Dam operation safety online monitoring system construction method and system

Abstract

The invention relates to the technical field of hydraulic engineering monitoring and control, and discloses a dam operation safety online monitoring system construction method and system, and the method comprises the steps: collecting data, and carrying out the data collection and collection, and data processing and analysis; establishing a plurality of abnormity identification models, identifying abnormity of monitoring data and inspection results, and analyzing safety and stability of the dam structure; dam safety risks are identified, and dam safety conditions are comprehensively judged; the dam operation safety information is sent to set related users through a communication means; and associating the safety monitoring information, the inspection result and the safety analysis result of the dam with the three-dimensional model of the dam structure project, and dynamically displaying the operation state of the dam in real time. According to the method, in a unified logic framework, real-time explicit reflection and measurement of time sequence monitoring data on the dynamic model calibration effect are achieved, and then online calibration of a dam structure model and online review of structure safety are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of water conservancy project monitoring and control, and particularly to a construction method and system for an online monitoring system for the operation safety of a dam. Background Art

[0002] The first-class dam is a comprehensive water conservancy project consisting of a barrage dam, a secondary dam, a water diversion system, an underground power house, etc. The dam adopts a design of connecting a concrete wide joint gravity dam and an earth-rock dam, has an overflow dam section and a spillway hole, and has a certain flood control capacity. According to the technical specifications of the online monitoring system for the operation safety of the dam, the online monitoring of the operation safety of the dam mainly includes functions such as online management, online analysis, and online feedback.

[0003] The construction idea of the online monitoring system for the operation safety of the first-class power station dam includes system upgrade, construction of the online monitoring system, and overall deployment principles. The design and construction of the online monitoring system should be upgraded and improved in combination with the existing system to meet the requirements of being scientific, reasonable, advanced, efficient, safe, and practical. Specifically, it is reflected in the following aspects: aiming at the actual situation of the company, improving the management level, taking into account overall and regional management. Having forward-looking, innovative, and expandable features, improving the work process, and forming an efficient management mode. On the basis of the existing network security, taking necessary information and network security measures to ensure the stable and reliable operation of the system, and being convenient for operation and maintenance. Summary of the Invention

[0004] In view of the above existing problems, the present invention is proposed.

[0005] Therefore, the present invention provides a construction method for an online monitoring system for the operation safety of a dam, which integrates artificial intelligence, big data processing technology, and fast structural simulation calculation technology to perform online calibration of the structural model and online review of structural safety. It is formed by re-logical architecture, method integration, and technical complementarity on the basis of overcoming the one-sidedness and fragmentation of existing research results and technologies. This technology realizes the real-time explicit manifestation and measurement of the calibration effect of the dynamic model by the time-series monitoring data within a unified logical framework, and further achieves the online calibration of the dam structural model and the online review of structural safety.

[0006] To solve the above technical problems, the present invention provides the following technical solution, a construction method for an online monitoring system for the operation safety of a dam, including: data collection and aggregation to obtain a first aggregated data set; obtaining corresponding anomaly recognition results according to the first aggregated data set; judging the safety status of the dam according to the anomaly recognition results, and displaying the operation status.

[0007] As a preferred solution of a method for constructing an on-line monitoring system for the operation safety of a dam according to the present invention, the following is included: the obtaining of the first aggregated data set includes regularly uploading data through an interface, automatically collecting data of sensors by using intelligent collection devices, and transmitting the data to the database of the central station server;

[0008] Using a positioning system to automatically monitor construction data;

[0009] Using high-definition video image collection devices to automatically collect video images of key parts in a fixed and mobile manner.

[0010] As a preferred solution of a method for constructing an on-line monitoring system for the operation safety of a dam according to the present invention, after the obtaining of the first aggregated data set, data processing and data analysis are further included;

[0011] Through direct operation by the system, data processing includes data query, data calculation, data review, determination of measured value status, data modification, and at the same time, the database synchronously records relevant information of data processing;

[0012] Data analysis includes data analysis functions, and the data analysis form meets the specification requirements for the analysis of monitoring data materials, including trend analysis, correlation analysis, and comparison analysis.

[0013] As a preferred solution of a method for constructing an on-line monitoring system for the operation safety of a dam according to the present invention, the obtaining of the corresponding anomaly identification result includes establishing an anomaly identification model to identify anomalies in monitoring data and inspection results, and analyzing the structural safety and stability of the dam;

[0014] Setting anomaly judgment rules, including definitions of monitoring anomalies, inspection anomalies, safety degree anomalies, and structural anomalies, and the anomaly identification model includes a statistical model, a finite element simulation calculation, a hybrid model, and a structural rapid feedback model.

