CN105841663B - A kind of intelligent power station that can predict shelf-life in real time - Google Patents
A kind of intelligent power station that can predict shelf-life in real time Download PDFInfo
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- CN105841663B CN105841663B CN201610166004.6A CN201610166004A CN105841663B CN 105841663 B CN105841663 B CN 105841663B CN 201610166004 A CN201610166004 A CN 201610166004A CN 105841663 B CN105841663 B CN 105841663B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B21/00—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
- G01B21/32—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring the deformation in a solid
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B21/00—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
- G01B21/02—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring length, width, or thickness
Abstract
The invention discloses a kind of intelligent power stations that can predict shelf-life in real time, including power station ontology and the intelligent monitor system being arranged on the ontology of power station, the system comprises monitoring modulars, data processing module, security state evaluation module, early warning and alarming module and emulation display module, wherein monitoring modular includes wireless sensor network, strain sensor assemblies and displacement sensor, data processing module includes acquisition central station, signal conditioner and signal transmitting apparatus, security state evaluation module includes microprocessor, early warning and alarming module includes analysis processor and alarm, it includes three-dimension GIS emulation platform to emulate display module.The present invention realizes the real time monitoring to power station ontology health, and the remaining life in power station can be predicted according to monitoring data, accurate intelligence.
Description
Technical field
The present invention relates to hydroelectric station design fields, and in particular to a kind of intelligent power station that can predict shelf-life in real time.
Background technology
It most of power station in the related technology can not be according to the data prediction of the Sensor monitoring remaining life of its own.
This defect leads to the data that power station maintenance personnel needs the correlation experience by oneself to judge that sensor is fed back, and reduces
To the promptness of Hydropower Station Monitor, while also considerably increasing the workload of power station maintenance personnel.
Invention content
In view of the above-mentioned problems, the present invention provides a kind of intelligent power station that can predict shelf-life in real time.
The purpose of the present invention is realized using following technical scheme：
A kind of intelligent power station that can predict shelf-life in real time, including power station ontology and be arranged in power station ontology
Intelligent monitor system, the intelligent monitor system include：
(1) monitoring modular includes the wireless sensor network being monitored to power station ontology health, for monitoring water power
The strain sensor assemblies and displacement sensor of each dangerous position of ontology of standing, the wireless sensor network all standing is to power station
Ontology health structure is monitored, meanwhile, network uses advanced physical message emerging system, to power station ontology health structure
Real-time perception；Institute's displacement sensors are for monitoring the working base point of dangerous position change in displacement and for checking work base
Three dimensions displacement monitoring, each dangerous position of the power station ontology, work are carried out based on the global datum mark of point stability
Make basic point and global datum mark by carrying out FEM Simulation determination to power station ontology；The strain sensor assemblies packet
Include performance parameters and completely identical in structure work strain transducer and temperature-compensating strain transducer, the work is with answering
Change sensor and temperature-compensating are set to after being connected with strain transducer on each dangerous position of power station ontology；
(2) data processing module comprising acquisition central station, the data being collected into acquisition central station carry out conditioning amplification
The signal conditioner of processing and the signal transmitting apparatus that the data of signal conditioner processing are transmitted；
(3) security state evaluation module, the security state evaluation module include the microprocessor of connection signal transmitting device
The displacement data transmitted by signal transmitting apparatus be calculated between two time phase t by device, the microprocessor
Average displacement is poor, phenomenon therefore first to compensate to displacement difference since power station ontological existence expands with heat and contract with cold, then will be averaged
Displacement difference is compared with regulation displacement difference threshold value, judges whether the average displacement difference is in a safe condition, and according to strain
The monitoring data of sensor module for 24 hours are calculated, and obtain stress amplitude spectrum, the residual fatigue longevity for calculating structure is composed according to stress amplitude
Life, and the remanent fatigue life is compared with structure design fatigue life, judge whether the remanent fatigue life is located
In safe condition；
A, the calculation formula of average displacement difference Δ s is：
Wherein, it is sampling time interval, max＆min to take 0.5h(i+t)It is very big in the displacement data of previous time phase
The sum of value and minimum, max＆min(i+2t)For the maximum and the sum of minimum in the displacement data in latter time stage, w (i+
T) it is the displacement data of previous time phase, w (i+2t) is the displacement data in latter time stage, and N is sampling number；
B, the coefficient of expansion is set as α, and revised average displacement difference is：
Wherein, α1, α2..., αnFor the material temperature coefficient of expansion of each dangerous position, a1, a2..., anFor coefficient, T is
Mean temperature in seclected time period, T0For power station ontology location year-round average temperature；
C, the judgment formula of service life security evaluation is：
Work as σx(i)≥σbWhen,
Work as σx(i) ＜ σbWhen,
Wherein, σbFor the structural fatigue limit, σx(i) hot spot stress range for being monitoring point i, n indicate of monitoring point
