CN105868842A - Intelligent substation capable of predicting service life of its own in real time - Google Patents

Intelligent substation capable of predicting service life of its own in real time Download PDF

Info

Publication number
CN105868842A
CN105868842A CN201610166017.3A CN201610166017A CN105868842A CN 105868842 A CN105868842 A CN 105868842A CN 201610166017 A CN201610166017 A CN 201610166017A CN 105868842 A CN105868842 A CN 105868842A
Authority
CN
China
Prior art keywords
transformer substation
substation body
displacement
monitoring
time
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
Application number
CN201610166017.3A
Other languages
Chinese (zh)
Inventor
韦醒妃
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
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 Individual filed Critical Individual
Priority to CN201610166017.3A priority Critical patent/CN105868842A/en
Publication of CN105868842A publication Critical patent/CN105868842A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Economics (AREA)
  • Human Resources & Organizations (AREA)
  • Strategic Management (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Marketing (AREA)
  • General Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Tourism & Hospitality (AREA)
  • Quality & Reliability (AREA)
  • Game Theory and Decision Science (AREA)
  • Operations Research (AREA)
  • Development Economics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Public Health (AREA)
  • Water Supply & Treatment (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Testing Or Calibration Of Command Recording Devices (AREA)

Abstract

The present invention discloses an intelligent substation capable of predicting a service life of its own in real time. The intelligent substation comprises a substation main body and an intelligent monitoring system disposed on the substation main body. The system comprises a monitoring module, a data processing module, a secure state assessment module, a warning and alarm module, and a simulation display module. The monitoring module comprises a wireless sensor network, a strain sensor assembly, and a displacement sensor; the data processing module comprises a collection center station, a signal conditioner, and a signal transmission apparatus; the secure state assessment module comprises a microprocessor; the warning and alarm module comprises an analysis processor and an alarm; and the simulation display module comprises a three-dimensional GIS simulation platform. The intelligent substation disclosed by the present invention implements real-time monitoring on the health of the substation main body, and is capable of predicting the remaining service life of the substation accurately and intelligently according to the monitoring data.

