Danger alarm method and device for power plant equipment

Abstract

The invention relates to the technical field of power plant equipment, and discloses a danger alarm method and device for power plant equipment, and the method comprises the steps: deploying a plurality of data collection points on the power plant equipment, collecting corresponding equipment working parameters, and obtaining a plurality of equipment working parameter sequences; standard equipment working parameters are determined, an equipment working parameter sequence is analyzed, and working parameter factors are calculated; all the working parameter factors are extracted, numerical value sorting is carried out, and a plurality of working parameter factor sequences are generated; calculating a working parameter factor sum value of the working parameter factors in each working parameter factor sequence, and calculating a danger alarm coefficient according to all the working parameter factors sum values; whether the power plant equipment operates abnormally or not is judged according to the danger alarm coefficient and the preset danger alarm coefficient, if yes, an alarm is given out, the operation state of the power plant equipment can be monitored in real time, the alarm is given out in time when the abnormal condition is detected, and therefore accidents are effectively prevented, and the safety and reliability of the power plant equipment are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power plant equipment, and in particular to a danger alarm method and device for power plant equipment. Background Art

[0002] Power plant equipment is a general term for mechanical equipment and systems used to convert raw energy into electrical energy. These devices play an important role in the power system to ensure the generation, transmission and use of electricity. Power plant equipment includes boilers, turbines, generators, transformers, transmission lines, circuit breakers, etc. Power plant equipment is an indispensable part of power production, and they work together to ensure a stable supply of electricity.

[0003] At present, power plant equipment monitoring mainly relies on the traditional threshold judgment method, which often has the problem of early warning lag and cannot detect potential risks in advance, resulting in a high accident rate. Therefore, a new alarm method is needed to improve the safety and reliability of power plant equipment. Summary of the invention

[0004] The embodiment of the present invention provides a danger alarm method and device for power plant equipment, which can monitor the operating status of power plant equipment in real time and issue an alarm in time when an abnormal situation is detected, thereby effectively preventing accidents and improving the safety and reliability of power plant equipment.

[0005] In order to achieve the above object, the present invention provides a danger alarm method for power plant equipment, comprising:

[0006] Deploy several data collection points on the power plant equipment, collect the equipment operating parameters corresponding to each data collection point, analyze all equipment operating parameters, and obtain multiple equipment operating parameter sequences;

[0007] Determine standard equipment operating parameters corresponding to the power plant equipment, analyze the equipment operating parameter sequence based on the standard equipment operating parameters, and calculate operating parameter factors of the equipment operating parameter sequence;

[0008] Extract all working parameter factors, sort them by numerical value, and generate multiple working parameter factor sequences based on the sorting results;

[0009] Calculating the working parameter factors and values ​​of the working parameter factors in each working parameter factor sequence, and calculating the danger alarm coefficient of the power plant equipment according to all the working parameter factors and values;

[0010] It is determined whether the power plant equipment is operating abnormally based on the danger alarm coefficient and the preset danger alarm coefficient, and if so, an alarm is issued.

[0011] Furthermore, when analyzing the equipment operating parameter sequence based on the standard equipment operating parameter and calculating the operating parameter factor of the equipment operating parameter sequence, it includes:

[0012] Classify all device operating parameters in the device operating parameter sequence that are smaller than the standard device operating parameters into a first sub-device operating parameter sequence;

[0013] Classify all device operating parameters in the device operating parameter sequence that are equal to the standard device operating parameters into a second sub-device operating parameter sequence;

[0014] Classify all device operating parameters in the device operating parameter sequence that are greater than the standard device operating parameters into a third sub-device operating parameter sequence;

[0015] Calculating a first sequence mean corresponding to the first sub-device operating parameter sequence;

[0016] Calculating a third sequence mean corresponding to the third sub-device operating parameter sequence;

[0017] Counting the number of parameters of the device operating parameters in the second sub-device operating parameter sequence;

[0018] The operating parameter factor of the equipment operating parameter sequence is calculated according to the first sequence mean, the third sequence mean and the parameter quantity.

[0019] Further, when calculating the working parameter factor of the equipment working parameter sequence according to the first sequence mean, the third sequence mean and the parameter quantity, it includes:

[0020] The working parameter factor of the equipment working parameter sequence is calculated according to the following formula:

[0021]

[0022] Among them, a1 is the working parameter factor of the equipment working parameter sequence, e1 is the first calculation coefficient, e2 is the second calculation coefficient, g1 is the number of equipment working parameters in the first sub-equipment working parameter sequence, g2 is the number of equipment working parameters in the second sub-equipment working parameter sequence, f1 is the mean of the first sequence, f2 is the mean of the second sequence, and h is the dynamic adjustment coefficient of the working parameter factor set according to the number of parameters.

