several acquisition sort programs by processor for being called and executing following steps:
The health risk assessment model of switchgear operation is established, and detection is carried out to the health risk assessment model and is matched
It sets;
The m influence according to the detection configuration in the health risk assessment model, on equipment each in switchgear or circuit
Factor is detected, and obtains m influence factor detection data, wherein m is greater than the integer equal to 1;
By the m influence factor detection data and influence factor reservation threshold ni(i≤m) is compared, and is respectively set
Standby or circuit health status value wi(i≤m), the influence factor reservation threshold niIt is in the health risk assessment model
Preset threshold values corresponding with m influence factor;
According to influence factor reservation threshold niWith health status value wi, the health degree value h of each equipment or circuit is calculatedj;
Pass through health degree value hjWith each equipment or circuit proportion P set in the health risk assessment modelj,
The operation health degree value H of global switch cabinet is calculated;
By by scheduled health in the operation health degree value H of the global switch cabinet and the health risk assessment model
Bottom valve value is compared, and obtains the operation Health Category of switchgear.
Those of ordinary skill in the art will appreciate that: realize that all or part of the steps of above method embodiment can pass through
The relevant hardware of program instruction is completed, and program above-mentioned can be stored in a computer readable storage medium, the program
When being executed, step including the steps of the foregoing method embodiments is executed;And storage medium above-mentioned includes: ROM, RAM, magnetic disk or light
The various media that can store program code such as disk.
The foregoing is only a preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto,
Anyone skilled in the art in the technical scope disclosed by the present invention, according to the technique and scheme of the present invention and its
Inventive concept is subject to equivalent substitution or change, should be covered by the protection scope of the present invention.
Claims (10)
1. a kind of switchgear health status evaluation method, which is characterized in that switchgear includes each equipment or circuit, evaluation method packet
Include following steps:
The health risk assessment model of switchgear operation is established, and detection configuration is carried out to the health risk assessment model;
According to the detection configuration in the health risk assessment model, to m influence factor of equipment each in switchgear or circuit
It is detected, obtains m influence factor detection data, wherein m is greater than the integer equal to 1;
By the m influence factor detection data and influence factor reservation threshold ni(i≤m) is compared, and obtains each equipment or electricity
The health status value w on roadi(i≤m), the influence factor reservation threshold niIt is to be set in advance in the health risk assessment model
Fixed threshold values corresponding with m influence factor;
According to influence factor reservation threshold niWith health status value wi, the health degree value h of each equipment or circuit is calculatedj;
Pass through health degree value hjWith each equipment or circuit proportion P set in the health risk assessment modelj, calculate
Obtain the operation health degree value H of global switch cabinet;
By by healthy bottom valve scheduled in the operation health degree value H of the global switch cabinet and the health risk assessment model
Value is compared, and obtains the operation Health Category of switchgear.
2. switchgear health status evaluation method according to claim 1, which is characterized in that described according to the health
Detection configuration in risk evaluation model, before being detected to m influence factor of equipment each in switchgear or circuit, packet
It includes:
Judge whether that the detection for changing the health risk assessment model configures;
If so, turn on the switch each equipment to be detected or circuit in cabinet, and unlock in each equipment or circuit influence to be detected because
Element shields influence factor not to be detected in each equipment or circuit;
If it is not, then directly according to the health risk assessment model to m influence factor of equipment each in switchgear or circuit into
Row detection.
3. switchgear health status evaluation method according to claim 1 to 2, which is characterized in that calculated described
To each equipment or the health degree value h of circuitjIn, it sets each equipment or circuit shares M, wherein hjIn j≤M, pass through following public affairs
Formula is calculated:
In the operation health degree value H that global switch cabinet is calculated, it is calculate by the following formula:
Wherein, wiFor the health status value of i-th of influence factor, hjFor j-th of equipment or the health degree value of circuit.
4. switchgear health status evaluation method according to claim 1 to 2, which is characterized in that the health risk
Scheduled health degree threshold values is N in assessment modelsx(x≤2), N1For the first threshold values, N2For the second threshold values, wherein as H≤N1When,
The operation Health Category of switchgear is health, works as N1<H≤N2When, the operation Health Category of switchgear is inferior health, works as H > N2When,
The operation Health Category of switchgear is unhealthy.