[0015] As a preferred solution of a method for constructing an on-line monitoring system for the operation safety of a dam according to the present invention, the statistical model includes a statistical model for the horizontal displacement monitoring data of a concrete dam, a horizontal displacement statistical model of an earth-rock dam, and a statistical model of the seepage flow of a dam.

[0016] As a preferred solution of a method for constructing an on-line monitoring system for the operation safety of a dam according to the present invention, the obtaining of the corresponding anomaly identification result further includes setting state intervals for each monitoring measuring point for the real-time uploaded monitoring data, and performing trend analysis, correlation analysis, comparison analysis, and distribution analysis;

[0017] Correlation analysis includes establishing different models, automatically obtaining various factor values according to different models respectively, conducting statistical analysis on historical observations of measuring points, establishing correlation relationships, analyzing the correlation of measuring points, calculating correlation coefficients, and fitting measured values;

[0018] Comparative analysis includes comparing the current measured values with the previous or several previous measured values; comparing with the measured values of adjacent measuring points; comparing with multiple measured values under the same conditions in history; comparing with the maximum and minimum values in history; and comparing with the measured values of other corresponding items and corresponding measuring points;

[0019] Distribution analysis includes conducting statistical analysis on historical observed values of measuring points when considering the spatial distribution factors of monitored quantities, and checking the data change conditions of the overall cross-section in various directions;

[0020] While conducting various analyses on the monitoring data of measuring points, establish safety evaluation indicators to complete the safety monitoring of the overall state of the dam.

[0021] As a preferred scheme of a method for constructing an on-line safety monitoring system for dam operation according to the present invention, wherein: judging the safety status of the dam includes the normal, early warning, and alarm of the dam, and the judgment criteria are various judgment indicators such as the integrity rate of automatic monitoring data, the integrity rate of manual monitoring data, the effective data inspection rate, the operation rate of the monitoring automation system, the completion rate of patrol inspections, and the timely report upload rate, as well as the results of structural safety review, slope stability review, and flood review based on monitoring data;

[0022] Send the dam operation safety information to the set relevant users by means of communication. Among them, the dam operation safety information includes videos, images, and documents; the information content allows the on-line monitoring system management personnel to export from the system and perform editing, modification, and supplementation operations; at the same time, users can be added and deleted, and group push, independent push, timed push, and immediate push of messages are supported;

[0023] Associate the safety monitoring information, patrol inspection results, and safety analysis results of the dam with the three-dimensional model of the dam structure project, display the dam operation status in real time and dynamically, show the process of the dam operating safely, and comprehensively predict, analyze, evaluate, and demonstrate the dam safety.

[0024] Another object of the present invention is to provide a system for constructing an on-line safety monitoring system for dam operation, which can effectively monitor the operation status of the dam, timely detect abnormalities, and take measures to ensure the safety of the dam.

[0025] As a preferred scheme of a system for constructing an on-line safety monitoring system for dam operation according to the present invention, wherein: it includes a data acquisition and aggregation module, a data processing and analysis module, an anomaly identification module, a safety judgment and information release module, and a system management and maintenance module;

[0026] The data acquisition and aggregation module regularly uploads data, automatically collects sensor data, transmits it to the central station server database, automatically monitors construction data, and collects video images of key parts.

[0027] The data processing and analysis module queries, calculates, audits, determines the status, modifies the aggregated data, and conducts data analysis to meet the requirements of the monitoring data analysis specification.

[0028] The anomaly identification module establishes an anomaly identification model, identifies anomalies in monitoring data and inspection results, and analyzes the structural safety and stability of the dam.

[0029] The safety evaluation and information release module evaluates the safety status of the dam according to the evaluation criteria and sends safety information to relevant users through communication means.

[0030] The system management and maintenance module is responsible for the configuration, maintenance, upgrade, and user permission management of the entire system.

[0031] A computer device includes a memory and a processor. The memory stores a computer program. It is characterized in that when the processor executes the computer program, the steps of a method for constructing an online monitoring system for the safe operation of a dam are implemented.

[0032] A computer-readable storage medium stores a computer program. It is characterized in that when the computer program is executed by a processor, the steps of a method for constructing an online monitoring system for the safe operation of a dam are implemented.

[0033] The beneficial effects of the present invention: The design and construction of the online monitoring system should be combined with the existing dam safety monitoring automation system of the power station and the current situation of the group's dam management system, and be upgraded and improved on the basis of the existing functions, and meet the high requirements of being scientific, reasonable, advanced, efficient, safe, and practical.

