CN105046075A - Analyzing-processing method and device for dam quality monitoring data - Google Patents
Analyzing-processing method and device for dam quality monitoring data Download PDFInfo
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Abstract
The invention discloses an analyzing-processing method and device for dam quality monitoring data. The method comprises the following steps: acquiring dam quality monitoring original data; annotating the validity of each datum in the dam quality monitoring original data; performing abnormal data detection on the data annotated as valid to find abnormal detection points; and judging whether or not the abnormal detection points are generated due to monitoring causes, if not, performing physical cause analysis on the abnormal detection points, and making safety evaluation and aid decision making according to an abnormity reason if the abnormality reason is found. The dam quality monitoring data is analyzed comprehensively, so that the dam quality safety is judged immediately, accurately and comprehensively, and the influence of abnormity degree on a dam is determined according to the found abnormality cause. A suggestion on an aid decision making measure is made according to the abnormality cause and the abnormity degree, so that the safety state of the dam is analyzed immediately and accurately, and a corresponding measure is provided.
Description
Technical field
The invention belongs to dam quality monitoring technical field, more specifically relate to a kind of analysis and processing method and device of dam monitoring data.
Background technology
Worldwide dam quantity and enlistment age increase day by day, are also day by day concerned about its safety, have occurred many data about existing dam situation and report and have improved the suggestion of existing dam situation.Usually adopted analysis observational data set up mathematics monitoring model and in conjunction with methods such as daily inspections, analyze the work condition of dam, evaluate and monitor in the past.But, because the condition of work of dam is very complicated, said method is only adopted to also have its limitation, final comprehensive analysis and inspection still need have been come by veteran expert or expert group, when particularly there is dangerous situation in flood season, usually to be in the action by leaders, organize expert group comprehensively to analyze, appraisal and decision-making.In addition, because the observational data of dam is a lot, process and analytical work amount very large, and owing to being subject to the restriction of various condition, the technician of dam management unit is difficult to process in time, and the units concerned 1-2 year generally will be entrusted to complete, thus analysis results can not be used in time the safe operation monitoring dam, also just can not Timeliness coverage hidden danger, so that delay opportunity, cause unnecessary loss.
Summary of the invention
(1) technical matters that will solve
The technical problem to be solved in the present invention is how according to dam work condition Comprehensive Evaluation dam quality safety timely and accurately, and provides corresponding measure.
(2) technical scheme
In order to solve the problems of the technologies described above, the invention provides a kind of analysis and processing method of dam monitoring data, described method comprises:
S1, acquisition dam quality monitoring raw data;
S2, the validity of each data in described dam quality monitoring raw data to be marked;
S3, be labeled as effective data in described step S2, carry out anomaly data detection, find abnormality detection point;
S4, the described abnormality detection point obtained for described step S3, judge whether it is produced, if not then enter step S5 by monitoring reason;
S5, physical cause analysis is carried out to described abnormality detection point, if find abnormal cause, then provide safety evaluation and aid decision making according to described abnormal cause.
Preferably, described dam quality monitoring raw data comprises artificial survey read data and devices collect data.
Preferably, in described step S2, validity mark comprises the following steps:
For each data in described dam quality monitoring raw data, if it is in corresponding span, be labeled as effectively;
For the two kinds of data can mutually released in described dam quality monitoring raw data, the relative error range of control according to correspondence carries out Effective judgement, if the difference of described two kinds of data is in described relative error range of control, is labeled as effectively.
Preferably, in described step S3, Utilization assessment criterion carries out anomaly data detection, and described interpretational criteria comprises Spatio-Temporal Evaluation criterion, rule interpretational criteria, monitoring model interpretational criteria, monitor control index interpretational criteria and inspection interpretational criteria.