5. switchgear health status evaluation method according to claim 1 to 2, which is characterized in that each equipment or
The health status value w of circuiti, wherein wi=1 or wi=2,1 is health, and 2 be unhealthy.
6. switchgear health status evaluation method according to claim 1 to 2, which is characterized in that each equipment or circuit
Including master switch, governor circuit, sub-control switch and sub-control circuit.
7. a kind of switchgear health status evaluation system, which is characterized in that including establish module (1), the first computing module (2),
Healthy threshold value makes a reservation for and contrast module (3), the second computing module (4), third computing module (5) and grade evaluation module (6);
Module (1) is established for establishing the health risk assessment model of switchgear operation, and to the health risk assessment model
Carry out detection configuration;
First computing module (2) is used to be configured according to the detection in the health risk assessment model, to equipment each in switchgear
Or m influence factor of circuit is detected, and m influence factor detection data is obtained;
Healthy threshold value is predetermined and contrast module (3) are used for the m influence factor detection data and influence factor reservation threshold ni
(i≤m) is compared, and obtains the health status value w of each equipment or circuiti(i≤m), the influence factor reservation threshold niBe
Threshold values corresponding with m influence factor is preset in the health risk assessment model;
Second computing module (4) is used for according to influence factor reservation threshold niWith health status value wi, each equipment or electricity is calculated
The health degree value h on roadj;
Third computing module (5) passes through health degree value hjWith each equipment or circuit set in the health risk assessment model
Proportion Pj, the operation health degree value H of global switch cabinet is calculated;
Grade evaluation module (6) is used for by by the operation health degree value H of the global switch cabinet and the health risk assessment
Scheduled health degree threshold values is compared in model, obtains the operation Health Category of switchgear.
8. switchgear health status evaluation system according to claim 7, which is characterized in that further include judgment module (7)
With shroud module (8);
Judgment module (7) is used to judge whether to change the detection configuration of the health risk assessment model, if so, entering unlock
Module (8), if it is not, then entering the first computing module (2);
Shroud module (8) is used to open each equipment to be detected or circuit in switchgear, and unlocks to be detected in each equipment or circuit
Influence factor, shield influence factor not to be detected in each equipment or circuit.
9. a kind of electrical equipment health status evaluation method, which is characterized in that include each equipment or circuit, evaluation in electrical equipment
Method includes the following steps:
The health risk assessment model of electric equipment operation is established, and detection configuration is carried out to the health risk assessment model;
According to the detection configuration in the health risk assessment model, on m influence of equipment each in electrical equipment or circuit because
Element is detected, and obtains m influence factor detection data, wherein m is greater than the integer equal to 1;
By the m influence factor detection data and influence factor reservation threshold ni(i≤m) is compared, and obtains each equipment or electricity
The health status value w on roadi(i≤m), the influence factor reservation threshold niIt is to be set in advance in the health risk assessment model
Fixed threshold values corresponding with m influence factor;
According to influence factor reservation threshold niWith health status value wi, the health degree value h of each equipment or circuit is calculatedj;
Pass through health degree value hjWith each equipment or circuit proportion P set in the health risk assessment modelj, calculate
Obtain the operation health degree value H of piece electrical equipment;
By by healthy bottom valve scheduled in the operation health degree value H of the global switch cabinet and the health risk assessment model
Value is compared, and obtains the operation Health Category of switchgear.
