Dam operation safety online monitoring system based on middle platform framework

Abstract

According to the dam operation safety on-line monitoring system based on the middle platform architecture, the dam operation safety on-line monitoring system is rapidly constructed based on a data middle platform, a model middle platform, a knowledge middle platform and a service middle platform, the information resource reuse degree and utilization efficiency can be effectively improved, the workload and period of system customization development are reduced, and the system development efficiency is improved. And online monitoring and intelligent analysis early warning of the reservoir dam are realized. Monitoring data, a professional model and a knowledge base used by the online monitoring system are managed in a unified manner based on a middle platform architecture, and are called and used according to different scene requirements; and meanwhile, relevant resources can be intelligently combined and applied, so that the model and knowledge adaptation capability is effectively improved, and complex application requirements are better met. The dam operation safety on-line monitoring system based on the middle platform architecture can realize engineering safety real-time analysis and early warning, rapid structural calculation and engineering safety comprehensive evaluation, performs closed-loop disposal on abnormal conditions, and provides reliable support for safe operation of the dam.

Description

Technical Field

[0001] The present invention relates to the technical field of dam safety, and in particular to an online monitoring system for dam operation safety based on a middle platform architecture. Background Art

[0002] At present, domestic water conservancy and hydropower projects generally have built dam safety monitoring systems, which have realized routine functions such as data collection, data management and information compilation. However, there are generally problems such as weak monitoring analysis and early warning, insufficient online monitoring capabilities, etc., which make it difficult to meet online monitoring requirements. On the other hand, most of the dam safety online monitoring systems under construction or operation adopt a monolithic architecture design, with strong code coupling, inconsistent data docking standards, and a high degree of model customization, making it difficult to achieve rapid data access and reuse of existing model resources, resulting in high system construction costs and long development cycles. Summary of the invention

[0003] The technical problem to be solved by the present invention is to provide an online monitoring system for dam operation safety based on a middle platform architecture, which is based on a data middle platform, a model middle platform, a knowledge middle platform and a business middle platform to achieve rapid construction of an online monitoring system, effectively improve the degree of information resource reuse and utilization efficiency, reduce the workload and cycle of system customization and development, and realize online monitoring and intelligent analysis and early warning of reservoir dams.

[0004] In order to solve the above technical problems, the technical solution adopted by the present invention is: a dam operation safety online monitoring system based on a middle platform architecture, wherein the system architecture includes an access layer, a middle platform layer and an application layer; The access layer includes a series of monitoring and sensing systems such as the safety monitoring and collection system, the water and rainfall monitoring system, and the patrol inspection system. By accessing the data center, it provides original data support for the dam operation safety online monitoring system; The middle platform layer includes data middle platform, model middle platform, knowledge middle platform and business middle platform; The application layer is a business application function module of the dam operation safety online monitoring system built on the middle platform layer, which mainly includes a timeliness inspection module, an abnormality judgment module, a rapid structure calculation module, an operation status evaluation module and a closed-loop processing flow module.

[0005] Preferably, the data center is connected to systems such as the water and rainfall monitoring system, the safety monitoring and collection system, and the patrol inspection system, and conducts orderly data exchange, bringing together geographic spatial data, basic data, monitoring data, and business data for unified management; at the same time, it filters, converts, and compiles specific data, and provides data services in the form of interfaces.

[0006] Specifically, the data center uniformly aggregates and processes safety monitoring data, water and rainfall data, inspection data, business management data, etc., and provides it to the dam operation safety online monitoring system in the form of data services.

[0007] The safety monitoring data includes specific data such as deformation monitoring, seepage monitoring, and stress-strain monitoring. The data center is connected to the safety monitoring collection system to achieve timed synchronization or real-time acquisition of monitoring data. The data can be preliminarily filtered, cleaned, and standardized through configured rules. The original monitoring data and results data can be obtained in real time by inputting measurement point numbers, time intervals, and other conditions.

[0008] The water and rainfall data include environmental quantity data such as reservoir water level, flow and rainfall. The data middle platform is connected with the water condition monitoring equipment to realize the real-time extraction of environmental quantity data, and the data is processed by the data middle platform such as feature value extraction, time period mean extraction, power calculation, etc., and then used as the environmental quantity input factor of the model.

[0009] The inspection data includes the inspection results of various locations of the project. The data center is connected to the inspection system to obtain the inspection status of each engineering object of the project at a regular basis. When conducting a comprehensive evaluation of project safety, the latest inspection results can be obtained through the project object name and evaluation time as the basis for safety evaluation.

[0010] The business management data includes management data for the safe operation of the project, including data analysis results, compiled analysis reports, special analysis reports, monitoring and early warning results and other data. The business management data can be retrieved through the data interface for use.