[0034] In view of the actual situation of the existing dam safety management work and reflecting the laws of the dam safety management work. Taking into account the overall management of the group company, regional centralized management, and the management of under-construction and operating hydropower plants, improving the management level in all aspects. Based on the domestic current situation and facing the future development direction, having a certain degree of forward-looking, innovative, and expandable. Improving the dam safety management work process or method of the company to form an efficient working method and management mode.

[0035] On the basis of the existing network security, necessary information and network security measures are taken. The system has a strong human-machine interface function, simple, convenient, and flexible operation and control, easy to operate, manage, and maintain. While ensuring technical indicators such as the real-time performance and reliability of the system, the system has good maintainability. Paying attention to the stable and reliable operation of the system and the actual application effect, convenient to establish and use. Brief Description of the Drawings

[0036] To more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings. Among them:

[0037] Figure 1 It is a schematic flowchart of a method for constructing an on-line monitoring system for dam operation safety provided by an embodiment of the present invention.

[0038] Figure 2 It is a schematic diagram of error and abnormal data of a method for constructing an on-line monitoring system for dam operation safety provided by an embodiment of the present invention.

[0039] Figure 3 It is a schematic diagram of an abnormal recognition and early warning model of a method for constructing an on-line monitoring system for dam operation safety provided by an embodiment of the present invention.

[0040] Figure 4 It is a schematic diagram of an abnormal recognition trend early warning of a method for constructing an on-line monitoring system for dam operation safety provided by an embodiment of the present invention.

[0041] Figure 5 It is a schematic diagram of finite element analysis of a method for constructing an on-line monitoring system for dam operation safety provided by an embodiment of the present invention.

[0042] Figure 6 It is a schematic diagram of three-dimensional visualization display of dam operation results of a method for constructing an on-line monitoring system for dam operation safety provided by an embodiment of the present invention.

[0043] Figure 7 It is a schematic diagram of the working modules of a system for constructing an on-line monitoring system for dam operation safety provided by an embodiment of the present invention.

[0044] Figure 8 It is an architecture diagram of a dam management system of a system for constructing an on-line monitoring system for dam operation safety provided by an embodiment of the present invention. Detailed Embodiments

[0045] To make the above objects, features, and advantages of the present invention more obvious and understandable, the following will make a detailed description of the specific embodiments of the present invention in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0046] In the following description, many specific details are set forth in order to provide a thorough understanding of the present invention. However, the present invention may be practiced in other ways different from those described herein. Those skilled in the art can make similar extensions without departing from the connotation of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0047] Secondly, the so-called "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation manner of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it an embodiment that is separate or selectively exclusive of other embodiments.

[0048] The present invention will be described in detail in conjunction with schematic diagrams. When detailing the embodiments of the present invention, for ease of explanation, the cross-sectional views showing the device structure will be enlarged locally out of the general proportion, and the schematic diagrams are only examples and should not limit the scope of protection of the present invention herein. In addition, in actual production, three-dimensional spatial dimensions including length, width, and depth should be included.

[0049] At the same time, in the description of the present invention, it should be noted that the orientation or positional relationship indicated by terms such as "upper, lower, inner, and outer" is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation to the present invention. In addition, the terms "first, second, or third" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance.

[0050] Unless otherwise clearly defined and limited in the present invention, the terms "installed, connected, and coupled" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can also be a mechanical connection, an electrical connection, or a direct connection, and can also be indirectly connected through an intermediate medium, or can be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0051] Example 1, referring to Figures 1 - 4 , is the first embodiment of the present invention. This embodiment provides a method for constructing an online monitoring system for the safe operation of a dam, including:

[0052] S1: Data collection and aggregation to obtain the first aggregated data set.

[0053] Furthermore, in order to improve the overall reliability of dam safety monitoring data collection, reduce the workload and working intensity of hydraulic engineers, and enhance the management and control level of dam safety operation, the system needs to have the function of aggregating different data, including:

[0054] Appearance data collection: Appearance automation data regularly uploads data through an interface every day by triggering the interface, and conducts preliminary analysis and review of the data, etc.

[0055] Internal view sensor data collection: Mainly uses intelligent acquisition devices to automatically collect data of sensors such as deformation, seepage flow, stress and strain buried inside the dam body, powerhouse, and left and right bank slopes, and transmits the data to the central station server database.

[0056] Water regime data collection: The items to be connected in the water regime system include rainfall at the dam site, water level upstream of the dam, tail water level, inflow and outflow discharge, flood discharge, etc.

