Fault early warning method and system for lubricating oil system of coal-fired unit based on data mining

Abstract

The invention discloses a coal-fired unit lubricating oil system fault early warning method and system based on data mining. The system comprises a first off-delay module, a first switching module, a first delay module, a first AND module, a first pulse module, a second delay module, a first NOT module, a second NOT module, a second pulse module, a first counting module and a first greater module. The method comprises the steps that when the operation of a lubricating oil pump is 1, a Python main model lubricating oil leakage early warning model is triggered and called; when the lubricating oil leakage early warning model of the Python main model is called to be 1, a first counting module is used for recording the triggering frequency, and if the triggering frequency meets the condition that the first is larger than a module built-in constant 3, the lubricating oil leakage early warning model is obtained to be 1; otherwise, the lubricating oil leakage early warning model is zero. By implementing effective monitoring, maintenance and prevention measures, stable operation of the lubricating oil system can be ensured, and therefore the reliability and economical efficiency of power generation equipment are guaranteed.

Description

Technical Field

[0001] The invention belongs to the field of intelligent control of thermal power plants, and in particular relates to a data mining method and system for early warning of a lubricating oil system fault of a coal-fired unit. Background Art

[0002] Failure of lubricating oil temperature regulation in thermal power plants may lead to a series of problems, including increased equipment wear, decreased lubrication performance, and even fire hazards. The reasons for the failure of oil temperature regulation during production and operation include: cooling system failure, such as blockage of the oil cooler or insufficient cooling water flow, which results in the inability to effectively reduce the oil temperature; failure of the temperature sensor or control system, which makes the oil temperature monitoring and regulation function ineffective; improper maintenance, such as failure to regularly clean the oil pipeline, which leads to the accumulation of impurities inside the oil system and affects the oil temperature regulation. In general, the failure of lubricating oil temperature regulation in thermal power plants is an issue that needs to be taken seriously. A data mining coal-fired unit lubricating oil system fault warning method and system are designed. By implementing effective monitoring, maintenance and preventive measures, the stable operation of the lubricating oil system can be ensured, thereby ensuring the reliability and economy of power generation equipment. Summary of the invention

[0003] The purpose of the present invention is to provide a data mining coal-fired unit lubricating oil system fault warning method and system. The present invention adopts the lubricating oil system leakage model as the initial judgment condition, combines the equipment operating conditions under various working conditions of the lubricating system, and formulates boundary conditions suitable for the safe operation of the lubricating oil system. By implementing effective monitoring, maintenance and preventive measures, the stable operation of the lubricating oil system can be ensured, thereby ensuring the reliability and economy of the power generation equipment. And remind the operating personnel that the lubricating oil temperature regulation fails, please check the lubricating oil cooling water system in time.

[0004] In order to achieve the above object, the present invention adopts the following technical solution: A data mining coal-fired unit lubricating oil system fault early warning system comprises a first break delay module, a first switching module, a first delay module, a first and module, a first pulse module, a second delay module, a first negation module, a second negation module, a second pulse module, a first counting module and a first greater than module; The output end of the first non-module is connected to the first AND module, the output end of the first off-delay module is connected to the first switching module, the output end of the first AND module and the output end of the first switching module are respectively connected to the trigger end and the R end of the second delay module, and the output end of the second delay module is connected to the second pulse module; The output end of the first delay module is connected to the first pulse module, the output end of the first off-delay module is connected to the second NOT module, the output end of the first pulse module and the second NOT module are respectively connected to the trigger end, EN end and R end of the first counting module, and the output end of the first counting module is connected to the first greater than module.

[0005] A further improvement of the present invention is that it also includes: A second greater than module, a first subtraction module, a third negation module, a second subtraction module, a second absolute value module, a third absolute value module, a third greater than module, a first multiplication module, a third delay module, a first less than module, a second and module and a fourth delay module; The output end of the first subtraction module is connected to the second absolute value module, the third greater than module and the third delay module in sequence; the lubricating oil temperature regulation failure is connected to the third negation module; the output end of the second subtraction module is connected to the third absolute value module, the first multiplication module, and the first less than module in sequence; the output end of the second greater than module, the output end of the third delay module, the output end of the third negation module, and the output end of the first less than module are all connected to the second AND module, and the output end of the second AND module is connected to the fourth delay module and the lubricating oil temperature regulation failure in sequence.

[0006] A further improvement of the present invention is that the Python main model lubricating oil leakage warning model is called to be connected to the first off-delay module and the first delay module respectively, and the output end of the second delay module is connected to the calling Python main model lubricating oil leakage warning model.