Description

A kind of can the intelligent substation of real-time estimate its shelf-life
Technical field
The present invention relates to Substation Design field, be specifically related to a kind of can the intelligent substation of real-time estimate its shelf-life.
Background technology
Transformer station's great majority in correlation technique cannot be according to himself residual life of the data prediction of Sensor monitoring.This lacks Falling into causes transformer station attendant to need the correlation experience by oneself to judge the data that sensor is fed back, and reduces transformer station The promptness of monitoring, also considerably increases the workload of transformer station attendant simultaneously.
Summary of the invention
For the problems referred to above, the present invention provide a kind of can the intelligent substation of real-time estimate its shelf-life.
The purpose of the present invention realizes by the following technical solutions:
A kind of can the intelligent substation of real-time estimate its shelf-life, including transformer substation body and the intelligence prison that is arranged on transformer substation body Examining system, described intelligent monitor system includes:
(1) monitoring modular, including the wireless sensor network that transformer substation body health is monitored, for monitoring substation originally The strain sensor assemblies of each dangerous position of body and displacement transducer, transformer substation body is good for by described wireless sensor network all standing Health structure is monitored, and meanwhile, network uses advanced physical message emerging system, real-time to transformer substation body health structure Perception;Institute's displacement sensors is for monitoring the working base point of dangerous position change in displacement and being used for checking working base point stability Overall datum mark based on carry out three dimensions displacement monitoring, each dangerous position of described transformer substation body, working base point and complete Office's datum mark determines by transformer substation body is carried out FEM Simulation;Described strain sensor assemblies include performance parameters and Completely identical in structure work strain transducer and temperature-compensating strain transducer, described work strain transducer and temperature It is arranged on each dangerous position of transformer substation body after the series connection of compensation strain transducer;
(2) data processing module, it includes that the data gathering central station, collecting collection central station carry out nursing one's health processing and amplifying Signal conditioner and the signal transmitting apparatus that transmits of data that signal conditioner is processed;
(3) security state evaluation module, described security state evaluation module includes the microprocessor connecting signal transmitting apparatus, institute State the average displacement that the displacement data transmitted by signal transmitting apparatus is carried out being calculated between two time phase t by microprocessor Difference, the most first to compensate displacement difference owing to transformer substation body exists phenomenon of expanding with heat and contract with cold, then by average displacement difference and rule Location is moved difference limen value and is compared, it is judged that described average displacement difference is the most in a safe condition, and according to strain sensor assemblies 24h Monitoring Data calculate, obtain stress amplitude spectrum, according to stress amplitude spectrum calculate transformer substation body remanent fatigue life, and will Described remanent fatigue life compares with structure projected life, it is judged that described remanent fatigue life is the most in a safe condition;
A, average displacement w(i)Computing formula be:
Wherein, taking 0.5h is sampling time interval, max&min(i+t)For the maximum in the displacement data of previous time phase and Minimum sum, max&min(i+2t)For the maximum in the displacement data in latter time stage and minimum sum;
B, setting the coefficient of expansion as α, revised average displacement is:
Δs ′ = Δ s - α 1 a 1 + α 2 a 2 + ... + α n a n n ( T - T 0 )
Wherein, α1, α2..., αnFor the material temperature coefficient of expansion of each dangerous position, a1, a2..., anFor coefficient, T For mean temperature in seclected time section, T0For transformer substation body location year-round average temperature.
C, the judgment formula of described life-span security evaluation be:
Work as σx(i)≥σbTime,
A = 1 365 · Σ i n [ p i 10 7 · ( σ x ( i ) σ b ) k ] - T B
Work as σx(i)<σbTime,
A = 1 365 &CenterDot; &Sigma; i n &lsqb; p i 10 7 &CenterDot; ( &sigma; x ( i ) &sigma; b ) k + 2 &rsqb; - T B
Wherein, σbFor the structural fatigue limit, σxFor the hot spot stress range of each monitoring point, k is that the slope of fatigue curve is reciprocal, pi For the Cyclic Stress coefficient of the actual experience of structure under hot spot stress range, TBFatigue life is designed for structure, in actual applications, Can be affected by transformer substation body overload, be therefore dynamically change, and along with the change of overload use natural law be one nonlinear Process,TAFatigue life, d is designed for initiating structurezRepresent and become Power station body overall design uses natural law, dgRepresent that transformer substation body overload uses natural law;When A is more than 0, it is determined that at structural life-time In safe condition, when A is less than or equal to 0, output alarm signal;
(4) early warning and alarming module, it includes for preventing the analysis processor of false alarm, alarm and information database of record, The input of described analysis processor connects described microprocessor, and the outfan of analysis processor connects described alarm;
(5) emulation display module, including the three-dimension GIS emulation platform being connected with microprocessor, described three-dimension GIS emulation platform The assessment result of security state evaluation module is carried out emulation display, the health status of imitating substation body, and simulation process is:
D, utilize finite element software to carry out after the modeling of transformer substation body to import GIS platform, build transformer substation body tripe systems respectively The model of part, adjusts the locus of each transformer substation body component in GIS platform;
E, by different shape the symbols each dangerous position of analog information transformer substation body, strain sensor assemblies in GIS platform And displacement transducer;
The color that the dangerous position being not at safe condition is specified by f, result according to safe condition module estimation is in GIS platform Interface on show.
The invention have the benefit that and connected by the structure of modules, it is achieved the full-automatic prison of the dynamical health of transformer station Survey, it is simple to personnel pinpoint the problems early, solution problem;Propose and carry out transformer substation body health structure with wireless sensor network Monitoring, covers wide, real-time;Propose fatigue life safety judgment formula, decrease the workload of calculating, improve prison The work efficiency of examining system;Propose the computing formula of average displacement, and average displacement is corrected, use average bit Move and compare judgement with displacement threshold value, decrease the workload of calculating;Pair of strain sensors carries out temperature-compensating, and improve should The certainty of measurement become, and then improve the overall measurement accuracy of system;Utilize the health of GIS emulation platform imitating substation body Situation, has the good effect carrying out interface alternation with user.
Accompanying drawing explanation
The invention will be further described to utilize accompanying drawing, but the embodiment in accompanying drawing does not constitute any limitation of the invention, for Those of ordinary skill in the art, on the premise of not paying creative work, it is also possible to obtains the attached of other according to the following drawings Figure.
Fig. 1 is the structured flowchart of the present invention.
Detailed description of the invention
The invention will be further described with the following Examples.
Embodiment 1: as shown in Figure 1 a kind of can the intelligent substation of real-time estimate its shelf-life, it include transformer substation body and Being arranged on the intelligent monitor system of transformer substation body, described intelligent monitor system includes:
