Generator hydrogen leakage amount online monitoring and early warning method and system based on DCS

Abstract

The invention discloses a DCS-based generator hydrogen leakage amount online monitoring and early warning method and system, and relates to the technical field of power equipment monitoring, and the method comprises the steps: collecting generator data in real time, carrying out the preprocessing of the collected data, carrying out the correlation analysis of the preprocessed data, and calculating the hydrogen leakage amount of a generator through the preprocessed data. A real-time correction coefficient is introduced, the correction coefficient is adjusted in real time, the hydrogen leakage amount of the generator in the previous day and the real-time hydrogen leakage amount are displayed in real time, an early warning threshold value of the hydrogen leakage amount is set, intelligent early warning is carried out, historical hydrogen leakage amount data are recorded and analyzed, the hydrogen leakage trend of the generator is predicted, and equipment maintenance and troubleshooting are carried out. According to the method, powerful support is provided for equipment maintenance and troubleshooting by predicting the hydrogen leakage trend of the generator, so that safe and stable operation of the generator is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of monitoring of electric power equipment, and in particular to a method and system for online monitoring and early warning of hydrogen leakage of a generator based on a DCS. Background Art

[0002] With the continuous growth of electricity demand, the safe and stable operation of generators has become the focus of the power industry. During the operation of generators, hydrogen leakage has always been an important factor affecting their safety. Traditional hydrogen leakage monitoring methods mainly rely on manual regular detection. This method has problems such as long detection cycle, poor real-time performance, and low accuracy. It is difficult to meet the needs of modern power systems for real-time monitoring of generator status.

[0003] In recent years, the application of distributed control systems (DCS) in the field of power generation has become increasingly widespread, providing new technical means for online monitoring and early warning of hydrogen leakage in generators. However, the existing DCS-based hydrogen leakage monitoring technology still has the following shortcomings: First, the data acquisition and preprocessing methods are relatively simple, and the correlation between data is not fully considered, resulting in inaccurate monitoring results; second, the hydrogen leakage calculation formula and correction coefficient adjustment method are not perfect, making it difficult to achieve real-time and accurate hydrogen leakage monitoring; third, the early warning system lacks intelligence and cannot provide dynamic early warnings based on real-time data, thus affecting the timeliness of fault handling. Summary of the invention

[0004] In view of the above-mentioned existing problems, the present invention provides a DCS-based generator hydrogen leakage online monitoring and early warning method and system to solve the problems in the prior art of inaccurate monitoring results, imperfect hydrogen leakage calculation formula and correction coefficient adjustment method, and inability to perform dynamic early warning based on real-time data.

[0005] In order to solve the above technical problems, a DCS-based online monitoring and early warning method for hydrogen leakage of generators is proposed, including:

[0006] Collect generator data in real time, pre-process the collected data, and perform correlation analysis on the pre-processed data; use the pre-processed data to calculate the hydrogen leakage of the generator, introduce a real-time correction factor, and adjust the correction factor in real time; display the previous day's generator hydrogen leakage and real-time hydrogen leakage in real time, set the warning threshold of hydrogen leakage, perform intelligent warning, record and analyze historical hydrogen leakage data, predict the hydrogen leakage trend of the generator, and perform equipment maintenance and troubleshooting.

[0007] As a preferred solution of the DCS-based online monitoring and early warning method for hydrogen leakage of a generator described in the present invention, the real-time collection of generator data includes collecting real-time data of generator hydrogen pressure and real-time data of generator wind temperature in the DCS hydrogen system monitoring screen.

[0008] The real-time data of the generator wind temperature includes the real-time temperature of the excitation end inlet, the real-time temperature of the excitation end outlet, the real-time temperature of the steam end inlet and the real-time temperature of the steam end outlet.

[0009] As a preferred solution of the DCS-based generator hydrogen leakage online monitoring and early warning method described in the present invention, the correlation analysis includes data synchronization, denoising, filtering and verification of the collected generator data, and calculating the correlation between different parameters of the pre-processed data using Spearman rank correlation, and analyzing the relationship between the generator hydrogen pressure and each temperature point.

