Equipment monitoring system and method for operation of pumped storage power station

Abstract

The invention discloses an equipment monitoring system and method for operation of a pumped storage power station. The equipment monitoring system comprises an equipment end unit, an acquisition unit, a processing unit, an early warning feedback unit and a control unit, the control unit acquires real-time data of the to-be-detected equipment in real time by controlling the equipment end unit and the acquisition unit, wherein the real-time data at least comprises various information including operation images, operation data and sound wave information; the processing unit is used for correspondingly processing the acquired real-time data and analyzing the processed data, so that the leakage conditions of the equipment are evaluated, and corresponding instructions are sent out according to different leakage conditions; and the early warning feedback unit sends out a corresponding notice according to the received instruction, so that a worker can clearly know the leakage condition of the equipment in real time, and maintenance is facilitated. The hydropower station equipment leakage monitoring method has the advantages of being relatively accurate and timely in hydropower station equipment leakage monitoring.

Description

Technical Field

[0001] The invention relates to the technical field of pumped storage power stations, and in particular to a pumped storage power station operation equipment monitoring system and method. Background Art

[0002] Hydropower stations have extremely high safety requirements for production areas. In the production area, the hydropower station's generator sets, gas-insulated metal-enclosed switchgear, transformers and other oil, water and gas equipment, as well as various pipelines are very common and numerous. These devices are prone to leakage due to various reasons during long-term operation, and once the leakage worsens, major accidents will occur, posing a great threat to production operations.

[0003] In the prior art, it is usually determined whether there is leakage by monitoring the humidity of the environment and the operating conditions of the equipment. However, in actual application, it is found that some equipment is located in special areas, and its parameters such as humidity are easily affected by the environment or operating conditions, resulting in inaccurate and untimely monitoring. Summary of the invention

[0004] The purpose of the present invention is to provide a pumped storage power station operation equipment monitoring system and method. The present invention has the advantages of relatively more accurate and more timely monitoring of liquid leakage of hydropower station equipment.

[0005] The technical solution of the present invention: A pumped storage power station operation equipment monitoring system includes an equipment end unit, a collection unit, a processing unit, an early warning feedback unit and a control unit;

[0006] The device end unit includes a terminal device, which is installed on or attached to the corresponding device to be monitored and used for real-time monitoring and acquisition of device conditions;

[0007] The acquisition unit is matched with the device end unit and is used to acquire the required real-time data of the device in real time;

[0008] The processing unit performs corresponding data processing on the collected real-time data of the device, and executes corresponding processing measures according to the processing results;

[0009] The early warning feedback unit determines whether it is necessary to issue early warning information according to the received instruction;

[0010] The control unit controls each unit to operate in coordination.

[0011] In the aforementioned equipment monitoring system for the operation of a pumped-storage power station, the acquisition unit includes a variety of acquisition devices and sensor devices for acquiring real-time data including real-time images and sensor data; the equipment-end unit includes an installation structure, a configuration structure for configuring the acquisition unit, a backup energy source and a data communication structure; the acquisition unit transmits the real-time data to the processing unit directly or indirectly according to actual conditions.

[0012] In the aforementioned pumped storage power station operation equipment monitoring system, the processing unit includes a data acquisition module, a storage module, a data processing module, a data analysis module and a response module;

[0013] The data acquisition module is provided with a data receiving submodule and a data active acquisition submodule;

[0014] The data receiving submodule receives real-time data actively transmitted by the acquisition unit or the device end unit in a passive manner in real time;

[0015] The data active acquisition submodule actively sends data acquisition and upload commands to the acquisition unit according to manual instructions or preset instructions, thereby actively acquiring the latest real-time data.

[0016] In the aforementioned pumped storage power station operation equipment monitoring system, the storage module includes a source data storage submodule and a data storage submodule, the source data storage submodule is used to classify and store the received original real-time data, the original real-time data is the source data, and the data storage submodule is used to store the processed and archived data;

[0017] The data processing module is used to process the received source data; pre-process the original real-time data and extract the required features;

[0018] The data analysis module is used to analyze the data, establish a data model through the acquired features and processed data, then iterate the training of the data model, and finally use the trained data model for analysis and prediction;

[0019] The response module issues corresponding instructions according to the results of data analysis, including at least instructions of various levels including notification, warning, and alarm.