Number, k are that the slope of the curve of fatigue is reciprocal, piFor in the practical Cyclic Stress coefficient undergone of hot spot stress range lower structure, TBFor
Structure design fatigue life, in practical applications ,=- (T-T, which is the hot spot stress range of monitoring point, to be overloaded by power station ontology
It influences, therefore is dynamic change, and be a nonlinear process with overloading using the variation of number of days, TAFatigue life, d are designed for initial configurationzIndicate that power station ontology is always set
Meter uses number of days, dgIndicate that ontology overload in power station uses number of days；When A is more than 0, the decision structure service life is in a safe condition, works as A
When less than or equal to 0, output alarm signal；
(4) early warning and alarming module comprising for preventing the analysis processor, alarm and information of false alarm from recording data
The input terminal in library, the analysis processor connects the microprocessor, and the output end of analysis processor connects the alarm；
(5) display module is emulated, includes the three-dimension GIS emulation platform being connect with microprocessor, the three-dimension GIS emulation is flat
Platform carries out emulation to the assessment result of security state evaluation module and shows, simulates the health status of power station ontology, simulation process
For：
A, GIS platform is imported after carrying out the modeling of power station ontology using finite element software, builds power station ontology respectively
The model of different component adjusts the spatial position of each power station body member in GIS platform；
B, by different shape symbols in GIS platform each dangerous position of simulative display power station ontology, strain sensing
Device assembly and displacement sensor；
C, existed to the defined color of dangerous position for being not at safe condition according to the result of safe condition module estimation
It is shown on the interface of GIS platform.
Beneficial effects of the present invention are：It is connected by the structure of modules, realizes the full-automation of structure dynamics health
Monitoring, pinpoints the problems convenient for personnel, solves the problems, such as early；Propose the health that power station ontology is carried out with wireless sensor network
Monitoring, covering is wide, real-time；Fatigue life safety judgment formula is proposed, the workload of calculating is reduced, improves monitoring
The working efficiency of system；The calculation formula of average displacement is proposed, and average displacement is corrected, using average displacement
It is compared judgement with displacement threshold value, reduces the workload of calculating；Pair of strain sensors carries out temperature-compensating, improves strain
Measurement accuracy, and then improve the overall measurement accuracy of monitoring system；The strong of power station ontology is simulated using GIS emulation platforms
Health situation has the effect of that good and user carries out interface alternation.
Description of the drawings
Using attached drawing, the invention will be further described, but the embodiment in attached drawing does not constitute any limit to the present invention
System, for those of ordinary skill in the art, without creative efforts, can also obtain according to the following drawings
Other attached drawings.
Fig. 1 is the structure diagram of the present invention.
Specific implementation mode
The invention will be further described with the following Examples.
Embodiment 1：Combined cofferdam health forecast system under complex geological condition as shown in Figure 1 comprising：
(1) monitoring modular includes the wireless sensor network being monitored to power station ontology health, for monitoring water power
The strain sensor assemblies and displacement sensor of each dangerous position of ontology of standing, the wireless sensor network all standing is to power station
Ontology health structure is monitored, meanwhile, network uses advanced physical message emerging system, to power station ontology health structure
Real-time perception；Institute's displacement sensors are for monitoring the working base point of dangerous position change in displacement and for checking work base
Three dimensions displacement monitoring, each dangerous position of the power station ontology, work are carried out based on the global datum mark of point stability
Make basic point and global datum mark by carrying out FEM Simulation determination to power station ontology；The strain sensor assemblies packet
Include performance parameters and completely identical in structure work strain transducer and temperature-compensating strain transducer, the work is with answering
Change sensor and temperature-compensating are set to after being connected with strain transducer on each dangerous position of power station ontology；
(2) data processing module comprising acquisition central station, the data being collected into acquisition central station carry out conditioning amplification
The signal conditioner of processing and the signal transmitting apparatus that the data of signal conditioner processing are transmitted；
(3) security state evaluation module；
(4) early warning and alarming module comprising for preventing the analysis processor, alarm and information of false alarm from recording data
The input terminal in library, the analysis processor connects the microprocessor, and the output end of analysis processor connects the alarm；
(5) display module is emulated, includes the three-dimension GIS emulation platform being connect with microprocessor, the three-dimension GIS emulation is flat
Platform carries out emulation to the assessment result of security state evaluation module and shows, simulates the health status of power station ontology, simulation process
For：
A, GIS platform is imported after carrying out the modeling of power station ontology using finite element software, builds power station ontology respectively
The model of different component adjusts the spatial position of each power station body member in GIS platform；
B, by different shape symbols in GIS platform each dangerous position of simulative display power station ontology, strain sensing
Device assembly and displacement sensor；
C, existed to the defined color of dangerous position for being not at safe condition according to the result of safe condition module estimation
It is shown on the interface of GIS platform.