[0010] The denoising includes removing random noise using a moving average filter, smoothing data using a Kalman filter, and identifying and removing outliers using an isolation forest algorithm; the filtering includes low-pass filtering the temperature and pressure data to remove high-frequency fluctuations.

[0011] The Spearman rank correlation formula is expressed as:

[0012]

[0013] in, is the Spearman rank correlation coefficient, d is the rank difference between variables, and n is the number of data points; When , it means that the two data are positively correlated; when When , it means that the two data have no correlation; when , the two data are negatively correlated.

[0014] As a preferred solution of the DCS-based generator hydrogen leakage online monitoring and early warning method described in the present invention, the calculation of the hydrogen leakage of the generator includes collecting real-time data of the generator hydrogen pressure and temperature after preprocessing, and calculating the hydrogen leakage of the generator using an improved hydrogen leakage calculation formula.

[0015] The hydrogen leakage calculation formula is expressed as:

[0016]

[0017] in, is the hydrogen leakage for the whole day, v is the hydrogen filling volume of the generator, h is the test duration, P1 is the hydrogen pressure in the machine at the start of the test, P2 is the hydrogen pressure in the machine at the end of the test, t1 is the average temperature of the hydrogen in the machine at the start of the test, b2 is the average temperature of the hydrogen in the machine at the end of the test, b1 is the atmospheric pressure around the generator at the start of the test, and b2 is the atmospheric pressure around the generator at the end of the test.

[0018] As a preferred solution of the DCS-based generator hydrogen leakage online monitoring and early warning method described in the present invention, the adjustment correction coefficient includes determining the initial value of the correction coefficient based on historical data, real-time monitoring of the hydrogen pressure, temperature and humidity that affect the hydrogen leakage, using the adjustment value of the statistical model correction coefficient, and inputting the real-time monitored parameters and historical correction coefficients into the model, and calculating a new correction coefficient based on the model output and real-time data.

[0019] As a preferred solution of the DCS-based generator hydrogen leakage online monitoring and early warning method described in the present invention, the intelligent early warning includes real-time synchronization of sensor data, preprocessing results and hydrogen leakage calculation results to a display interface, using data visualization tools to display data, setting an early warning threshold for hydrogen leakage according to the operating specifications and safety standards of the generator, and performing intelligent early warning.

[0020] The setting of the hydrogen leakage warning threshold includes setting the normal working threshold as θ according to the load rate of the generator, the ambient temperature and the hydrogen pressure fluctuation. th , set the first-level warning value to 1.1θ th , set the second-level warning value to 1.3θ th , set the third-level warning value to 1.5θ th .

[0021] The intelligent early warning includes when the real-time hydrogen leakage exceeds 1.1θ th When the real-time hydrogen leakage exceeds 1.3θ, the primary warning is triggered, the system automatically records the event and sends a notification to the operator, and monitors it; when the real-time hydrogen leakage exceeds 1.3θ th When the real-time hydrogen leakage exceeds 1.5θ, the intermediate warning is triggered, the system automatically records the event, sends a notification, and starts the auxiliary inspection procedure, requiring the operator to conduct an on-site inspection; when the real-time hydrogen leakage exceeds 1.5θ th When an emergency occurs, an emergency warning is triggered and the system automatically records the event, sends an emergency notification, initiates the emergency shutdown procedure, and isolates the system.

[0022] As a preferred solution of the DCS-based generator hydrogen leakage online monitoring and early warning method described in the present invention, the prediction of the generator hydrogen leakage trend includes recording and analyzing historical hydrogen leakage data, predicting the generator hydrogen leakage trend, and performing equipment maintenance and troubleshooting.

[0023] The analyzing of the historical hydrogen leakage data includes regularly analyzing the historical hydrogen leakage data and hydrogen leakage trends using statistical analysis and data mining techniques, formulating a preventive maintenance plan based on the historical data analysis results, and identifying components that need to be repaired and replaced.

[0024] The troubleshooting includes analyzing the cause using historical data and real-time data to determine the fault point when abnormal hydrogen leakage occurs, performing equipment maintenance according to the maintenance plan, re-evaluating the hydrogen leakage after maintenance, analyzing the maintenance effect, and recording it.

