Intelligent remote monitoring method and system for water-turbine generator set

Abstract

The invention provides an intelligent remote monitoring method and system for a water-turbine generator set, and relates to the technical field of unit monitoring, and the method comprises the steps: analyzing and extracting a monitoring constraint set, traversing a monitoring device library to carry out matching type selection, constructing a remote monitoring network, interacting the remote monitoring network to carry out online monitoring, and collecting a multi-dimensional monitoring data set. And the data are transmitted to a remote monitoring center, then real-time analysis is carried out to determine the operation state of the water-turbine generator set, a real-time monitoring result is obtained, and finally response control of the water-turbine generator set is carried out. The technical problems that potential faults and problems of the generator set cannot be found in time and the stable operation and the power generation efficiency of a hydroelectric power plant are further influenced due to the fact that monitoring and data transmission cannot be comprehensively carried out in real time and processing is insufficient in the prior art can be solved, real-time monitoring and data analysis of various indexes of the generator set are achieved, and the power generation efficiency of the hydroelectric power plant is improved. And abnormal conditions can be found in time and early warning is carried out, so that the safety of the hydroelectric power station is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of monitoring a hydro-generator set, and in particular to an intelligent remote monitoring method and system for a hydro-generator set. Background Art

[0002] With the continuous advancement of information and networking technology, the industrial field is moving towards intelligence and remoteness. Intelligent remote monitoring methods are a concrete manifestation of this trend, which allows real-time monitoring of generator sets through the Internet, improving management efficiency and response speed.

[0003] At present, although the existing monitoring technology of hydropower generator sets has achieved certain results, there are still some problems and shortcomings. Traditional monitoring methods often rely on manual inspections and regular maintenance, which is not only inefficient but also difficult to detect potential problems in a timely manner. At the same time, some existing remote monitoring systems have limitations in data transmission, processing and analysis, and cannot meet the needs of comprehensive and real-time monitoring of the status of generator sets.

[0004] In summary, the existing technology cannot conduct real-time and comprehensive monitoring, and data transmission and processing are insufficient, resulting in the inability to timely discover potential faults and problems of the generator set, further affecting the stable operation of the hydropower station and the technical problems of power generation efficiency. Summary of the invention

[0005] The main purpose of the present invention is to provide an intelligent remote monitoring method and system for a hydro-turbine generator set, so as to solve the technical problems that the prior art cannot perform real-time and comprehensive monitoring, data transmission and processing are insufficient, resulting in the inability to timely discover potential faults and problems of the generator set, further affecting the stable operation and power generation efficiency of the hydroelectric power station.

[0006] In order to solve the above technical problems, the technical solution adopted by the present invention is: an intelligent remote monitoring method for a hydro-generator set, the method comprising: Based on the monitoring requirements of the power station in the target area, a monitoring constraint set is parsed and extracted, wherein the monitoring constraint set includes a monitoring indicator constraint and a monitoring granularity constraint; Taking the monitoring constraint set as the index feature, traverse the monitoring device library, perform matching and selection, and build a remote monitoring network; Interacting with the remote monitoring network, performing online monitoring of the hydro-generator sets in the target area, collecting multi-dimensional monitoring data sets, and transmitting the multi-dimensional monitoring data sets to the remote monitoring center; The remote monitoring center performs real-time analysis on the received multi-dimensional monitoring data set based on the embedded multi-mode intelligent parser, determines the operating status of the hydro-generator set, and obtains real-time monitoring results; Based on the real-time monitoring results, response control of the hydro-generator set is performed.

[0007] In a preferred solution, the monitoring constraint set is used as an index feature to traverse the monitoring device library, perform matching and selection, and build a remote monitoring network, including: Based on the monitoring constraint set, calling the monitoring indicator constraint, wherein the monitoring indicator constraint includes a monitoring performance indicator constraint and a transmission performance indicator constraint; According to the monitoring performance indicator constraint, traverse the monitoring device library for matching and obtain a single-label device set; In combination with the single-standard equipment set and the transmission performance indicator constraint, monitoring equipment for the hydro-generator sets in the target area is deployed to obtain a remote monitoring network.

