Method and system for monitoring and analyzing starting and stopping working condition data of flood overflow gate of hydropower station

Abstract

The invention discloses a monitoring analysis method and system for hydropower station flood overflow gate opening and closing working condition data, and relates to the technical field of monitoring analysis, and the method comprises the steps: building a data warehouse: carrying out the data connection with a cloud platform, and building a flood overflow gate and sand washing bottom hole data warehouse; audio and video imaging identification research: adopting an audio and video imaging technology to carry out imaging identification algorithm research on the flood overflow gate body and the opening and closing control equipment in the static state and the operation state of the gate; performing data and audio and video correlation research; the cloud platform data warehouse gathers and stores in real time, and data islands are broken. Audio and video imaging full-state monitoring is achieved, and potential faults are efficiently early warned. And data and audio and video correlation analysis is realized, and understanding is deepened. And a running inspection analysis and diagnosis function provides a detailed backtracking basis. Monitoring intellectualization is integrally improved, safe and reliable gate operation is ensured, and high-standard management requirements of modern hydropower stations are met.

Description

Technical Field

[0001] The present invention relates to the technical field of monitoring and analysis, and in particular to a monitoring and analysis method and system for opening and closing working condition data of a spillway gate of a hydropower station. Background Art

[0002] As a core component in reservoir flood control and water resource dispatching, the performance stability and operational safety of the hydropower station spillway gate are crucial to ensuring the smooth operation of the entire hydropower station and the safety of downstream areas. Under extreme weather conditions, such as heavy rains, floods and other natural disasters, the spillway gate needs to respond to dispatching instructions quickly and accurately to effectively control the reservoir water level, prevent flooding, and protect the surrounding environment and the safety of people's lives and property;

[0003] However, traditional methods for monitoring spillway gates mainly rely on manual inspections and limited data acquisition equipment, which have exposed many deficiencies in practical applications. First, manual inspections are not only inefficient, but also difficult to achieve continuous and comprehensive monitoring of the gate opening and closing conditions, and are prone to missing key information. Secondly, limited data acquisition equipment can often only capture changes in some parameters, such as displacement, pressure, etc., and cannot fully reflect the complex dynamic characteristics of the gate during the opening and closing process. In addition, due to the lack of real-time data acquisition, traditional methods often find it difficult to detect abnormal conditions in gate operation in the first place, thereby delaying the best time for fault handling. What is more serious is that with the expansion of the scale of hydropower stations and the continuous advancement of technology, higher requirements are placed on the safety and reliability of spillway gates. Traditional monitoring methods can no longer meet the needs of modern hydropower station management, and there is an urgent need for a system that can monitor in real time and efficiently analyze the opening and closing condition data of hydropower station spillway gates. Summary of the invention

[0004] The object of the present invention is to provide a monitoring and analysis method and system for the opening and closing condition data of a spillway gate of a hydropower station, so as to solve the problems raised in the above-mentioned background technology.

[0005] In order to solve the above technical problems, the present invention provides a monitoring and analysis method for the opening and closing condition data of a spillway gate of a hydropower station, comprising the following steps:

[0006] S1. Establish data warehouse: Establish data warehouse for spillway gates and sand flushing bottom holes by connecting data with cloud platform;

[0007] S2. Audio and video imaging recognition research: audio and video imaging technology is used to study the imaging recognition algorithm of the spillway gate body and the opening and closing control equipment in the static and moving states of the gate;

[0008] S3. Data and audio and video correlation research: conduct correlation application analysis based on audio and video recognition data and synchronous opening and closing working condition status data, such as comparison of opening, load data values ​​and gate body position;

[0009] S4. Research on operation and maintenance analysis and diagnosis functions: Through the retrieval of historical databases and historical audio and video to conduct a certain time section and video stream diagnosis and retrospective analysis of daily and abnormal conditions, the system can save long-term operating condition data for operation and maintenance personnel to call.