Preferably, in described step S4, describedly judge that whether it be produced by monitoring reason to comprise the following steps:
To identical with the described abnormality detection point time, and be positioned at multiple detecting with the measured value of the identical monitoring variable of described abnormality detection point with reference to check point at other positions, if described multiple Monitoring Data change all without exception with reference to check point, corresponding described abnormality detection point produces by monitoring reason;
The relevant monitoring variable of described abnormality detection point and relevant environment amount are detected, if significant change or described relevant environment amount do not occur described relevant monitoring variable do not exceed the Load Combination that history occurs, then corresponding described abnormality detection point produces by monitoring reason; Wherein said relevant monitoring variable comprises the relevant monitoring variable measured value such as water level under distortion corresponding to the described abnormality detection point position identical with the described abnormality detection point time, stress, osmotic pressure, two sides, and described relevant environment amount comprises described abnormality detection point corresponding reservoir level, temperature;
In above-mentioned steps, if distortion and stress doubtful point are then correlated with, monitoring variable comprises osmotic pressure and two sides underground water table, if osmotic pressure doubtful point is then correlated with, monitoring variable comprises distortion and the stress of described abnormality detection point.
Preferably, the physical cause in described step S5 comprises extraneous physical factor and internal physical factor;
Described external physical factor comprises environmental factor;
Described internal physical factor comprises displacement, distortion, stress and seepage flow.
Preferably, in described step S5, first analysis is carried out to described external physical factor and judge, if eliminate the impact of described external physical factor, then analysis is carried out to described internal physical factor and judge, otherwise analysis judgement is not carried out to described internal physical factor.
Preferably, in described step S5, describedly physical cause analysis carried out to described abnormality detection point comprise the following steps:
Carry out external physical factor analysis, judge whether the temperature that described abnormality detection point is corresponding and reservoir level occur obviously, judge whether the geographic position that described abnormality detection point is corresponding blasting operation occurred, whether earthquake occurs; Under judging, whether water level there is significant change, obtains the environmental factor affecting described abnormality detection point;
Analyze under the effect of described environmental factor, whether the dam foundation of described abnormality detection point there is distortion or slided, and whether curtain or the draining of described abnormality detection point be impaired;
At the described dam foundation, distortion occurred or slided, and when described curtain or impaired drainage, whether the dam body analyzing described abnormality detection point there is excessive deformation or crack, finds the abnormal cause corresponding to described external physical factor;
Carry out internal physical factor analysis, analyze the displacement of described abnormality detection point, distortion, stress and seepage flow change, obtain the abnormal cause corresponding to internal physical factor.
Preferably, in described step S5, describedly provide safety evaluation according to described abnormal cause and aid decision making comprises the following steps:
Determine to obtain described safety evaluation by its intensity of anomaly caused dam according to described abnormal cause;
Abnormal cause according to described intensity of anomaly and correspondence determines corresponding aid decision making.
An APU for dam monitoring data, described device utilizes said method to carry out analyzing and processing, and described device comprises:
Monitoring Data perception acquiring unit, for obtaining dam quality monitoring raw data, and passes to Monitoring Data pretreatment unit;
Monitoring Data pretreatment unit, the validity for each data in the described dam quality monitoring raw data that receives it marks, and the data after process are passed to anomaly data detection unit;
Anomaly data detection unit, carries out anomaly data detection for the effective data that are labeled as received it, finds abnormality detection point, and pass to Anomaly causation analysis unit;
Anomaly causation analysis unit, for judging whether described abnormality detection point is produced, if not then carry out physical cause analysis to described abnormality detection point, if find abnormal cause that described abnormal cause is passed to comprehensive safety evaluation unit by monitoring reason;
Comprehensive safety evaluation unit, for providing safety evaluation and aid decision making according to described abnormal cause.
(3) beneficial effect
The invention provides a kind of APU and method of dam monitoring data, the present invention comprehensively analyzes dam monitoring data, Comprehensive Evaluation dam quality safety timely and accurately, and determine the impact on the intensity of anomaly that dam causes according to the abnormal cause found, the suggestion of aid decision making measure is proposed according to abnormal cause and intensity of anomaly, realize promptly and accurately analyzing Dam safety state, and provide corresponding measure.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is the analysis and processing method process flow diagram of a preferred embodiment dam monitoring data in the present invention;
Fig. 2 is the process flow diagram of step S5 in the analysis and processing method of a preferred embodiment dam monitoring data in the present invention;
Fig. 3 is the structural representation of the APU of a preferred embodiment dam monitoring data in the present invention.
Embodiment
Below in conjunction with drawings and Examples, the present invention is described in further detail.Following examples for illustration of the present invention, but can not be used for limiting the scope of the invention.