The security state evaluation module includes the microprocessor of connection signal transmitting device, and the microprocessor will be by believing
It is poor that the displacement data of number transmitting device transmission carries out the average displacement being calculated between two time phase t, due to power station
Ontological existence expands with heat and contract with cold and phenomenon therefore first to be compensated to displacement difference, then by average displacement difference and regulation displacement difference threshold value
It is compared, judges whether the average displacement difference is in a safe condition, and the monitoring data according to strain sensor assemblies for 24 hours
It is calculated, obtains stress amplitude spectrum, the remanent fatigue life for calculating structure is composed according to stress amplitude, and by the remanent fatigue life
It is compared with structure design fatigue life, judges whether the remanent fatigue life is in a safe condition；
A, the calculation formula of average displacement difference Δ s is：
Wherein, it is sampling time interval, max＆min to take 0.5h(i+t)It is very big in the displacement data of previous time phase
The sum of value and minimum, max＆min(i+2t)For the maximum and the sum of minimum in the displacement data in latter time stage, w (i+
T) it is the displacement data of previous time phase, w (i+2t) is the displacement data in latter time stage, and N is sampling number；
B, the coefficient of expansion is set as α, and revised average displacement difference is：
Wherein, α1, α2..., αnFor the material temperature coefficient of expansion of each dangerous position, a1, a2..., anFor coefficient, T is
Mean temperature in seclected time period, T0For power station ontology location year-round average temperature；
C, the judgment formula of service life security evaluation is：
Work as σx(i)≥σbWhen,
Work as σx(i) ＜ σbWhen,
Wherein, σbFor the structural fatigue limit, σx(i) hot spot stress range for being monitoring point i, n indicate that the number of monitoring point, k are
The slope of the curve of fatigue is reciprocal, piFor in the practical Cyclic Stress coefficient undergone of hot spot stress range lower structure, TBIt is tired for structure design
The labor service life, in practical applications,0It can be influenced by power station ontology overload, therefore be dynamic change, and as overload uses day
Several variations is a nonlinear process,TAIt is designed for initial configuration
Fatigue life, dzIndicate that power station ontology overall design uses number of days, dgIndicate that ontology overload in power station uses number of days；When A be more than 0,
The decision structure service life is in a safe condition, when A is less than or equal to 0, output alarm signal.
In this embodiment, it is connected by the structure of modules, realizes the full-automatic monitoring of structure dynamics health,
It pinpoints the problems, solve the problems, such as early convenient for personnel；The health monitoring that power station ontology is carried out with wireless sensor network is proposed,
Covering is wide, real-time；Fatigue life safety judgment formula is proposed, the workload of calculating is reduced, improves monitoring system
Working efficiency；The calculation formula of average displacement is proposed, and average displacement is corrected, using average displacement and position
It moves threshold value and is compared judgement, reduce 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 monitoring system；The healthy shape of power station ontology is simulated using GIS emulation platforms
Condition has the effect of that good and user carries out interface alternation；Time phase t=24h realizes power station ontology dynamical health
Full-automatic monitoring, the overall measurement accuracy for monitoring system improves 15%.
Embodiment 2：Combined cofferdam health forecast system under complex geological condition as shown in Figure 1 comprising：
(1) monitoring modular includes the wireless sensor network being monitored to power station ontology health, for monitoring water power
The strain sensor assemblies and displacement sensor of each dangerous position of ontology of standing, the wireless sensor network all standing is to power station
Ontology health structure is monitored, meanwhile, network uses advanced physical message emerging system, to power station ontology health structure
Real-time perception；Institute's displacement sensors are for monitoring the working base point of dangerous position change in displacement and for checking work base
Three dimensions displacement monitoring, each dangerous position of the power station ontology, work are carried out based on the global datum mark of point stability
Make basic point and global datum mark by carrying out FEM Simulation determination to power station ontology；The strain sensor assemblies packet
Include performance parameters and completely identical in structure work strain transducer and temperature-compensating strain transducer, the work is with answering
Change sensor and temperature-compensating are set to after being connected with strain transducer on each dangerous position of power station ontology；
(2) data processing module comprising acquisition central station, the data being collected into acquisition central station carry out conditioning amplification
The signal conditioner of processing and the signal transmitting apparatus that the data of signal conditioner processing are transmitted；
(3) security state evaluation module；
(4) early warning and alarming module comprising for preventing the analysis processor, alarm and information of false alarm from recording data
The input terminal in library, the analysis processor connects the microprocessor, and the output end of analysis processor connects the alarm；
(5) display module is emulated, includes the three-dimension GIS emulation platform being connect with microprocessor, the three-dimension GIS emulation is flat
Platform carries out emulation to the assessment result of security state evaluation module and shows, simulates the health status of power station ontology, simulation process
For：
A, GIS platform is imported after carrying out the modeling of power station ontology using finite element software, builds power station ontology respectively
The model of different component adjusts the spatial position of each power station body member in GIS platform；
B, by different shape symbols in GIS platform each dangerous position of simulative display power station ontology, strain sensing
Device assembly and displacement sensor；
C, existed to the defined color of dangerous position for being not at safe condition according to the result of safe condition module estimation
It is shown on the interface of GIS platform.