[0011] Preferably, the knowledge center integrates the knowledge content of water conservancy patents to form a professional knowledge base, and realizes the extraction, storage, expression and application of knowledge through the knowledge engine. Through the interface call, the required knowledge information can be quickly queried and acquired. The knowledge center integrates multi-source heterogeneous engineering safety knowledge such as monitoring data collection strategies, measurement point judgment rules, step-by-step judgment rules, and structural calculation results into the center for management, and uses the knowledge graph to realize the relationship expression of the multi-level engineering safety comprehensive evaluation system. When it is necessary to conduct measurement point abnormality evaluation or comprehensive safety evaluation, the rules and results knowledge in the knowledge center can be called through the interface. Provide strategic support for the timely monitoring of safety monitoring data and environmental quantity data; Furthermore, when the dam operation safety online monitoring system is making abnormality judgments, it dynamically obtains the monitoring indicators and evaluation rules of the measuring points required by the model from the knowledge platform through the interface, providing rule support for the measuring point evaluation model; Furthermore, when conducting a comprehensive evaluation of engineering safety, the dam operation safety online monitoring system dynamically obtains the comprehensive evaluation system, step-by-step evaluation rules, and structural calculation results required by the model from the knowledge platform through an interface, providing "knowledge" resources for the operation of the comprehensive engineering safety evaluation model.

[0012] Preferably, the business middle platform provides basic services such as graphic components, table components, file services, message reminder services, and process engine services that are commonly used in the dam operation safety online monitoring system, and has the ability to package, publish, and manage business applications.

[0013] Furthermore, the dam safety online monitoring system includes functional modules such as timeliness inspection, abnormality identification, rapid structural calculation, operational status evaluation and closed-loop processing flow. The functional modules are mainly built using the business middle platform and can be packaged into separate services for release and operation.

[0014] Preferably, the model middle platform has the functions of model data preprocessing, model registration, model publishing and model usage supervision, and is used to provide model services to the dam operation safety online monitoring system; the model middle platform has built-in measurement point evaluation models, structural simulation calculation models and comprehensive safety evaluation models, and provides model services to the outside through standardized model service interfaces.

[0015] Specifically, the measuring point evaluation model is based on the evaluation rules and monitoring indicators of the measuring points, combined with the measuring point monitoring data, to judge the safety status of the measuring points, and can provide model support for the abnormality judgment function of the dam operation safety online monitoring system; the model input includes the measuring point monitoring data, the measuring point monitoring indicators and the measuring point evaluation rules, and the model output is the measuring point safety status level, the measuring point abnormality cause (if there is an abnormality), and the abnormal time (if there is an abnormality).

[0016] The structural simulation calculation model carries out structural simulation calculations for actual working conditions or assumed working conditions, and can provide model support for the rapid structural calculation function of the dam operation safety online monitoring system; the model input includes basic information such as monitoring data, environmental quantity data, material parameters, etc., and the output results are temperature field, stress field, deformation field, stability coefficient, etc.

[0017] The comprehensive safety evaluation model is based on the comprehensive safety evaluation system of the project, and integrates the safety evaluation status of the measuring points, the structural calculation results, and the inspection results in the analysis system to achieve a comprehensive evaluation of the safety status of the project. It can provide model support for the operation status evaluation function of the dam operation safety online monitoring system; the model input includes the safety evaluation status of the measuring points, the output results of the structural settlement model, the inspection results, and the step-by-step evaluation rules, and the output results are the overall evaluation conclusion of the project and the safety status and conclusion of each node of the evaluation system.

[0018] Preferably, the timeliness check module determines the timeliness of the safety monitoring data and the environmental quantity data based on the data collection strategy stored in the knowledge center and the feedback of the monitoring data; when the timeliness does not meet the requirements, it draws a conclusion that the data is missing, and automatically pushes the missing measurement situation through the message reminder service; The abnormality identification module comprehensively utilizes the safety monitoring results data and the measuring point evaluation model to realize abnormality identification of the dam safety monitoring data; when abnormal data is identified, an abnormality reminder message will be automatically pushed to the management personnel through the message reminder service; The fast structural calculation module obtains information such as boundary conditions and load parameters through the data center, inputs it into the structural simulation calculation model for simulation calculation, outputs various charts such as contour maps and vector maps, and can be synchronously mapped and displayed in the visual model; The operational status evaluation module is based on a comprehensive evaluation model, integrates monitoring data, inspection results and structural calculation results, and uses comprehensive reasoning and other methods to integrate the measurement results of evaluation indicators at all levels to achieve a comprehensive evaluation of the dam's safety status; The closed-loop processing flow module generates an abnormal handling work order task for abnormal situations occurring in the timeliness judgment, effectiveness judgment and operating status evaluation modules, and dispatches it to relevant personnel for on-site handling; after completing the on-site handling, verification feedback is performed to achieve closed-loop handling of monitoring alarm abnormalities.