[0023] Furthermore, the dynamic adjustment coefficient of the working parameter factor is set according to the following steps:

[0024] Presetting a first preset dynamic adjustment coefficient, a second preset dynamic adjustment coefficient, and a third preset dynamic adjustment coefficient;

[0025] When the number of parameters is less than g1+g2, the first preset dynamic adjustment coefficient is used as the dynamic adjustment coefficient of the working parameter factor;

[0026] When the number of parameters = g1 + g2, the second preset dynamic adjustment coefficient is used as the dynamic adjustment coefficient of the working parameter factor;

[0027] When the number of parameters>g1+g2, the third preset dynamic adjustment coefficient is used as the dynamic adjustment coefficient of the working parameter factor.

[0028] Furthermore, when all the working parameter factors are extracted, sorted by numerical value, and multiple working parameter factor sequences are generated based on the sorting results, it includes:

[0029] The maximum working parameter factor and the adjacent working parameter factors form a first initial working parameter factor sequence, and the third working parameter factor is used as the working parameter factor to be updated;

[0030] Calculate the first factor sum of two working parameter factors in the first initial working parameter factor sequence, and calculate the first factor difference between the working parameter factor to be updated and the first factor sum, determine whether the first factor difference is greater than or equal to the preset factor difference, and if so, add the working parameter factor to be updated to the first initial working parameter factor sequence, and update the first initial working parameter factor sequence;

[0031] If not, taking the first initial working parameter factor sequence as a working parameter factor sequence, obtaining the fourth working parameter factor, combining the third working parameter factor and the fourth working parameter factor to form a second initial working parameter factor sequence, and determining a new working parameter factor to be updated;

[0032] Calculate the second factor sum of two working parameter factors in the second working parameter factor sequence, and calculate the second factor difference between the new working parameter factor to be updated and the second factor sum, determine whether the second factor difference is greater than or equal to the preset factor difference, and if so, add the new working parameter factor to be updated to the second initial working parameter factor sequence, and update the second initial working parameter factor sequence;

[0033] If not, the second initial working parameter factor sequence is used as a working parameter factor sequence;

[0034] In this way, updating and iteration are performed to obtain multiple working parameter factor sequences according to all working parameter factors.

[0035] Furthermore, when calculating the working parameter factors and values ​​of the working parameter factors in each working parameter factor sequence, and calculating the danger alarm coefficient of the power plant equipment according to all the working parameter factors and values, it includes:

[0036] Calculate the first mean values ​​corresponding to all working parameter factors and values;

[0037] dividing all the operating parameter factor sum values ​​less than the first mean value into a first sum value set, and dividing all the operating parameter factor sum values ​​greater than or equal to the first mean value into a second sum value set;

[0038] Calculate a second mean corresponding to the first set of sum values, and calculate a third mean corresponding to the second set of sum values;

[0039] determining a mean difference between the second mean and the third mean;

[0040] Extracting a first maximum operating parameter factor and value from the first sum value set, and extracting a second maximum operating parameter factor and value from the second sum value set;

[0041] Determine a difference between the sum of the first maximum operating parameter factor and the sum of the second maximum operating parameter factor;

[0042] The danger alarm coefficient of the power plant equipment is calculated according to the mean difference, the sum difference, the first maximum operating parameter factor and the second maximum operating parameter factor and the value.

[0043] Further, when calculating the danger alarm coefficient of the power plant equipment according to the mean difference, the sum difference, the first maximum operating parameter factor and the second maximum operating parameter factor, the method includes:

[0044] The dangerous alarm coefficient of the power plant equipment is calculated according to the following formula:

[0045]

[0046] Among them, p1 is the dangerous alarm coefficient of the power plant equipment, q1 is the mean difference, q2 is the sum difference, y1 is the first maximum working parameter factor and value, and y2 is the second maximum working parameter factor and value.