[0057] Slope deformation monitoring: Adopts a GNSS system or a total station robotic system based on global satellite positioning technology to automatically monitor the surface deformation of the left and right bank slopes, including the construction of reference points and measuring points and data collection, power supply, communication, lightning protection and other equipment and their installation.

[0058] Inspection information collection: Utilizes high-definition video image acquisition devices, in fixed and mobile ways, to assist in realizing the dam inspection function. It includes screening and using existing industrial TV video cameras on the dam top, adding some high-definition pan-tilt cameras, unmanned aerial vehicles, and individual equipment (inspection pads or mobile phones), etc., to automatically collect video images of key parts of the power station such as the upstream and downstream surfaces of the dam body, the reservoir surface near the dam, the tail water channel, and the high slopes of the dam shoulders.

[0059] Other projects: Mainly integrate and connect data of strong earthquake systems, hydrodynamic monitoring, water quality monitoring, etc. into the system.

[0060] S2: Obtain the corresponding anomaly recognition results according to the first collection data set.

[0061] Furthermore, after obtaining the first collection data set, it also includes data processing and data analysis;

[0062] Through direct operation of the system, data processing includes data query, data calculation, data review, determination of measured value status, data modification, and at the same time, the database synchronously records relevant information of data processing;

[0063] Data analysis includes data analysis functions, and the data analysis form meets the specification requirements for the analysis of monitoring data materials, including trend analysis, correlation analysis, and comparative analysis.

[0064] It should be noted that data processing is directly operated through the system. The data processing module includes functions such as data query, data calculation, data review, determination of measured value status, data modification, etc. At the same time, the database should synchronously record relevant information of data processing, including processing time, personnel, type, etc.

[0065] Data calculation: You can set the calculation formula as needed, and perform real-time, timed, or manual calculations based on the formula, and carry out data correlation calculations between different points.

[0066] Manual review of measured values: Check manual data and automated data, review and confirm the correct data during the review process, cancel the review of abnormal data, and fail the review. This part of the data will be transferred to abnormal processing. The system has the function of manual and automatic data review and measurement status judgment, and the review and judgment conditions can be set and adjusted.

[0067] Collection exception processing: Processing of abnormal data, data not uploaded, and erroneous data collected, including deletion, modification of manual data, elimination of single component measurements, review and confirmation, and re-collection.

[0068] The data status should include unreviewed, reviewed, and failed.

[0069] The measurement status includes correct, abnormal warning, error, missing data, etc. Error and abnormal data can be found in Figure 2 shown.

[0070] Data analysis includes data analysis functions, and the form of data analysis should meet the standard requirements for dam monitoring data analysis, including trend analysis, correlation analysis, comparative analysis, etc.

[0071] Data analysis has the functions of manual analysis and system automatic analysis, including statistical analysis and monitoring data trends.

[0072] Data analysis should have the function of correlation analysis, establish different models, and automatically obtain various factor values according to different models, conduct statistical analysis on historical observations of measuring points, establish correlation relationships, analyze the correlation of measuring points, calculate correlation coefficients, and fit the measured values.

[0073] Data analysis should have the function of automatic comparison of monitoring values, including: comparing the current measured value with the last or previous measured values; comparing with the measured values of adjacent measuring points; comparing with multiple measured values under the same historical conditions (such as water level, temperature, etc.); comparing with the historical maximum and minimum values; comparing with the measured values of other corresponding projects and corresponding measuring points; comparing with the results of design, calculation, and model tests; comparing with dam safety control indicators; comparing with predicted measured values, etc.

[0074] A correlation between dam environmental quantities and dam structural effects is established. Based on this correlation, conditional prediction (mainly prediction of dam structural effects under given future dam environmental quantities and other conditions) and conditional testing (mainly testing the stability of the relationship under similar dam environmental quantities and other conditions, and using this stability to measure the stability of the dam structure) can be carried out.

[0075] Further, obtaining the corresponding abnormal recognition results includes establishing an abnormal recognition model to identify the abnormalities in the monitoring data and inspection results, and analyzing the structural safety and stability of the dam.

[0076] Set abnormal judgment rules, including the definition of monitoring abnormalities, inspection abnormalities, safety degree abnormalities, and structural abnormalities. The abnormal recognition model includes statistical models, finite element simulation calculations, hybrid models, and structural rapid feedback models.

[0077] Abnormal recognition is one of the important contents and functions of the dam operation safety online monitoring system, mainly including the abnormal recognition of monitoring data and the abnormal recognition of inspection results. The abnormalities of the dam structure will be largely reflected in the abnormalities of the time series characteristics of some monitoring data, as well as the abnormal manifestations found in inspections such as surface deformation, seepage, and cracks.