[0008] Furthermore, combining the single-standard equipment set with the transmission performance indicator constraint, the monitoring equipment of the hydro-generator set in the target area is deployed to obtain a remote monitoring network, including: Calling the monitoring requirements of the power station in the target area, analyzing and extracting monitoring topology information, wherein the monitoring topology information includes monitoring nodes, monitoring clusters, monitoring levels, and monitoring directions; Based on the single-label device set and in combination with the monitoring topology information, a pre-built monitoring network is generated; Based on the transmission performance indicator constraint and in combination with the single-standard equipment set, a dual-objective verification of the pre-built monitoring network is performed; Based on the dual-objective verification result, the single-standard equipment set is optimized, and based on the optimization result, the pre-constructed monitoring network is updated to obtain the remote monitoring network.

[0009] Furthermore, before the remote monitoring center performs real-time analysis on the received multi-dimensional monitoring data set based on the embedded multi-mode intelligent parser, it also includes: Acquire historical monitoring data of the hydro-generator set and construct a plurality of analytical submodules, wherein the plurality of analytical submodules correspond to a plurality of analytical functions; Call the monitoring requirements of the power station in the target area and locate the multi-dimensional analysis target; Based on the multi-dimensional parsing target, a plurality of the parsing sub-modules are called and screened to generate the multi-mode intelligent parser, wherein the multi-mode intelligent parser includes an input allocation switch.

[0010] Further, based on the real-time monitoring result, response control of the hydro-generator set is performed, including: Construct the response control matrix of the hydro-generator set; Analyze the real-time monitoring results and extract the monitoring results of the first hydro-generator set; Based on the hydro-generator set response control matrix and according to the monitoring result of the first hydro-generator set, single-point response control of the first hydro-generator set is performed.

[0011] Furthermore, the method further comprises: Based on the monitoring topology information, analyzing the real-time monitoring results to obtain cascade power station monitoring data; The cascade power station joint dispatching strategy is called, and the cascade power station monitoring data is responded to to perform the cascade joint response control of the hydro-generator sets.

[0012] In a preferred embodiment, the method further comprises: Based on the monitoring requirements of the power station in the target area, configure the monitoring update cycle; The configuration of the remote monitoring network is updated according to the monitoring update cycle.

[0013] In a preferred embodiment, the method further comprises: Constructing an emergency response catalog, wherein the emergency response catalog includes emergency response objects, emergency response measures, and emergency response terminal addresses; Based on the real-time monitoring results, traverse the emergency response directory to obtain an emergency response instruction set; According to the emergency response instruction set, the real-time monitoring results are transmitted to the emergency response terminal for visual response.

[0014] The monitoring index constraints include electrical parameters, mechanical parameters and environmental parameters, wherein electrical parameters include voltage, current and power factor, mechanical parameters include generator speed, bearing temperature and vibration, and environmental parameters include temperature, humidity and air pressure; the monitoring granularity constraints include data acquisition frequency, data accuracy and the granularity of data storage and processing, wherein data acquisition frequency is the frequency at which the monitoring system collects data, data accuracy is the accuracy requirement that the monitoring system needs to achieve when collecting data to ensure the accuracy and reliability of the data, and the granularity of data storage and processing is the accuracy with which the monitoring system stores and processes the collected data. The granularity of data storage determines the traceability of historical data and the level of detail in the analysis, and the granularity of data processing affects the real-time and response speed of the monitoring system.

[0015] The present application also provides an intelligent remote monitoring system for a hydro-turbine generator set, which adopts the intelligent remote monitoring method for a hydro-turbine generator set to perform remote monitoring and early warning on the hydro-turbine generator set.