[0019] Preferably, the timeliness check module process includes: Step 1: Obtain the measurement point data collection strategy from the knowledge center through the interface and set the time range; calculate the number of data items M that should be collected within the current time range according to the measurement point data collection strategy and the set time range; Step 2: Query the number of aggregated original data items N from the data center, and compare the corresponding number of collected data items M with the actual number of collected data items N; Step 3: If the number of data items N actually collected is greater than the number of data items M that should be collected, the data collection meets the timeliness requirement; otherwise, it does not meet the timeliness requirement and a data missing reminder is sent.

[0020] Preferably, the abnormality identification module process includes: Step 1: The data center gathers safety monitoring data and water and rainfall data; Step 2: Obtain the monitoring indicators of the measuring points and the evaluation criteria of the measuring points through the knowledge platform, including the abnormal level of the measuring points and the proportion of the extreme value exceeding the limit of the measuring points corresponding to each level, the confidence interval range and other information; Step 3: Call the measuring point evaluation model of the model center, and input the real-time monitoring data, measuring point monitoring indicators and measuring point evaluation rules into the measuring point evaluation model; Step 4: determine the abnormality of the monitoring data. If the data is normal, the data will be stored in the data center database. Otherwise, the observation time, data value, warning level, warning content and other information of the abnormal data will be output, and the data will be included in the abnormal data list.

[0021] Preferably, the rapid structure calculation module process includes: Step 1: Extract engineering boundary conditions, material parameters and other calculation conditions from the knowledge platform through the interface; Step 2, determine whether the calculation is a real-time working condition calculation, if yes, execute step 3; otherwise, execute step 4; Step 3: Obtain monitoring data such as the current water level, temperature, and pressure of the project from the data center and calculate the generated load; Step 4: Obtain the pre-stored typical working conditions from the knowledge platform, such as normal water level of the reservoir, verified flood level and other working conditions, and generate loads through calculation; Step 5: Perform simulation calculation based on the structural simulation calculation model of the model platform, and store the calculation results in the knowledge platform; Step 6: Visualize the calculation results on the front end.

[0022] Preferably, the operation performance evaluation module process includes: Step 1, setting the operation performance evaluation time; Step 2: According to the object information of the operational status evaluation, the corresponding dam online monitoring system and the set step-by-step fusion evaluation rules are obtained from the knowledge center; Step 3, obtaining basic data required for calculation, including obtaining through steps 4 and 5; Step 4: Obtain the inspection results, safety monitoring data, environmental quantity and other data corresponding to the evaluation time from the data center; at the same time, obtain the abnormality judgment results completed at each measuring point in the online monitoring system as the input of the performance evaluation; Step 5, obtaining the structural simulation calculation results from the knowledge platform according to the requirements of the online monitoring system and the set evaluation time conditions; Step 6, calling the comprehensive evaluation model of the model center to perform operation performance evaluation calculation; Step 7: Store the operating performance evaluation results as knowledge data in the knowledge platform; and push the evaluation results to the management personnel.

[0023] Preferably, the closed-loop disposal process module process includes: Step 1: During the timeliness check, abnormality identification and operation status evaluation, if any abnormality is found, choose to initiate the processing flow; Step 2: Select the person who will handle and verify the problem, specify the expected completion time, and issue the process to the person who will handle the problem; Step 3: The problem handler will investigate the problem on site, fill out the handling instructions after solving the problem and submit it to the verifier for inspection; Step 4: The verifier checks the disposal results. If there is no objection to the disposal results, the verification is passed; otherwise, the process returns to step 3.

[0024] The present invention provides an online monitoring system for dam operation safety based on a middle platform architecture. Based on a data middle platform, a model middle platform, a knowledge middle platform and a business middle platform, the rapid construction of an online monitoring system for dam operation safety can be achieved, which can effectively improve the reuse degree and utilization efficiency of information resources, reduce the workload and cycle of system customization and development, and realize online monitoring and intelligent analysis and early warning of reservoir dams.

[0025] Based on the middle-office architecture, the monitoring data, professional models and knowledge bases used by the online monitoring system are managed in a unified manner and retrieved and used according to the needs of different scenarios. At the same time, relevant resources can be intelligently combined and applied to effectively improve the model and knowledge adaptation capabilities and better meet complex application needs.