[0010] A monitoring and analysis system for opening and closing operating condition data of a spillway gate of a hydropower station, the system comprising:

[0011] Real-time preview module, intelligent identification module, historical data module, alarm data module, visualization platform and retrospective analysis tool;

[0012] The real-time preview module is used to collect various key data in the process of opening and closing the spillway gate of the hydropower station in real time;

[0013] The intelligent recognition module is used to perform intelligent analysis on the data collected by the real-time preview module using technologies such as machine learning and big data analysis;

[0014] The historical data module is responsible for storing and managing the historical data of the opening and closing conditions of the spillway gates of the hydropower station, and provides data extraction functions at multiple time scales;

[0015] The alarm data module is used to record and manage all alarm events triggered by the intelligent recognition module. The alarm data module records key information such as alarm time, alarm type, alarm level, alarm location and processing status in detail;

[0016] The visualization platform is used to intuitively display the data of the real-time preview module, intelligent identification module, historical data module and alarm data module to the management personnel in various forms such as charts, animations and maps;

[0017] The retrospective analysis tool is used to conduct in-depth analysis of the opening and closing condition data of the spillway gate of the hydropower station within a specific time period.

[0018] As a preferred technical solution of the present invention, the real-time preview module includes image preview and data preview;

[0019] The image preview is connected with the Gongdian Industrial TV system to achieve real-time preview of the newly built audio and video imaging;

[0020] Data preview is connected to the cloud platform to achieve real-time preview of analog and digital sensor data of the spillway.

[0021] As a preferred technical solution of the present invention, the intelligent recognition module includes an intelligent recognition model, recognition task management and recognition report;

[0022] The intelligent recognition model includes but is not limited to gate slot blockage recognition, gate slot deviation recognition, winch rope drum cable arrangement recognition, and winch motor operation acoustic recognition;

[0023] The recognition task management can customize the task name, recognition model, video stream acquisition channel, start and end time, associated alarm and other options according to different recognition requirements and spillway gate operation conditions, run the task manually or automatically, and push the command to the AI ​​analysis server;

[0024] The identification report is generated for each identification task and provides a review function.

[0025] As a preferred technical solution of the present invention, the historical data module includes audio and video historical data and sensor historical data;

[0026] The audio and video historical data is accessed through the industrial television system network to access the channel storage video on the hard disk recorder. During the operation of the intelligent recognition task, the saved recognition results and video streams are accessed;

[0027] The sensor historical data retrieves historical data of a certain time or period stored in the data warehouse and can generate a curve.

[0028] As a preferred technical solution of the present invention, the alarm data module includes alarm theme management, alarm theme monitoring rule management, alarm rule base management and alarm and push;

[0029] Among them, the alarm theme management is used to implement the information maintenance function of the alarm monitoring theme, which can add, delete and modify the relevant information of the monitoring theme, including the monitoring theme number, name, monitoring type, maintainer, maintenance time, status push, etc.;

[0030] Alarm topic monitoring rule management is used to implement the configuration management of monitoring rules for monitoring topics. Different types of monitoring rules can be configured for different types of monitoring topics, and monitoring alarm thresholds can be set. In this project, it includes audio and video recognition data push, as well as sensor historical data push, such as abnormal opening alarm, load left / right difference alarm and other rules;

[0031] Alarm rule base management is used to manage the alarm monitoring rule base, providing functions such as adding, querying and enabling monitoring rules for monitoring types;

[0032] Alarms and push notifications are used to push abnormal alarm information when the monitoring threshold triggers the alarm rule. The push notification method focuses on screen light frequency reminders and supports sound and light alarms.

[0033] As a preferred technical solution of the present invention, the visualization platform includes a comprehensive monitoring, data statistics area and an alarm reminder / elimination area;

[0034] The comprehensive monitoring is used to comprehensively display the operation of the spillway gate, which is divided into a single spillway gate, a sand flushing bottom hole and a spillway gate or sand flushing bottom hole display panel;

[0035] The data statistics area is used to display statistical data such as the number of times the spillway gate / sand flushing bottom hole is opened and closed and the number of intelligent identification and analysis tasks within a period;

[0036] The alarm reminder / elimination area is used to display system alarms in real time, such as intelligent identification and analysis alarms, threshold abnormality alarms, device offline alarms, data extraction failure alarms, and other situations, and divide the alarm levels, severity, etc.

[0037] As a preferred technical solution of the present invention, the retrospective analysis tool includes custom report output, long-term monitoring of key indicators of spillway operation and maintenance, and custom analysis models;

[0038] Among them, the customized report output can customize the selection of sensor system analog quantity, digital quantity data, identification and analysis result data, and customized time period for data extraction and playback, and playback of self-built audio and video windows and data curve windows;

[0039] Long-term monitoring of key indicators of spillway operation and maintenance. You can customize key indicators of spillway operation and maintenance or build your own data indicators associated with system data. With the help of system operation, long-term monitoring and preservation are carried out. Data extraction and playback can be performed in custom time periods.