[0016] One or more technical solutions provided in this application have at least the following technical effects or advantages: Based on the monitoring requirements of the power station in the target area, the monitoring constraint set is parsed and extracted, wherein the monitoring constraint set includes monitoring indicator constraints and monitoring granularity constraints; the monitoring constraint set is used as an index feature to traverse the monitoring equipment library, perform matching and selection, and build a remote monitoring network; the remote monitoring network is interacted with to perform online monitoring of the hydro-turbine generator set in the target area, collect a multi-dimensional monitoring data set, and transmit the multi-dimensional monitoring data set to a remote monitoring center; the remote monitoring center performs real-time analysis on the received multi-dimensional monitoring data set based on an embedded multi-mode intelligent parser, determines the operating status of the hydro-turbine generator set, and obtains real-time monitoring results; based on the real-time monitoring results, the response control of the hydro-turbine generator set is performed, which effectively solves the technical problems that the existing technology cannot perform real-time and comprehensive monitoring, data transmission and processing are insufficient, resulting in the inability to timely discover potential faults and problems of the generator set, further affecting the stable operation and power generation efficiency of the hydropower station, and realizes real-time monitoring and data analysis of various indicators of the generator set, timely discovers abnormal situations and issues early warnings, thereby improving the safety of the hydropower station.

[0017] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented according to the contents of the specification, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are specifically cited below. It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easy to understand through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the present application or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0019] Figure 1 A schematic flow chart of an intelligent remote monitoring method for a hydro-generator set according to the present application.

[0020] Figure 2 A schematic diagram of a flow chart of obtaining a remote monitoring network in an intelligent remote monitoring method for a hydro-generator set according to the present application. DETAILED DESCRIPTION

[0021] The present application provides an intelligent remote monitoring method for a hydro-turbine generator set, thereby solving the technical problems that the prior art cannot conduct real-time and comprehensive monitoring, data transmission and processing are insufficient, resulting in the inability to timely detect potential faults and problems of the generator set, further affecting the stable operation and power generation efficiency of the hydroelectric power station. The application realizes real-time monitoring and data analysis of various indicators of the generator set, timely detects abnormal situations and issues early warnings, thereby improving the safety of the hydroelectric power station.

[0022] Below, the technical solutions in the present application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments of the present application. It should be understood that the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application. It should also be noted that, for the convenience of description, only the parts related to the present application are shown in the accompanying drawings, rather than all of them.

[0023] Embodiment 1 Please see attached Figure 1 The present application provides an intelligent remote monitoring method for a hydro-generator set, wherein the method specifically comprises the following steps: S1: parsing and extracting a monitoring constraint set based on the monitoring requirements of the power station in the target area, wherein the monitoring constraint set includes a monitoring indicator constraint and a monitoring granularity constraint; Specifically, monitoring index constraints include key parameters and performance indicators during the operation of the power plant. These indicators need to be monitored in real time to ensure the normal operation of the power plant. Specifically, they include electrical parameters, such as voltage, current, power factor, etc. These parameters directly reflect the operating status and power quality of the power plant. Mechanical parameters, such as generator speed, bearing temperature, vibration, etc. Environmental parameters, such as temperature, humidity, air pressure, etc. in the power plant. Monitoring granularity constraints include data collection frequency, accuracy, and granularity of data storage and processing. Specifically, they include data collection frequency, that is, how often the monitoring system collects data. This frequency needs to be determined based on the actual operation requirements of the power plant and the performance of the monitoring system to ensure that abnormal situations can be discovered and responded to in a timely manner. Data accuracy, the data collected by the monitoring system needs to meet certain accuracy requirements to ensure the accuracy and reliability of the data. The level of data accuracy directly affects the performance of the monitoring system and the safe operation of the power plant. Data storage and processing granularity, the monitoring system needs to store and process the collected data. The granularity of data storage determines the traceability of historical data and the level of detail of analysis, while the granularity of data processing affects the real-time and response speed of the monitoring system.

[0024] S2: Using the monitoring constraint set as an index feature, traverse the monitoring device library, perform matching and selection, and build a remote monitoring network; Specifically, choose a high-resolution, low-light CCD camera to ensure that clear images can be captured even in low-light environments. For example, choose a black-and-white camera or a color camera with a resolution of more than 400 lines. For short-distance transmission, you can choose a video baseband transmission method; for long-distance transmission, you can choose radio frequency transmission or optical cable transmission to ensure that the clarity and grayscale of the image signal do not decrease. According to specific needs, select a suitable switching controller, video distributor, etc. to achieve multiple monitoring of the same or multiple targets. VPN networking, SD-WAN technology, or a remote networking solution similar to Dandelion can be used to achieve remote access and monitoring. Establish an efficient data transmission mechanism to ensure the real-time, integrity, and security of monitoring data. At the same time, set a reasonable data storage strategy for subsequent data analysis and backtracking.