(1) monitoring modular, including the wireless sensor network that transformer substation body health is monitored, for monitoring substation originally The strain sensor assemblies of each dangerous position of body and displacement transducer, transformer substation body is good for by described wireless sensor network all standing Health structure is monitored, and meanwhile, network uses advanced physical message emerging system, real-time to transformer substation body health structure Perception;Institute's displacement sensors is for monitoring the working base point of dangerous position change in displacement and being used for checking working base point stability Overall datum mark based on carry out three dimensions displacement monitoring, each dangerous position of described transformer substation body, working base point and complete Office's datum mark determines by transformer substation body is carried out FEM Simulation;Described strain sensor assemblies include performance parameters and Completely identical in structure work strain transducer and temperature-compensating strain transducer, described work strain transducer and temperature It is arranged on each dangerous position of transformer substation body after the series connection of compensation strain transducer;
(2) data processing module, it includes that the data gathering central station, collecting collection central station carry out nursing one's health processing and amplifying Signal conditioner and the signal transmitting apparatus that transmits of data that signal conditioner is processed;
(3) security state evaluation module;
(4) early warning and alarming module, it includes for preventing the analysis processor of false alarm, alarm and information database of record, The input of described analysis processor connects described microprocessor, and the outfan of analysis processor connects described alarm;
(5) emulation display module, including the three-dimension GIS emulation platform being connected with microprocessor, described three-dimension GIS emulation platform The assessment result of security state evaluation module is carried out emulation display, the health status of imitating substation body, and simulation process is:
A, utilize finite element software to carry out after the modeling of transformer substation body to import GIS platform, build transformer substation body tripe systems respectively The model of part, adjusts the locus of each transformer substation body component in GIS platform;
B, by different shape the symbols each dangerous position of analog information transformer substation body, strain sensor assemblies in GIS platform And displacement transducer;
The color that the dangerous position being not at safe condition is specified by c, result according to safe condition module estimation is in GIS platform Interface on show.
Described security state evaluation module includes the microprocessor connecting signal transmitting apparatus, and described microprocessor will be transmitted by signal The average displacement that the displacement data that device transmits carries out being calculated between two time phase t is poor, owing to transformer substation body exists Displacement difference the most first to be compensated by phenomenon of expanding with heat and contract with cold, and then average displacement difference is compared with regulation displacement difference limen value, Judge that described average displacement difference is the most in a safe condition, and calculate according to the Monitoring Data of strain sensor assemblies 24h, Obtain stress amplitude spectrum, calculate the remanent fatigue life of transformer substation body according to stress amplitude spectrum, and by described remanent fatigue life and knot Structure compares projected life, it is judged that described remanent fatigue life is the most in a safe condition;
A, average displacement w(i)Computing formula be:
Wherein, taking 0.5h is sampling time interval, max&min(i+t)For the maximum in the displacement data of previous time phase and Minimum sum, max&min(i+2t)For the maximum in the displacement data in latter time stage and minimum sum;
B, setting the coefficient of expansion as α, revised average displacement is:
&Delta;s &prime; = &Delta; s - &alpha; 1 a 1 + &alpha; 2 a 2 + ... + &alpha; n a n n ( T - T 0 )
Wherein, α1, α2..., αnFor the material temperature coefficient of expansion of each dangerous position, a1, a2..., anFor coefficient, T For mean temperature in seclected time section, T0For transformer substation body location year-round average temperature.
C, the judgment formula of described life-span security evaluation be:
Work as σx(i)≥σbTime,
A = 1 365 &CenterDot; &Sigma; i n &lsqb; p i 10 7 &CenterDot; ( &sigma; x ( i ) &sigma; b ) k &rsqb; - T B
Work as σx(i)<σbTime,
A = 1 365 &CenterDot; &Sigma; i n &lsqb; p i 10 7 &CenterDot; ( &sigma; x ( i ) &sigma; b ) k + 2 &rsqb; - T B
Wherein, σbFor the structural fatigue limit, σxFor the hot spot stress range of each monitoring point, k is that the slope of fatigue curve is reciprocal, pi For the Cyclic Stress coefficient of the actual experience of structure under hot spot stress range, TBFatigue life is designed for structure, in actual applications, Can be affected by transformer substation body overload, be therefore dynamically change, and along with the change of overload use natural law be one nonlinear Process,TAFatigue life, d is designed for initiating structurezRepresent and become Power station body overall design uses natural law, dgRepresent that transformer substation body overload uses natural law;When A is more than 0, it is determined that at structural life-time In safe condition, when A is less than or equal to 0, output alarm signal.
In this embodiment, connected by the structure of modules, it is achieved that the full-automatic monitoring of the dynamical health of transformer station, Be easy to personnel pinpoint the problems early, solution problem;Propose and carry out transformer substation body health structure monitoring with wireless sensor network, Cover wide, real-time;Propose fatigue life safety judgment formula, decrease the workload of calculating, improve monitoring system Work efficiency;Propose the computing formula of average displacement, and average displacement is corrected, use average displacement and position Move threshold value and compare judgement, decrease the workload of calculating;Pair of strain sensors carries out temperature-compensating, improves the survey of strain Accuracy of measurement, and then improve the overall measurement accuracy of system;Utilize the health status of GIS emulation platform imitating substation body, There is the good effect carrying out interface alternation with user;Time phase t=24h, it is achieved that transformer substation body dynamical health complete Automatic monitoring, the overall measurement accuracy of system improves 15%.
Embodiment 2: as shown in Figure 1 a kind of can the intelligent substation of real-time estimate its shelf-life, it include transformer substation body and Being arranged on the intelligent monitor system of transformer substation body, described intelligent monitor system includes:
(1) monitoring modular, including the wireless sensor network that transformer substation body health is monitored, for monitoring substation originally The strain sensor assemblies of each dangerous position of body and displacement transducer, transformer substation body is good for by described wireless sensor network all standing Health structure is monitored, and meanwhile, network uses advanced physical message emerging system, real-time to transformer substation body health structure Perception;Institute's displacement sensors is for monitoring the working base point of dangerous position change in displacement and being used for checking working base point stability Overall datum mark based on carry out three dimensions displacement monitoring, each dangerous position of described transformer substation body, working base point and complete Office's datum mark determines by transformer substation body is carried out FEM Simulation;Described strain sensor assemblies include performance parameters and Completely identical in structure work strain transducer and temperature-compensating strain transducer, described work strain transducer and temperature It is arranged on each dangerous position of transformer substation body after the series connection of compensation strain transducer;
(2) data processing module, it includes that the data gathering central station, collecting collection central station carry out nursing one's health processing and amplifying Signal conditioner and the signal transmitting apparatus that transmits of data that signal conditioner is processed;
(3) security state evaluation module;
(4) early warning and alarming module, it includes for preventing the analysis processor of false alarm, alarm and information database of record, The input of described analysis processor connects described microprocessor, and the outfan of analysis processor connects described alarm;