[0026] The online monitoring system for dam operation safety based on the middle-office architecture can realize real-time analysis and early warning of engineering safety, rapid structural calculation and comprehensive evaluation of engineering safety, and can perform closed-loop disposal of abnormal situations, providing reliable system support for the safe operation of the dam. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] The present invention will be further described below in conjunction with the accompanying drawings and embodiments: Figure 1 is a system architecture diagram of the present invention; Figure 2 This is a timeliness check flow chart of the present invention; Figure 3 Check the page for timeliness in the present invention; Figure 4 This is a flow chart of abnormality determination in the present invention; Figure 5 This is the abnormality identification page in the present invention; Figure 6 It is a flowchart of rapid structure calculation in the present invention; Figure 7 This is the fast structure calculation page in the present invention; Figure 8 This is a flow chart of the operating performance evaluation in the present invention; Fig. 9 It is the operating performance evaluation page in the present invention; Fig.10 It is a closed-loop processing flow chart of the present invention; Fig.11 This is the closed-loop processing flow page in the present invention. DETAILED DESCRIPTION

[0028] like Figure 1 As shown, a dam operation safety online monitoring system based on a middle platform architecture, the system architecture includes an access layer, a middle platform layer and an application layer; The access layer includes a series of monitoring and sensing systems such as the safety monitoring and collection system, the water and rainfall monitoring system, and the patrol inspection system. By accessing the data center, it provides original data support for the dam operation safety online monitoring system; The middle platform layer includes data middle platform, model middle platform, knowledge middle platform and business middle platform; The application layer is a business application function module of the dam operation safety online monitoring system built on the middle platform layer, which mainly includes a timeliness inspection module, an abnormality judgment module, a rapid structure calculation module, an operation status evaluation module and a closed-loop processing flow module.

[0029] Preferably, the data center is connected to systems such as the water and rainfall monitoring system, the safety monitoring and collection system, and the patrol inspection system, and conducts orderly data exchange, bringing together geographic spatial data, basic data, monitoring data, and business data for unified management; at the same time, it filters, converts, and compiles specific data, and provides data services in the form of interfaces.

[0030] Specifically, the data center uniformly aggregates and processes safety monitoring data, water and rainfall data, inspection data, business management data, etc., and provides it to the dam operation safety online monitoring system in the form of data services.

[0031] The safety monitoring data includes specific data such as deformation monitoring, seepage monitoring, and stress-strain monitoring. The data center is connected to the safety monitoring collection system to achieve timed synchronization or real-time acquisition of monitoring data. The data can be preliminarily filtered, cleaned, and standardized through configured rules. The original monitoring data and results data can be obtained in real time by inputting measurement point numbers, time intervals, and other conditions.

[0032] The water and rainfall data include environmental quantity data such as reservoir water level, flow and rainfall. The data middle platform is connected with the water condition monitoring equipment to realize the real-time extraction of environmental quantity data, and the data is processed by the data middle platform such as feature value extraction, time period mean extraction, power calculation, etc., and then used as the environmental quantity input factor of the model.

[0033] The inspection data includes the inspection results of various locations of the project. The data center is connected to the inspection system to obtain the inspection status of each engineering object of the project at a regular basis. When conducting a comprehensive evaluation of project safety, the latest inspection results can be obtained through the project object name and evaluation time as the basis for safety evaluation.

[0034] The business management data includes management data for the safe operation of the project, including data analysis results, compiled analysis reports, special analysis reports, monitoring and early warning results and other data. The business management data can be retrieved through the data interface for use.

[0035] Preferably, the knowledge center integrates the knowledge content of water conservancy patents to form a professional knowledge base, and realizes the extraction, storage, expression and application of knowledge through the knowledge engine. Through the interface call, the required knowledge information can be quickly queried and acquired. The knowledge center integrates multi-source heterogeneous engineering safety knowledge such as monitoring data collection strategies, measurement point judgment rules, step-by-step judgment rules, and structural calculation results into the center for management, and uses the knowledge graph to realize the relationship expression of the multi-level engineering safety comprehensive evaluation system. When it is necessary to conduct measurement point abnormality evaluation or comprehensive safety evaluation, the rules and results knowledge in the knowledge center can be called through the interface. Provide strategic support for the timely monitoring of safety monitoring data and environmental quantity data; Furthermore, when the dam operation safety online monitoring system is making abnormality judgments, it dynamically obtains the monitoring indicators and evaluation rules of the measuring points required by the model from the knowledge platform through the interface, providing rule support for the measuring point evaluation model; Furthermore, when conducting a comprehensive evaluation of engineering safety, the dam operation safety online monitoring system dynamically obtains the comprehensive evaluation system, step-by-step evaluation rules, and structural calculation results required by the model from the knowledge platform through an interface, providing "knowledge" resources for the operation of the comprehensive engineering safety evaluation model.