[0025] S3: interacting with the remote monitoring network, performing online monitoring of the hydro-generator sets in the target area, collecting a multi-dimensional monitoring data set, and transmitting the multi-dimensional monitoring data set to a remote monitoring center; Specifically, use technical means such as Wi-Fi, 4G LTE network or cloud storage services to connect monitoring cameras or sensors to the remote monitoring center. Ensure that the network connection is stable so that monitoring data can be transmitted in real time. Install sensors on the hydro-turbine generator set, such as bearing vibration sensors and bearing temperature sensors for mechanical monitoring, winding temperature sensors and voltage and current sensors for electrical monitoring. These sensors will continuously collect various parameter information of the hydro-turbine generator set. The data collected by the sensors are pre-processed by the signal processing unit and the data acquisition device. Using multi-dimensional data acquisition technology, extract key information from the log and perform secondary processing, such as formula calculation, IP conversion and information mapping, to meet the requirements of calculation, storage and display. The processed multi-dimensional monitoring data set is transmitted to the remote monitoring center in real time through the network.

[0026] S4: The remote monitoring center performs real-time analysis on the received multi-dimensional monitoring data set based on the embedded multi-mode intelligent parser, determines the operating status of the hydro-generator set, and obtains real-time monitoring results; Specifically, a multi-dimensional monitoring data set is received from the monitoring system. The data set contains various parameters, such as electrical parameters, voltage, current, etc., mechanical parameters, vibration, temperature, etc., environmental parameters, and safety indicators. The received data is preprocessed, including data cleaning, format conversion, etc., for subsequent intelligent analysis. The multi-mode intelligent parser uses data mining, pattern recognition, machine learning, etc. to conduct in-depth analysis of the preprocessed data. The parser can identify abnormal patterns in the data, such as sudden increase in vibration, abnormal temperature increase, etc. By comparing historical data with preset safety thresholds, the parser can determine whether the current operating status of the generator set is normal. Based on the analysis results of the intelligent parser, the remote monitoring center can determine the real-time operating status of the hydro-turbine generator set.

[0027] S5: Based on the real-time monitoring results, response control of the hydro-generator set is performed.

[0028] Specifically, the operating status of the hydro-generator unit is comprehensively evaluated based on the real-time monitoring results. By comparing the preset safety thresholds and historical data, any abnormalities or signs of failure, such as abnormal temperature and excessive vibration, are identified. Once an abnormality is found, the early warning mechanism is triggered. For some abnormal conditions that can be adjusted through automation, such as excessive temperature, the cooling system can be automatically started or the unit operating parameters can be adjusted to reduce the temperature. When the unit vibrates too much, the unit speed or load distribution can be adjusted to reduce vibration.

[0029] Further, if Figure 2 As shown, step S2 of the present application also includes: Based on the monitoring constraint set, calling the monitoring indicator constraint, wherein the monitoring indicator constraint includes a monitoring performance indicator constraint and a transmission performance indicator constraint; According to the monitoring performance indicator constraint, traverse the monitoring device library for matching and obtain a single-label device set; In combination with the single-standard equipment set and the transmission performance indicator constraint, monitoring equipment for the hydro-generator sets in the target area is deployed to obtain a remote monitoring network.