10. a kind of computer-readable storage media, which is characterized in that be stored with several obtain on the computer readable storage medium
Sort program is taken, several acquisition sort programs by processor for being called and executing following steps:
The health risk assessment model of switchgear operation is established, and detection configuration is carried out to the health risk assessment model;
According to the detection configuration in the health risk assessment model, to m influence factor of equipment each in switchgear or circuit
It is detected, obtains m influence factor detection data, wherein m is greater than the integer equal to 1;
By the m influence factor detection data and influence factor reservation threshold ni(i≤m) is compared, and obtains each equipment or electricity
The health status value w on roadi(i≤m), the influence factor reservation threshold niIt is to be set in advance in the health risk assessment model
Fixed threshold values corresponding with m influence factor;
According to influence factor reservation threshold niWith health status value wi, the health degree value h of each equipment or circuit is calculatedj;
Pass through health degree value hjWith each equipment or circuit proportion P set in the health risk assessment modelj, calculate
Obtain the operation health degree value H of global switch cabinet;
By by healthy bottom valve scheduled in the operation health degree value H of the global switch cabinet and the health risk assessment model
Value is compared, and obtains the operation Health Category of switchgear.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910425126.6A CN110082623A (en) | 2019-05-21 | 2019-05-21 | A kind of switchgear health status evaluation method and system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910425126.6A CN110082623A (en) | 2019-05-21 | 2019-05-21 | A kind of switchgear health status evaluation method and system |
Publications (1)
Publication Number | Publication Date |
---|---|
CN110082623A true CN110082623A (en) | 2019-08-02 |
Family
ID=67421202
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910425126.6A Pending CN110082623A (en) | 2019-05-21 | 2019-05-21 | A kind of switchgear health status evaluation method and system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110082623A (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112762990A (en) * | 2020-12-29 | 2021-05-07 | 陕西新泓水艺环境科技有限公司 | Prediction method and prediction system for equipment health degree |
CN113916391A (en) * | 2021-08-25 | 2022-01-11 | 浙江华云电力工程设计咨询有限公司 | Method for evaluating measurement effectiveness of multi-lead temperature sensor of switch cabinet |
Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20160253464A1 (en) * | 2013-09-08 | 2016-09-01 | Theranos, Inc. | Appointment scheduling and check in |
CN105975735A (en) * | 2016-07-19 | 2016-09-28 | 广西电网有限责任公司电力科学研究院 | Modeling method for assessing health state of power equipment |
CN106503884A (en) * | 2016-09-28 | 2017-03-15 | 广西电网有限责任公司电力科学研究院 | A kind of method that health state evaluation is carried out to switch cubicle |
CN107016235A (en) * | 2017-03-21 | 2017-08-04 | 西安交通大学 | The equipment running status health degree appraisal procedure adaptively merged based on multiple features |
CN107358338A (en) * | 2017-06-09 | 2017-11-17 | 国网冀北电力有限公司 | A kind of multi-service and the D5000 system healths degree layering evaluation of priorities method of hardware fusion |
CN107394785A (en) * | 2017-07-03 | 2017-11-24 | 中国南方电网有限责任公司电网技术研究中心 | The method and device of power distribution network vulnerability assessment |
CN107450986A (en) * | 2017-07-27 | 2017-12-08 | 上海介方信息技术有限公司 | A kind of resource regulating method based on software communications architecture |
CN107576920A (en) * | 2017-08-02 | 2018-01-12 | 北京空间飞行器总体设计部 | A kind of satellite power supply health degree computational methods based on fuzzy multi-attribute evaluation |
CN109255524A (en) * | 2018-08-16 | 2019-01-22 | 广西电网有限责任公司电力科学研究院 | A kind of measuring equipment data analyzing evaluation method and system |
CN109447531A (en) * | 2018-12-25 | 2019-03-08 | 国网福建省电力有限公司 | A kind of intelligent electric meter method for evaluating state based on the evaluation of neural network health degree |
CN109522175A (en) * | 2017-09-18 | 2019-03-26 | 华为技术有限公司 | A kind of method and device of memory assessment |
CN109754146A (en) * | 2018-08-23 | 2019-05-14 | 国网天津市电力公司电力科学研究院 | It is a kind of based on the intelligent electric energy meter health degree comprehensive estimation method for being relation analysis |
-
2019
- 2019-05-21 CN CN201910425126.6A patent/CN110082623A/en active Pending
Patent Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20160253464A1 (en) * | 2013-09-08 | 2016-09-01 | Theranos, Inc. | Appointment scheduling and check in |
CN105975735A (en) * | 2016-07-19 | 2016-09-28 | 广西电网有限责任公司电力科学研究院 | Modeling method for assessing health state of power equipment |
CN106503884A (en) * | 2016-09-28 | 2017-03-15 | 广西电网有限责任公司电力科学研究院 | A kind of method that health state evaluation is carried out to switch cubicle |