[0036] Preferably, the business middle platform provides basic services such as graphic components, table components, file services, message reminder services, and process engine services that are commonly used in the dam operation safety online monitoring system, and has the ability to package, publish, and manage business applications.

[0037] Furthermore, the dam safety online monitoring system includes functional modules such as timeliness inspection, abnormality identification, rapid structural calculation, operational status evaluation and closed-loop processing flow. The functional modules are mainly built using the business middle platform and can be packaged into separate services for release and operation.

[0038] Preferably, the model middle platform has the functions of model data preprocessing, model registration, model publishing and model usage supervision, and is used to provide model services to the dam operation safety online monitoring system; the model middle platform has built-in measurement point evaluation models, structural simulation calculation models and comprehensive safety evaluation models, and provides model services to the outside through standardized model service interfaces.

[0039] Specifically, the measuring point evaluation model is based on the evaluation rules and monitoring indicators of the measuring points, combined with the measuring point monitoring data, to judge the safety status of the measuring points, and can provide model support for the abnormality judgment function of the dam operation safety online monitoring system; the model input includes the measuring point monitoring data, the measuring point monitoring indicators and the measuring point evaluation rules, and the model output is the measuring point safety status level, the measuring point abnormality cause (if there is an abnormality), and the abnormal time (if there is an abnormality).

[0040] The structural simulation calculation model carries out structural simulation calculations for actual working conditions or assumed working conditions, and can provide model support for the rapid structural calculation function of the dam operation safety online monitoring system; the model input includes basic information such as monitoring data, environmental quantity data, material parameters, etc., and the output results are temperature field, stress field, deformation field, stability coefficient, etc.

[0041] The comprehensive safety evaluation model is based on the comprehensive safety evaluation system of the project, and integrates the safety evaluation status of the measuring points, the structural calculation results, and the inspection results in the analysis system to achieve a comprehensive evaluation of the safety status of the project. It can provide model support for the operation status evaluation function of the dam operation safety online monitoring system; the model input includes the safety evaluation status of the measuring points, the output results of the structural settlement model, the inspection results, and the step-by-step evaluation rules, and the output results are the overall evaluation conclusion of the project and the safety status and conclusion of each node of the evaluation system.

[0042] Preferably, the timeliness check module determines the timeliness of the safety monitoring data and the environmental quantity data based on the data collection strategy stored in the knowledge center and the feedback of the monitoring data; when the timeliness does not meet the requirements, it draws a conclusion that the data is missing, and automatically pushes the missing measurement situation through the message reminder service; The abnormality identification module comprehensively utilizes the safety monitoring results data and the measuring point evaluation model to realize abnormality identification of the dam safety monitoring data; when abnormal data is identified, an abnormality reminder message will be automatically pushed to the management personnel through the message reminder service; The fast structural calculation module obtains information such as boundary conditions and load parameters through the data center, inputs it into the structural simulation calculation model for simulation calculation, outputs various charts such as contour maps and vector maps, and can be synchronously mapped and displayed in the visual model; The operational status evaluation module is based on a comprehensive evaluation model, integrates monitoring data, inspection results and structural calculation results, and uses comprehensive reasoning and other methods to integrate the measurement results of evaluation indicators at all levels to achieve a comprehensive evaluation of the dam's safety status; The closed-loop processing flow module generates an abnormal handling work order task for abnormal situations occurring in the timeliness judgment, effectiveness judgment and operating status evaluation modules, and dispatches it to relevant personnel for on-site handling; after completing the on-site handling, verification feedback is performed to achieve closed-loop handling of monitoring alarm abnormalities.

[0043] Preferably, Figure 2 As shown, the timeliness check module process includes: Step 1: Obtain the measurement point data collection strategy from the knowledge center through the interface and set the time range; calculate the number of data items M that should be collected within the current time range according to the measurement point data collection strategy and the set time range; Step 2: Query the number of aggregated original data items N from the data center, and compare the corresponding number of collected data items M with the actual number of collected data items N; Step 3: If the number of data items N actually collected is greater than the number of data items M that should be collected, the data collection meets the timeliness requirement; otherwise, it does not meet the timeliness requirement and a data missing reminder is sent.

[0044] For example, Figure 3 As shown in the figure, the collection frequency of the measuring points in the list is set to once a day. Based on the collection strategy, the number of data to be collected and the number of data actually collected at each measuring point within the selected time range are counted, and the results of the number of data to be collected, the number of data actually collected, the number of missing data and the data missing rate are obtained. It is found that the number of measured data at the strain gauge measuring point S918-610-1-3 does not meet the requirements, and the number of measured data at the other measuring points meets the requirements, and a missing data reminder message is sent to the relevant management personnel.