[0020] In the aforementioned pumped storage power station operation equipment monitoring system, the data analysis module has the following specific contents:

[0021] A. Data preprocessing: preprocess the acquired source data and extract the required features from the source data;

[0022] B. Feature Engineering: Perform feature engineering on the preprocessed data;

[0023] C. Model building: Building a model based on data and conducting training;

[0024] D. Predictive analysis: Use the trained model to analyze and predict equipment operation status.

[0025] In the aforementioned pumped storage power station operation equipment monitoring system, the data preprocessing described in A is specifically as follows:

[0026] A1. Data cleaning: Re-examine and verify the acquired source data, delete duplicate information, correct erroneous information and ensure data consistency;

[0027] A1.1. Missing value processing: missing values ​​are processed by deletion and filling;

[0028] A1.2. Processing of logical error values: Process logical error values ​​by deletion, overwriting and truncation;

[0029] A1.3. Duplicate value processing: remove duplicate data with unique identifiers;

[0030] A2. Data division: Divide the cleaned data into training set and test set.

[0031] In the aforementioned pumped storage power station operation equipment monitoring system, the model described in C is established, and its specific contents are as follows:

[0032] A leakage recognition model is established and trained based on data including images; the data includes at least leakage images of the object and nearby pipeline equipment, real-time operation data of the object, and acoustic wave perception signals; the real-time operation data of the object includes at least various operation data reflecting the operation status of the object including operation time, temperature, flow rate, and flow velocity; the acoustic wave perception information is obtained by an acoustic wave signal acquisition device as acoustic wave perception information.

[0033] In the aforementioned pumped-storage power station operation equipment monitoring system, the acoustic wave sensing information is obtained by acquiring acoustic wave signals when various equipment leaks, and processing the acquired signals to serve as the leakage standard acoustic wave signals of the equipment. By comparing the subsequent actual acoustic wave signals with the standard acoustic wave signals, it is evaluated and determined whether there is leakage.

[0034] A method for monitoring equipment used in the operation of a pumped storage power station, wherein a control unit obtains real-time data of a device to be detected in real time by controlling a device end unit and a collection unit, and the real-time data at least includes various information including operation images, operation data, and sound wave information;

[0035] The processing unit processes the acquired real-time data accordingly and analyzes the processed data, thereby evaluating the leakage of the equipment and issuing corresponding instructions according to different leakage conditions;

[0036] The early warning feedback unit issues corresponding notifications based on the received instructions, so that the staff can know the leakage status of the equipment in real time and clearly, which is convenient for maintenance.

[0037] Compared with the prior art, the present application collects various equipment parameters, environmental parameters, real-time images, acoustic wave signals, etc. during the operation of the equipment through the collection unit, sends them to the processing unit as source data for data processing, analyzes and compares the processed data, and judges the leakage of the equipment according to the analysis results;

[0038] This application collects data from multiple aspects of the equipment, and conducts a comprehensive analysis of the leakage of the equipment based on multi-faceted and multi-angle data, effectively preventing a single or a small number of data from being affected by other situations, thereby affecting the monitoring structure;

[0039] This application uses data preprocessing and other methods, combined with data modeling technology, to establish and train a leakage identification model, which greatly improves the monitoring accuracy and response speed of equipment leakage and prevents major hidden dangers.

[0040] Therefore, the present invention has the advantage of relatively more accurate and more timely monitoring of liquid leakage in hydropower station equipment. DETAILED DESCRIPTION

[0041] The present invention will be further described below in conjunction with the embodiments, but they are not intended to limit the present invention.

[0042] Embodiment. A pumped storage power station operation equipment monitoring system includes an equipment end unit, a collection unit, a processing unit, an early warning feedback unit and a control unit;

[0043] The device end unit includes a terminal device, which is installed on or attached to the corresponding device to be monitored and used for real-time monitoring and acquisition of device conditions;

[0044] The acquisition unit is matched with the device end unit and is used to acquire the required real-time data of the device in real time;

[0045] The processing unit performs corresponding data processing on the collected real-time data of the device, and executes corresponding processing measures according to the processing results;

[0046] The early warning feedback unit determines whether it is necessary to issue early warning information according to the received instruction;

[0047] The control unit controls each unit to operate in coordination.