[0040] Customized analysis models can customize the selection of sensor system analog and digital data, identification and analysis result data, and provide basic function applications, or customize analysis algorithms, create new analysis tasks and output results.

[0041] Compared with the prior art, the present invention has the following beneficial effects:

[0042] 1. By establishing a data warehouse through the cloud platform, real-time data aggregation and storage are realized, overcoming the data island problem of traditional monitoring methods. The application of audio and video imaging technology realizes intuitive and continuous monitoring of the full state of the gate (static and moving), avoiding omissions and inefficiencies in manual inspections. The correlation analysis of data and audio and video deepens the understanding of the gate opening and closing conditions, and helps to timely discover and warn of potential faults. The operation and inspection analysis and diagnosis function provides powerful historical data backtracking capabilities, providing operation and maintenance personnel with a detailed basis for fault analysis. In summary, this method greatly improves the level of intelligence of hydropower station spillway gate monitoring, ensures the safety and reliability of gate operation, and meets the high standards of modern hydropower station management;

[0043] 2. By introducing advanced technologies such as real-time preview, intelligent identification, historical data management, alarm push, and visual display within the system, comprehensive, real-time, and intelligent monitoring and analysis of the opening and closing conditions of the spillway gates have been achieved, significantly improving the safe operation level and operation and maintenance efficiency of the hydropower station. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 is a flow chart of the method of the present invention;

[0045] Figure 2 It is a flow chart of the system in the present invention. DETAILED DESCRIPTION

[0046] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0047] Example 1

[0048] See also Figure 1-2 The present invention provides a technical solution: a monitoring and analysis method for the opening and closing condition data of a flood spillway gate of a hydropower station, comprising the following steps:

[0049] S1. Establish data warehouse: Establish data warehouse for spillway gates and sand flushing bottom holes by connecting data with cloud platform;

[0050] First, it is necessary to collect relevant data of the spillway gate and sand flushing bottom hole from multiple data sources (including cloud platforms, local sensors, monitoring systems, etc.). These data include but are not limited to analog data such as gate opening, load, stress, displacement, vibration, water flow velocity, water level, and digital data such as switch status and indicator light status;

[0051] Before importing data into the data warehouse, data cleaning is required to remove duplicate, erroneous or inconsistent data. At the same time, data standards need to be established to ensure that data formats and units are unified between different data sources;

[0052] According to business requirements and data characteristics, a reasonable data model is designed to divide the data warehouse into different subject domains and dimension tables to facilitate subsequent data analysis and query.

[0053] Adopt efficient data storage technologies, such as distributed databases and column storage, to improve data access speed and storage efficiency. At the same time, establish a complete data backup and recovery mechanism to ensure data security and reliability;

[0054] S2. Audio and video imaging recognition research: audio and video imaging technology is used to study the imaging recognition algorithm of the spillway gate body and the opening and closing control equipment in the static and moving states of the gate;

[0055] Among them, according to the application scenario and needs, select appropriate audio and video imaging technology, such as high-definition camera, infrared thermal imaging, laser scanning, etc., to obtain high-quality audio and video data;

[0056] Develop specialized imaging recognition algorithms based on the characteristics of the spillway gate and its opening and closing control equipment. These algorithms need to be able to accurately identify the gate’s shape, position, motion trajectory and other features in different states;

[0057] Through a large number of experiments and tests, the performance and accuracy of the imaging recognition algorithm are continuously optimized. At the same time, the real-time and robustness of the algorithm are considered to ensure stable and reliable operation in practical applications;

[0058] Combine imaging recognition algorithms with intelligent analysis technology to achieve automatic monitoring and early warning of gate operation status. For example, through video analysis, abnormal gate vibration, crack expansion, etc. can be identified and an alarm can be issued in a timely manner;

[0059] S3. Data and audio and video correlation research: conduct correlation application analysis based on audio and video recognition data and synchronous opening and closing working condition status data, such as comparison of opening, load data values ​​and gate body position;

[0060] Establish a synchronization mechanism between audio and video data and the opening and closing status data of the same period to ensure the temporal consistency between the two. This will help to conduct accurate data correlation analysis later;

[0061] Develop specialized data association algorithms to correlate and analyze audio and video recognition data with opening and closing condition data. These algorithms need to be able to extract correlation features between the two, such as the consistency between gate opening and gate position in audio and video, and the relationship between load data and gate stress state in audio and video.