[0030] Specifically, the monitoring constraint set contains the requirements and restrictions on the monitoring system. These constraints include monitoring accuracy, response time, data transmission rate, data security, etc. Specific monitoring indicator constraints are extracted from the monitoring constraint set. Monitoring indicator constraints are divided into monitoring performance indicator constraints, such as accuracy, sensitivity, stability, etc. and transmission performance indicator constraints, such as transmission rate, delay, packet loss rate, etc. According to the monitoring performance indicator constraints, the monitoring device library is traversed to find devices that meet these performance requirements. The selected devices constitute a single-standard device set, that is, a set of devices that meet the monitoring performance indicators. Among the devices that meet the monitoring performance indicators, the transmission performance indicator constraints are further considered. Select those devices that not only meet the monitoring performance standards, but also meet the transmission performance requirements. According to the layout and actual needs of the hydropower generator units in the target area, as well as the performance characteristics of the selected devices, the layout planning of the monitoring equipment is carried out. Ensure that the monitoring equipment can fully cover the target area and meet the performance requirements of monitoring and transmission. After the equipment is laid out, these devices are connected through the network to form a complete remote monitoring network. This network can collect multi-dimensional monitoring data of the hydropower generator units in real time and transmit the data to the remote monitoring center efficiently and stably.

[0031] Furthermore, the present application also includes: Calling the monitoring requirements of the power station in the target area, analyzing and extracting monitoring topology information, wherein the monitoring topology information includes monitoring nodes, monitoring clusters, monitoring levels, and monitoring directions; Based on the single-label device set and in combination with the monitoring topology information, a pre-built monitoring network is generated; Based on the transmission performance indicator constraint and in combination with the single-standard equipment set, a dual-objective verification of the pre-built monitoring network is performed; Based on the dual-objective verification result, the single-standard equipment set is optimized, and based on the optimization result, the pre-constructed monitoring network is updated to obtain the remote monitoring network.

[0032] Specifically, the monitoring requirements of the power station in the target area include the equipment, parameters, frequency, etc. that need to be monitored. The monitoring topology information is analyzed and extracted from the monitoring requirements, including the specific monitoring points of the monitoring nodes, such as the key parts of the hydropower generator set. Monitoring cluster A group of related or adjacent monitoring nodes. Monitoring direction The direction of data collection and transmission, such as from the equipment to the monitoring center. Based on the equipment set and monitoring topology information that meet the monitoring performance index constraints of the single-standard equipment set, a pre-built monitoring network is initially constructed. The pre-built monitoring network is verified using the transmission performance index constraints, which include data transmission rate, delay, stability, etc. The dual-objective verification aims to ensure that the monitoring network not only meets the monitoring performance requirements, but also meets the data transmission performance requirements. According to the results of the dual-objective verification, the single-standard equipment set is selected and optimized. Replace the equipment with poor performance or adjust the configuration of the equipment. Based on the selection optimization results, the pre-built monitoring network is updated to ensure that all equipment meets the monitoring requirements and performance index constraints. The final monitoring network is the required remote monitoring network. This network can comprehensively and efficiently monitor the hydropower generator sets in the target area and transmit data to the monitoring center.

[0033] Furthermore, the present application also includes: Acquire historical monitoring data of the hydro-generator set and construct a plurality of analytical submodules, wherein the plurality of analytical submodules correspond to a plurality of analytical functions; Call the monitoring requirements of the power station in the target area and locate the multi-dimensional analysis target; Based on the multi-dimensional parsing target, a plurality of the parsing sub-modules are called and screened to generate the multi-mode intelligent parser, wherein the multi-mode intelligent parser includes an input allocation switch.

[0034] Specifically, the historical monitoring data of the hydro-generator set is obtained from the database or data warehouse of the power station. These data include the operating status, electrical parameters, mechanical parameters, ambient temperature and humidity of the set, etc. According to the type of historical monitoring data and the monitoring requirements of the power station, multiple parsing submodules with different parsing functions are constructed. For example, a submodule for analyzing the vibration of the set, a submodule for analyzing the electrical performance, a submodule for analyzing the temperature change, etc. can be constructed. According to the monitoring requirements, the specific goals of the multi-dimensional parsing are determined, such as identifying abnormal patterns, predicting maintenance needs, optimizing operation strategies, etc. Based on the multi-dimensional parsing goals, appropriate modules are selected from the constructed parsing submodules for combination. Ensure that the selected submodules can jointly achieve the multi-dimensional parsing goals and provide comprehensive data analysis functions. The selected parsing submodules are integrated into a unified framework to form a multi-mode intelligent parser. This parser can receive various types of historical monitoring data and perform data processing and analysis according to preset algorithms and models. The input allocation gate is a multi-mode intelligent parser that is responsible for allocating input data to different parsing submodules.