[0047] Further, when judging whether the power plant equipment is in abnormal operation according to the danger alarm coefficient and the preset danger alarm coefficient, it includes:

[0048] When the danger alarm coefficient is less than the preset danger alarm coefficient, it is determined that there is no abnormal operation of the power plant equipment;

[0049] When the danger alarm coefficient is greater than or equal to the preset danger alarm coefficient, it is determined that the power plant equipment is operating abnormally.

[0050] In order to achieve the above object, the present invention also provides a danger alarm device for power plant equipment, comprising:

[0051] The first module is used to deploy several data collection points on the power plant equipment, collect the equipment working parameters corresponding to each data collection point, analyze all the equipment working parameters, and obtain multiple equipment working parameter sequences;

[0052] The second module is used to determine the standard equipment operating parameters corresponding to the power plant equipment, and analyze the equipment operating parameter sequence based on the standard equipment operating parameters to calculate the operating parameter factors of the equipment operating parameter sequence;

[0053] The third module is used to extract all the working parameter factors, sort them by numerical value, and generate multiple working parameter factor sequences based on the sorting results;

[0054] The fourth module is used to calculate the working parameter factors and values ​​of the working parameter factors in each working parameter factor sequence, and calculate the danger alarm coefficient of the power plant equipment according to all the working parameter factors and values;

[0055] The fifth module is used to determine whether the power plant equipment is operating abnormally based on the danger alarm coefficient and the preset danger alarm coefficient, and if so, issue an alarm.

[0056] Compared with the prior art, the present invention has the following beneficial effects:

[0057] The present invention discloses a danger alarm method and device for power plant equipment. A plurality of data collection points are deployed on the power plant equipment to collect corresponding equipment working parameters and obtain a plurality of equipment working parameter sequences. Standard equipment working parameters are determined, the equipment working parameter sequences are analyzed, and working parameter factors are calculated. All working parameter factors are extracted, and numerical values ​​are sorted to generate a plurality of working parameter factor sequences. The working parameter factors and values ​​of the working parameter factors in each working parameter factor sequence are calculated, and a danger alarm coefficient is calculated according to all working parameter factors and values. It is judged according to the danger alarm coefficient and a preset danger alarm coefficient whether the power plant equipment has abnormal operation, and if so, an alarm is issued. The operating status of the power plant equipment can be monitored in real time, and an alarm is issued in time when an abnormal situation is detected, thereby effectively preventing accidents and improving the safety and reliability of the power plant equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0059] Figure 1 A schematic flow chart of a danger alarm method for power plant equipment in an embodiment of the present invention is shown;

[0060] Figure 2 A schematic structural diagram of a danger alarm system for power plant equipment in an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0061] The specific implementation of the present invention is further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0062] In the description of the present application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0063] 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. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0064] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" 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 or an electrical connection; it can be 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 this application can be understood according to specific circumstances.

[0065] The following is a description of preferred embodiments of the present invention with reference to the accompanying drawings.

[0066] like Figure 1As shown, an embodiment of the present invention discloses a danger alarm method for power plant equipment, comprising:

[0067] S110: deploying a number of data collection points on the power plant equipment, collecting equipment operating parameters corresponding to each data collection point, analyzing all equipment operating parameters, and obtaining multiple equipment operating parameter sequences;

[0068] In this embodiment, multiple data collection points are set according to the surface area of ​​the power plant equipment to ensure uniform deployment.

[0069] In this embodiment, the equipment operating parameters include temperature, pressure, vibration amplitude, current and voltage.

[0070] In this embodiment, all the same type of equipment operating parameters are divided into an equipment operating parameter sequence, such as constructing an equipment operating parameter sequence based on the temperature of each data collection point.

[0071] S120: determining standard equipment operating parameters corresponding to the power plant equipment, and analyzing the equipment operating parameter sequence based on the standard equipment operating parameters to calculate operating parameter factors of the equipment operating parameter sequence;

[0072] In some embodiments of the present application, when analyzing the device operating parameter sequence based on the standard device operating parameter and calculating the operating parameter factor of the device operating parameter sequence, the process includes:

[0073] Classify all device operating parameters in the device operating parameter sequence that are smaller than the standard device operating parameters into a first sub-device operating parameter sequence;

[0074] Classify all device operating parameters in the device operating parameter sequence that are equal to the standard device operating parameters into a second sub-device operating parameter sequence;

[0075] Classify all device operating parameters in the device operating parameter sequence that are greater than the standard device operating parameters into a third sub-device operating parameter sequence;

[0076] Calculating a first sequence mean corresponding to the first sub-device operating parameter sequence;

[0077] Calculating a third sequence mean corresponding to the third sub-device operating parameter sequence;

[0078] Counting the number of parameters of the device operating parameters in the second sub-device operating parameter sequence;

[0079] The operating parameter factor of the equipment operating parameter sequence is calculated according to the first sequence mean, the third sequence mean and the parameter quantity.