[0062] Based on the results of the correlation algorithm, application analysis is performed. For example, by comparing the opening data with the actual gate position in the audio and video, the accuracy and reliability of the gate control system can be evaluated; by analyzing the relationship between the load data and the gate stress state in the audio and video, the fatigue life and safety of the gate can be predicted.

[0063] S4. Research on the operation and inspection analysis and diagnosis function: Through the historical database and historical audio and video retrieval, the system can perform a certain time section and video stream diagnosis and retrospective analysis on daily and abnormal conditions. The system can save long-term operation condition data for operation and maintenance personnel to call;

[0064] Among them, a sound historical database management mechanism is established to classify, store and index long-term operating condition data. This helps to quickly retrieve and call historical data and provide decision support for operation and maintenance personnel;

[0065] Develop efficient audio and video retrieval technology to allow operation and maintenance personnel to quickly locate relevant audio and video data based on keywords such as time, location, and event. At the same time, provide video stream diagnosis and retrospective analysis functions to help operation and maintenance personnel gain an in-depth understanding of the equipment's operating status and fault causes;

[0066] Combined with historical data and audio and video analysis results, intelligent diagnosis and early warning are achieved using artificial intelligence technologies such as machine learning. The system can automatically identify potential problems in equipment operation and issue early warning signals so that operation and maintenance personnel can take timely measures to deal with them;

[0067] Generate detailed operation and maintenance reports and decision support information, including equipment operation status analysis, fault prediction, maintenance recommendations, etc. This information helps operation and maintenance personnel fully understand the equipment health status and operation and maintenance needs, and formulate reasonable operation and maintenance plans and budgets.

[0068] A monitoring and analysis system for opening and closing operating condition data of a spillway gate of a hydropower station, the system comprising:

[0069] Real-time preview module, intelligent identification module, historical data module, alarm data module, visualization platform and retrospective analysis tool;

[0070] The real-time preview module is responsible for collecting various key data in the process of opening and closing the spillway gate of the hydropower station, such as stress, displacement, vibration, water flow rate, wind speed and direction, etc. Through the connection with the sensor network, the real-time preview module can ensure the timeliness and accuracy of the data, and provide real-time gate operation status information for managers. The real-time data is displayed on the visualization platform in the form of charts, animations, etc., so that managers can intuitively understand the current status of the gate;

[0071] The intelligent recognition module is used to use machine learning, big data analysis and other technologies to perform intelligent analysis on the data collected by the real-time preview module. The intelligent recognition module can automatically identify abnormal conditions in the operation of the gate, such as stress concentration, abnormal displacement, excessive vibration, etc., and determine the possible causes and potential risks. By comparing with preset thresholds and rules, the intelligent recognition module can issue early warning signals to remind management personnel to take timely measures;

[0072] The historical data module is responsible for storing and managing the historical data of the opening and closing conditions of the spillway gates of the hydropower station. The historical data module provides data extraction functions at multiple time scales, such as hours, days, ten days, months, years, etc., so that managers can conduct long-term trend analysis and historical comparison. By analyzing historical data, managers can understand the operation rules and performance changes of the gates, providing reference for future maintenance and management;

[0073] The alarm data module is used to record and manage all alarm events triggered by the intelligent recognition module. The alarm data module records key information such as alarm time, alarm type, alarm level, alarm location, and processing status in detail. Managers can quickly locate the problem through the alarm data module and view historical alarm records in order to summarize lessons learned and improvement measures;

[0074] The visualization platform is used to intuitively display the data of the real-time preview module, intelligent identification module, historical data module and alarm data module to the management personnel in various forms such as charts, animations and maps;

[0075] The backtracking analysis tool is used to conduct in-depth analysis on the opening and closing condition data of the spillway gate of a hydropower station within a specific time period. It supports multiple analysis methods and models, such as time series analysis, association rule mining, causal reasoning, etc., to help managers gain an in-depth understanding of the complex dynamic characteristics of the gate operation process. Through the backtracking analysis tool, managers can trace the root cause of the problem, evaluate the impact of the event, formulate improvement plans, and verify the improvement effect.

[0076] Specifically, the real-time preview module includes image preview and data preview;

[0077] The image preview is connected with the Gongdian Industrial TV system to achieve real-time preview of the newly built audio and video imaging;

[0078] In the image preview, the real-time preview module is integrated with the Gongdian visual system through a standard network protocol (such as RTSP, RTMP, etc.) to ensure that the video and audio data can be transmitted to the system stably and efficiently.