[0007] A further improvement of the present invention is that the lubricating oil pump is operatively connected to the first AND module and the first counting module.

[0008] A further improvement of the present invention is that the output end of the first counting module is connected to a lubricating oil leakage early warning model.

[0009] A further improvement of the present invention is that the turbine speed is connected to a second larger than module.

[0010] A further improvement of the present invention is that the oil temperature at the oil cooler outlet and the oil temperature after the lubricating oil cooler in the previous minute are both connected to the first subtraction module.

[0011] A further improvement of the present invention is that the lubricating oil temperature regulating valve position feedback and the lubricating oil temperature regulating valve position feedback for the previous 3 minutes are both connected to the second subtraction module.

[0012] The data mining coal-fired unit lubricating oil system fault early warning method includes: When the lubricating oil pump is running at 1, the Python main model lubricating oil leakage warning model is called; When the Python main model lubricating oil leakage warning model is called as 1, the first counting module is used to record the number of triggers. If the number of triggers satisfies the first value greater than the module's built-in constant 3, the lubricating oil leakage warning model is 1; otherwise, the lubricating oil leakage warning model is 0.

[0013] A further improvement of the present invention is that it also includes: when the following four conditions are all met, the lubricating oil temperature regulation failure is obtained as 1, reminding the operating personnel that the lubricating oil temperature regulation is failed at this time, and please check the lubricating oil cooling water system in time; The first judgment condition: when the turbine speed meets the second condition greater than the module built-in constant 2950, ​​the output is 1; The second judgment condition: subtract the oil temperature at the outlet of the oil cooler from the oil temperature at the rear of the lubricating oil cooler one minute ago. If the value obtained satisfies the third condition that it is greater than the module's built-in constant 2, the output is 1. The third judgment condition: when the lubricating oil temperature regulation failure is 0, the output is 1 after the third non-module judgment; Fourth judgment condition: subtract the lubricating oil temperature control valve position feedback from the lubricating oil temperature control valve position feedback of the previous 3 minutes, and multiply the obtained value by the built-in constant 100 of the first multiplication module. When the obtained value satisfies the first less than the built-in constant 5 of the module, the output is 1.

[0014] Compared with the prior art, the present invention has at least the following beneficial technical effects: The present invention provides a data mining coal-fired unit lubricating oil system fault warning method, which takes the lubricating oil system leakage model as the basic condition, and uses the turbine speed, oil cooler outlet oil temperature, lubricating oil temperature control valve position feedback, etc. as the operating boundary range, and finally determines that the lubricating oil temperature regulation fails.

[0015] The present invention provides a data mining coal-fired unit lubricating oil system fault warning system, which adopts a lubricating oil system leakage model system and a lubricating oil temperature regulation failure model system to form this system. When the lubricating oil system leakage model system is a warning, the lubricating oil temperature regulation failure model system can be used to perform fault analysis. The system determines whether it is currently in a fault condition based on the current operating condition of the steam turbine lubricating oil system.

[0016] In summary, the data mining coal-fired unit lubricating oil system fault warning method and system described in the present invention take into account the safety, stability and efficiency of the lubricating oil under different operating conditions, timely analyze and judge the problems inside the system, accurately locate the problem of failure of lubricating oil temperature regulation, and prompt to check the information of the lubricating oil cooling water system. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 Schematic diagram of the fault early warning system for the lubricating oil system of a coal-fired unit based on data mining.

[0019] Figure 2 Schematic diagram of the fault warning system for the lubricating oil system of a coal-fired unit based on data mining.

[0020] Figure 3 This is a rendering of an embodiment of the present invention.

[0021] In the attached figure: 001. Call Python main model lubricating oil leakage warning model, 002. Lubricating oil pump operation, 003. Lubricating oil leakage warning model, 004. First break delay module, 005. First switching module, 006. First delay module, 007. First and module, 008. First pulse module, 009. Second delay module, 010. First non-module, 011. Second non-module, 012. Second pulse module, 013. First counting module, 014. First greater than module, 015. Lubricating oil temperature regulation failure, 016. Turbine speed, 017 , oil temperature at the outlet of the oil cooler, 018, oil temperature after the lubricating oil cooler in the previous minute, 019, position feedback of the lubricating oil temperature regulating valve, 020, position feedback of the lubricating oil temperature regulating valve in the previous 3 minutes, 021, the second greater than module, 022, the first subtraction module, 023, the third non-module, 024, the second subtraction module, 025, the second absolute value module, 026, the third absolute value module, 027, the third greater than module, 028, the first multiplication module, 029, the third delay module, 030, the first less than module, 031, the second and module, 032, the fourth delay module. DETAILED DESCRIPTION

[0022] In the following, only some exemplary embodiments are briefly described. As those skilled in the art will appreciate, the described embodiments may be modified in various ways without departing from the spirit or scope of the present invention. Therefore, the drawings and descriptions are considered to be exemplary and non-restrictive in nature.