[0045] Preferably, Figure 4 As shown, the abnormality identification module process includes: Step 1: The data center gathers safety monitoring data and water and rainfall data; Step 2: Obtain the monitoring indicators of the measuring points and the evaluation criteria of the measuring points through the knowledge platform, including the abnormal level of the measuring points and the proportion of the extreme value exceeding the limit of the measuring points corresponding to each level, the confidence interval range and other information; Step 3: Call the measuring point evaluation model of the model center, and input the real-time monitoring data, measuring point monitoring indicators and measuring point evaluation rules into the measuring point evaluation model; Step 4: determine the abnormality of the monitoring data. If the data is normal, the data will be stored in the data center database. Otherwise, the observation time, data value, warning level, warning content and other information of the abnormal data will be output, and the data will be included in the abnormal data list.

[0046] For example, Figure 5 As shown, the monitoring data judged as abnormal can be viewed by project location, measuring point type, alarm time range, etc., including measuring point number, measuring point type, monitoring time, monitoring value, alarm level, alarm content, abnormal handling status and other information. Through the abnormality judgment function module, specific abnormal data can be selected, an alarm processing work order can be created, and corresponding personnel can be designated to investigate and handle the abnormal information.

[0047] Preferably, Figure 6 As shown, the fast structure calculation module process includes: Step 1: Extract engineering boundary conditions, material parameters and other calculation conditions from the knowledge platform through the interface; Step 2, determine whether the calculation is a real-time working condition calculation, if yes, execute step 3; otherwise, execute step 4; Step 3: Obtain monitoring data such as the current water level, temperature, and pressure of the project from the data center and calculate the generated load; Step 4: Obtain the pre-stored typical working conditions from the knowledge platform, such as normal water level of the reservoir, verified flood level and other working conditions, and generate loads through calculation; Step 5: Perform simulation calculation based on the structural simulation calculation model of the model platform, and store the calculation results in the knowledge platform; Step 6: Visualize the calculation results on the front end.

[0048] For example, Figure 7 As shown, first obtain the boundary conditions and material parameters required for the calculation from the knowledge center, and set the working condition information required for the calculation. The calculation conditions and calculation conditions support manual modification. After the settings are completed, the structural calculation model can be called to perform real-time structural simulation calculations, and the characteristic values ​​of the calculation results are displayed in the form of a table. The calculation results of each node in the model are synchronously mapped and displayed in the visual model.

[0049] Preferably, Figure 8 As shown, the operation performance evaluation module process includes: Step 1, setting the operation performance evaluation time; Step 2: According to the object information of the operational status evaluation, the corresponding dam online monitoring system and the set step-by-step fusion evaluation rules are obtained from the knowledge center; Step 3, obtaining basic data required for calculation, including obtaining through steps 4 and 5; Step 4: Obtain the inspection results, safety monitoring data, environmental quantity and other data corresponding to the evaluation time from the data center; at the same time, obtain the abnormality judgment results completed at each measuring point in the online monitoring system as the input of the performance evaluation; Step 5, obtaining the structural simulation calculation results from the knowledge platform according to the requirements of the online monitoring system and the set evaluation time conditions; Step 6, calling the comprehensive evaluation model of the model center to perform operation performance evaluation calculation; Step 7: Store the operating performance evaluation results as knowledge data in the knowledge platform; and push the evaluation results to the management personnel.

[0050] For example, Fig. 9 As shown in the figure, at 8:00 on July 4, 2024, an operational performance evaluation of a concrete arch dam was conducted. After setting the evaluation time and evaluation method, the dam operation safety online monitoring system called the comprehensive evaluation model, integrated the monitoring data, abnormality judgment results, patrol inspection results and structural simulation calculation results, and comprehensively analyzed the measurement results of evaluation indicators at all levels, and finally achieved a comprehensive evaluation of the dam's safety status.

[0051] Preferably, Fig.10 As shown, the closed-loop disposal process module process includes: Step 1: During the timeliness check, abnormality identification and operation status evaluation, if any abnormality is found, choose to initiate the processing flow; Step 2: Select the person who will handle and verify the problem, specify the expected completion time, and issue the process to the person who will handle the problem; Step 3: The problem handler will investigate the problem on site, fill out the handling instructions after solving the problem and submit it to the verifier for inspection; Step 4: The verifier checks the disposal results. If there is no objection to the disposal results, the verification is passed; otherwise, the process returns to step 3.