[0035] Furthermore, the present application also includes: Construct the response control matrix of the hydro-generator set; Analyze the real-time monitoring results and extract the monitoring results of the first hydro-generator set; Based on the hydro-generator set response control matrix and according to the monitoring result of the first hydro-generator set, single-point response control of the first hydro-generator set is performed.

[0036] Specifically, the key monitoring parameters in the operation of the hydro-turbine generator set are identified, such as temperature, vibration, speed, voltage, current, etc. A series of control strategies or measures are formulated for each key monitoring parameter. These include automatically adjusting the unit parameters, starting the backup system, sending alarms, etc. A two-dimensional response control matrix is ​​constructed with key monitoring parameters as rows and control strategies as columns. In this matrix, each cell represents the control strategy to be taken when a specific monitoring parameter reaches a certain threshold. Real-time monitoring data, which includes the real-time values ​​of all key monitoring parameters, are obtained from the remote monitoring center. The monitoring results of the first hydro-turbine generator set are extracted from the real-time monitoring data. The monitoring results of the first hydro-turbine generator set are compared with the thresholds in the response control matrix. Based on the comparison results, the control strategy to be taken is determined. For example, if a key parameter exceeds the safety threshold, the matrix may indicate that the unit load is automatically reduced or the cooling system is started. The determined control strategy is converted into a specific control command and sent to the first hydro-turbine generator set to achieve single-point response control.

[0037] Furthermore, the present application also includes: Based on the monitoring topology information, analyzing the real-time monitoring results to obtain cascade power station monitoring data; The cascade power station joint dispatching strategy is called, and the cascade power station monitoring data is responded to to perform the cascade joint response control of the hydro-generator sets.

[0038] Specifically, the real-time monitoring results are parsed using the extracted monitoring topology information, especially the monitoring nodes, monitoring clusters and monitoring directions. Through the topology information, it is identified which data are from each hydro-generator unit of the cascade power station, as well as the location and role of these data in the overall monitoring network. Data related to the cascade power station are screened out from the real-time monitoring results, including water level, flow, generator unit operating status, power output, etc. According to the actual situation and operation objectives of the cascade power station, the preset joint dispatching strategy is called. Including maximizing power generation efficiency, ensuring downstream water demand, reducing water abandonment, etc. The acquired cascade power station monitoring data is combined with the joint dispatching strategy to analyze the current operating status of the cascade power station and the adjustments that need to be made. According to the data analysis results, it is determined how each hydro-generator unit should work together to meet the goal of joint dispatching. Control instructions are sent to each hydro-generator unit to realize cascade joint response control. Control instructions include adjusting the output of the generator unit, starting and stopping operations, adjusting the gate opening, etc.

[0039] Furthermore, the present application also includes: Based on the monitoring requirements of the power station in the target area, configure the monitoring update cycle; The configuration of the remote monitoring network is updated according to the monitoring update cycle.

[0040] Specifically, determine which monitoring data needs to be updated in real time and which can be updated regularly. Set different update cycles for different types of monitoring data based on the urgency of monitoring needs and the frequency of data changes. For example, for key safety monitoring data, such as unit vibration, temperature, etc., you may need to set a shorter update cycle, such as a few seconds or minutes. For some relatively stable or slowly changing data, such as reservoir water level, ambient temperature, etc., you can set a longer update cycle, such as a few hours or a day. Based on the configured monitoring update cycle, adjust the sampling frequency and data transmission settings of related devices in the remote monitoring network. Ensure that the monitoring equipment can collect and send data according to the set cycle. Send the new configuration information to the relevant devices in the remote monitoring network.

[0041] Furthermore, the present application also includes: Constructing an emergency response catalog, wherein the emergency response catalog includes emergency response objects, emergency response measures, and emergency response terminal addresses; Based on the real-time monitoring results, traverse the emergency response directory to obtain an emergency response instruction set; According to the emergency response instruction set, the real-time monitoring results are transmitted to the emergency response terminal for visual response.