Fig. 1 is the analysis and processing method process flow diagram of a preferred embodiment dam monitoring data in the present invention; Described method comprises:
S1, acquisition dam quality monitoring raw data;
S2, the validity of each data in described dam quality monitoring raw data to be marked;
S3, be labeled as effective data in described step S2, carry out anomaly data detection, find abnormality detection point;
S4, the described abnormality detection point obtained for described step S3, judge whether it is produced, if not then enter step S5 by monitoring reason;
S5, physical cause analysis is carried out to described abnormality detection point, if find abnormal cause, then provide safety evaluation and aid decision making according to described abnormal cause, and export described abnormal cause, safety evaluation and aid decision making.
The present invention comprehensively analyzes dam monitoring data, Comprehensive Evaluation dam quality safety timely and accurately, and determine the impact on the intensity of anomaly that dam causes according to the abnormal cause found, the suggestion of aid decision making measure is proposed according to abnormal cause and intensity of anomaly, realize promptly and accurately analyzing Dam safety state, and provide corresponding measure.
Further, if described step S5 does not find abnormal cause, all analysiss of data (data such as namely corresponding dam quality monitoring raw data and other relevant process data) are then provided, carry out Comprehensive Evaluation for expert, and provide safety evaluation and aid decision making.
Above-mentioned expert judging refers to that applying fundamentals of fuzzy judgement by expert carries out Comprehensive Evaluation to abnormal data.Described expert should be made up of, wherein containing the authoritative expert at least 1 had wide experience the expert of the specialties such as design, construction, operation and computing machine.
Further, dam quality monitoring raw data described in Real-time Obtaining, comprises artificial survey read data and devices collect data.
Further, described step S2 is the pretreated step of Monitoring Data, and it includes but not limited to that validity marks, and concrete safety evaluation and aid decision making comprise the following steps:
For each data in described dam quality monitoring raw data, if it is in corresponding span, be labeled as effectively;
For the two kinds of data can mutually released in described dam quality monitoring raw data, the relative error range of control according to correspondence carries out Effective judgement, if the difference of described two kinds of data is in described relative error range of control, is labeled as effectively.
To state (validity) analysis and distinguishing of raw data in described step S2, rower of going forward side by side is noted, to be supplied to the more information of comprehensive analysis.Raw data has its span, and this is set by the instrument range of monitoring.This scope all must set for artificial survey read data and automatic data collection, it can get rid of some apparent misoperationes the very first time, as radix point lose, sign puts upside down, data record sequence error, obviously clerical mistake etc., or find that some measure unsuccessfully, as instrument short circuit, measure unstability etc.Simultaneously, when processing raw data, for one group of physical quantity that certain instrument records, wherein there is tittle completely relevant (as cycle and frequency, frequency and frequently mould, cycle and frequently mould etc.), belong to redundant information, can release mutually, so can verify mutually or can substitution effect be played when shortage of data.For redundant data, need to carry out validity check, a relative error controlling value is needed during general two correlatives checking, can determine according to instrument kind and instrument itself, difference as both mistakes thinks that in relative error range of control related data is consistent, then this group monitor value is effective, otherwise thinks the data of contradiction.In addition, in line with the principle of abundant Appropriate application observation data, also the state of the data defect in raw data and contradiction is marked, fully understand Data Source for during follow-up comprehensive analysis.
Further, described step S3 is tested to exceptional value by quantivative approach, monitor value and judge criterion are compared, find out abnormality detection point, and described interpretational criteria comprises Spatio-Temporal Evaluation criterion, rule interpretational criteria, monitoring model interpretational criteria, monitor control index interpretational criteria and inspection interpretational criteria.In this step, if do not find abnormality detection point, then get back to and start step S1.
Space-time is passed judgment on criterion and is mainly identified normal value, sudden change value, tendency and abnormal conditions, the Main Basis identified compares according to each Monitoring Data value and a front measured value, a front measured value of equivalent environment data (as water level, temperature etc.), eigenwert (as maximal value, minimum value), to check the rationality of the monitoring variable regularity of distribution, therefrom identify time that exceptional value occurs, position and environmental factor.