The security state evaluation module includes the microprocessor of connection signal transmitting device, and the microprocessor will be by believing
It is poor that the displacement data of number transmitting device transmission carries out the average displacement being calculated between two time phase t, due to power station
Ontological existence expands with heat and contract with cold and phenomenon therefore first to be compensated to displacement difference, then by average displacement difference and regulation displacement difference threshold value
It is compared, judges whether the average displacement difference is in a safe condition, and the monitoring data according to strain sensor assemblies for 24 hours
It is calculated, obtains stress amplitude spectrum, the remanent fatigue life for calculating structure is composed according to stress amplitude, and by the remanent fatigue life
It is compared with structure design fatigue life, judges whether the remanent fatigue life is in a safe condition；
A, the calculation formula of average displacement difference Δ s is：
Wherein, it is sampling time interval, max＆min to take 0.5h(i+t)It is very big in the displacement data of previous time phase
The sum of value and minimum, max＆min(i+2t)For the maximum and the sum of minimum in the displacement data in latter time stage, w (i+
T) it is the displacement data of previous time phase, w (i+2t) is the displacement data in latter time stage, and N is sampling number；
B, the coefficient of expansion is set as α, and revised average displacement difference is：
Wherein, α1, α2..., αnFor the material temperature coefficient of expansion of each dangerous position, a1, a2..., anFor coefficient, T is
Mean temperature in seclected time period, T0For power station ontology location year-round average temperature；
C, the judgment formula of service life security evaluation is：
Work as σx(i)≥σbWhen,
Work as σx(i) ＜ σbWhen,
Wherein, σbFor the structural fatigue limit, σx(i) hot spot stress range for being monitoring point i, n indicate that the number of monitoring point, k are
The slope of the curve of fatigue is reciprocal, piFor in the practical Cyclic Stress coefficient undergone of hot spot stress range lower structure, TBIt is tired for structure design
The labor service life, in practical applications0, can be influenced by power station ontology overload, therefore be dynamic change, and as overload uses day
Several variations is a nonlinear process,TAIt is designed for initial configuration
Fatigue life, dzIndicate that power station ontology overall design uses number of days, dgIndicate that ontology overload in power station uses number of days；When A be more than 0,
The decision structure service life is in a safe condition, when A is less than or equal to 0, output alarm signal.
In this embodiment, it is connected by the structure of modules, realizes the full-automatic monitoring of structure dynamics health,
It pinpoints the problems, solve the problems, such as early convenient for personnel；The health monitoring that power station ontology is carried out with wireless sensor network is proposed,
Covering is wide, real-time；Fatigue life safety judgment formula is proposed, the workload of calculating is reduced, improves monitoring system
Working efficiency；The calculation formula of average displacement is proposed, and average displacement is corrected, using average displacement and position
It moves threshold value and is compared judgement, reduce 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 monitoring system；The healthy shape of power station ontology is simulated using GIS emulation platforms
Condition has the effect of that good and user carries out interface alternation；Time phase t=28h realizes power station ontology dynamical health
Full-automatic monitoring, the overall measurement accuracy for monitoring system improves 17%.
Embodiment 3：Combined cofferdam health forecast system under complex geological condition as shown in Figure 1 comprising：
(1) monitoring modular includes the wireless sensor network being monitored to power station ontology health, for monitoring water power
The strain sensor assemblies and displacement sensor of each dangerous position of ontology of standing, the wireless sensor network all standing is to power station
Ontology health structure is monitored, meanwhile, network uses advanced physical message emerging system, to power station ontology health structure
Real-time perception；Institute's displacement sensors are for monitoring the working base point of dangerous position change in displacement and for checking work base
Three dimensions displacement monitoring, each dangerous position of the power station ontology, work are carried out based on the global datum mark of point stability
Make basic point and global datum mark by carrying out FEM Simulation determination to power station ontology；The strain sensor assemblies packet
Include performance parameters and completely identical in structure work strain transducer and temperature-compensating strain transducer, the work is with answering
Change sensor and temperature-compensating are set to after being connected with strain transducer on each dangerous position of power station ontology；
(2) data processing module comprising acquisition central station, the data being collected into acquisition central station carry out conditioning amplification
The signal conditioner of processing and the signal transmitting apparatus that the data of signal conditioner processing are transmitted；
(3) security state evaluation module；
(4) early warning and alarming module comprising for preventing the analysis processor, alarm and information of false alarm from recording data
The input terminal in library, the analysis processor connects the microprocessor, and the output end of analysis processor connects the alarm；
(5) display module is emulated, includes the three-dimension GIS emulation platform being connect with microprocessor, the three-dimension GIS emulation is flat
Platform carries out emulation to the assessment result of security state evaluation module and shows, simulates the health status of power station ontology, simulation process
For：
A, GIS platform is imported after carrying out the modeling of power station ontology using finite element software, builds power station ontology respectively
The model of different component adjusts the spatial position of each power station body member in GIS platform；
B, by different shape symbols in GIS platform each dangerous position of simulative display power station ontology, strain sensing
Device assembly and displacement sensor；
C, existed to the defined color of dangerous position for being not at safe condition according to the result of safe condition module estimation
It is shown on the interface of GIS platform.