[0079] It supports HD and even UHD video preview, ensuring that managers can clearly observe every detail of the gate and its surrounding environment, including the gate opening and closing process, water flow status, changes in the surrounding environment, etc.

[0080] Through the multiple cameras deployed by the Gong Electric Vision System, multi-angle and all-round monitoring coverage is achieved. Management personnel can switch monitoring images from different perspectives as needed to obtain more comprehensive on-site information.

[0081] Combined with the intelligent recognition module, when an abnormal situation is detected, the image preview function can automatically switch to the relevant camera screen and highlight the abnormal area so that managers can quickly locate the problem;

[0082] Data preview can realize real-time preview of analog and digital sensor data of spillway gates by connecting with cloud platform;

[0083] In the data preview, the real-time preview module establishes a connection with the cloud platform through a secure data transmission protocol (such as HTTPS, MQTT, etc.) to obtain gate sensor data in real time. The cloud platform is responsible for data collection, organization, encryption and transmission to ensure data security and integrity;

[0084] The acquired sensor data is displayed in real time on the visualization platform in the form of charts, curves, dashboards, etc. Managers can intuitively see the real-time change trends of various data and discover abnormal fluctuations in time;

[0085] Provides data screening and filtering functions, allowing managers to select specific data items, time periods or data ranges for preview as needed. This helps managers quickly locate data points of interest and improves the efficiency of data analysis;

[0086] It supports comparing real-time data with preset thresholds, historical data or other relevant data to help managers evaluate whether the gate's operating status is normal and whether there are potential risks.

[0087] Specifically, the intelligent recognition module includes an intelligent recognition model, recognition task management and recognition report;

[0088] The intelligent recognition model includes but is not limited to gate slot blockage recognition, gate slot deviation recognition, winch rope drum cable arrangement recognition, and winch motor operation acoustic recognition;

[0089] The recognition task management can customize the task name, recognition model, video stream acquisition channel, start and end time, associated alarm and other options according to different recognition requirements and spillway gate operation conditions, run the task manually or automatically, and push the command to the AI ​​analysis server;

[0090] The identification task management module allows managers to customize task names, select applicable identification models, specify video stream acquisition channels, set task start and end times, and associate alarm types based on different identification needs and spillway gate operation conditions. This flexibility ensures that tasks can accurately meet actual monitoring needs. Tasks can be set to be executed manually or automatically. In manual execution mode, managers can start tasks at any time based on actual conditions; in automatic execution mode, the system will automatically start tasks according to preset schedules or trigger conditions without manual intervention. Once a task is created and started, the corresponding commands will be pushed to the AI ​​analysis server. The AI ​​analysis server will use powerful computing power and intelligent recognition models to process and analyze the collected data to ensure efficient execution of tasks;

[0091] The identification report is generated for each identification task and provides a review function;

[0092] After each identification task is completed, the system will automatically generate a detailed identification report. The report content includes but is not limited to task overview, identification results, anomaly details, risk assessment, and recommended measures. Managers can easily access the identification report through the visualization platform.

[0093] Specifically, the historical data module includes audio and video historical data and sensor historical data;

[0094] The audio and video historical data is accessed through the industrial television system network to access the channel storage video on the hard disk recorder. During the operation of the intelligent recognition task, the saved recognition results and video streams are accessed;

[0095] The sensor historical data retrieves historical data of a certain time or period stored in the data warehouse and can generate a curve.

[0096] Specifically, the alarm data module includes alarm theme management, alarm theme monitoring rule management, alarm rule base management, and alarm and push;

[0097] Among them, the alarm theme management is used to implement the information maintenance function of the alarm monitoring theme, which can add, delete and modify the relevant information of the monitoring theme, including the monitoring theme number, name, monitoring type, maintainer, maintenance time, status push, etc.;

[0098] Alarm topic monitoring rule management is used to implement the configuration management of monitoring rules for monitoring topics. Different types of monitoring rules can be configured for different types of monitoring topics, and monitoring alarm thresholds can be set. In this project, it includes audio and video recognition data push, as well as sensor historical data push, such as abnormal opening alarm, load left / right difference alarm and other rules;

[0099] Alarm rule base management is used to manage the alarm monitoring rule base, providing functions such as adding, querying and enabling monitoring rules for various monitoring types;

[0100] Alarms and push notifications are used to push abnormal alarm information when the monitoring threshold triggers the alarm rule. The push notification method focuses on screen light frequency reminders and supports sound and light alarms.