[0080] In this embodiment, the standard device operating parameters correspond to the device operating parameters one by one, and can be specifically set according to actual conditions.

[0081] The beneficial effect of the above technical solution is: the present invention calculates the working parameter factor of the equipment working parameter sequence according to the first sequence mean, the third sequence mean and the number of parameters. The present invention can ensure the calculation accuracy of the working parameter factor, can reflect the comprehensive situation of each equipment working parameter, and lay the foundation for the danger alarm of power plant equipment.

[0082] In some embodiments of the present application, when calculating the operating parameter factor of the device operating parameter sequence according to the first sequence mean, the third sequence mean and the parameter quantity, it includes:

[0083] The working parameter factor of the equipment working parameter sequence is calculated according to the following formula:

[0084]

[0085] Among them, a1 is the working parameter factor of the equipment working parameter sequence, e1 is the first calculation coefficient, e2 is the second calculation coefficient, g1 is the number of equipment working parameters in the first sub-equipment working parameter sequence, g2 is the number of equipment working parameters in the second sub-equipment working parameter sequence, f1 is the mean of the first sequence, f2 is the mean of the second sequence, and h is the dynamic adjustment coefficient of the working parameter factor set according to the number of parameters.

[0086] In some embodiments of the present application, the dynamic adjustment coefficient of the working parameter factor is set according to the following steps:

[0087] Presetting a first preset dynamic adjustment coefficient, a second preset dynamic adjustment coefficient, and a third preset dynamic adjustment coefficient;

[0088] When the number of parameters is less than g1+g2, the first preset dynamic adjustment coefficient is used as the dynamic adjustment coefficient of the working parameter factor;

[0089] When the number of parameters = g1 + g2, the second preset dynamic adjustment coefficient is used as the dynamic adjustment coefficient of the working parameter factor;

[0090] When the number of parameters>g1+g2, the third preset dynamic adjustment coefficient is used as the dynamic adjustment coefficient of the working parameter factor.

[0091] In this embodiment, the first preset dynamic adjustment coefficient is preferably 0.85, the second preset dynamic adjustment coefficient is preferably 1.15, and the third preset dynamic adjustment coefficient is preferably 1.25.

[0092] The beneficial effect of the above technical solution is that the present invention sets different dynamic adjustment coefficients according to the number of parameters, which can realize dynamic adjustment of the working parameter factors and further ensure the calculation accuracy and comprehensiveness of the working parameter factors.

[0093] S130: extract all the working parameter factors, sort them by numerical value, and generate multiple working parameter factor sequences based on the sorting results;

[0094] In some embodiments of the present application, when all the operating parameter factors are extracted, sorted by numerical value, and multiple operating parameter factor sequences are generated based on the sorting results, the following steps are included:

[0095] The maximum working parameter factor and the adjacent working parameter factors form a first initial working parameter factor sequence, and the third working parameter factor is used as the working parameter factor to be updated;

[0096] Calculate the first factor sum of two working parameter factors in the first initial working parameter factor sequence, and calculate the first factor difference between the working parameter factor to be updated and the first factor sum, determine whether the first factor difference is greater than or equal to the preset factor difference, and if so, add the working parameter factor to be updated to the first initial working parameter factor sequence, and update the first initial working parameter factor sequence;

[0097] If not, taking the first initial working parameter factor sequence as a working parameter factor sequence, obtaining the fourth working parameter factor, combining the third working parameter factor and the fourth working parameter factor to form a second initial working parameter factor sequence, and determining a new working parameter factor to be updated;

[0098] Calculate the second factor sum of two working parameter factors in the second working parameter factor sequence, and calculate the second factor difference between the new working parameter factor to be updated and the second factor sum, determine whether the second factor difference is greater than or equal to the preset factor difference, and if so, add the new working parameter factor to be updated to the second initial working parameter factor sequence, and update the second initial working parameter factor sequence;

[0099] If not, the second initial working parameter factor sequence is used as a working parameter factor sequence;

[0100] In this way, updating and iteration are performed to obtain multiple working parameter factor sequences according to all working parameter factors.