[0042] Specifically, the response objects include various possible emergencies and corresponding equipment or systems, such as generator failure, power grid anomaly, natural disasters, etc. For each emergency response object, formulate specific response measures, such as starting the backup power supply, closing specific valves, and performing equipment maintenance. Record the terminal address corresponding to each emergency response measure to ensure that the relevant person in charge can be quickly contacted or the information can be sent to the correct emergency response terminal in an emergency. Collect the operation data of the power station in real time through sensors and monitoring systems. Compare the real-time monitoring results with the emergency response objects in the emergency response directory to determine whether any abnormal situation has occurred. Once an abnormal situation is detected, retrieve the corresponding emergency response measures and emergency response terminal addresses from the directory according to the corresponding emergency response object. Send the real-time monitoring results and abnormal situation information to the corresponding emergency response terminal address. On the emergency response terminal, display the abnormal situation through charts, alarms or other visual methods to make quick decisions.

[0043] Embodiment 2: The present application also provides an intelligent remote monitoring system for a hydro-turbine generator set, which adopts the intelligent remote monitoring method for a hydro-turbine generator set to perform remote monitoring and early warning on the hydro-turbine generator set.

[0044] In summary, the intelligent remote monitoring method and system for a hydro-generator set provided by the present application has the following technical effects: Based on the monitoring requirements of the power station in the target area, the monitoring constraint set is parsed and extracted, wherein the monitoring constraint set includes monitoring indicator constraints and monitoring granularity constraints; the monitoring constraint set is used as an index feature to traverse the monitoring equipment library, perform matching and selection, and build a remote monitoring network; the remote monitoring network is interacted with to perform online monitoring of the hydro-turbine generator set in the target area, collect a multi-dimensional monitoring data set, and transmit the multi-dimensional monitoring data set to a remote monitoring center; the remote monitoring center performs real-time analysis on the received multi-dimensional monitoring data set based on an embedded multi-mode intelligent parser, determines the operating status of the hydro-turbine generator set, and obtains real-time monitoring results; based on the real-time monitoring results, the response control of the hydro-turbine generator set is performed, which effectively solves the technical problems that the existing technology cannot perform real-time and comprehensive monitoring, data transmission and processing are insufficient, resulting in the inability to timely discover potential faults and problems of the generator set, further affecting the stable operation and power generation efficiency of the hydropower station, and realizes real-time monitoring and data analysis of various indicators of the generator set, timely discovers abnormal situations and issues early warnings, thereby improving the safety of the hydropower station.

[0045] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

[0046] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application belong to the scope of the present application and its equivalent technology, the present application is also intended to include these modifications and variations.

Claims

1. An intelligent remote monitoring method for a hydro-generator set, characterized in that: The method comprises: Based on the monitoring requirements of the power station in the target area, a monitoring constraint set is parsed and extracted, wherein the monitoring constraint set includes a monitoring indicator constraint and a monitoring granularity constraint; Taking the monitoring constraint set as the index feature, traverse the monitoring device library, perform matching and selection, and build a remote monitoring network; Interacting with the remote monitoring network, performing online monitoring of the hydro-generator sets in the target area, collecting multi-dimensional monitoring data sets, and transmitting the multi-dimensional monitoring data sets to the remote monitoring center; The remote monitoring center performs real-time analysis on the received multi-dimensional monitoring data set based on the embedded multi-mode intelligent parser, determines the operating status of the hydro-generator set, and obtains real-time monitoring results; Based on the real-time monitoring results, response control of the hydro-generator set is performed.

2. The intelligent remote monitoring method of a hydro-generator set according to claim 1, characterized in that: Taking the monitoring constraint set as the index feature, traverse the monitoring device library, perform matching and selection, and build a remote monitoring network, including: Based on the monitoring constraint set, calling the monitoring indicator constraint, wherein the monitoring indicator constraint includes a monitoring performance indicator constraint and a transmission performance indicator constraint; According to the monitoring performance indicator constraint, traverse the monitoring device library for matching and obtain a single-label device set; In combination with the single-standard equipment set and the transmission performance indicator constraint, monitoring equipment for the hydro-generator sets in the target area is deployed to obtain a remote monitoring network.