The security state evaluation module includes the microprocessor of connection signal transmitting device, and the microprocessor will be by believing
It is poor that the displacement data of number transmitting device transmission carries out the average displacement being calculated between two time phase t, due to power station
Ontological existence expands with heat and contract with cold and phenomenon therefore first to be compensated to displacement difference, then by average displacement difference and regulation displacement difference threshold value
It is compared, judges whether the average displacement difference is in a safe condition, and the monitoring data according to strain sensor assemblies for 24 hours
It is calculated, obtains stress amplitude spectrum, the remanent fatigue life for calculating structure is composed according to stress amplitude, and by the remanent fatigue life
It is compared with structure design fatigue life, judges whether the remanent fatigue life is in a safe condition；
A, the calculation formula of average displacement difference Δ s is：
Wherein, it is sampling time interval, max＆min to take 0.5h(i+t)It is very big in the displacement data of previous time phase
The sum of value and minimum, max＆min(i+2t)For the maximum and the sum of minimum in the displacement data in latter time stage, w (i+
T) it is the displacement data of previous time phase, w (i+2t) is the displacement data in latter time stage, and N is sampling number；
B, the coefficient of expansion is set as α, and revised average displacement difference is：
Wherein, α1, α2..., αnFor the material temperature coefficient of expansion of each dangerous position, a1, a2..., anFor coefficient, T is choosing
Mean temperature in section of fixing time, T0For power station ontology location year-round average temperature；
C, the judgment formula of service life security evaluation is：
Work as σx(i)≥σbWhen,
Work as σx(i) ＜ σbWhen,
Wherein, σbFor the structural fatigue limit, σx(i) hot spot stress range for being monitoring point i, n indicate that the number of monitoring point, k are
The slope of the curve of fatigue is reciprocal, piFor in the practical Cyclic Stress coefficient undergone of hot spot stress range lower structure, TBIt is tired for structure design
The labor service life, in practical applications ,=- (T-T can be influenced by power station ontology overload, therefore be dynamic change, and with overload
Variation using number of days is a nonlinear process,TAInitially to tie
Structure designs fatigue life, dzIndicate that power station ontology overall design uses number of days, dgIndicate that ontology overload in power station uses number of days；Work as A
More than 0, the decision structure service life is in a safe condition, when A is less than or equal to 0, output alarm signal.
In this embodiment, it is connected by the structure of modules, realizes the full-automatic monitoring of structure dynamics health,
It pinpoints the problems, solve the problems, such as early convenient for personnel；The health monitoring that power station ontology is carried out with wireless sensor network is proposed,
Covering is wide, real-time；Fatigue life safety judgment formula is proposed, the workload of calculating is reduced, improves monitoring system
Working efficiency；The calculation formula of average displacement is proposed, and average displacement is corrected, using average displacement and position
It moves threshold value and is compared judgement, reduce 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 monitoring system；The healthy shape of power station ontology is simulated using GIS emulation platforms
Condition has the effect of that good and user carries out interface alternation；Time phase t=32h realizes power station ontology dynamical health
Full-automatic monitoring, the overall measurement accuracy for monitoring system improves 18%.