[0101] In this embodiment, the preset factor difference is preferably 5.

[0102] In this embodiment, multiple working parameter factor sequences can be obtained through the above-mentioned updating and iterative method.

[0103] The beneficial effect of the above technical solution is that the present invention can obtain multiple working parameter factor sequences through iterative updating, laying a foundation for the calculation of the danger alarm coefficient of power plant equipment and providing reliable data support.

[0104] S140: Calculating the working parameter factors and values ​​of the working parameter factors in each working parameter factor sequence, and calculating the danger alarm coefficient of the power plant equipment according to all the working parameter factors and values;

[0105] In some embodiments of the present application, when calculating the working parameter factors and values ​​of the working parameter factors in each working parameter factor sequence, and calculating the danger alarm coefficient of the power plant equipment according to all the working parameter factors and values, it includes:

[0106] Calculate the first mean values ​​corresponding to all working parameter factors and values;

[0107] dividing all the operating parameter factor sum values ​​less than the first mean value into a first sum value set, and dividing all the operating parameter factor sum values ​​greater than or equal to the first mean value into a second sum value set;

[0108] Calculate a second mean corresponding to the first set of sum values, and calculate a third mean corresponding to the second set of sum values;

[0109] determining a mean difference between the second mean and the third mean;

[0110] Extracting a first maximum operating parameter factor and value from the first sum value set, and extracting a second maximum operating parameter factor and value from the second sum value set;

[0111] Determine a difference between the sum of the first maximum operating parameter factor and the sum of the second maximum operating parameter factor;

[0112] The danger alarm coefficient of the power plant equipment is calculated according to the mean difference, the sum difference, the first maximum operating parameter factor and the second maximum operating parameter factor and the value.

[0113] In this embodiment, each operating parameter factor sequence includes two or more operating parameter factors.

[0114] In this embodiment, the mean difference is the difference between the second mean and the third mean.

[0115] The beneficial effect of the above technical solution is: the present invention calculates the danger alarm coefficient of the power plant equipment according to the mean difference, the sum difference, the first maximum working parameter factor sum and the second maximum working parameter factor sum, thereby ensuring the calculation accuracy of the danger alarm coefficient, providing a direct basis for judging whether there is any dangerous behavior in the power plant equipment, without the need for human participation in the judgment, improving judgment accuracy, and reducing judgment errors and subjectivity.

[0116] In some embodiments of the present application, when calculating the danger alarm coefficient of the power plant equipment according to the mean difference, the sum difference, the first maximum operating parameter factor and the second maximum operating parameter factor and the value, it includes:

[0117] The dangerous alarm coefficient of the power plant equipment is calculated according to the following formula:

[0118]

[0119] Among them, p1 is the dangerous alarm coefficient of the power plant equipment, q1 is the mean difference, q2 is the sum difference, y1 is the first maximum working parameter factor and value, and y2 is the second maximum working parameter factor and value.

[0120] S150: Determine whether the power plant equipment is operating abnormally based on the danger alarm coefficient and the preset danger alarm coefficient, and if so, issue an alarm.

[0121] In some embodiments of the present application, when judging whether the power plant equipment is operating abnormally according to the danger alarm coefficient and the preset danger alarm coefficient, it includes:

[0122] When the danger alarm coefficient is less than the preset danger alarm coefficient, it is determined that there is no abnormal operation of the power plant equipment;

[0123] When the danger alarm coefficient is greater than or equal to the preset danger alarm coefficient, it is determined that the power plant equipment is operating abnormally.

[0124] In this embodiment, the preset danger alarm coefficient is preferably 8.

[0125] The beneficial effect of the above technical solution is that the present invention can monitor the operating status of power plant equipment in real time and issue an alarm in time when an abnormal situation is detected, thereby effectively preventing accidents and improving the safety and reliability of power plant equipment.

[0126] In order to further explain the technical idea of ​​the present invention, the technical solution of the present invention is now described in combination with specific application scenarios.