3. The intelligent remote monitoring method of a hydro-generator set according to claim 2, characterized in that: Combining the single-standard equipment set with the transmission performance indicator constraint, the monitoring equipment of the hydro-generator set in the target area is deployed to obtain a remote monitoring network, including: Calling the monitoring requirements of the power station in the target area, analyzing and extracting monitoring topology information, wherein the monitoring topology information includes monitoring nodes, monitoring clusters, monitoring levels, and monitoring directions; Based on the single-label device set and in combination with the monitoring topology information, a pre-built monitoring network is generated; Based on the transmission performance indicator constraint and in combination with the single-standard equipment set, a dual-objective verification of the pre-built monitoring network is performed; Based on the dual-objective verification result, the single-standard equipment set is optimized, and based on the optimization result, the pre-constructed monitoring network is updated to obtain the remote monitoring network.

4. The intelligent remote monitoring method of a hydro-generator set according to claim 3 is characterized in that: Before the remote monitoring center performs real-time analysis on the received multi-dimensional monitoring data set based on the embedded multi-mode intelligent parser, the method further includes: Acquire historical monitoring data of the hydro-generator set and construct a plurality of analytical submodules, wherein the plurality of analytical submodules correspond to a plurality of analytical functions; Call the monitoring requirements of the power station in the target area and locate the multi-dimensional analysis target; Based on the multi-dimensional parsing target, a plurality of the parsing sub-modules are called and screened to generate the multi-mode intelligent parser, wherein the multi-mode intelligent parser includes an input allocation switch.

5. The intelligent remote monitoring method of a hydro-generator set according to claim 4 is characterized in that: Based on the real-time monitoring results, response control of the hydro-generator set is performed, including: Construct the response control matrix of the hydro-generator set; Analyze the real-time monitoring results and extract the monitoring results of the first hydro-generator set; Based on the hydro-generator set response control matrix and according to the monitoring result of the first hydro-generator set, single-point response control of the first hydro-generator set is performed.

6. The intelligent remote monitoring method of a hydro-generator set according to claim 4, characterized in that: The method further comprises: Based on the monitoring topology information, analyzing the real-time monitoring results to obtain cascade power station monitoring data; The cascade power station joint dispatching strategy is called, and the cascade power station monitoring data is responded to to perform the cascade joint response control of the hydro-generator sets.

7. The intelligent remote monitoring method for a hydro-generator set according to claim 1, characterized in that: The method further comprises: Based on the monitoring requirements of the power station in the target area, configure the monitoring update cycle; The configuration of the remote monitoring network is updated according to the monitoring update cycle.

8. The intelligent remote monitoring method for a hydro-generator set according to claim 1, characterized in that: The method further comprises: Constructing an emergency response catalog, wherein the emergency response catalog includes emergency response objects, emergency response measures, and emergency response terminal addresses; Based on the real-time monitoring results, traverse the emergency response directory to obtain an emergency response instruction set; According to the emergency response instruction set, the real-time monitoring results are transmitted to the emergency response terminal for visual response.

9. The intelligent remote monitoring method of a hydro-generator set according to claim 1, characterized in that: The monitoring index constraints include electrical parameters, mechanical parameters and environmental parameters, wherein the electrical parameters include at least voltage, current and power factor, the mechanical parameters include at least generator speed, bearing temperature and vibration, and the environmental parameters include at least temperature, humidity and air pressure; the monitoring granularity constraints include data acquisition frequency, data accuracy and data storage and processing granularity, wherein the data acquisition frequency is the frequency at which the monitoring system collects data, the data accuracy is the accuracy requirement that the monitoring system needs to achieve when collecting data, and the data storage and processing granularity is the accuracy with which the monitoring system stores and processes the collected data.

10. An intelligent remote monitoring system for a hydro-generator set, characterized in that: An intelligent remote monitoring method for a hydro-turbine generator set according to any one of claims 1 to 9 is adopted to remotely monitor and warn the hydro-turbine generator set.

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