[0025] Another object of the present invention is to provide an online monitoring and early warning system for hydrogen leakage of a generator based on DCS. The present invention optimizes the management efficiency and operation efficiency of the generator set and reduces unplanned downtime. The system of the present invention collects hydrogen pressure and wind temperature data of the generator in real time, and performs preprocessing and correlation analysis to achieve accurate calculation and intelligent early warning of hydrogen leakage, ensuring that when the hydrogen leakage is abnormal, the operating personnel can be notified in time and corresponding measures can be taken to prevent accidents. The improved hydrogen leakage calculation formula and real-time correction coefficient are adopted to improve the accuracy and reliability of monitoring, record and analyze historical hydrogen leakage data, use data mining technology to predict hydrogen leakage trends, provide a basis for equipment maintenance and troubleshooting, and formulate preventive maintenance plans.

[0026] As a preferred solution of the DCS-based generator hydrogen leakage online monitoring and early warning system described in the present invention, it is characterized by including a data acquisition and preprocessing module, a hydrogen leakage calculation and correction module, an online monitoring and early warning module and a hydrogen leakage trend prediction module.

[0027] The data acquisition and preprocessing module is used to acquire hydrogen pressure and wind temperature data of the generator in real time, and to preprocess the acquired data, and to perform correlation analysis using the preprocessed data to find out the mutual influence relationship between different parameters.

[0028] The hydrogen leakage calculation and correction module is used to calculate the hydrogen leakage of the generator using the preprocessed data, introduce a real-time correction coefficient, adjust the correction coefficient in real time, and accurately calculate the hydrogen leakage.

[0029] The online monitoring and early warning module is used to display the hydrogen leakage of the generator in the previous day and the real-time hydrogen leakage in real time, set the early warning threshold of the hydrogen leakage, and perform intelligent early warning. When the real-time hydrogen leakage exceeds the set threshold, the system automatically triggers an early warning to remind the operating personnel to take corresponding measures.

[0030] The hydrogen leakage trend prediction module is used to record and analyze historical hydrogen leakage data, predict the hydrogen leakage trend of the generator through data mining technology, provide a basis for equipment maintenance and troubleshooting, and formulate a preventive maintenance plan to identify parts that need to be repaired and replaced. When abnormal hydrogen leakage occurs, historical data and real-time data are used to analyze the cause, determine the fault point, perform equipment maintenance, and record the maintenance effect.

[0031] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and is characterized in that when the processor executes the computer program, the steps of a method described in online monitoring and early warning of hydrogen leakage of a generator based on a DCS are implemented.

[0032] A computer-readable storage medium stores a computer program thereon, wherein when the computer program is executed by a processor, the steps of a method described in online monitoring and early warning of hydrogen leakage of a generator based on a DCS are implemented.

[0033] Beneficial effects of the present invention: The present invention ensures the real-time and accuracy of the data by real-time acquisition of generator data and preprocessing, as well as correlation analysis of the preprocessed data, providing a reliable basis for hydrogen leakage calculation, thereby improving data quality, providing accurate data support for hydrogen leakage monitoring, and significantly improving the response speed and accuracy of the monitoring system; the preprocessed data is used to calculate the hydrogen leakage of the generator, and a real-time correction coefficient is introduced for dynamic adjustment to adapt to changes in the operating state of the generator. This process improves the accuracy of hydrogen leakage calculation, more accurately monitors the hydrogen leakage of the generator, effectively reduces false alarms and improves the reliability of monitoring; and by real-time display of the previous day's hydrogen leakage and the real-time hydrogen leakage, and setting warning thresholds for intelligent warning, an intuitive monitoring interface and warning mechanism are provided, which timely reflects changes in hydrogen leakage and detects them in advance Potential hydrogen leakage problems are prevented, thereby preventing accidents and improving operational safety; historical hydrogen leakage data is recorded and analyzed, hydrogen leakage trends are predicted, and equipment maintenance and troubleshooting are guided. This step uses historical data to predict future trends, provides a basis for equipment maintenance, identifies failure risks in advance, guides preventive maintenance and troubleshooting, extends equipment life and reduces maintenance costs; and through dynamic optimization of adjusting the correction coefficient, improves the adaptability of hydrogen leakage calculation, more accurately reflects the actual operating status, and improves the system's adaptability and monitoring accuracy. The efficient intelligent early warning system quickly responds to abnormal hydrogen leakage and takes emergency measures in a timely manner, reducing accident risks and improving emergency handling efficiency. It provides a scientific maintenance strategy for the long-term operation of the generator, reduces unplanned downtime, ensures the continuous and stable operation of the generator, improves power generation efficiency and reduces operating costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work, among which:

[0035] Figure 1The present invention provides an overall flow chart of a method for online monitoring and early warning of hydrogen leakage of a generator based on a DCS according to an embodiment of the present invention.

[0036] Figure 2 A schematic diagram of hydrogen leakage on a day of a DCS-based generator hydrogen leakage online monitoring and early warning method provided by an embodiment of the present invention.

[0037] Figure 3 A schematic diagram of a generator hydrogen system for an online monitoring and early warning method for hydrogen leakage of a generator based on a DCS is provided as an embodiment of the present invention.

[0038] Figure 4 A system solution flow chart of a DCS-based generator hydrogen leakage online monitoring and early warning system provided in one embodiment of the present invention. DETAILED DESCRIPTION

[0039] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0040] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0041] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor is it an embodiment that is mutually exclusive with other embodiments, either individually or selectively.

[0042] The present invention is described in detail with reference to schematic diagrams. When describing the embodiments of the present invention, for the sake of convenience, the cross-sectional diagrams showing the device structure will not be partially enlarged according to the general scale, and the schematic diagrams are only examples, which should not limit the scope of protection of the present invention. In addition, in actual production, the three-dimensional dimensions of length, width and depth should be included.

[0043] At the same time, in the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "upper, lower, inner and outer" are based on the directions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore cannot be understood as limiting the present invention. In addition, the terms "first, second or third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0044] In the present invention, unless otherwise clearly specified and limited, the terms "install, connect, connect" should be understood in a broad sense, for example: it can be a fixed connection, a detachable connection or an integral connection; it can also be a mechanical connection, an electrical connection or a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0045] Example 1, reference Figure 1-Figure 3 , which is the first embodiment of the present invention, provides a method for online monitoring and early warning of hydrogen leakage of a generator based on a DCS, comprising:

[0046] S1: Collect generator data in real time, pre-process the collected data, and perform correlation analysis on the pre-processed data.

[0047] The real-time collection of generator data includes collecting real-time data of generator hydrogen pressure and real-time data of generator wind temperature in a DCS hydrogen system monitoring screen.

[0048] The real-time data of the generator wind temperature includes the real-time temperature of the excitation end inlet, the real-time temperature of the excitation end outlet, the real-time temperature of the steam end inlet and the real-time temperature of the steam end outlet.

[0049] It should be noted that the correlation analysis includes data synchronization, denoising, filtering and verification of the collected generator data, and calculating the correlation between different parameters using Spearman rank correlation of the pre-processed data, and analyzing the relationship between the generator hydrogen pressure and each temperature point.

[0050] The denoising includes removing random noise using a moving average filter, smoothing data using a Kalman filter, and identifying and removing outliers using an isolation forest algorithm; the filtering includes low-pass filtering the temperature and pressure data to remove high-frequency fluctuations.

[0051] It should be further explained that the Spearman rank correlation formula is expressed as:

[0052]

[0053] in, is the Spearman rank correlation coefficient, d is the rank difference between variables, and n is the number of data points; When , it means that the two data are positively correlated; when When , it means that the two data have no correlation; when , the two data are negatively correlated.

[0054] S2: Calculate the hydrogen leakage of the generator using the preprocessed data, introduce a real-time correction coefficient, and adjust the correction coefficient in real time.

[0055] Furthermore, the calculation of the hydrogen leakage of the generator includes collecting real-time data of hydrogen pressure and temperature of the generator after preprocessing, and calculating the hydrogen leakage of the generator using an improved hydrogen leakage calculation formula.