[0023] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0024] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0025] In the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection, an electrical connection, or a communication; it can be a direct connection, or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0026] In the present invention, unless otherwise clearly specified and limited, a first feature being "above" or "below" a second feature may include that the first and second features are in direct contact, or may include that the first and second features are not in direct contact but are in contact through another feature between them. Moreover, a first feature being "above", "above" and "above" a second feature includes that the first feature is directly above and obliquely above the second feature, or simply indicates that the first feature is higher in level than the second feature. A first feature being "below", "below" and "below" a second feature includes that the first feature is directly above and obliquely above the second feature, or simply indicates that the first feature is lower in level than the second feature.

[0027] It should be understood that when used in this specification and the appended claims, the terms "include" and "comprises" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or combinations thereof.

[0028] It should also be understood that the terms used in the present specification are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the present specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0029] It should be further understood that the term "and / or" used in the present description and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0030] Various structural schematic diagrams of the embodiments disclosed in the present invention are shown in the accompanying drawings. These figures are not drawn to scale, and some details are magnified and some details may be omitted for the purpose of clear expression. The shapes of various regions and layers shown in the figures and the relative sizes and positional relationships therebetween are only exemplary, and may deviate in practice due to manufacturing tolerances or technical limitations, and those skilled in the art may additionally design regions / layers with different shapes, sizes, and relative positions according to actual needs.

[0031] The embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0032] The data mining coal-fired unit lubricating oil system fault early warning method and system provided by the present invention adopts the lubricating oil system leakage model as the initial judgment condition, combines the equipment operating conditions under various working conditions of the lubricating system, formulates boundary conditions suitable for the safe operation of the lubricating oil system, and implements effective monitoring, maintenance and preventive measures to ensure the stable operation of the lubricating oil system, thereby ensuring the reliability and economy of the power generation equipment. It also reminds the operating personnel that the lubricating oil temperature regulation fails, please check the lubricating oil cooling water system in time.

[0033] Example 1 like Figure 1 and Figure 2As shown, the data mining coal-fired unit lubricating oil system fault warning system provided by the present invention includes: calling the Python main model lubricating oil leakage warning model 001, lubricating oil pump operation 002, lubricating oil leakage warning model 003, the first break delay module 004, the first switching module 005, the first delay module 006, the first and module 007, the first pulse module 008, the second delay module 009, the first non-module 010, the second non-module 011, the second pulse module 012, the first counting module 013, the first greater than module 014, the lubricating oil temperature adjustment failure 015, turbine speed 016, oil temperature at the outlet of the oil cooler 017, oil temperature at the rear of the lubricating oil cooler in the previous minute 018, position feedback of the lubricating oil temperature regulating valve 019, position feedback of the lubricating oil temperature regulating valve in the previous 3 minutes 020, the second greater than module 021, the first subtraction module 022, the third negative module 023, the second subtraction module 024, the second absolute value module 025, the third absolute value module 026, the third greater than module 027, the first multiplication module 028, the third delay module 029, the first less than module 030, the second and module 031 and the fourth delay module 032.

[0034] Among them, the output ends of the lubricating oil pump operation 002 and the first non-module 010 are connected to the first AND module 007, and the Python main model lubricating oil leakage warning model 001 is called to be connected to the first interruption delay module 004 and the first switching module 005 in sequence. The output end of the first AND module 007 and the output end of the first switching module 005 are respectively connected to the trigger end and R end of the second delay module 009, and the output end of the second delay module 009 is connected to the second pulse module 012 in sequence and the Python main model lubricating oil leakage warning model 001 is called.

[0035] The Python main model lubricating oil leakage warning model 001 is called to be connected to the first delay module 006 and the first pulse module 008 in sequence. The Python main model lubricating oil leakage warning model 001 is called to be connected to the first off-delay module 004 and the second non-module 011 in sequence. The output end of the first pulse module 008, the lubricating oil pump operation 002, and the second non-module 011 are respectively connected to the trigger end, EN end, and R end of the first counting module 013. The output end of the first counting module 013 is connected to the first greater than module 014 and the lubricating oil leakage warning model 003 in sequence.