(5) emulation display module, including the three-dimension GIS emulation platform being connected with microprocessor, described three-dimension GIS emulation platform The assessment result of security state evaluation module is carried out emulation display, the health status of imitating substation body, and simulation process is:
A, utilize finite element software to carry out after the modeling of transformer substation body to import GIS platform, build transformer substation body tripe systems respectively The model of part, adjusts the locus of each transformer substation body component in GIS platform;
B, by different shape the symbols each dangerous position of analog information transformer substation body, strain sensor assemblies in GIS platform And displacement transducer;
The color that the dangerous position being not at safe condition is specified by c, result according to safe condition module estimation is in GIS platform Interface on show.
Described security state evaluation module includes the microprocessor connecting signal transmitting apparatus, and described microprocessor will be transmitted by signal The average displacement that the displacement data that device transmits carries out being calculated between two time phase t is poor, owing to transformer substation body exists Displacement difference the most first to be compensated by phenomenon of expanding with heat and contract with cold, and then average displacement difference is compared with regulation displacement difference limen value, Judge that described average displacement difference is the most in a safe condition, and calculate according to the Monitoring Data of strain sensor assemblies 24h, Obtain stress amplitude spectrum, calculate the remanent fatigue life of transformer substation body according to stress amplitude spectrum, and by described remanent fatigue life and knot Structure compares projected life, it is judged that described remanent fatigue life is the most in a safe condition;
A, average displacement w(i)Computing formula be:
Wherein, taking 0.5h is sampling time interval, max&min(i+t)For the maximum in the displacement data of previous time phase and Minimum sum, max&min(i+2t)For the maximum in the displacement data in latter time stage and minimum sum;
B, setting the coefficient of expansion as α, revised average displacement is:
&Delta;s &prime; = &Delta; s - &alpha; 1 a 1 + &alpha; 2 a 2 + ... + &alpha; n a n n ( T - T 0 )
Wherein, α1, α2..., αnFor the material temperature coefficient of expansion of each dangerous position, a1, a2..., anFor coefficient, T For mean temperature in seclected time section, T0For transformer substation body location year-round average temperature.
C, the judgment formula of described life-span security evaluation be:
Work as σx(i)≥σbTime,
A = 1 365 &CenterDot; &Sigma; i n &lsqb; p i 10 7 &CenterDot; ( &sigma; x ( i ) &sigma; b ) k &rsqb; - T B
Work as σx(i)<σbTime,
A = 1 365 &CenterDot; &Sigma; i n &lsqb; p i 10 7 &CenterDot; ( &sigma; x ( i ) &sigma; b ) k + 2 &rsqb; - T B
Wherein, σbFor the structural fatigue limit, σxFor the hot spot stress range of each monitoring point, k is that the slope of fatigue curve is reciprocal, pi For the Cyclic Stress coefficient of the actual experience of structure under hot spot stress range, TBFatigue life is designed for structure, in actual applications, Can be affected by transformer substation body overload, be therefore dynamically change, and along with the change of overload use natural law be one nonlinear Process,TAFatigue life, d is designed for initiating structurezRepresent and become Power station body overall design uses natural law, dgRepresent that transformer substation body overload uses natural law;When A is more than 0, it is determined that at structural life-time In safe condition, when A is less than or equal to 0, output alarm signal.
In this embodiment, connected by the structure of modules, it is achieved that the full-automatic monitoring of the dynamical health of transformer station, Be easy to personnel pinpoint the problems early, solution problem;Propose and carry out transformer substation body health structure monitoring with wireless sensor network, Cover wide, real-time;Propose fatigue life safety judgment formula, decrease the workload of calculating, improve monitoring system Work efficiency;Propose the computing formula of average displacement, and average displacement is corrected, use average displacement and position Move threshold value and compare judgement, decrease the workload of calculating;Pair of strain sensors carries out temperature-compensating, improves the survey of strain Accuracy of measurement, and then improve the overall measurement accuracy of system;Utilize the health status of GIS emulation platform imitating substation body, There is the good effect carrying out interface alternation with user;Time phase t=28h, it is achieved that transformer substation body dynamical health complete Automatic monitoring, the overall measurement accuracy of system improves 17%.
Embodiment 3: as shown in Figure 1 a kind of can the intelligent substation of real-time estimate its shelf-life, it include transformer substation body and Being arranged on the intelligent monitor system of transformer substation body, described intelligent monitor system includes:
(1) monitoring modular, including the wireless sensor network that transformer substation body health is monitored, for monitoring substation originally The strain sensor assemblies of each dangerous position of body and displacement transducer, transformer substation body is good for by described wireless sensor network all standing Health structure is monitored, and meanwhile, network uses advanced physical message emerging system, real-time to transformer substation body health structure Perception;Institute's displacement sensors is for monitoring the working base point of dangerous position change in displacement and being used for checking working base point stability Overall datum mark based on carry out three dimensions displacement monitoring, each dangerous position of described transformer substation body, working base point and complete Office's datum mark determines by transformer substation body is carried out FEM Simulation;Described strain sensor assemblies include performance parameters and Completely identical in structure work strain transducer and temperature-compensating strain transducer, described work strain transducer and temperature It is arranged on each dangerous position of transformer substation body after the series connection of compensation strain transducer;
(2) data processing module, it includes that the data gathering central station, collecting collection central station carry out nursing one's health processing and amplifying Signal conditioner and the signal transmitting apparatus that transmits of data that signal conditioner is processed;
(3) security state evaluation module;
(4) early warning and alarming module, it includes for preventing the analysis processor of false alarm, alarm and information database of record, The input of described analysis processor connects described microprocessor, and the outfan of analysis processor connects described alarm;
(5) emulation display module, including the three-dimension GIS emulation platform being connected with microprocessor, described three-dimension GIS emulation platform The assessment result of security state evaluation module is carried out emulation display, the health status of imitating substation body, and simulation process is:
A, utilize finite element software to carry out after the modeling of transformer substation body to import GIS platform, build transformer substation body tripe systems respectively The model of part, adjusts the locus of each transformer substation body component in GIS platform;
B, by different shape the symbols each dangerous position of analog information transformer substation body, strain sensor assemblies in GIS platform And displacement transducer;
The color that the dangerous position being not at safe condition is specified by c, result according to safe condition module estimation is in GIS platform Interface on show.
Described security state evaluation module includes the microprocessor connecting signal transmitting apparatus, and described microprocessor will be transmitted by signal The average displacement that the displacement data that device transmits carries out being calculated between two time phase t is poor, owing to transformer substation body exists Displacement difference the most first to be compensated by phenomenon of expanding with heat and contract with cold, and then average displacement difference is compared with regulation displacement difference limen value, Judge that described average displacement difference is the most in a safe condition, and calculate according to the Monitoring Data of strain sensor assemblies 24h, Obtain stress amplitude spectrum, calculate the remanent fatigue life of transformer substation body according to stress amplitude spectrum, and by described remanent fatigue life and knot Structure compares projected life, it is judged that described remanent fatigue life is the most in a safe condition;