[0056] like Figure 2 , the hydrogen leakage calculation formula is expressed as:

[0057]

[0058] in, is the hydrogen leakage for the whole day, v is the hydrogen filling volume of the generator, h is the test duration, P1 is the hydrogen pressure in the machine at the start of the test, P2 is the hydrogen pressure in the machine at the end of the test, t1 is the average temperature of the hydrogen in the machine at the start of the test, b2 is the average temperature of the hydrogen in the machine at the end of the test, b1 is the atmospheric pressure around the generator at the start of the test, and b2 is the atmospheric pressure around the generator at the end of the test.

[0059] The adjustment of the correction coefficient includes determining an initial value of the correction coefficient based on historical data, real-time monitoring of hydrogen pressure, temperature and humidity that affect hydrogen leakage, using a statistical model to adjust the correction coefficient, and inputting real-time monitored parameters and historical correction coefficients into the model, and calculating a new correction coefficient based on model output and real-time data.

[0060] S3: Display the hydrogen leakage of the generator on the previous day and the real-time hydrogen leakage in real time, set the warning threshold of hydrogen leakage, conduct intelligent warning, record and analyze historical hydrogen leakage data, predict the hydrogen leakage trend of the generator, and perform equipment maintenance and troubleshooting.

[0061] Furthermore, the intelligent warning includes real-time synchronization of sensor data, preprocessing results and hydrogen leakage calculation results to a display interface, using data visualization tools to display data, setting a warning threshold for hydrogen leakage according to the operating specifications and safety standards of the generator, and performing intelligent warning.

[0062] The setting of the hydrogen leakage warning threshold includes setting the normal working threshold as θ according to the load rate of the generator, the ambient temperature and the hydrogen pressure fluctuation. th, set the first-level warning value to 1.1θ th , set the second-level warning value to 1.3θ th , set the third-level warning value to 1.5θ th .

[0063] like Figure 3 The intelligent early warning includes when the real-time hydrogen leakage exceeds 1.1θ th When the real-time hydrogen leakage exceeds 1.3θ, the primary warning is triggered, the system automatically records the event and sends a notification to the operator, and monitors it; when the real-time hydrogen leakage exceeds 1.3θ th When the real-time hydrogen leakage exceeds 1.5θ, the intermediate warning is triggered, the system automatically records the event, sends a notification, and starts the auxiliary inspection procedure, requiring the operator to conduct an on-site inspection; when the real-time hydrogen leakage exceeds 1.5θ th When an emergency occurs, an emergency warning is triggered and the system automatically records the event, sends an emergency notification, initiates the emergency shutdown procedure, and isolates the system.

[0064] Furthermore, the prediction of the hydrogen leakage trend of the generator includes recording and analyzing historical hydrogen leakage data, predicting the hydrogen leakage trend of the generator, and performing equipment maintenance and troubleshooting.

[0065] The analyzing of the historical hydrogen leakage data includes regularly analyzing the historical hydrogen leakage data and hydrogen leakage trends using statistical analysis and data mining techniques, formulating a preventive maintenance plan based on the historical data analysis results, and identifying components that need to be repaired and replaced.

[0066] The troubleshooting includes analyzing the cause using historical data and real-time data to determine the fault point when abnormal hydrogen leakage occurs, performing equipment maintenance according to the maintenance plan, re-evaluating the hydrogen leakage after maintenance, analyzing the maintenance effect, and recording it.

[0067] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

[0068] Example 2, reference Figure 4 , which is the second embodiment of the present invention, provides a DCS-based generator hydrogen leakage online monitoring and early warning system, including a data acquisition and preprocessing module 100, a hydrogen leakage calculation and correction module 200, an online monitoring and early warning module 300 and a hydrogen leakage trend prediction module 400.

[0069] The data acquisition and preprocessing module 100 is used to acquire hydrogen pressure and wind temperature data of the generator in real time, and to preprocess the acquired data, and to perform correlation analysis using the preprocessed data to find out the mutual influence relationship between different parameters.

[0070] The hydrogen leakage calculation and correction module 200 is used to calculate the hydrogen leakage of the generator using the preprocessed data, introduce a real-time correction coefficient, adjust the correction coefficient in real time, and accurately calculate the hydrogen leakage.