Embodiment 4：Combined cofferdam health forecast system under complex geological condition as shown in Figure 1 comprising：
(1) monitoring modular includes the wireless sensor network being monitored to power station ontology health, for monitoring water power
The strain sensor assemblies and displacement sensor of each dangerous position of ontology of standing, the wireless sensor network all standing is to power station
Ontology health structure is monitored, meanwhile, network uses advanced physical message emerging system, to power station ontology health structure
Real-time perception；Institute's displacement sensors are for monitoring the working base point of dangerous position change in displacement and for checking work base
Three dimensions displacement monitoring, each dangerous position of the power station ontology, work are carried out based on the global datum mark of point stability
Make basic point and global datum mark by carrying out FEM Simulation determination to power station ontology；The strain sensor assemblies packet
Include performance parameters and completely identical in structure work strain transducer and temperature-compensating strain transducer, the work is with answering
Change sensor and temperature-compensating are set to after being connected with strain transducer on each dangerous position of power station ontology；
(2) data processing module comprising acquisition central station, the data being collected into acquisition central station carry out conditioning amplification
The signal conditioner of processing and the signal transmitting apparatus that the data of signal conditioner processing are transmitted；
(3) security state evaluation module；
(4) early warning and alarming module comprising for preventing the analysis processor, alarm and information of false alarm from recording data
The input terminal in library, the analysis processor connects the microprocessor, and the output end of analysis processor connects the alarm；
(5) display module is emulated, includes the three-dimension GIS emulation platform being connect with microprocessor, the three-dimension GIS emulation is flat
Platform carries out emulation to the assessment result of security state evaluation module and shows, simulates the health status of power station ontology, simulation process
For：
A, GIS platform is imported after carrying out the modeling of power station ontology using finite element software, builds power station ontology respectively
The model of different component adjusts the spatial position of each power station body member in GIS platform；
B, by different shape symbols in GIS platform each dangerous position of simulative display power station ontology, strain sensing
Device assembly and displacement sensor；
C, existed to the defined color of dangerous position for being not at safe condition according to the result of safe condition module estimation
It is shown on the interface of GIS platform.
The security state evaluation module includes the microprocessor of connection signal transmitting device, and the microprocessor will be by believing
It is poor that the displacement data of number transmitting device transmission carries out the average displacement being calculated between two time phase t, due to power station
Ontological existence expands with heat and contract with cold and phenomenon therefore first to be compensated to displacement difference, then by average displacement difference and regulation displacement difference threshold value
It is compared, judges whether the average displacement difference is in a safe condition, and the monitoring data according to strain sensor assemblies for 24 hours
It is calculated, obtains stress amplitude spectrum, the remanent fatigue life for calculating structure is composed according to stress amplitude, and by the remanent fatigue life
It is compared with structure design fatigue life, judges whether the remanent fatigue life is in a safe condition；
A, the calculation formula of average displacement difference Δ s is：
Wherein, it is sampling time interval, max＆min to take 0.5h(i+t)It is very big in the displacement data of previous time phase
The sum of value and minimum, max＆min(i+2t)For the maximum and the sum of minimum in the displacement data in latter time stage, w (i+
T) it is the displacement data of previous time phase, w (i+2t) is the displacement data in latter time stage, and N is sampling number；
B, the coefficient of expansion is set as α, and revised average displacement difference is：
Wherein, α1, α2..., αnFor the material temperature coefficient of expansion of each dangerous position, a1, a2..., anFor coefficient, T is choosing
Mean temperature in section of fixing time, T0For power station ontology location year-round average temperature；
C, the judgment formula of service life security evaluation is：
Work as σx(i)≥σbWhen,
Work as σx(i) ＜ σbWhen,
Wherein, σbFor the structural fatigue limit, σx(i) hot spot stress range for being monitoring point i, n indicate that the number of monitoring point, k are
The slope of the curve of fatigue is reciprocal, piFor in the practical Cyclic Stress coefficient undergone of hot spot stress range lower structure, TBIt is tired for structure design
The labor service life, in practical applications ,=- (T-T can be influenced by power station ontology overload, therefore be dynamic change, and with overload
Variation using number of days is a nonlinear process,TAInitially to tie
Structure designs fatigue life, dzIndicate that power station ontology overall design uses number of days, dgIndicate that ontology overload in power station uses number of days；Work as A
More than 0, the decision structure service life is in a safe condition, when A is less than or equal to 0, output alarm signal.
In this embodiment, it is connected by the structure of modules, realizes the full-automatic monitoring of structure dynamics health,
It pinpoints the problems, solve the problems, such as early convenient for personnel；The health monitoring that power station ontology is carried out with wireless sensor network is proposed,
Covering is wide, real-time；Fatigue life safety judgment formula is proposed, the workload of calculating is reduced, improves monitoring system
Working efficiency；The calculation formula of average displacement is proposed, and average displacement is corrected, using average displacement and position
It moves threshold value and is compared judgement, reduce 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 monitoring system；The healthy shape of power station ontology is simulated using GIS emulation platforms
Condition has the effect of that good and user carries out interface alternation；Time phase t=36h realizes power station ontology dynamical health
Full-automatic monitoring, the overall measurement accuracy for monitoring system improves 20%.