[0036] The turbine speed 016 is connected to the second greater than module 021; the oil temperature at the outlet of the oil cooler 017 and the oil temperature at the rear of the lubricating oil cooler in the previous minute 018 are both connected to the first subtraction module 022, and the output end of the first subtraction module 022 is connected to the second absolute value module 025, the third greater than module 027, and the third delay module 029 in sequence; the lubricating oil temperature regulation failure 015 is connected to the third non-module 023; the lubricating oil temperature regulating valve position feedback 019 and the lubricating oil temperature regulating valve position feedback 020 in the previous 3 minutes are both connected to the second subtraction module 024, and the output end of the second subtraction module 024 is connected to the third absolute value module 026, the first multiplication module 028, and the first less than module 030 in sequence; the output end of the second greater than module 021, the output end of the third delay module 029, the output end of the third non-module 023, and the output end of the first less than module 030 are all connected to the second AND module 031, and the output end of the second AND module 031 is connected to the fourth delay module 032 and the lubricating oil temperature regulation failure 015 in sequence.

[0037] Example 2 like Figure 1 and Figure 2 As shown, the data mining coal-fired unit lubricating oil system fault early warning method provided by the present invention includes: 1) When the lubricating oil pump running 002 is 1, it triggers the call of Python main model lubricating oil leakage warning model 001; 2) When the Python main model lubricating oil leakage warning model 001 is called to 1, the first counting module 013 is used to record the number of triggers. If the number of triggers meets the first greater than module 014 built-in constant 3, the lubricating oil leakage warning model 003 is 1; otherwise, the lubricating oil leakage warning model 003 is 0.

[0038] In this embodiment, it also includes: 1) When the following four conditions are met, the lubricating oil temperature regulation failure 015 is 1, reminding the operating personnel that the lubricating oil temperature regulation is failed at this time, please check the lubricating oil cooling water system in time; 2) First judgment condition: When the turbine speed 016 satisfies the second condition greater than the built-in constant 2950 of module 021, the output is 1; 3) Second judgment condition: Subtract the oil temperature 017 at the outlet of the oil cooler from the oil temperature 018 at the rear of the lubricating oil cooler one minute ago. If the value obtained satisfies the third condition greater than the built-in constant 2 of module 027, the output is 1; 4) The third judgment condition: when the lubricating oil temperature regulation failure 015 is 0, after the third non-module 023 judges, the output is 1; 5) Fourth judgment condition: The lubricating oil temperature control valve position feedback 019 and the lubricating oil temperature control valve position feedback 020 in the previous 3 minutes are subtracted, and the obtained value is multiplied by the built-in constant 100 of the first multiplication module 028. When the obtained value satisfies the first less than the built-in constant 5 of the module 030, the output is 1.

[0039] Example 3 like Figure 3 As shown, through the implementation and application of the technology of the present invention in a simulation environment, within the time range of 0 to 100, the actual operating value of curve 2 changes with time, and the temperature shows an overall downward trend from 260°C to 190°C, while the model prediction value of curve 1 can accurately fit the current actual operating conditions, and each predicted temperature condition point can correspond to the current time point, and does not deviate from the curve of the actual operating condition. Under the guidance of the model prediction value curve, it lays a guiding role in determining the failure of lubricating oil temperature regulation and provides assistance for the production and operation of power plants.

[0040] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and the present invention can be implemented in other specific forms without departing from the spirit or basic features of the present invention. Therefore, no matter from which point of view, the embodiments should be regarded as exemplary and non-restrictive. The scope of the present invention is defined by the attached claims rather than the above description, and it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims are included in the present invention. Any figure mark in the claims should not be regarded as limiting the claims involved.

[0041] In addition, it should be understood that although this specification is described in accordance with the implementation modes, not every implementation mode contains only one independent technical solution. This description of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment can also be appropriately combined to form other implementation modes that can be understood by those skilled in the art. The above content is only to illustrate the technical idea of ​​the present invention, and cannot be used to limit the protection scope of the present invention. Any changes made on the basis of the technical solution according to the technical idea proposed by the present invention shall fall within the protection scope of the claims of the present invention.

Claims

1. A data mining coal-fired unit lubricating oil system fault early warning system, characterized in that: It comprises a first break delay module (004), a first switching module (005), a first delay module (006), a first and module (007), a first pulse module (008), a second delay module (009), a first negation module (010), a second negation module (011), a second pulse module (012), a first counting module (013) and a first greater than module (014); The output end of the first non-module (010) is connected to the first AND module (007), the output end of the first off-delay module (004) is connected to the first switching module (005), the output end of the first AND module (007) and the output end of the first switching module (005) are respectively connected to the trigger end and the R end of the second delay module (009), and the output end of the second delay module (009) is connected to the second pulse module (012); The output end of the first delay module (006) is connected to the first pulse module (008), the output end of the first off-delay module (004) is connected to the second negation module (011), the output end of the first pulse module (008) and the second negation module (011) are respectively connected to the trigger end, EN end, and R end of the first counting module (013), and the output end of the first counting module (013) is connected to the first greater than module (014).