[0078] At present, there are mainly problems in data anomaly recognition, such as the huge amount of dam safety monitoring data, large manual judgment workload, poor timeliness, high false judgment and missed judgment rates of the threshold method, and it is difficult to identify non-structural abnormalities induced by instrument failures and environmental quantity changes, resulting in poor reliability and effectiveness of early warnings. In addition, there are limitations in the professional capabilities of inspection personnel and inspection means, and some abnormal manifestations of the dam cannot be discovered in time.

[0079] Therefore, multiple abnormal recognition models should be established for abnormal recognition, and abnormal judgment rules can be set, including the definition of monitoring abnormalities, inspection abnormalities, safety degree abnormalities, structural abnormalities, etc. The abnormal recognition model should include the maximum and minimum value model, trend analysis model, statistical model, neural network model, finite element model, etc.

[0080] The schematic diagram of the abnormal recognition and early warning model is shown in Figure 3 As shown, the schematic diagram of the abnormal recognition trend early warning is shown in Figure 4 As shown.

[0081] (1) Statistical model

[0082] It should have the function of creating a statistical model. The statistical model should be able to provide various qualitative and quantitative analysis methods for monitoring data, give the change relationship between the monitored quantity and the causal quantity, and calculate the predicted value of the monitored quantity.

[0083] ① Statistical model for the horizontal (vertical, joint, and crack) displacement monitoring data of concrete dams:

[0084]

[0085] In the formula: δ is the displacement; a li is the regression coefficient of the water pressure factor; H1, H 10are the water heads corresponding to the monitoring date and the initial measurement date, for the arch dam, joints and cracks \(i = 1 - 4\), and for the rest \(i = 1 - 3\);

[0086] b i is the regression coefficient of the temperature factor; \(T\) i respectively represent the average air temperatures within the day of observation, and the previous 1, 3, 7, 15, 30, (45, ) 60, 90, 120 days; \(m = 6 - 10\) (optimized according to the specific project situation, sometimes more selections will reduce the fitting accuracy); \(T\) i0 respectively represent the average air temperatures within the day of the initial measurement date, ……, 120 days;

[0087] \(c_1\), \(c_2\) are the regression coefficients of the aging factor; \(\theta\) is the cumulative number of days \(t\) from the displacement monitoring date to the initial measurement date divided by 100; \(\theta_0\) is the cumulative number of days \(t_0\) from the first measurement date of the modeling data series to the initial measurement date divided by 100; \(a_0\) is the constant term.

[0088] ② Statistical model for the horizontal displacement (settlement) of an earth-rock dam:

[0089]

[0090] In the formula: \(a\) 2i is the regression coefficient of the water pressure factor; are the average water heads on the monitoring date and the \(i\) days before the initial measurement date (generally, the average values within the previous 1, 5, 15, 30, 60 days, etc. can be taken); \(c\) i is the regression coefficient of the precipitation factor; \(P\) i、 P i0 are the average precipitations on the monitoring date, the day of the initial measurement date, the previous 1 day, the previous 3 days, the previous 7 days, the previous 15 days, the previous 30 days, etc. The meanings of the other symbols are the same as above.

[0091] ③ Statistical model for the seepage flow rate of the dam:

[0092]

[0093] In the formula: \(Q\) is the seepage flow rate; are the average water heads on the monitoring date and the previous 1 day, the previous 5 days, the previous 15 days, the previous 30 days before the initial measurement date; \(P\) i、 P i0 are the average precipitations on the monitoring date, the day of the initial measurement date, the previous 1 day, the previous 3 days, the previous 7 days, the previous 15 days (the previous 30 days, etc. can also be selected according to the specific project situation) before the initial measurement date. The meanings of the other symbols are the same as above.

[0094] ④ Statistical models for the uplift pressure (seepage pressure) of the dam and the seepage water level around the dam:

[0095]

[0096] Where: H is the water level in the hole; h1 and h 10 are the water levels corresponding to the monitoring date and the initial measurement date respectively; hi and hi0 are the average water levels on the monitoring date, 1 day before, 5 days before, 15 days before, and 30 days before the initial measurement date respectively. The meanings of the other symbols are the same as above.

[0097] S3: Evaluate the dam safety status according to the abnormal recognition results and display the operation status.