A, average displacement w(i)Computing formula be:
Wherein, taking 0.5h is sampling time interval, max&min(i+t)For the maximum in the displacement data of previous time phase and Minimum sum, max&min(i+2t)For the maximum in the displacement data in latter time stage and minimum sum;
B, setting the coefficient of expansion as α, revised average displacement is:
&Delta;s &prime; = &Delta; s - &alpha; 1 a 1 + &alpha; 2 a 2 + ... + &alpha; n a n n ( T - T 0 )
Wherein, α1, α2..., αnFor the material temperature coefficient of expansion of each dangerous position, a1, a2..., anFor coefficient, T For mean temperature in seclected time section, T0For transformer substation body location year-round average temperature.
C, the judgment formula of described life-span security evaluation be:
Work as σx(i)≥σbTime,
A = 1 365 &CenterDot; &Sigma; i n &lsqb; p i 10 7 &CenterDot; ( &sigma; x ( i ) &sigma; b ) k &rsqb; - T B
Work as σx(i)<σbTime,
A = 1 365 &CenterDot; &Sigma; i n &lsqb; p i 10 7 &CenterDot; ( &sigma; x ( i ) &sigma; b ) k + 2 &rsqb; - T B
Wherein, σbFor the structural fatigue limit, σxFor the hot spot stress range of each monitoring point, k is that the slope of fatigue curve is reciprocal, pi For the Cyclic Stress coefficient of the actual experience of structure under hot spot stress range, TBFatigue life is designed for structure, in actual applications, Can be affected by transformer substation body overload, be therefore dynamically change, and along with the change of overload use natural law be one nonlinear Process,TAFatigue life, d is designed for initiating structurezRepresent and become Power station body overall design uses natural law, dgRepresent that transformer substation body overload uses natural law;When A is more than 0, it is determined that at structural life-time In safe condition, when A is less than or equal to 0, output alarm signal.
In this embodiment, connected by the structure of modules, it is achieved that the full-automatic monitoring of the dynamical health of transformer station, Be easy to personnel pinpoint the problems early, solution problem;Propose and carry out transformer substation body health structure monitoring with wireless sensor network, Cover wide, real-time;Propose fatigue life safety judgment formula, decrease the workload of calculating, improve monitoring system Work efficiency;Propose the computing formula of average displacement, and average displacement is corrected, use average displacement and position Move threshold value and compare judgement, decrease the workload of calculating;Pair of strain sensors carries out temperature-compensating, improves the survey of strain Accuracy of measurement, and then improve the overall measurement accuracy of system;Utilize the health status of GIS emulation platform imitating substation body, There is the good effect carrying out interface alternation with user;Time phase t=32h, it is achieved that transformer substation body dynamical health complete Automatic monitoring, the overall measurement accuracy of system improves 18%.
Embodiment 4: as shown in Figure 1 a kind of can the intelligent substation of real-time estimate its shelf-life, it include transformer substation body and Being arranged on the intelligent monitor system of transformer substation body, described intelligent monitor system includes:
(1) monitoring modular, including the wireless sensor network that transformer substation body health is monitored, for monitoring substation originally The strain sensor assemblies of each dangerous position of body and displacement transducer, transformer substation body is good for by described wireless sensor network all standing Health structure is monitored, and meanwhile, network uses advanced physical message emerging system, real-time to transformer substation body health structure Perception;Institute's displacement sensors is for monitoring the working base point of dangerous position change in displacement and being used for checking working base point stability Overall datum mark based on carry out three dimensions displacement monitoring, each dangerous position of described transformer substation body, working base point and complete Office's datum mark determines by transformer substation body is carried out FEM Simulation;Described strain sensor assemblies include performance parameters and Completely identical in structure work strain transducer and temperature-compensating strain transducer, described work strain transducer and temperature It is arranged on each dangerous position of transformer substation body after the series connection of compensation strain transducer;
(2) data processing module, it includes that the data gathering central station, collecting collection central station carry out nursing one's health processing and amplifying Signal conditioner and the signal transmitting apparatus that transmits of data that signal conditioner is processed;
(3) security state evaluation module;
(4) early warning and alarming module, it includes for preventing the analysis processor of false alarm, alarm and information database of record, The input of described analysis processor connects described microprocessor, and the outfan of analysis processor connects described alarm;
(5) emulation display module, including the three-dimension GIS emulation platform being connected with microprocessor, described three-dimension GIS emulation platform The assessment result of security state evaluation module is carried out emulation display, the health status of imitating substation body, and simulation process is:
A, utilize finite element software to carry out after the modeling of transformer substation body to import GIS platform, build transformer substation body tripe systems respectively The model of part, adjusts the locus of each transformer substation body component in GIS platform;
B, by different shape the symbols each dangerous position of analog information transformer substation body, strain sensor assemblies in GIS platform And displacement transducer;
The color that the dangerous position being not at safe condition is specified by c, result according to safe condition module estimation is in GIS platform Interface on show.
Described security state evaluation module includes the microprocessor connecting signal transmitting apparatus, and described microprocessor will be transmitted by signal The average displacement that the displacement data that device transmits carries out being calculated between two time phase t is poor, owing to transformer substation body exists Displacement difference the most first to be compensated by phenomenon of expanding with heat and contract with cold, and then average displacement difference is compared with regulation displacement difference limen value, Judge that described average displacement difference is the most in a safe condition, and calculate according to the Monitoring Data of strain sensor assemblies 24h, Obtain stress amplitude spectrum, calculate the remanent fatigue life of transformer substation body according to stress amplitude spectrum, and by described remanent fatigue life and knot Structure compares projected life, it is judged that described remanent fatigue life is the most in a safe condition;
A, average displacement w(i)Computing formula be:
Wherein, taking 0.5h is sampling time interval, max&min(i+t)For the maximum in the displacement data of previous time phase and Minimum sum, max&min(i+2t)For the maximum in the displacement data in latter time stage and minimum sum;
B, setting the coefficient of expansion as α, revised average displacement is:
&Delta;s &prime; = &Delta; s - &alpha; 1 a 1 + &alpha; 2 a 2 + ... + &alpha; n a n n ( T - T 0 )
Wherein, α1, α2..., αnFor the material temperature coefficient of expansion of each dangerous position, a1, a2..., anFor coefficient, T For mean temperature in seclected time section, T0For transformer substation body location year-round average temperature.
C, the judgment formula of described life-span security evaluation be:
Work as σx(i)≥σbTime,
A = 1 365 &CenterDot; &Sigma; i n &lsqb; p i 10 7 &CenterDot; ( &sigma; x ( i ) &sigma; b ) k &rsqb; - T B
Work as σx(i)<σbTime,
A = 1 365 &CenterDot; &Sigma; i n &lsqb; p i 10 7 &CenterDot; ( &sigma; x ( i ) &sigma; b ) k + 2 &rsqb; - T B
Wherein, σbFor the structural fatigue limit, σxFor the hot spot stress range of each monitoring point, k is that the slope of fatigue curve is reciprocal, pi For the Cyclic Stress coefficient of the actual experience of structure under hot spot stress range, TBFatigue life is designed for structure, in actual applications, Can be affected by transformer substation body overload, be therefore dynamically change, and along with the change of overload use natural law be one nonlinear Process,TAFatigue life, d is designed for initiating structurezRepresent and become Power station body overall design uses natural law, dgRepresent that transformer substation body overload uses natural law;When A is more than 0, it is determined that at structural life-time In safe condition, when A is less than or equal to 0, output alarm signal.