Embodiment 5：Combined cofferdam health forecast system under complex geological condition as shown in Figure 1 comprising：
(1) monitoring modular includes the wireless sensor network being monitored to power station ontology health, for monitoring water power
The strain sensor assemblies and displacement sensor of each dangerous position of ontology of standing, the wireless sensor network all standing is to power station
Ontology health structure is monitored, meanwhile, network uses advanced physical message emerging system, to power station ontology health structure
Real-time perception；Institute's displacement sensors are for monitoring the working base point of dangerous position change in displacement and for checking work base
Three dimensions displacement monitoring, each dangerous position of the power station ontology, work are carried out based on the global datum mark of point stability
Make basic point and global datum mark by carrying out FEM Simulation determination to power station ontology；The strain sensor assemblies packet
Include performance parameters and completely identical in structure work strain transducer and temperature-compensating strain transducer, the work is with answering
Change sensor and temperature-compensating are set to after being connected with strain transducer on each dangerous position of power station ontology；
(2) data processing module comprising acquisition central station, the data being collected into acquisition central station carry out conditioning amplification
The signal conditioner of processing and the signal transmitting apparatus that the data of signal conditioner processing are transmitted；
(3) security state evaluation module；
(4) early warning and alarming module comprising for preventing the analysis processor, alarm and information of false alarm from recording data
The input terminal in library, the analysis processor connects the microprocessor, and the output end of analysis processor connects the alarm；
(5) display module is emulated, includes the three-dimension GIS emulation platform being connect with microprocessor, the three-dimension GIS emulation is flat
Platform carries out emulation to the assessment result of security state evaluation module and shows, simulates the health status of power station ontology, simulation process
For：
A, GIS platform is imported after carrying out the modeling of power station ontology using finite element software, builds power station ontology respectively
The model of different component adjusts the spatial position of each power station body member in GIS platform；
B, by different shape symbols in GIS platform each dangerous position of simulative display power station ontology, strain sensing
Device assembly and displacement sensor；
C, existed to the defined color of dangerous position for being not at safe condition according to the result of safe condition module estimation
It is shown on the interface of GIS platform.
The security state evaluation module includes the microprocessor of connection signal transmitting device, and the microprocessor will be by believing
It is poor that the displacement data of number transmitting device transmission carries out the average displacement being calculated between two time phase t, due to power station
Ontological existence expands with heat and contract with cold and phenomenon therefore first to be compensated to displacement difference, then by average displacement difference and regulation displacement difference threshold value
It is compared, judges whether the average displacement difference is in a safe condition, and the monitoring data according to strain sensor assemblies for 24 hours
It is calculated, obtains stress amplitude spectrum, the remanent fatigue life for calculating structure is composed according to stress amplitude, and by the remanent fatigue life
It is compared with structure design fatigue life, judges whether the remanent fatigue life is in a safe condition；
A, the calculation formula of average displacement difference Δ s is：
Wherein, it is sampling time interval, max＆min to take 0.5h(i+t)It is very big in the displacement data of previous time phase
The sum of value and minimum, max＆min(i+2t)For the maximum and the sum of minimum in the displacement data in latter time stage, w (i+
T) it is the displacement data of previous time phase, w (i+2t) is the displacement data in latter time stage, and N is sampling number；
B, the coefficient of expansion is set as α, and revised average displacement difference is：
Wherein, α1, α2..., αnFor the material temperature coefficient of expansion of each dangerous position, a1, a2..., anFor coefficient, T is choosing
Mean temperature in section of fixing time, T0For power station ontology location year-round average temperature；
C, the judgment formula of service life security evaluation is：
Work as σx(i)≥σbWhen,
Work as σx(i) ＜ σbWhen,
Wherein, σbFor the structural fatigue limit, σx(i) hot spot stress range for being monitoring point i, n indicate that the number of monitoring point, k are
The slope of the curve of fatigue is reciprocal, piFor in the practical Cyclic Stress coefficient undergone of hot spot stress range lower structure, TBIt is tired for structure design
The labor service life, in practical applications ,=- (T-T can be influenced by power station ontology overload, therefore be dynamic change, and with overload
Variation using number of days is a nonlinear process,TAInitially to tie
Structure designs fatigue life, dzIndicate that power station ontology overall design uses number of days, dgIndicate that ontology overload in power station uses number of days；Work as A
More than 0, the decision structure service life is in a safe condition, when A is less than or equal to 0, output alarm signal.
In this embodiment, it is connected by the structure of modules, realizes the full-automatic monitoring of structure dynamics health,
It pinpoints the problems, solve the problems, such as early convenient for personnel；The health monitoring that power station ontology is carried out with wireless sensor network is proposed,
Covering is wide, real-time；Fatigue life safety judgment formula is proposed, the workload of calculating is reduced, improves monitoring system
Working efficiency；The calculation formula of average displacement is proposed, and average displacement is corrected, using average displacement and position
It moves threshold value and is compared judgement, reduce 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 monitoring system；The healthy shape of power station ontology is simulated using GIS emulation platforms
Condition has the effect of that good and user carries out interface alternation；Time phase t=40h realizes power station ontology dynamical health
Full-automatic monitoring, the overall measurement accuracy for monitoring system improves 21%.