[0101] Specifically, the visualization platform includes comprehensive monitoring, data statistics area and alarm reminder / elimination area;

[0102] The comprehensive monitoring is used to comprehensively display various operating conditions of the spillway gate, which is divided into a single spillway gate, a sand flushing bottom hole and a spillway gate or sand flushing bottom hole display panel;

[0103] The data statistics area is used to display statistical data such as the number of times the spillway gate / sand flushing bottom hole is opened and closed and the number of intelligent identification and analysis tasks within a period;

[0104] The alarm reminder / elimination area is used to display system alarms in real time, such as intelligent identification and analysis alarms, threshold abnormality alarms, device offline alarms, data extraction failure alarms, and other situations, and divide the alarm levels, severity, etc.

[0105] Specifically, the retrospective analysis tool includes custom report output, long-term monitoring of key indicators of spillway operation and maintenance, and custom analysis models;

[0106] Among them, the customized report output can customize the selection of sensor system analog quantity, digital quantity data, identification and analysis result data, and customized time period for data extraction and playback, and playback of self-built audio and video windows and data curve windows;

[0107] Long-term monitoring of key indicators of spillway operation and maintenance. You can customize key indicators of spillway operation and maintenance or build your own data indicators associated with system data. With the help of system operation, long-term monitoring and preservation are carried out. Data extraction and playback can be performed in custom time periods.

[0108] Customized analysis models can customize the selection of sensor system analog and digital data, identification and analysis result data, and provide basic function applications, or customize analysis algorithms, create new analysis tasks and output results.

[0109] Working principle: When implementing:

[0110] Establish a data warehouse: establish a data warehouse for spillway gates and sand flushing bottom holes by connecting data with the cloud platform; study audio and video imaging recognition: use audio and video imaging technology to study the imaging recognition algorithm of the spillway gate body and the opening and closing control equipment in the static and moving states of the gate; study the association between data and audio and video: conduct an associated application analysis based on the audio and video recognition data and the opening and closing working condition status data of the same period, such as the comparison of the opening degree, load data values ​​and the position of the gate body; study the operation and inspection analysis and diagnosis function: through the historical database and historical audio and video retrieval, the daily and abnormal conditions are diagnosed and retrospectively analyzed in a certain time section and video stream. The system can save long-term operating condition data for operation and maintenance personnel to call.

[0111] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for monitoring and analyzing the opening and closing condition data of a spillway gate of a hydropower station, characterized in that: The following steps are involved: S1. Establish data warehouse: Establish data warehouse for spillway gates and sand flushing bottom holes by connecting data with cloud platform; S2. Audio and video imaging recognition research: Using audio and video imaging technology to study the imaging recognition algorithm of the spillway gate body and the opening and closing control equipment in the static and moving states of the gate; S3. Data and audio and video correlation research: conduct correlation application analysis based on audio and video recognition data and synchronous opening and closing working condition status data, such as comparison of opening, load data values ​​and gate body position; S4. Research on operation and maintenance analysis and diagnosis functions: Through the retrieval of historical databases and historical audio and video to conduct a certain time section and video stream diagnosis and retrospective analysis of daily and abnormal conditions, the system can save long-term operating condition data for operation and maintenance personnel to call.

2. A monitoring and analysis system for the opening and closing condition data of a hydropower station spillway gate, characterized in that: The system comprises: Real-time preview module, intelligent identification module, historical data module, alarm data module, visualization platform and retrospective analysis tool; The real-time preview module is used to collect various key data in the process of opening and closing the spillway gate of the hydropower station in real time; The intelligent recognition module is used to perform intelligent analysis on the data collected by the real-time preview module using technologies such as machine learning and big data analysis; The historical data module is responsible for storing and managing the historical data of the opening and closing conditions of the spillway gates of the hydropower station, and provides data extraction functions at multiple time scales; The alarm data module is used to record and manage all alarm events triggered by the intelligent recognition module. The alarm data module records key information such as alarm time, alarm type, alarm level, alarm location and processing status in detail; The visualization platform is used to intuitively display the data of the real-time preview module, intelligent identification module, historical data module and alarm data module to the management personnel in various forms such as charts, animations and maps; The retrospective analysis tool is used to conduct in-depth analysis of the opening and closing condition data of the spillway gate of the hydropower station within a specific time period.