In this embodiment, connected by the structure of modules, it is achieved that the full-automatic monitoring of the dynamical health of transformer station, Be easy to personnel pinpoint the problems early, solution problem;Propose and carry out transformer substation body health structure monitoring with wireless sensor network, Cover wide, real-time;Propose fatigue life safety judgment formula, decrease the workload of calculating, improve monitoring system Work efficiency;Propose the computing formula of average displacement, and average displacement is corrected, use average displacement and position Move threshold value and compare judgement, decrease the workload of calculating;Pair of strain sensors carries out temperature-compensating, improves the survey of strain Accuracy of measurement, and then improve the overall measurement accuracy of system;Utilize the health status of GIS emulation platform imitating substation body, There is the good effect carrying out interface alternation with user;Time phase t=36h, it is achieved that transformer substation body dynamical health complete Automatic monitoring, the overall measurement accuracy of system improves 20%.
Embodiment 5: as shown in Figure 1 a kind of can the intelligent substation of real-time estimate its shelf-life, it include transformer substation body and Being arranged on the intelligent monitor system of transformer substation body, described intelligent monitor system includes:
(1) monitoring modular, including the wireless sensor network that transformer substation body health is monitored, for monitoring substation originally The strain sensor assemblies of each dangerous position of body and displacement transducer, transformer substation body is good for by described wireless sensor network all standing Health structure is monitored, and meanwhile, network uses advanced physical message emerging system, real-time to transformer substation body health structure Perception;Institute's displacement sensors is for monitoring the working base point of dangerous position change in displacement and being used for checking working base point stability Overall datum mark based on carry out three dimensions displacement monitoring, each dangerous position of described transformer substation body, working base point and complete Office's datum mark determines by transformer substation body is carried out FEM Simulation;Described strain sensor assemblies include performance parameters and Completely identical in structure work strain transducer and temperature-compensating strain transducer, described work strain transducer and temperature It is arranged on each dangerous position of transformer substation body after the series connection of compensation strain transducer;
(2) data processing module, it includes that the data gathering central station, collecting collection central station carry out nursing one's health processing and amplifying Signal conditioner and the signal transmitting apparatus that transmits of data that signal conditioner is processed;
(3) security state evaluation module;
(4) early warning and alarming module, it includes for preventing the analysis processor of false alarm, alarm and information database of record, The input of described analysis processor connects described microprocessor, and the outfan of analysis processor connects described alarm;
(5) emulation display module, including the three-dimension GIS emulation platform being connected with microprocessor, described three-dimension GIS emulation platform The assessment result of security state evaluation module is carried out emulation display, the health status of imitating substation body, and simulation process is:
A, utilize finite element software to carry out after the modeling of transformer substation body to import GIS platform, build transformer substation body tripe systems respectively The model of part, adjusts the locus of each transformer substation body component in GIS platform;
B, by different shape the symbols each dangerous position of analog information transformer substation body, strain sensor assemblies in GIS platform And displacement transducer;
The color that the dangerous position being not at safe condition is specified by c, result according to safe condition module estimation is in GIS platform Interface on show.
Described security state evaluation module includes the microprocessor connecting signal transmitting apparatus, and described microprocessor will be transmitted by signal The average displacement that the displacement data that device transmits carries out being calculated between two time phase t is poor, owing to transformer substation body exists Displacement difference the most first to be compensated by phenomenon of expanding with heat and contract with cold, and then average displacement difference is compared with regulation displacement difference limen value, Judge that described average displacement difference is the most in a safe condition, and calculate according to the Monitoring Data of strain sensor assemblies 24h, Obtain stress amplitude spectrum, calculate the remanent fatigue life of transformer substation body according to stress amplitude spectrum, and by described remanent fatigue life and knot Structure compares projected life, it is judged that described remanent fatigue life is the most in a safe condition;
A, average displacement w(i)Computing formula be:
Wherein, taking 0.5h is sampling time interval, max&min(i+t)For the maximum in the displacement data of previous time phase and Minimum sum, max&min(i+2t)For the maximum in the displacement data in latter time stage and minimum sum;
B, setting the coefficient of expansion as α, revised average displacement is:
&Delta;s &prime; = &Delta; s - &alpha; 1 a 1 + &alpha; 2 a 2 + ... + &alpha; n a n n ( T - T 0 )
Wherein, α1, α2..., αnFor the material temperature coefficient of expansion of each dangerous position, a1, a2..., anFor coefficient, T For mean temperature in seclected time section, T0For transformer substation body location year-round average temperature.
C, the judgment formula of described life-span security evaluation be:
Work as σx(i)≥σbTime,
A = 1 365 &CenterDot; &Sigma; i n &lsqb; p i 10 7 &CenterDot; ( &sigma; x ( i ) &sigma; b ) k &rsqb; - T B
Work as σx(i)<σbTime,
A = 1 365 &CenterDot; &Sigma; i n &lsqb; p i 10 7 &CenterDot; ( &sigma; x ( i ) &sigma; b ) k + 2 &rsqb; - T B
Wherein, σbFor the structural fatigue limit, σxFor the hot spot stress range of each monitoring point, k is that the slope of fatigue curve is reciprocal, pi For the Cyclic Stress coefficient of the actual experience of structure under hot spot stress range, TBFatigue life is designed for structure, in actual applications, Can be affected by transformer substation body overload, be therefore dynamically change, and along with the change of overload use natural law be one nonlinear Process,TAFatigue life, d is designed for initiating structurezRepresent and become Power station body overall design uses natural law, dgRepresent that transformer substation body overload uses natural law;When A is more than 0, it is determined that at structural life-time In safe condition, when A is less than or equal to 0, output alarm signal.
In this embodiment, connected by the structure of modules, it is achieved that the full-automatic monitoring of the dynamical health of transformer station, Be easy to personnel pinpoint the problems early, solution problem;Propose and carry out transformer substation body health structure monitoring with wireless sensor network, Cover wide, real-time;Propose fatigue life safety judgment formula, decrease the workload of calculating, improve monitoring system Work efficiency;Propose the computing formula of average displacement, and average displacement is corrected, use average displacement and position Move threshold value and compare judgement, decrease the workload of calculating;Pair of strain sensors carries out temperature-compensating, improves the survey of strain Accuracy of measurement, and then improve the overall measurement accuracy of system;Utilize the health status of GIS emulation platform imitating substation body, There is the good effect carrying out interface alternation with user;Time phase t=40h, it is achieved that transformer substation body dynamical health complete Automatic monitoring, the overall measurement accuracy of system improves 21%.
Last it should be noted that, above example is only in order to illustrate technical scheme, rather than to scope Restriction, although having made to explain to the present invention with reference to preferred embodiment, it will be understood by those within the art that, Technical scheme can be modified or equivalent, without deviating from the spirit and scope of technical solution of the present invention.