[0048] The acquisition unit includes a variety of acquisition devices and sensor devices for acquiring real-time data including real-time images and sensor data; the device end unit includes an installation structure, a configuration structure for configuring the acquisition unit, a backup energy source and a data communication structure; the acquisition unit transmits the real-time data to the processing unit directly or indirectly according to actual conditions.

[0049] The processing unit includes a data acquisition module, a storage module, a data processing module, a data analysis module and a response module;

[0050] The data acquisition module is provided with a data receiving submodule and a data active acquisition submodule;

[0051] The data receiving submodule receives real-time data actively transmitted by the acquisition unit or the device end unit in a passive manner in real time;

[0052] The data active acquisition submodule actively sends data acquisition and upload commands to the acquisition unit according to manual instructions or preset instructions, thereby actively acquiring the latest real-time data.

[0053] The storage module includes a source data storage submodule and a data storage submodule. The source data storage submodule is used to classify and store the received original real-time data, where the original real-time data is the source data, and the data storage submodule is used to store the processed and archived data;

[0054] The data processing module is used to process the received source data; pre-process the original real-time data and extract the required features;

[0055] The data analysis module is used to analyze the data, establish a data model through the acquired features and processed data, then iterate the training of the data model, and finally use the trained data model for analysis and prediction;

[0056] The response module issues corresponding instructions according to the results of data analysis, including at least instructions of various levels including notification, warning, and alarm.

[0057] The data analysis module has the following specific contents:

[0058] A. Data preprocessing: preprocess the acquired source data and extract the required features from the source data;

[0059] B. Feature Engineering: Perform feature engineering on the preprocessed data;

[0060] C. Model building: Building a model based on data and conducting training;

[0061] D. Predictive analysis: Use the trained model to analyze and predict equipment operation status.

[0062] The data preprocessing described in A is as follows:

[0063] A1. Data cleaning: Re-examine and verify the acquired source data, delete duplicate information, correct erroneous information and ensure data consistency;

[0064] A1.1. Missing value processing: missing values ​​are processed by deletion and filling;

[0065] A1.2. Processing of logical error values: Process logical error values ​​by deletion, overwriting and truncation;

[0066] A1.3. Duplicate value processing: remove duplicate data with unique identifiers;

[0067] A2. Data division: Divide the cleaned data into training set and test set.

[0068] The model described in C is established, and its specific contents are as follows:

[0069] A leakage recognition model is established and trained based on data including images; the data includes at least leakage images of the object and nearby pipeline equipment, real-time operation data of the object, and acoustic wave perception signals; the real-time operation data of the object includes at least various operation data reflecting the operation status of the object including operation time, temperature, flow rate, and flow velocity; the acoustic wave perception information is obtained by an acoustic wave signal acquisition device as acoustic wave perception information.

[0070] The acoustic wave sensing information is obtained by acquiring acoustic wave signals when various devices leak, and processing the acquired signals to serve as standard acoustic wave signals for leakage of the device. The subsequent actual acoustic wave signals are compared with the standard acoustic wave signals to evaluate whether there is leakage.

[0071] A method for monitoring equipment used in the operation of a pumped storage power station, wherein a control unit obtains real-time data of a device to be detected in real time by controlling a device end unit and a collection unit, and the real-time data at least includes various information including operation images, operation data, and sound wave information;

[0072] The processing unit processes the acquired real-time data accordingly and analyzes the processed data, thereby evaluating the leakage of the equipment and issuing corresponding instructions according to different leakage conditions;

[0073] The early warning feedback unit sends corresponding notifications based on the received instructions, so that the staff can know the leakage status of the equipment in real time and clearly, which is convenient for maintenance.

Claims

1. A pumped storage power station operation equipment monitoring system, characterized in that: It includes a device end unit, a collection unit, a processing unit, a warning feedback unit and a control unit; The device end unit includes a terminal device installed on or attached to the corresponding device to be monitored for real-time monitoring and acquisition of device conditions; The acquisition unit is matched with the device end unit and is used to acquire the required real-time data of the device in real time; The processing unit performs corresponding data processing on the collected real-time data of the device, and executes corresponding processing measures according to the processing results; The early warning feedback unit determines whether it is necessary to issue early warning information according to the received instruction; The control unit controls each unit to operate in coordination.