[0098] Furthermore, by using information technology, digital technology, and intelligent technology and means, on the basis of reasonably identifying, analyzing, and rating the dam safety risks, comprehensively applying active risk control methods such as risk avoidance and risk transfer and emergency response measures and other active and passive risk control methods, establish a perfect dam risk control system.

[0099] The comprehensive evaluation status of the dam safety mainly includes the normal, warning, and alarm of the dam. The evaluation criteria mainly include various evaluation indicators such as the integrity rate of automated monitoring data, the integrity rate of manual monitoring data, the effective data inspection rate, the operation rate of the monitoring automation system, the inspection completion rate, and the report upload timeliness rate, as well as the results of structural safety review, slope stability review, flood review, etc. based on the monitoring data;

[0100] Send the dam operation safety information to the set relevant users by means of communication. Among them, the dam operation safety information can include forms such as videos, images, and documents; the information content allows the online monitoring system managers to export from the system and perform operations such as editing, modifying, and supplementing; at the same time, users can be added and deleted, and group push, independent push, timed push, and timely push of messages are supported;

[0101] Visualization of the operation status, that is, by associating the dam safety monitoring information, inspection results, and safety analysis results with the three-dimensional model of the dam structure project, realizing the dynamics and real-time nature of the three-dimensional scene and the dam safety monitoring model, displaying the dam operation status in real time and dynamically, vividly showing the process of the dam safe operation, so as to comprehensively predict, analyze, evaluate, and demonstrate the dam safety. In addition, through the processing of the three-dimensional model, various results such as slope maps, contour maps, cross-section maps, and three-dimensional perspective views can be generated. See the schematic diagram of the three-dimensional visualization display of the dam operation results in Figure 5 shown.

[0102] Example 2, referring to Figure 6 , which is an embodiment of the present invention, provides a method for constructing an online monitoring system for dam operation safety. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through experiments.

[0103] Simulation-based engineering science has become a new high ground for engineering and technology competition among countries in the future. Simulation is the process of designing a model for a real system and conducting experiments based on this model to understand the system's behavior or evaluate various strategies for the system's operation. Narrowly speaking, the purpose or product of dam safety monitoring is also to obtain a simulation model that can well reflect the actual information (behavior) of the dam system (i.e., the encoding process from the actual dam system to the model), and then to insight into the mysteries of the real dam system (i.e., the decoding process from the model to the actual dam system). It is advisable to establish a finite element analysis model, establish a parameter inversion model and a calculation analysis model based on the dam operation data, and predict and analyze the dam deformation according to the predicted environmental factors. The schematic diagram of the finite element analysis is shown in Figure 6 as follows.

[0104] Due to its simple formula and fast calculation speed, the statistical model is the most commonly used method in current dam safety monitoring and analysis. However, the statistical model does not consider actual physical parameters and cannot well combine with the actual structural behavior of the dam system. In contrast, the deterministic model can effectively consider the operation performance of the structure by calculating the water pressure component and temperature component through the finite element method, but the finite element calculation of the temperature component is relatively complex. In comparison, the hybrid model uses the finite element method to calculate the water pressure component, and the other components still follow the factor selection method of the statistical model, integrating the advantages of the statistical model and the deterministic model, and can effectively reflect the functional relationship between dam deformation, evolution of dam building materials and environmental factors.

[0105] The calculation content of the structural rapid feedback model includes two parts: dam body stress and deformation and structural stability. For dam body stress and deformation, the finite element method is preferably used, and the calculation results of stress and deformation should be equivalently processed and converted in the radial and tangential directions, and the results are expressed in absolute values and change values; for arch abutment stability, the rigid body limit equilibrium method is used.

[0106] The calculation model should be built according to the as-built drawings, reflecting the actual dam foundation excavation situation, treatment situation and shape situation; the model should also reflect geological defects such as dam foundation fault fracture zones and defects such as structural cracks in the dam body concrete. The loads and combinations should use the measured loads and combinations. Mechanical parameters such as material elastic modulus (modulus of variation) and linear expansion coefficient should be inversed as much as possible according to the measured strain and deformation monitoring data of the arch dam, and determined after comprehensively considering the test results and the values of similar projects.

[0107] The structural calculation should be able to give the evaluation conclusion of arch abutment stability and the calculation results of dam stress and deformation in real time and quickly, so as to evaluate the structural safety degree and serve as one of the multi-source information for comprehensive evaluation of dam safety. At the same time, tasks can also be manually created separately to initiate more refined structural calculations. In addition, in order to simulate possible newly added defects (such as structural cracks in the dam body), the model should also be able to facilitate users to modify quickly.

[0108] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and all of them should be covered by the scope of the claims of the present invention.