CN107016235A (en) * | 2017-03-21 | 2017-08-04 | 西安交通大学 | The equipment running status health degree appraisal procedure adaptively merged based on multiple features |
CN107358338A (en) * | 2017-06-09 | 2017-11-17 | 国网冀北电力有限公司 | A kind of multi-service and the D5000 system healths degree layering evaluation of priorities method of hardware fusion |
CN107394785A (en) * | 2017-07-03 | 2017-11-24 | 中国南方电网有限责任公司电网技术研究中心 | The method and device of power distribution network vulnerability assessment |
CN107450986A (en) * | 2017-07-27 | 2017-12-08 | 上海介方信息技术有限公司 | A kind of resource regulating method based on software communications architecture |
CN107576920A (en) * | 2017-08-02 | 2018-01-12 | 北京空间飞行器总体设计部 | A kind of satellite power supply health degree computational methods based on fuzzy multi-attribute evaluation |
CN109522175A (en) * | 2017-09-18 | 2019-03-26 | 华为技术有限公司 | A kind of method and device of memory assessment |
CN109255524A (en) * | 2018-08-16 | 2019-01-22 | 广西电网有限责任公司电力科学研究院 | A kind of measuring equipment data analyzing evaluation method and system |
CN109754146A (en) * | 2018-08-23 | 2019-05-14 | 国网天津市电力公司电力科学研究院 | It is a kind of based on the intelligent electric energy meter health degree comprehensive estimation method for being relation analysis |
CN109447531A (en) * | 2018-12-25 | 2019-03-08 | 国网福建省电力有限公司 | A kind of intelligent electric meter method for evaluating state based on the evaluation of neural network health degree |
Non-Patent Citations (1)
Title |
---|
彭炎亮 等: "基于动态权重和模糊综合评判法的健康评估模型", 《计算机***应用》 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112762990A (en) * | 2020-12-29 | 2021-05-07 | 陕西新泓水艺环境科技有限公司 | Prediction method and prediction system for equipment health degree |
CN113916391A (en) * | 2021-08-25 | 2022-01-11 | 浙江华云电力工程设计咨询有限公司 | Method for evaluating measurement effectiveness of multi-lead temperature sensor of switch cabinet |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN103647276B (en) | A kind of quality of power supply early warning system and method thereof | |
Ghosh et al. | An improved load feature extraction technique for smart homes using fuzzy-based NILM | |
CN107025365A (en) | A kind of non-intruding load discrimination method for user side | |
Yu et al. | Nonintrusive appliance load monitoring for smart homes: Recent advances and future issues | |
CN108508320A (en) | Arc grounding fault identification method based on harmonic energy and wave distortion feature | |
CN109724646A (en) | A kind of power distribution network switchgear cable connector monitoring method, server and system | |
CN110070282A (en) | A kind of low-voltage platform area line loss analysis of Influential Factors method based on Synthesis Relational Grade | |
CN105514984B (en) | A kind of non-intrusion type load decomposition device of plug and play | |
CN104578411B (en) | A kind of PMU data accesses the multi-source data safety check after AGC and failure locking method | |
CN106980044B (en) | A kind of Harmonious Waves in Power Systems current estimation method adapting to wind power integration | |
CN104392056A (en) | Direct-driven wind turbine generator modeling method and device | |
CN107796972B (en) | Granary energy consumption monitoring method based on non-invasive load decomposition technology | |
CN110082623A (en) | A kind of switchgear health status evaluation method and system | |
Luan et al. | Energy theft detection via integrated distribution state estimation based on AMI and SCADA measurements | |
CN106230378A (en) | A kind of diagnostic method of photovoltaic plant group string fault | |
CN103475003A (en) | Automatic regional power grid voltage reactive power control method based on regional strategy optimization | |
CN102255319A (en) | Electrical network voltage wattless real time control assessment method based on section data extraction and system thereof | |
CN103018611B (en) | Non-invasive load monitoring method and system based on current decomposition | |
CN107732906B (en) | Cutter cutting control method for dynamically tracking transient power angle weak stability mode | |
CN109164315A (en) | The Reactor Fault diagnostic method of KFCM and SVM based on particle group optimizing | |
CN105701265B (en) | A kind of double-fed fan motor unit modeling method and device | |
Gopinath et al. | A PCA‐NPOGBDT strategy‐based protection scheme to differentiate between inverter and distribution line faults plus detection and identification of faulty section in microgrid | |
CN109901022A (en) | Power distribution network area positioning method based on synchronous measure data | |
Zhang et al. | Risk assessment for substation operation based on triangular fuzzy number AHP and cloud model | |
CN114156865B (en) | Low-voltage distribution network topology generation and fault prediction method considering state perception |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190802 |
|
RJ01 | Rejection of invention patent application after publication |