[0071] The online monitoring and early warning module 300 is used to display the hydrogen leakage of the generator in the previous day and the real-time hydrogen leakage in real time, set the early warning threshold of the hydrogen leakage, and perform intelligent early warning. When the real-time hydrogen leakage exceeds the set threshold, the system automatically triggers an early warning to remind the operating personnel to take corresponding measures.

[0072] The hydrogen leakage trend prediction module 400 is used to record and analyze historical hydrogen leakage data, predict the hydrogen leakage trend of the generator through data mining technology, provide a basis for equipment maintenance and troubleshooting, and formulate a preventive maintenance plan to identify parts that need to be repaired and replaced. When abnormal hydrogen leakage occurs, historical data and real-time data are used to analyze the cause, determine the fault point, perform equipment maintenance, and record the maintenance effect.

[0073] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

[0074] Embodiment 3, the third embodiment of the present invention, is different from the first two embodiments in that:

[0075] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, and other media that can store program codes.

[0076] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0077] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0078] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

Claims

1. A method for online monitoring and early warning of hydrogen leakage of a generator based on DCS, characterized by: include, Collect generator data in real time, pre-process the collected data, and perform correlation analysis on the pre-processed data; The hydrogen leakage of the generator is calculated using the pre-processed data, and a real-time correction coefficient is introduced to adjust the correction coefficient in real time; The hydrogen leakage of the generator of the previous day and the real-time hydrogen leakage are displayed in real time, and the warning threshold of hydrogen leakage is set to carry out intelligent warning, record and analyze the historical hydrogen leakage data, predict the hydrogen leakage trend of the generator, and carry out equipment maintenance and troubleshooting.

2. The method for online monitoring and early warning of hydrogen leakage of a generator based on DCS as claimed in claim 1, characterized in that: The real-time collection of generator data includes collecting real-time data of generator hydrogen pressure and real-time data of generator wind temperature in the DCS hydrogen system monitoring screen; The real-time data of the generator wind temperature includes the real-time temperature of the excitation end inlet, the real-time temperature of the excitation end outlet, the real-time temperature of the steam end inlet and the real-time temperature of the steam end outlet.

3. The method for online monitoring and early warning of hydrogen leakage of a generator based on DCS as claimed in claim 2, characterized in that: The correlation analysis includes synchronizing, denoising, filtering and verifying the collected generator data, calculating the correlation between different parameters using Spearman rank correlation on the pre-processed data, and analyzing the relationship between the generator hydrogen pressure and each temperature point; The denoising includes removing random noise using a moving average filter, smoothing data using a Kalman filter, and identifying and removing outliers using an isolation forest algorithm; the filtering includes low-pass filtering the temperature and pressure data to remove high-frequency fluctuations; The Spearman rank correlation formula is expressed as: in, is the Spearman rank correlation coefficient, d is the rank difference between variables, and n is the number of data points; When , it means that the two data are positively correlated; when When , it means that the two data have no correlation; when , the two data are negatively correlated.

4. The method for online monitoring and early warning of hydrogen leakage of a generator based on DCS as claimed in claim 3, characterized in that: The calculating of the hydrogen leakage of the generator includes collecting real-time data of hydrogen pressure and temperature of the generator after preprocessing, and calculating the hydrogen leakage of the generator using an improved hydrogen leakage calculation formula; The hydrogen leakage calculation formula is expressed as: in, is the hydrogen leakage for the whole day, v is the hydrogen filling volume of the generator, h is the test duration, P1 is the hydrogen pressure in the machine at the start of the test, P2 is the hydrogen pressure in the machine at the end of the test, t1 is the average temperature of the hydrogen in the machine at the start of the test, b2 is the average temperature of the hydrogen in the machine at the end of the test, b1 is the atmospheric pressure around the generator at the start of the test, and b2 is the atmospheric pressure around the generator at the end of the test.

5. The method for online monitoring and early warning of hydrogen leakage of a generator based on DCS as claimed in claim 4, characterized in that: The adjustment of the correction coefficient includes determining an initial value of the correction coefficient based on historical data, real-time monitoring of hydrogen pressure, temperature and humidity that affect hydrogen leakage, using a statistical model to adjust the correction coefficient, and inputting real-time monitored parameters and historical correction coefficients into the model, and calculating a new correction coefficient based on model output and real-time data.