[0109] Embodiment 3, the third embodiment of the present invention, which is different from the previous two embodiments in that:

[0110] If the above functions are implemented in the form of software function units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such an understanding, the essence of the technical solution of the present invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs that can store program codes.

[0111] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a definite sequence list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch instructions from the instruction execution system, apparatus, or device and execute the instructions), or in combination with these instruction execution systems, apparatuses, or devices. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.

[0112] More specific examples (non-exhaustive list) of computer-readable media include the following: electrical connections (electronic devices) with one or more wirings, portable computer disk cartridges (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber devices, and portable compact disc read-only memory (CDROM). Additionally, the computer-readable media can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other media, then editing, interpreting, or processing it in other suitable ways as necessary, and then storing it in a computer memory.

[0113] It should be understood that the various parts of the present invention can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one or a combination of the following techniques well known in the art can be used: discrete logic circuits having logic gate circuits for implementing logical functions on data signals, application-specific integrated circuits having suitable combinational logic gate circuits, programmable gate arrays (PGA), field programmable gate arrays (FPGA), etc.

[0114] Example 4, referring to Figure 7 and Figure 8 , which is an embodiment of the present invention, provides a construction system for an online monitoring system for the operation safety of a dam, characterized in that it includes a data acquisition and aggregation module 1, a data processing and analysis module 2, an anomaly identification module 3, a safety evaluation and information release module 4, and a system management and maintenance module 5;

[0115] The data acquisition and aggregation module 1 regularly uploads data, automatically acquires sensor data, transmits it to the central station server database, automatically monitors construction data, and acquires video images of key parts;

[0116] Sub-modules:

[0117] Interface upload unit: Regularly uploads data.

[0118] Intelligent acquisition unit: Automatically acquires sensor data.

[0119] Data transmission unit: Transmits the acquired data to the central station.

[0120] Positioning monitoring unit: Monitors construction data using a positioning system.

[0121] Video image acquisition unit: Acquires videos of key parts in fixed and mobile ways.

[0122] The data processing and analysis module 2 queries, calculates, audits, determines the status, modifies the collected data, and conducts data analysis to meet the requirements of the monitoring data analysis specification;

[0123] Sub-module:

[0124] Data operation unit: Directly operate data processing.

[0125] Database record unit: Record information related to data processing.

[0126] Trend analysis unit: Analyze the data change trend.

[0127] Correlation analysis unit: Establish a model to analyze the correlation of measurement points.

[0128] Comparison analysis unit: Compare with historical or adjacent measured values.

[0129] Distribution analysis unit: Statistically analyze the data change of the overall section.

[0130] Abnormality recognition module 3 establishes an abnormality recognition model to identify the abnormalities of monitoring data and inspection results, and analyzes the structural safety and stability of the dam;

[0131] Sub-module:

[0132] Abnormality model establishment unit: Establish models such as statistical models and finite element simulations.

[0133] Abnormality judgment rule setting unit: Define monitoring abnormalities, inspection abnormalities, etc.

[0134] Real-time monitoring data analysis unit: Analyze the trend, correlation, etc. of the real-time uploaded monitoring data.

[0135] Safety judgment and information release module 4 judges the safety status of the dam according to the judgment criteria, and sends safety information to relevant users through communication means;

[0136] Sub-module:

[0137] Safety status judgment unit: Judge the normal, warning, and alarm status of the dam.

[0138] Information sending unit: Send safety information in the form of videos, images, and documents.

[0139] User management unit: Add or delete users and support different forms of message push.

[0140] Safety information display unit: Associate safety monitoring information with the 3D model to display the operation status.

[0141] The system management and maintenance module 5 is responsible for the configuration, maintenance, upgrade, and user permission management of the entire system.

[0142] Sub-module:

[0143] System configuration unit: Configures system parameters.

[0144] Maintenance and upgrade unit: Regularly maintains and upgrades the system.

[0145] Permission management unit: Manages user permissions and access control.

[0146] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not restrictive. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered within the scope of the claims of the present invention.