[0052] For example, Fig.11 As shown, when making abnormality judgments, it was found that the measured value of the steel bar measuring point R17YDY12 on June 26, 2024 exceeded the monitoring index. The data compiler initiated a closed-loop processing process through the platform and designated on-site verification personnel to verify and handle the problem. After investigation, it was determined that the data was a gross error data, and this data was set as a gross error data. After processing, it was submitted to the business management personnel, who verified the situation, realizing closed-loop management of abnormal discovery, disposal, and verification.

[0053] To summarize, the present invention proposes an online monitoring system for dam operation safety based on a middle platform architecture. Based on the data middle platform, model middle platform, knowledge middle platform and business middle platform, the rapid construction of the online monitoring system for dam operation safety can be achieved, which can effectively improve the degree of information resource reuse and utilization efficiency, reduce the workload and cycle of system customization and development, and realize online monitoring and intelligent analysis and early warning of reservoir dams.

[0054] Based on the middle-office architecture, the monitoring data, professional models and knowledge bases used by the online monitoring system are managed in a unified manner and retrieved and used according to the needs of different scenarios. At the same time, relevant resources can be intelligently combined and applied to effectively improve the model and knowledge adaptation capabilities and better meet complex application needs.

[0055] The online monitoring system for dam operation safety based on the middle-office architecture can realize real-time analysis and early warning of engineering safety, rapid structural calculation and comprehensive evaluation of engineering safety, and perform closed-loop disposal of abnormal situations, providing reliable support for the safe operation of the dam.

[0056] The above embodiments are only preferred technical solutions of the present invention and should not be regarded as limiting the present invention. The protection scope of the present invention shall be the technical solutions recorded in the claims, including equivalent replacement solutions of the technical features in the technical solutions recorded in the claims. That is, equivalent replacement improvements within this scope are also within the protection scope of the present invention.

Claims

1. A dam operation safety online monitoring system based on the middle platform architecture, characterized in that: The system architecture includes an access layer, a middle platform layer and an application layer; The access layer includes a safety monitoring and collection system, a water and rainfall monitoring system, and a patrol inspection system, which provide original data support for the dam operation safety online monitoring system by accessing the data center; The middle platform layer includes data middle platform, model middle platform, knowledge middle platform and business middle platform; The application layer is a business application function module of the dam operation safety online monitoring system built on the middle platform layer, including a timeliness check module, an abnormality judgment module, a fast structure calculation module, an operation performance evaluation module and a closed-loop processing flow module.

2. According to claim 1, a dam operation safety online monitoring system based on the middle platform architecture is characterized in that: The data center is connected to the water and rainfall monitoring system, the safety monitoring and collection system, and the patrol inspection system, and conducts orderly data exchange, bringing together geographic spatial data, basic data, monitoring data, and business data for unified management; at the same time, it filters, converts, and compiles specific data, and provides data services in the form of interfaces.

3. According to claim 1, a dam operation safety online monitoring system based on the middle platform architecture is characterized in that: The knowledge middle platform integrates the water conservancy patent knowledge content to form a professional knowledge base, and realizes the extraction, storage, expression and application of knowledge through the knowledge engine. Through interface calls, the required knowledge information can be quickly queried and acquired. The knowledge middle platform integrates the monitoring data collection strategy, measurement point judgment rules, step-by-step judgment rules, and structural calculation results into the middle platform for management, and uses the knowledge graph to realize the relationship expression of the multi-level comprehensive engineering safety evaluation system. When measurement point abnormality evaluation or comprehensive safety evaluation is required, the rules and results knowledge in the knowledge middle platform are called through the interface.

4. According to claim 1, a dam operation safety online monitoring system based on the middle platform architecture is characterized in that: The model middle platform has the functions of model data preprocessing, model registration, model publishing and model usage supervision, and is used to provide model services to the dam operation safety online monitoring system; the model middle platform has built-in measurement point evaluation models, structural simulation calculation models and comprehensive safety evaluation models, and provides model services to the outside through standardized model service interfaces.