3. A monitoring and analysis system for the opening and closing condition data of a floodgate in a hydropower station as claimed in claim 2, characterized in that: The real-time preview module includes image preview and data preview; The image preview is connected with the Gongdian Industrial TV system to achieve real-time preview of the newly built audio and video imaging; Data preview is connected to the cloud platform to achieve real-time preview of analog and digital sensor data of the spillway.

4. A monitoring and analysis system for opening and closing operating condition data of a floodgate in a hydropower station as claimed in claim 2, characterized in that: The intelligent recognition module includes intelligent recognition model, recognition task management and recognition report; The intelligent recognition model includes but is not limited to gate slot blockage recognition, gate slot deviation recognition, winch rope drum cable arrangement recognition, and winch motor operation acoustic recognition; The recognition task management can customize the task name, recognition model, video stream acquisition channel, start and end time, associated alarm and other options according to different recognition requirements and spillway gate operation conditions, run the task manually or automatically, and push the command to the AI ​​analysis server; The identification report is generated for each identification task and provides a review function.

5. A monitoring and analysis system for opening and closing operating condition data of a floodgate in a hydropower station as claimed in claim 2, characterized in that: The historical data module includes audio and video historical data and sensor historical data; The audio and video historical data is accessed through the industrial television system network to access the channel storage video on the hard disk recorder. During the operation of the intelligent recognition task, the saved recognition results and video streams are accessed; The sensor historical data retrieves historical data of a certain time or period stored in the data warehouse and can generate a curve.

6. A monitoring and analysis system for the opening and closing condition data of a floodgate in a hydropower station as claimed in claim 2, characterized in that: The alarm data module includes alarm theme management, alarm theme monitoring rule management, alarm rule base management and alarm and push; Among them, the alarm theme management is used to implement the information maintenance function of the alarm monitoring theme, which can add, delete and modify the relevant information of the monitoring theme, including the monitoring theme number, name, monitoring type, maintainer, maintenance time, status push, etc.; Alarm topic monitoring rule management is used to implement the configuration management of monitoring rules for monitoring topics. Different types of monitoring rules can be configured for different types of monitoring topics, and monitoring alarm thresholds can be set. In this project, it includes audio and video recognition data push, as well as sensor historical data push, such as opening abnormality alarm, load left / right difference alarm and other rules; Alarm rule base management is used to manage the alarm monitoring rule base, providing functions such as adding, querying and enabling monitoring rules for monitoring types; Alarms and push notifications are used to push abnormal alarm information when the monitoring threshold triggers the alarm rule. The push notification method focuses on screen light frequency reminders and supports sound and light alarms.

7. A monitoring and analysis system for opening and closing operating condition data of a hydropower station spillway gate as claimed in claim 2, characterized in that: The visualization platform includes comprehensive monitoring, data statistics area and alarm reminder / elimination area; The comprehensive monitoring is used to comprehensively display the operation of the spillway gate, which is divided into a single spillway gate, a sand flushing bottom hole and a spillway gate or sand flushing bottom hole display panel; The data statistics area is used to display statistical data such as the number of times the spillway gate / sand flushing bottom hole is opened and closed and the number of intelligent identification and analysis tasks within a period; The alarm reminder / elimination area is used to display system alarms in real time, such as intelligent identification and analysis alarms, threshold abnormality alarms, device offline alarms, data extraction failure alarms, and other situations, and divide the alarm levels, severity, etc.

8. A monitoring and analysis system for opening and closing operating condition data of a floodgate in a hydropower station as claimed in claim 2, characterized in that: The retrospective analysis tool includes custom report output, long-term monitoring of key indicators of spillway operation and maintenance, and custom analysis models; Among them, the customized report output can customize the selection of sensor system analog quantity, digital quantity data, identification and analysis result data, and customized time period for data extraction and playback, and playback of self-built audio and video windows and data curve windows; Long-term monitoring of key indicators of spillway operation and maintenance. You can customize key indicators of spillway operation and maintenance or build your own data indicators associated with system data. With the help of system operation, long-term monitoring and preservation are carried out. Data extraction and playback can be performed in custom time periods. Customized analysis models can customize the selection of sensor system analog and digital data, identification and analysis result data, and provide basic function applications, or customize analysis algorithms, create new analysis tasks and output results.

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