Rule is passed judgment on criterion and is mainly referred to Laws of Mechanics, according to the rule of the experimental check displacement of deterministic parsing or long-time running, distortion, ess-strain and seepage flow.
Monitoring model is passed judgment on criterion and is applicable to all observed quantities such as displacement, distortion, osmotic pressure, stress, is compared by the predicted value of measurement data and various mathematical model.
Monitor control index judge criterion refers to and is compared by the monitor control index of measurement data with the stress determined by design specifications or designing unit and osmotic pressure.
Inspection judge criterion refers to and the result of manual patrol and judgment criteria is compared, normal to judge whether.
Further, in described step S4, describedly judge that whether it be produced by monitoring reason to comprise the following steps:
To identical with the described abnormality detection point time, and be positioned at multiple detecting with the measured value of the identical monitoring variable of described abnormality detection point with reference to check point at other positions, if described multiple Monitoring Data change all without exception with reference to check point, corresponding described abnormality detection point produces by monitoring reason;
The relevant monitoring variable of described abnormality detection point and relevant environment amount are detected, if significant change or described relevant environment amount do not occur described relevant monitoring variable do not exceed the Load Combination that history occurs, then corresponding described abnormality detection point produces by monitoring reason; Wherein said relevant monitoring variable comprises the relevant monitoring variable measured value such as water level under distortion corresponding to the described abnormality detection point position identical with the described abnormality detection point time, stress, osmotic pressure, two sides, and described relevant environment amount comprises described abnormality detection point corresponding water level, temperature.
Above-mentioned is identical monitoring variable and relevant monitoring variable two inspection.Identical monitoring variable inspection is position according to exception corresponding to abnormality detection point and time, retrieve the measured value of the same time at other positions, especially the measured value of key position, if the measured value Non Apparent Abnormality change of measuring point (with reference to check point) around, then can judge that observation reason causes.Relevant monitoring variable inspection is position according to exception corresponding to abnormality detection point and time, and the relevant monitoring variable of retrieval (as distortion and stress doubtful point, inspection osmotic pressure and two sides underground water table; Osmotic pressure doubtful point, checks distortion and stress etc.) and relevant environment amount (reservoir level, temperature etc.), if relevant monitoring variable does not exceed the Load Combination of history generation without significant change or relevant environment amount, then can think to be caused by observation reason.
Further, for the described abnormality detection point in described step S4, if judged result is produced by monitoring reason for it, then carries out the inspection of recording geometry, and get back to step S1.
Further, the physical cause in described step S5 comprises extraneous physical factor and internal physical factor;
Described external physical factor comprises environmental factor; Environmental factor comprises reservoir level and temperature;
Described internal physical factor comprises displacement, distortion, stress and seepage flow.
Further, in described step S5, first analysis is carried out to described external physical factor and judge, if eliminate the impact of described external physical factor, then analysis is carried out to described internal physical factor and judge, otherwise analysis judgement is not carried out to described internal physical factor.
Further, in described step S5, describedly physical cause analysis is carried out to described abnormality detection point comprise the following steps, as shown in Figure 2:
Carry out external physical factor analysis (i.e. environment parameter analysis), judge whether the temperature that described abnormality detection point is corresponding and reservoir level occur obviously, judge whether the geographic position that described abnormality detection point is corresponding blasting operation occurred, whether earthquake occurs or takes Other Engineering measure etc.; Under judging, whether water level there is significant change, obtains the environmental factor affecting described abnormality detection point;
The dam foundation is analyzed, and analyzes under the effect of described environmental factor, and whether the dam foundation (especially main slip-crack surface and geologic structure face) of described abnormality detection point distortion occurred or slides, and whether curtain or the draining of described abnormality detection point be impaired;
Dam body is analyzed, and at the described dam foundation, distortion occurred or slided, and when described curtain or impaired drainage, whether the dam body analyzing described abnormality detection point excessive deformation or crack occurs, and find the abnormal cause corresponding to described external physical factor;
Obtain external cause corresponding to abnormality detection point by step above, if create described abnormality detection point by external cause, then direct intensity of anomaly and the aid decision making determining correspondence according to external cause, were it not for, and external cause produces, then analyze internal cause, carry out step below.