2. A pumped storage power station operation equipment monitoring system according to claim 1, characterized in that: The acquisition unit includes a variety of acquisition devices and sensor devices for acquiring real-time data including real-time images and sensor data; the device end unit includes an installation structure, a configuration structure for configuring the acquisition unit, a backup energy source and a data communication structure; the acquisition unit transmits the real-time data to the processing unit directly or indirectly according to actual conditions.

3. A pumped storage power station operation equipment monitoring system according to claim 1, characterized in that: The processing unit includes a data acquisition module, a storage module, a data processing module, a data analysis module and a response module; The data acquisition module is provided with a data receiving submodule and a data active acquisition submodule; The data receiving submodule receives real-time data actively transmitted by the acquisition unit or the device end unit in a passive manner in real time; The data active acquisition submodule actively sends data acquisition and upload commands to the acquisition unit according to manual instructions or preset instructions, thereby actively acquiring the latest real-time data.

4. A pumped storage power station operation equipment monitoring system according to claim 3, characterized in that: The storage module includes a source data storage submodule and a data storage submodule. The source data storage submodule is used to classify and store the received original real-time data, where the original real-time data is the source data, and the data storage submodule is used to store the processed and archived data; The data processing module is used to process the received source data; pre-process the original real-time data and extract the required features; The data analysis module is used to analyze the data, establish a data model through the acquired features and processed data, then iterate the training of the data model, and finally use the trained data model for analysis and prediction; The response module issues corresponding instructions according to the results of data analysis, including at least instructions of various levels including notification, warning, and alarm.

5. A pumped storage power station operation equipment monitoring system according to claim 4, characterized in that: The data analysis module has the following specific contents: A. Data preprocessing: preprocess the acquired source data and extract the required features from the source data; B. Feature Engineering: Perform feature engineering on the preprocessed data; C. Model building: Building a model based on data and conducting training; D. Predictive analysis: Use the trained model to analyze and predict equipment operation status.

6. A pumped storage power station operation equipment monitoring system according to claim 5, characterized in that: The data preprocessing described in A is as follows: A1. Data cleaning: Re-examine and verify the acquired source data, delete duplicate information, correct erroneous information and ensure data consistency; A1.

1. Missing value processing: missing values ​​are processed by deletion and filling; A1.

2. Processing of logical error values: Process logical error values ​​by deletion, overwriting and truncation; A1.

3. Duplicate value processing: remove duplicate data with unique identifiers; A2. Data division: Divide the cleaned data into training set and test set.

7. A pumped storage power station operation equipment monitoring system according to claim 5, characterized in that: The model described in C is established, and its specific contents are as follows: A leakage recognition model is established and trained based on data including images; the data includes at least leakage images of the object and nearby pipeline equipment, real-time operation data of the object, and acoustic wave perception signals; the real-time operation data of the object includes at least various operation data reflecting the operation status of the object including operation time, temperature, flow rate, and flow velocity; the acoustic wave perception information is obtained by an acoustic wave signal acquisition device as acoustic wave perception information.

8. A pumped storage power station operation equipment monitoring system according to claim 7, characterized in that: The acoustic wave sensing information is obtained by acquiring acoustic wave signals when various devices leak, and processing the acquired signals to serve as standard acoustic wave signals for leakage of the device. The subsequent actual acoustic wave signals are compared with the standard acoustic wave signals to evaluate whether there is leakage.

9. A method for monitoring equipment for operation of a pumped-storage power station according to a system for monitoring equipment for operation of a pumped-storage power station according to any one of claims 1 to 8, characterized in that: The control unit obtains real-time data of the device to be detected in real time by controlling the device end unit and the acquisition unit. The real-time data includes at least various information including operation images, operation data, and sound wave information; The processing unit processes the acquired real-time data accordingly and analyzes the processed data, thereby evaluating the leakage of the equipment and issuing corresponding instructions according to different leakage conditions; The early warning feedback unit sends corresponding notifications based on the received instructions, so that the staff can know the leakage status of the equipment in real time and clearly, which is convenient for maintenance.