Claims

1. A method for constructing an online monitoring system for the operation safety of a dam, characterized in that: including data collection and aggregation to obtain the first aggregated data set obtaining the corresponding anomaly recognition results based on the first aggregated data set evaluating the dam safety status according to the anomaly recognition results and displaying the operating status 2. The construction method of an online monitoring system for the operation safety of a dam according to claim 1, characterized in that: The obtaining of the first aggregated data set includes regularly uploading data through an interface, automatically collecting sensor data using intelligent collection devices, and transmitting the data to the central station server database using a positioning system to automatically monitor construction data using high-definition video image collection devices to automatically collect video images of key parts in a fixed and mobile manner 3. The construction method of an online monitoring system for dam operation safety according to claim 2, characterized in that: After obtaining the first aggregated data set, it also includes data processing and data analysis Through direct operation of the system, data processing includes data query, data calculation, data review, measured value status determination, data modification, and the database synchronously records relevant information on data processing Data analysis includes data analysis functions, and the data analysis form meets the specification requirements for the analysis of monitoring data materials, including trend analysis, correlation analysis, and comparative analysis 4. The construction method of an online monitoring system for dam operation safety according to claim 3, characterized in that: The obtaining of the corresponding anomaly recognition results includes establishing an anomaly recognition model to identify anomalies in monitoring data and inspection results, and analyzing the structural safety and stability of the dam Setting anomaly judgment rules, including definitions of monitoring anomalies, inspection anomalies, safety degree anomalies, and structural anomalies. The anomaly recognition model includes statistical models, finite element simulation calculations, hybrid models, and structural rapid feedback models 5. A method for constructing an online monitoring system for the operation safety of a dam according to claim 4, characterized in that: The statistical models include statistical models for horizontal displacement monitoring data of concrete dams, horizontal displacement statistical models for earth-rock dams, and statistical models for dam seepage flow 6. The construction method of an online monitoring system for the operation safety of a dam according to claim 5, characterized in that: The obtaining of the corresponding anomaly recognition results also includes setting the status intervals of each monitoring measurement point for the real-time uploaded monitoring data, and conducting trend analysis, correlation analysis, comparative analysis, and distribution analysis Correlation analysis includes establishing different models, automatically obtaining various factor values according to different models respectively, conducting statistical analysis on the historical observations of the measurement points, establishing a correlation relationship, analyzing the correlation of the measurement points, calculating the correlation coefficient, and fitting the measured values Comparative analysis includes comparing the current measured value with the previous or several previous measured values; comparing with the measured values of adjacent measurement points; comparing with the measured values under the same conditions in history multiple times; comparing with the maximum and minimum values in history and comparing with the measured values of other corresponding items and the measured values of the corresponding measurement points Distribution analysis includes conducting statistical analysis on the historical observed values of the measurement points when considering the spatial distribution factors of the monitored quantity, and checking the data change conditions of the overall cross-section in each direction While conducting various analyses on the monitoring data of the measurement points, establishing safety evaluation indicators to complete the safety monitoring of the overall dam status 7. The construction method of an online monitoring system for dam operation safety according to claim 6, characterized in that: The evaluation of the dam safety status includes normal, warning, and alarm of the dam. The evaluation criteria are various evaluation indicators such as the integrity rate of automated monitoring data, the integrity rate of manual monitoring data, the effective data inspection rate, the operation rate of the monitoring automation system, the completion rate of inspection tours, and the timely report upload rate, as well as the results of structural safety review, slope stability review, and flood review based on monitoring data Send the dam operation safety information to the designated relevant users by means of communication. Among them, the dam operation safety information includes videos, images and documents; the information content allows the on-line monitoring system managers to export from the system and perform editing, modification and supplementation operations; at the same time, users can be added and deleted, and group push, independent push, scheduled push and immediate push of messages are supported; Associate the dam safety monitoring information, inspection results and safety analysis results with the 3D model of the dam structural project to display the dam operation status in real time and dynamically, show the process of the dam operating safely, and comprehensively predict, analyze, evaluate and demonstrate the dam safety.

8. A system adopting a method for constructing an on-line monitoring system for the operation safety of a dam as described in any one of claims 1 to 7, characterized in that: It includes a data acquisition and aggregation module, a data processing and analysis module, an anomaly identification module, a safety judgment and information release module, and a system management and maintenance module; The data acquisition and aggregation module regularly uploads data, automatically collects sensor data, transmits it to the central station server database, automatically monitors construction data, and collects video images of key parts; The data processing and analysis module queries, calculates, audits, determines the status, modifies the aggregated data, and performs data analysis to meet the requirements of the monitoring data analysis specification; The anomaly identification module establishes an anomaly identification model, identifies anomalies in the monitoring data and inspection results, and analyzes the structural safety and stability of the dam; The safety judgment and information release module judges the dam safety status according to the judgment criteria and sends safety information to relevant users by means of communication; The system management and maintenance module is responsible for the configuration, maintenance, upgrade and user permission management of the entire system.

9. A computer device, comprising a memory and a processor, the memory storing a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the method described in any one of claims 1 to 7.

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