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than the present invention is protected
The limitation of range is protected, although being explained in detail to the present invention with reference to preferred embodiment, those skilled in the art answer
Work as understanding, technical scheme of the present invention can be modified or replaced equivalently, without departing from the reality of technical solution of the present invention
Matter and range.
Claims (1)
1. a kind of intelligent power station that can predict shelf-life in real time, characterized in that including power station ontology and be arranged in water power
It stands the intelligent monitor system of ontology, the intelligent monitor system includes：
(1) monitoring modular includes the wireless sensor network being monitored to power station ontology health, for monitoring power station sheet
The strain sensor assemblies and displacement sensor of each dangerous position of body, the wireless sensor network all standing is to power station ontology
Healthy structure is monitored, meanwhile, network uses advanced physical message emerging system, to the reality of power station ontology health structure
When perceive；Institute's displacement sensors are steady for monitoring the working base point of dangerous position change in displacement and for checking working base point
Three dimensions displacement monitoring, each dangerous position, the work base of the power station ontology are qualitatively carried out based on overall situation datum mark
Point and global datum mark to power station ontology by carrying out FEM Simulation determination；The strain sensor assemblies include ginseng
Number performance and completely identical in structure work strain transducer and temperature-compensating strain transducer, the work are passed with strain
Sensor and temperature-compensating are set to after being connected with strain transducer on each dangerous position of power station ontology；
(2) data processing module comprising acquisition central station, the data being collected into acquisition central station carry out conditioning enhanced processing
Signal conditioner and the signal transmitting apparatus that is transmitted of data to signal conditioner processing；
(3) security state evaluation module, the security state evaluation module include the microprocessor of connection signal transmitting device, institute
State the average bit that the displacement data transmitted by signal transmitting apparatus be calculated between two time phase t by microprocessor
Move it is poor, due to power station ontological existence expand with heat and contract with cold phenomenon therefore first displacement difference is compensated, it is then that average displacement is poor
It is compared with regulation displacement difference threshold value, judges whether the average displacement difference is in a safe condition, and according to strain transducer
The monitoring data of component for 24 hours are calculated, and stress amplitude spectrum is obtained, and the remanent fatigue life for calculating structure is composed according to stress amplitude, and
The remanent fatigue life is compared with structure design fatigue life, judges the remanent fatigue life whether in safety
State；
A, the calculation formula of average displacement difference Δ s is：
Wherein, it is sampling time interval, max＆min to take 0.5h(i+t)For in the displacement data of previous time phase maximum and
The sum of minimum, max＆min(i+2t)For the maximum and the sum of minimum in the displacement data in latter time stage, w (i+t) is
The displacement data of previous time phase, w (i+2t) are the displacement data in latter time stage, and N is sampling number；
B, the coefficient of expansion is set as α, and revised average displacement difference is：
Wherein, α1, α2..., αnFor the material temperature coefficient of expansion of each dangerous position, a1, a2..., anFor coefficient, T is selected
Mean temperature in period, T0For power station ontology location year-round average temperature；
C, the judgment formula of service life security evaluation is：
Work as σx(i)≥σbWhen,
Work as σx(i) ＜ σbWhen,
Wherein, σbFor the structural fatigue limit, σx(i) hot spot stress range for being monitoring point i, n indicate that the number of monitoring point, k are fatigue
Slope of a curve is reciprocal, piFor in the practical Cyclic Stress coefficient undergone of hot spot stress range lower structure, TBFor the structure design tired longevity
Life, in practical applications, can be influenced, therefore be dynamic change by power station ontology overload, and as overload uses number of days
Variation is a nonlinear process,TAFatigue is designed for initial configuration
Service life, dzIndicate that power station ontology overall design uses number of days, dgIndicate that ontology overload in power station uses number of days；When A be more than 0, judgement
Structural life-time is in a safe condition, when A is less than or equal to 0, output alarm signal；
(4) early warning and alarming module comprising analysis processor, alarm and information database of record for preventing false alarm,
The input terminal of the analysis processor connects the microprocessor, and the output end of analysis processor connects the alarm；
(5) display module is emulated, includes the three-dimension GIS emulation platform being connect with microprocessor, the three-dimension GIS emulation platform pair
The assessment result of security state evaluation module carries out emulation and shows, simulates the health status of power station ontology, and simulation process is：
A, GIS platform is imported after carrying out the modeling of power station ontology using finite element software, it is different to build power station ontology respectively
The model of component adjusts the spatial position of each power station body member in GIS platform；
B, by different shape symbols in GIS platform each dangerous position of simulative display power station ontology, strain transducer group
Part and displacement sensor；
C, flat in GIS with defined color to the dangerous position for being not at safe condition according to the result of safe condition module estimation
It is shown on the interface of platform.
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