Carry out internal physical factor analysis (i.e. internal factor analysis), analyze the change of the structure in geographic position corresponding to described abnormality detection point, displacement, distortion, stress and seepage flow, obtain the abnormal cause corresponding to internal physical factor, produce abnormal quantitative achievement.If the internal cause of determining, then create described abnormality detection point by internal cause, then direct intensity of anomaly and the aid decision making determining correspondence according to internal cause.If do not find internal cause, then do not find abnormal cause, all analysiss of data (data such as namely corresponding dam quality monitoring raw data and other relevant process data) are then provided, carry out Comprehensive Evaluation for expert, and provide safety evaluation and aid decision making.
Further, in described step S5, describedly provide safety evaluation according to described abnormal cause and aid decision making comprises the following steps:
Determine to obtain described safety evaluation by its intensity of anomaly caused dam according to described abnormal cause;
Abnormal cause according to described intensity of anomaly and correspondence determines corresponding aid decision making.
Provide general safety evaluation and the aid decision making of dam according to the influence degree (intensity of anomaly) of abnormal conditions to dam work condition of abnormal cause and abnormality detection point in step S5 described above, distortion in its Main Basis design standards, intensity, steady operation condition and the safety index such as seepage flow, landslide, reservoir area, when wherein one does not reach standard and is disease dam or dangerous dam.If when being judged as disease dam or dangerous dam, propose the suggestion for aid decision making for Problems existing, propose emergency measure and alert levels, and whole result is exported.
The APU of the present invention's also a kind of dam monitoring data, as shown in Figure 3, described device utilizes said method to carry out analyzing and processing, and described device comprises:
Monitoring Data perception acquiring unit, for obtaining dam quality monitoring raw data, and passes to Monitoring Data pretreatment unit;
Monitoring Data pretreatment unit, the validity for each data in the described dam quality monitoring raw data that receives it marks, and the data after process are passed to anomaly data detection unit;
Anomaly data detection unit, carries out anomaly data detection for the effective data that are labeled as received it, finds abnormality detection point, and pass to Anomaly causation analysis unit;
Anomaly causation analysis unit, for judging whether described abnormality detection point is produced, if not then carry out physical cause analysis to described abnormality detection point, if find abnormal cause that described abnormal cause is passed to comprehensive safety evaluation unit by monitoring reason;
Comprehensive safety evaluation unit, for providing safety evaluation and aid decision making according to described abnormal cause.
Quantitative test and qualitative analysis can combine by method and apparatus of the present invention, dam monitoring data is comprehensively analyzed, and the unsafe factor (abnormal cause, intensity of anomaly) found is proposed to the suggestion of aid decision making measure, realize real-time analysis Dam safety state.
Compared with prior art, complexity and special problem that the present invention uses knowledge and inference step to process to only have expert to solve, these problems are insoluble by traditional Programming Methodology.The present invention highlights the value of knowledge, greatly reduces the cost of knowledge-transference and application, makes the knowledge of expert be transformed into rapidly the wealth of society.
Above embodiment is only for illustration of the present invention, but not limitation of the present invention.Although with reference to embodiment to invention has been detailed description, those of ordinary skill in the art is to be understood that, various combination, amendment or equivalent replacement are carried out to technical scheme of the present invention, do not depart from the spirit and scope of technical solution of the present invention, all should be encompassed in the middle of right of the present invention.
Claims (10)
1. an analysis and processing method for dam monitoring data, is characterized in that, described method comprises:
S1, acquisition dam quality monitoring raw data;
S2, the validity of each data in described dam quality monitoring raw data to be marked;
S3, be labeled as effective data in described step S2, carry out anomaly data detection, find abnormality detection point;
S4, the described abnormality detection point obtained for described step S3, judge whether it is produced, if not then enter step S5 by monitoring reason;
S5, physical cause analysis is carried out to described abnormality detection point, if find abnormal cause, then provide safety evaluation and aid decision making according to described abnormal cause.
2. method according to claim 1, is characterized in that, described dam quality monitoring raw data comprises artificial survey read data and devices collect data.
3. method according to claim 1, is characterized in that, in described step S2, validity mark comprises the following steps:
For each data in described dam quality monitoring raw data, if it is in corresponding span, be labeled as effectively;
For the two kinds of data can mutually released in described dam quality monitoring raw data, the relative error range of control according to correspondence carries out Effective judgement, if the difference of described two kinds of data is in described relative error range of control, is labeled as effectively.