5. According to claim 1, a dam operation safety online monitoring system based on the middle platform architecture is characterized in that: The timeliness check module determines the timeliness of security monitoring data and environmental quantity data based on the data collection strategy stored in the knowledge platform and the feedback of monitoring data; When the timeliness requirement is not met, the conclusion of data missing is drawn and the missing situation is automatically pushed through the message reminder service; The abnormality identification module comprehensively utilizes the safety monitoring results data and the measuring point evaluation model to realize abnormality identification of the dam safety monitoring data; when abnormal data is identified, an abnormality reminder message will be automatically pushed to the management personnel through the message reminder service; The fast structural calculation module obtains information such as boundary conditions and load parameters through the data center, inputs it into the structural simulation calculation model for simulation calculation, outputs various charts such as contour maps and vector maps, and can be synchronously mapped and displayed in the visual model; The operational status evaluation module is based on a comprehensive evaluation model, integrates monitoring data, inspection results and structural calculation results, and uses comprehensive reasoning and other methods to integrate the measurement results of evaluation indicators at all levels to achieve a comprehensive evaluation of the dam's safety status; The closed-loop processing flow module generates an abnormal handling work order task for abnormal situations occurring in the timeliness judgment, effectiveness judgment and operating status evaluation modules, and dispatches it to relevant personnel for on-site handling; after completing the on-site handling, verification feedback is performed to achieve closed-loop handling of monitoring alarm abnormalities.

6. According to claim 5, a dam operation safety online monitoring system based on the middle platform architecture is characterized in that: The timeliness check module process includes: Step 1: Obtain the measurement point data collection strategy from the knowledge center through the interface and set the time range; calculate the number of data items M that should be collected within the current time range according to the measurement point data collection strategy and the set time range; Step 2: Query the number of aggregated original data items N from the data center, and compare the corresponding number of collected data items M with the actual number of collected data items N; Step 3: If the number of data items N actually collected is greater than the number of data items M that should be collected, the data collection meets the timeliness requirement; otherwise, it does not meet the timeliness requirement and a data missing reminder is sent.

7. According to claim 5, a dam operation safety online monitoring system based on the middle platform architecture is characterized in that: The abnormality identification module process includes: Step 1: The data center gathers safety monitoring data and water and rainfall data; Step 2: Obtain the monitoring indicators of the measuring points and the evaluation criteria of the measuring points through the knowledge platform, including the abnormal level of the measuring points and the proportion of the extreme value exceeding the limit of the measuring points corresponding to each level, the confidence interval range and other information; Step 3: Call the measuring point evaluation model of the model center, and input the real-time monitoring data, measuring point monitoring indicators and measuring point evaluation rules into the measuring point evaluation model; Step 4: determine the abnormality of the monitoring data. If the data is normal, the data will be stored in the data center database. Otherwise, the observation time, data value, warning level, warning content and other information of the abnormal data will be output, and the data will be included in the abnormal data list.

8. According to claim 5, a dam operation safety online monitoring system based on the middle platform architecture is characterized in that: The fast structure calculation module process includes: Step 1: Extract engineering boundary conditions, material parameters and other calculation conditions from the knowledge platform through the interface; Step 2, determine whether the calculation is a real-time working condition calculation, if yes, execute step 3; otherwise, execute step 4; Step 3: Obtain monitoring data such as the current water level, temperature, and pressure of the project from the data center and calculate the generated load; Step 4: Obtain the pre-stored typical working conditions from the knowledge platform, such as normal water level of the reservoir, verified flood level and other working conditions, and generate loads through calculation; Step 5: Perform simulation calculation based on the structural simulation calculation model of the model platform, and store the calculation results in the knowledge platform; Step 6: Visualize the calculation results on the front end.

9. According to claim 5, a dam operation safety online monitoring system based on the middle platform architecture is characterized in that: The operation performance evaluation module process includes: Step 1, setting the operation performance evaluation time; Step 2: According to the object information of the operational status evaluation, the corresponding dam online monitoring system and the set step-by-step fusion evaluation rules are obtained from the knowledge center; Step 3, obtaining basic data required for calculation, including obtaining through steps 4 and 5; Step 4: Obtain the inspection results, safety monitoring data, environmental quantity and other data corresponding to the evaluation time from the data center; at the same time, obtain the abnormality judgment results completed at each measuring point in the online monitoring system as the input of the performance evaluation; Step 5, obtaining the structural simulation calculation results from the knowledge platform according to the requirements of the online monitoring system and the set evaluation time conditions; Step 6, calling the comprehensive evaluation model of the model center to perform operation performance evaluation calculation; Step 7: Store the operating performance evaluation results as knowledge data in the knowledge platform; and push the evaluation results to the management personnel.

10. According to claim 5, a dam operation safety online monitoring system based on the middle platform architecture is characterized in that: The closed-loop disposal process module process includes: Step 1: During the timeliness check, abnormality identification and operation status evaluation, if any abnormality is found, choose to initiate the processing flow; Step 2: Select the person who will handle and verify the problem, specify the expected completion time, and issue the process to the person who will handle the problem; Step 3: The problem handler will investigate the problem on site, fill out the handling instructions after solving the problem and submit it to the verifier for inspection; Step 4: The verifier checks the disposal results. If there is no objection to the disposal results, the verification is passed; otherwise, the process returns to step 3.

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