Claims (1)

1. can the intelligent substation of real-time estimate its shelf-life, it is characterized in that, including transformer substation body be arranged on transformer substation body Intelligent monitor system, described intelligent monitor system includes:
(1) monitoring modular, including the wireless sensor network that transformer substation body health is monitored, for monitoring substation originally The strain sensor assemblies of each dangerous position of body and displacement transducer, transformer substation body is good for by described wireless sensor network all standing Health structure is monitored, and meanwhile, network uses advanced physical message emerging system, real-time to transformer substation body health structure Perception;Institute's displacement sensors is for monitoring the working base point of dangerous position change in displacement and being used for checking working base point stability Overall datum mark based on carry out three dimensions displacement monitoring, each dangerous position of described transformer substation body, working base point and complete Office's datum mark determines by transformer substation body is carried out FEM Simulation;Described strain sensor assemblies include performance parameters and Completely identical in structure work strain transducer and temperature-compensating strain transducer, described work strain transducer and temperature It is arranged on each dangerous position of transformer substation body after the series connection of compensation strain transducer;
(2) data processing module, it includes that the data gathering central station, collecting collection central station carry out nursing one's health processing and amplifying Signal conditioner and the signal transmitting apparatus that transmits of data that signal conditioner is processed;
(3) security state evaluation module, described security state evaluation module includes the microprocessor connecting signal transmitting apparatus, institute State the average displacement that the displacement data transmitted by signal transmitting apparatus is carried out being calculated between two time phase t by microprocessor Difference, the most first to compensate displacement difference owing to transformer substation body exists phenomenon of expanding with heat and contract with cold, then by average displacement difference and rule Location is moved difference limen value and is compared, it is judged that described average displacement difference is the most in a safe condition, and according to strain sensor assemblies 24h Monitoring Data calculate, obtain stress amplitude spectrum, according to stress amplitude spectrum calculate transformer substation body remanent fatigue life, and will Described remanent fatigue life compares with structure projected life, it is judged that described remanent fatigue life is the most in a safe condition;
A, average displacement w(i)Computing formula be:
Wherein, taking 0.5h is sampling time interval, max&min(i+t)For the maximum in the displacement data of previous time phase and Minimum sum, max&min(i+2t)For the maximum in the displacement data in latter time stage and minimum sum;
B, setting the coefficient of expansion as α, revised average displacement is:
&Delta;s &prime; = &Delta; s - &alpha; 1 a 1 + &alpha; 2 a 2 + ... + &alpha; n a n n ( T - T 0 )
Wherein, α1, α2..., αnFor the material temperature coefficient of expansion of each dangerous position, a1, a2..., anFor coefficient, T For mean temperature in seclected time section, T0For transformer substation body location year-round average temperature.
C, the judgment formula of described life-span security evaluation be:
Work as σx(i)≥σbTime,
A = 1 365 &CenterDot; &Sigma; i n &lsqb; p i 10 7 &CenterDot; ( &sigma; x ( i ) &sigma; b ) k &rsqb; - T B
Work as σx(i) < σbTime,
A = 1 365 &CenterDot; &Sigma; i n &lsqb; p i 10 7 &CenterDot; ( &sigma; x ( i ) &sigma; b ) k + 2 &rsqb; - T B
Wherein, σbFor the structural fatigue limit, σxFor the hot spot stress range of each monitoring point, k is that the slope of fatigue curve is reciprocal, pi For the Cyclic Stress coefficient of the actual experience of structure under hot spot stress range, TBFatigue life is designed for structure, in actual applications, Can be affected by transformer substation body overload, be therefore dynamically change, and along with the change of overload use natural law be one nonlinear Process,TAFatigue life, d is designed for initiating structurezRepresent and become Power station body overall design uses natural law, dgRepresent that transformer substation body overload uses natural law;When A is more than 0, it is determined that at structural life-time In safe condition, when A is less than or equal to 0, output alarm signal;
(4) early warning and alarming module, it includes for preventing the analysis processor of false alarm, alarm and information database of record, The input of described analysis processor connects described microprocessor, and the outfan of analysis processor connects described alarm;
(5) emulation display module, including the three-dimension GIS emulation platform being connected with microprocessor, described three-dimension GIS emulation platform The assessment result of security state evaluation module is carried out emulation display, the health status of imitating substation body, and simulation process is:
A, utilize finite element software to carry out after the modeling of transformer substation body to import GIS platform, build transformer substation body tripe systems respectively The model of part, adjusts the locus of each transformer substation body component in GIS platform;
B, by different shape the symbols each dangerous position of analog information transformer substation body, strain sensor assemblies in GIS platform And displacement transducer;
The color that the dangerous position being not at safe condition is specified by c, result according to safe condition module estimation is in GIS platform Interface on show.
CN201610166017.3A 2016-03-22 2016-03-22 Intelligent substation capable of predicting service life of its own in real time Pending CN105868842A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610166017.3A CN105868842A (en) 2016-03-22 2016-03-22 Intelligent substation capable of predicting service life of its own in real time