4. method according to claim 1, it is characterized in that, in described step S3, Utilization assessment criterion carries out anomaly data detection, and described interpretational criteria comprises Spatio-Temporal Evaluation criterion, rule interpretational criteria, monitoring model interpretational criteria, monitor control index interpretational criteria and inspection interpretational criteria.
5. method according to claim 1, is characterized in that, in described step S4, describedly judges that whether it be produced by monitoring reason to comprise the following steps:
To identical with the described abnormality detection point time, and be positioned at multiple detecting with the measured value of the identical monitoring variable of described abnormality detection point with reference to check point at other positions, if described multiple Monitoring Data change all without exception with reference to check point, then corresponding described abnormality detection point produces by monitoring reason;
The relevant monitoring variable of described abnormality detection point and relevant environment amount are detected, if significant change or described relevant environment amount do not occur described relevant monitoring variable do not exceed the Load Combination that history occurs, then corresponding described abnormality detection point produces by monitoring reason; Wherein said relevant monitoring variable comprises the relevant monitoring variable measured value such as water level under distortion corresponding to the described abnormality detection point identical with the described abnormality detection point time, stress, osmotic pressure, two sides, and described relevant environment amount comprises described abnormality detection point corresponding reservoir level, temperature.
6. method according to claim 1, is characterized in that, the physical cause in described step S5 comprises extraneous physical factor and internal physical factor;
Described external physical factor comprises environmental factor;
Described internal physical factor comprises displacement, distortion, stress and seepage flow.
7. method according to claim 6, it is characterized in that, in described step S5, first carry out analysis to described external physical factor to judge, if eliminate the impact of described external physical factor, then carry out analysis to described internal physical factor to judge, otherwise analysis judgement is not carried out to described internal physical factor.
8. method according to claim 6, is characterized in that, in described step S5, describedly carries out physical cause analysis to described abnormality detection point and comprises the following steps:
Carry out external physical factor analysis, judge whether the temperature that described abnormality detection point is corresponding and reservoir level occur obviously, judge whether the geographic position that described abnormality detection point is corresponding blasting operation occurred, whether earthquake occurs; Under judging, whether water level there is significant change, obtains the environmental factor affecting described abnormality detection point;
Analyze under the effect of described environmental factor, whether the dam foundation of described abnormality detection point there is distortion or slided, and whether curtain or the draining of described abnormality detection point be impaired;
At the described dam foundation, distortion occurred or slided, and when described curtain or impaired drainage, whether the dam body analyzing described abnormality detection point there is excessive deformation or crack, finds the abnormal cause corresponding to described external physical factor;
Carry out internal physical factor analysis, analyze the change of the displacement of described abnormality detection point, distortion, stress and seepage flow, obtain the abnormal cause corresponding to internal physical factor.
9. method according to claim 1, is characterized in that, in described step S5, describedly provides safety evaluation according to described abnormal cause and aid decision making comprises the following steps:
Determine to obtain described safety evaluation by its intensity of anomaly caused dam according to described abnormal cause;
Abnormal cause according to described intensity of anomaly and correspondence determines corresponding aid decision making.
10. an APU for dam monitoring data, is characterized in that, described device utilizes method described in described any one of claim 1 to 9 to carry out analyzing and processing, and described device comprises:
Monitoring Data perception acquiring unit, for obtaining dam quality monitoring raw data, and passes to Monitoring Data pretreatment unit;
Monitoring Data pretreatment unit, the validity for each data in the described dam quality monitoring raw data that receives it marks, and the data after process are passed to anomaly data detection unit;
Anomaly data detection unit, carries out anomaly data detection for the effective data that are labeled as received it, finds abnormality detection point, and pass to Anomaly causation analysis unit;
Anomaly causation analysis unit, for judging whether described abnormality detection point is produced, if not then carry out physical cause analysis to described abnormality detection point, if find abnormal cause that described abnormal cause is passed to comprehensive safety evaluation unit by monitoring reason;
Comprehensive safety evaluation unit, for providing safety evaluation and aid decision making according to described abnormal cause.
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