[0127] Correspondingly, such as Figure 2 As shown, the present application also provides a danger alarm device for power plant equipment, comprising:

[0128] The first module is used to deploy several data collection points on the power plant equipment, collect the equipment working parameters corresponding to each data collection point, analyze all the equipment working parameters, and obtain multiple equipment working parameter sequences;

[0129] The second module is used to determine the standard equipment operating parameters corresponding to the power plant equipment, and analyze the equipment operating parameter sequence based on the standard equipment operating parameters to calculate the operating parameter factors of the equipment operating parameter sequence;

[0130] The third module is used to extract all the working parameter factors, sort them by numerical value, and generate multiple working parameter factor sequences based on the sorting results;

[0131] The fourth module is used to calculate the working parameter factors and values ​​of the working parameter factors in each working parameter factor sequence, and calculate the danger alarm coefficient of the power plant equipment according to all the working parameter factors and values;

[0132] The fifth module is used to determine whether the power plant equipment is operating abnormally based on the danger alarm coefficient and the preset danger alarm coefficient, and if so, issue an alarm.

[0133] In the description of the above embodiments, specific features, structures, materials or characteristics may be combined in a suitable manner in any one or more embodiments or examples.

[0134] Although the present invention has been described above with reference to the embodiments, various modifications may be made thereto and parts thereof may be replaced with equivalents without departing from the scope of the present invention. In particular, as long as there is no structural conflict, the various features in the embodiments disclosed by the present invention may be used in combination with each other in any manner, and the fact that these combinations are not fully described in this specification is only for the sake of omitting space and saving resources.

[0135] Those skilled in the art can understand that the above are only preferred embodiments 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 aforementioned embodiments, those skilled in the art can still modify the technical solutions recorded in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A danger alarm method for power plant equipment, characterized in that: include: Deploy several data collection points on the power plant equipment, collect the equipment operating parameters corresponding to each data collection point, analyze all equipment operating parameters, and obtain multiple equipment operating parameter sequences; Determine standard equipment operating parameters corresponding to the power plant equipment, analyze the equipment operating parameter sequence based on the standard equipment operating parameters, and calculate operating parameter factors of the equipment operating parameter sequence; Extract all working parameter factors, sort them by numerical value, and generate multiple working parameter factor sequences based on the sorting results; Calculating the working parameter factors and values ​​of the working parameter factors in each working parameter factor sequence, and calculating the danger alarm coefficient of the power plant equipment according to all the working parameter factors and values; It is determined whether the power plant equipment is operating abnormally based on the danger alarm coefficient and the preset danger alarm coefficient, and if so, an alarm is issued.

2. The danger alarm method for power plant equipment according to claim 1, characterized in that: When analyzing the equipment operating parameter sequence based on the standard equipment operating parameter and calculating the operating parameter factor of the equipment operating parameter sequence, the method includes: Classify all device operating parameters in the device operating parameter sequence that are smaller than the standard device operating parameters into a first sub-device operating parameter sequence; Classify all device operating parameters in the device operating parameter sequence that are equal to the standard device operating parameters into a second sub-device operating parameter sequence; Classify all device operating parameters in the device operating parameter sequence that are greater than the standard device operating parameters into a third sub-device operating parameter sequence; Calculating a first sequence mean corresponding to the first sub-device operating parameter sequence; Calculating a third sequence mean corresponding to the third sub-device operating parameter sequence; Counting the number of parameters of the device operating parameters in the second sub-device operating parameter sequence; The operating parameter factor of the equipment operating parameter sequence is calculated according to the first sequence mean, the third sequence mean and the parameter quantity.

3. The danger alarm method for power plant equipment according to claim 2 is characterized in that: When calculating the working parameter factor of the equipment working parameter sequence according to the first sequence mean, the third sequence mean and the parameter quantity, it includes: The working parameter factor of the equipment working parameter sequence is calculated according to the following formula: Among them, a1 is the working parameter factor of the equipment working parameter sequence, e1 is the first calculation coefficient, e2 is the second calculation coefficient, g1 is the number of equipment working parameters in the first sub-equipment working parameter sequence, g2 is the number of equipment working parameters in the second sub-equipment working parameter sequence, f1 is the mean of the first sequence, f2 is the mean of the second sequence, and h is the dynamic adjustment coefficient of the working parameter factor set according to the number of parameters.

4. The danger alarm method for power plant equipment according to claim 3 is characterized in that: Set the dynamic adjustment coefficient of the working parameter factor according to the following steps: Presetting a first preset dynamic adjustment coefficient, a second preset dynamic adjustment coefficient, and a third preset dynamic adjustment coefficient; When the number of parameters is less than g1+g2, the first preset dynamic adjustment coefficient is used as the dynamic adjustment coefficient of the working parameter factor; When the number of parameters = g1 + g2, the second preset dynamic adjustment coefficient is used as the dynamic adjustment coefficient of the working parameter factor; When the number of parameters>g1+g2, the third preset dynamic adjustment coefficient is used as the dynamic adjustment coefficient of the working parameter factor.