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610166017.3A CN105868842A (en) 2016-03-22 2016-03-22 Intelligent substation capable of predicting service life of its own in real time

Publications (1)

Publication Number Publication Date
CN105868842A true CN105868842A (en) 2016-08-17

Family

ID=56625483

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610166017.3A Pending CN105868842A (en) 2016-03-22 2016-03-22 Intelligent substation capable of predicting service life of its own in real time

Country Status (1)

Country Link
CN (1) CN105868842A (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107608851A (en) * 2017-08-29 2018-01-19 北京航空航天大学 A kind of structure health assessment software desk Implementation method based on piezoelectric transducer
CN107832533A (en) * 2017-11-15 2018-03-23 国网江苏省电力有限公司 A kind of real-time monitoring and displaying method and system of transformer station based on three-dimensional information model
CN109142428A (en) * 2018-04-13 2019-01-04 权奥博 A kind of motor-car orbit strength intelligent checking system
CN113533896A (en) * 2021-09-15 2021-10-22 广东电网有限责任公司东莞供电局 Device and method for evaluating transformer substation signal transmission system

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107608851A (en) * 2017-08-29 2018-01-19 北京航空航天大学 A kind of structure health assessment software desk Implementation method based on piezoelectric transducer
CN107832533A (en) * 2017-11-15 2018-03-23 国网江苏省电力有限公司 A kind of real-time monitoring and displaying method and system of transformer station based on three-dimensional information model
CN109142428A (en) * 2018-04-13 2019-01-04 权奥博 A kind of motor-car orbit strength intelligent checking system
CN113533896A (en) * 2021-09-15 2021-10-22 广东电网有限责任公司东莞供电局 Device and method for evaluating transformer substation signal transmission system
CN113533896B (en) * 2021-09-15 2022-01-21 广东电网有限责任公司东莞供电局 Device and method for evaluating transformer substation signal transmission system

Similar Documents

Publication Publication Date Title
CN105841661A (en) Bridge dynamic health real-time monitoring device
CN105807685A (en) Intelligent monitoring type curtain wall system
CN105756082A (en) Ecological soil retaining wall capable of being monitored in real time
CN105673079B (en) A kind of bridge tunnel monitoring early-warning device
CN105783856A (en) Building sloping roof beam capable of predicating service life thereof
CN105843140A (en) Underground pipeline monitoring system for oil exploitation
CN105787820A (en) Light steel keel partition wall structure having real-time monitoring function
CN105868842A (en) Intelligent substation capable of predicting service life of its own in real time
CN103654798B (en) Method and device for monitoring and recording emotion
CN105841663A (en) Intelligent hydropower station capable of predicting its own service life in real time
CN105716659A (en) Electric tower outdoor damage-preventing early-warning system
CN106650300A (en) Old person monitoring system and method based on extreme learning machine
CN105841662A (en) Sewage treatment system capable of realizing real-time monitoring
CN105628104B (en) Can automatic monitoring itself fatigue life thermal power station
CN105841985A (en) Intelligent monitoring type power transmission circuit tower structure
CN105841738A (en) Real-time monitoring and protection system for slopes at two sides of water channel or river channel
CN105651224A (en) Real-time earth-rock dam body monitoring system with waste slag field arranged behind dam
CN105865515B (en) Mineral conveyance conduit real-time monitoring system
CN107582076B (en) Attention detection device and detection method based on wireless action acquisition module
CN105606159B (en) Heat source tower chemical heat pump with life-span real-time estimate function
CN105607549B (en) Flue gas washing absorption cleaning heat exchange tower with life-span real-time estimate function
CN105602592A (en) Intelligent monitoring biomass dry distillation tower
CN104522926A (en) Fire disaster rescue positioning helmet
CN105783821A (en) Joint cofferdam health prediction system under complex geological condition
Catherine et al. Zigbee Based Hazard Detecting Helmet

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20160817

RJ01 Rejection of invention patent application after publication