2. The data mining coal-fired unit lubricating oil system fault early warning system according to claim 1 is characterized in that: Also includes: A second greater than module (021), a first subtraction module (022), a third negation module (023), a second subtraction module (024), a second absolute value module (025), a third absolute value module (026), a third greater than module (027), a first multiplication module (028), a third delay module (029), a first less than module (030), a second AND module (031) and a fourth delay module (032); The output end of the first subtraction module (022) is connected to the second absolute value module (025), the third greater than module (027), and the third delay module (029) in sequence; the lubricating oil temperature regulation failure (015) is connected to the third negation module (023); the output end of the second subtraction module (024) is connected to the third absolute value module (026), the first multiplication module (028), and the first less than module (030) in sequence; the output end of the second greater than module (021), the output end of the third delay module (029), the output end of the third negation module (023), and the output end of the first less than module (030) are all connected to the second AND module (031); the output end of the second AND module (031) is connected to the fourth delay module (032) and the lubricating oil temperature regulation failure (015) in sequence.

3. The data mining coal-fired unit lubricating oil system fault early warning system according to claim 2 is characterized in that: The Python main model lubricating oil leakage warning model (001) is called to be connected to the first interruption delay module (004) and the first delay module (006) respectively, and the output end of the second delay module (009) is connected to the Python main model lubricating oil leakage warning model (001).

4. The data mining coal-fired unit lubricating oil system fault early warning system according to claim 3 is characterized in that: The lubricating oil pump operation (002) is connected to the first AND module (007) and the first counting module (013).

5. The data mining coal-fired unit lubricating oil system fault early warning system according to claim 4 is characterized in that: The output end of the first counting module (013) is connected to the lubricating oil leakage early warning model (003).

6. The data mining coal-fired unit lubricating oil system fault early warning system according to claim 5 is characterized in that: The turbine speed (016) is connected to the second greater than module (021).

7. The data mining coal-fired unit lubricating oil system fault early warning system according to claim 6 is characterized in that: The oil temperature at the oil cooler outlet (017) and the oil temperature after the lubricating oil cooler in the first minute (018) are both connected to the first subtraction module (022).

8. The data mining coal-fired unit lubricating oil system fault early warning system according to claim 7 is characterized in that: The lubricating oil temperature regulating valve position feedback (019) and the lubricating oil temperature regulating valve position feedback (020) in the previous 3 minutes are both connected to the second subtraction module (024).

9. A data mining method for early warning of lubricating oil system failure of a coal-fired unit, characterized in that: The method is based on the data mining coal-fired unit lubricating oil system fault early warning system according to claim 8, comprising: When the lubricating oil pump running (002) is 1, the Python main model lubricating oil leakage warning model (001) is called; When the Python main model lubricating oil leakage warning model (001) is called as 1, the first counting module (013) is used to record the number of triggers. If the number of triggers satisfies the first greater than module (014) built-in constant 3, the lubricating oil leakage warning model (003) is 1; otherwise, the lubricating oil leakage warning model (003) is 0.

10. The data mining coal-fired unit lubricating oil system fault early warning method according to claim 9, characterized in that: It also includes: when the following four conditions are met, the lubricating oil temperature regulation failure (015) is 1, reminding the operating personnel that the lubricating oil temperature regulation is failed at this time, please check the lubricating oil cooling water system in time; First judgment condition: When the turbine speed (016) satisfies the second condition greater than the built-in constant 2950 of the module (021), the output is 1; Second judgment condition: subtract the oil temperature at the oil cooler outlet (017) from the oil temperature at the lubricating oil cooler outlet (018) one minute ago. If the value obtained satisfies the third condition greater than the built-in constant 2 of the module (027), the output is 1. The third judgment condition: when the lubricating oil temperature regulation failure (015) is 0, the output is 1 after the third non-module (023) judges; Fourth judgment condition: the lubricating oil temperature control valve position feedback (019) and the lubricating oil temperature control valve position feedback (020) in the previous 3 minutes are subtracted, and the obtained value is multiplied by the built-in constant 100 of the first multiplication module (028). When the obtained value satisfies the first less than module (030) built-in constant 5, the output is 1.

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