6. The method for online monitoring and early warning of hydrogen leakage of a generator based on DCS as claimed in claim 5, characterized in that: The intelligent early warning includes real-time synchronization of sensor data, preprocessing results and hydrogen leakage calculation results to a display interface, using data visualization tools to display data, setting a warning threshold for hydrogen leakage according to the operating specifications and safety standards of the generator, and performing intelligent early warning; The setting of the hydrogen leakage warning threshold includes setting the normal working threshold as θ according to the load rate of the generator, the ambient temperature and the hydrogen pressure fluctuation. th , set the first-level warning value to 1.1θ th , set the second-level warning value to 1.3θ th , set the third-level warning value to 1.5θ th ; The intelligent early warning includes when the real-time hydrogen leakage exceeds 1.1θ th When the real-time hydrogen leakage exceeds 1.3θ, the primary warning is triggered, the system automatically records the event and sends a notification to the operator, and monitors it; when the real-time hydrogen leakage exceeds 1.3θ th When the real-time hydrogen leakage exceeds 1.5θ, the intermediate warning is triggered, the system automatically records the event, sends a notification, and starts the auxiliary inspection procedure, requiring the operator to conduct an on-site inspection; when the real-time hydrogen leakage exceeds 1.5θ th When an emergency occurs, an emergency warning is triggered and the system automatically records the event, sends an emergency notification, initiates the emergency shutdown procedure, and isolates the system.

7. The method for online monitoring and early warning of hydrogen leakage of a generator based on DCS as claimed in claim 6, characterized in that: The predicting of hydrogen leakage trend of the generator includes recording and analyzing historical hydrogen leakage data, predicting the hydrogen leakage trend of the generator, and performing equipment maintenance and troubleshooting; The analyzing of the historical hydrogen leakage data includes regularly analyzing the historical hydrogen leakage data and hydrogen leakage trends by using statistical analysis and data mining techniques, formulating a preventive maintenance plan based on the historical data analysis results, and identifying components that need to be repaired and replaced; The troubleshooting includes analyzing the cause using historical data and real-time data to determine the fault point when abnormal hydrogen leakage occurs, performing equipment maintenance according to the maintenance plan, re-evaluating the hydrogen leakage after maintenance, analyzing the maintenance effect, and recording it.

8. A system using the DCS-based online monitoring and early warning method for hydrogen leakage of a generator as claimed in any one of claims 1 to 7, characterized in that: It includes data acquisition and preprocessing module, hydrogen leakage calculation and correction module, online monitoring and early warning module and hydrogen leakage trend prediction module; The data acquisition and preprocessing module is used to collect hydrogen pressure and wind temperature data of the generator in real time, and preprocess the collected data, and use the preprocessed data to perform correlation analysis to find out the mutual influence relationship between different parameters; The hydrogen leakage calculation and correction module is used to calculate the hydrogen leakage of the generator using the preprocessed data, introduce a real-time correction coefficient, adjust the correction coefficient in real time, and accurately calculate the hydrogen leakage; The online monitoring and early warning module is used to display the hydrogen leakage of the generator in the previous day and the real-time hydrogen leakage in real time, set the early warning threshold of the hydrogen leakage, and perform intelligent early warning. When the real-time hydrogen leakage exceeds the set threshold, the system automatically triggers an early warning to remind the operator to take corresponding measures; The hydrogen leakage trend prediction module is used to record and analyze historical hydrogen leakage data, predict the hydrogen leakage trend of the generator through data mining technology, provide a basis for equipment maintenance and troubleshooting, and formulate a preventive maintenance plan to identify parts that need to be repaired and replaced. When abnormal hydrogen leakage occurs, historical data and real-time data are used to analyze the cause, determine the fault point, perform equipment maintenance, and record the maintenance effect.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method for online monitoring and early warning of hydrogen leakage of a generator based on a DCS according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of a DCS-based generator hydrogen leakage online monitoring and early warning method according to any one of claims 1 to 7 are implemented.

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