5. The danger alarm method for power plant equipment according to claim 1, characterized in that: When all the working parameter factors are extracted, sorted by numerical value, and multiple working parameter factor sequences are generated based on the sorting results, including: The maximum working parameter factor and the adjacent working parameter factors form a first initial working parameter factor sequence, and the third working parameter factor is used as the working parameter factor to be updated; Calculate the first factor sum of two working parameter factors in the first initial working parameter factor sequence, and calculate the first factor difference between the working parameter factor to be updated and the first factor sum, determine whether the first factor difference is greater than or equal to the preset factor difference, and if so, add the working parameter factor to be updated to the first initial working parameter factor sequence, and update the first initial working parameter factor sequence; If not, taking the first initial working parameter factor sequence as a working parameter factor sequence, obtaining the fourth working parameter factor, combining the third working parameter factor and the fourth working parameter factor to form a second initial working parameter factor sequence, and determining a new working parameter factor to be updated; Calculate the second factor sum of two working parameter factors in the second working parameter factor sequence, and calculate the second factor difference between the new working parameter factor to be updated and the second factor sum, determine whether the second factor difference is greater than or equal to the preset factor difference, and if so, add the new working parameter factor to be updated to the second initial working parameter factor sequence, and update the second initial working parameter factor sequence; If not, the second initial working parameter factor sequence is used as a working parameter factor sequence; In this way, updating and iteration are performed to obtain multiple working parameter factor sequences according to all working parameter factors.

6. The danger alarm method for power plant equipment according to claim 1, characterized in that: When calculating the working parameter factors and values ​​of the working parameter factors in each working parameter factor sequence, and calculating the danger alarm coefficient of the power plant equipment according to all the working parameter factors and values, it includes: Calculate the first mean values ​​corresponding to all working parameter factors and values; dividing all the operating parameter factor sum values ​​less than the first mean value into a first sum value set, and dividing all the operating parameter factor sum values ​​greater than or equal to the first mean value into a second sum value set; Calculate a second mean corresponding to the first set of sum values, and calculate a third mean corresponding to the second set of sum values; determining a mean difference between the second mean and the third mean; Extracting a first maximum operating parameter factor and value from the first sum value set, and extracting a second maximum operating parameter factor and value from the second sum value set; Determine a difference between the sum of the first maximum operating parameter factor and the sum of the second maximum operating parameter factor; The danger alarm coefficient of the power plant equipment is calculated according to the mean difference, the sum difference, the first maximum operating parameter factor and the second maximum operating parameter factor and the value.

7. The danger alarm method for power plant equipment according to claim 6, characterized in that: When calculating the danger alarm coefficient of the power plant equipment according to the mean value difference, the sum value difference, the first maximum operating parameter factor sum value and the second maximum operating parameter factor sum value, it includes: The dangerous alarm coefficient of the power plant equipment is calculated according to the following formula: Among them, p1 is the dangerous alarm coefficient of the power plant equipment, q1 is the mean difference, q2 is the sum difference, y1 is the first maximum working parameter factor and value, and y2 is the second maximum working parameter factor and value.

8. The danger alarm method for power plant equipment according to claim 1, characterized in that: When judging whether the power plant equipment is operating abnormally according to the danger alarm coefficient and the preset danger alarm coefficient, it includes: When the danger alarm coefficient is less than the preset danger alarm coefficient, it is determined that there is no abnormal operation of the power plant equipment; When the danger alarm coefficient is greater than or equal to the preset danger alarm coefficient, it is determined that the power plant equipment is operating abnormally.

9. A danger alarm device for power plant equipment, characterized in that: include: The first module is used to deploy several data collection points on the power plant equipment, collect the equipment working parameters corresponding to each data collection point, analyze all the equipment working parameters, and obtain multiple equipment working parameter sequences; The second module is used to determine the standard equipment operating parameters corresponding to the power plant equipment, and analyze the equipment operating parameter sequence based on the standard equipment operating parameters to calculate the operating parameter factors of the equipment operating parameter sequence; The third module is used to extract all the working parameter factors, sort them by numerical value, and generate multiple working parameter factor sequences based on the sorting results; The fourth module is used to calculate the working parameter factors and values ​​of the working parameter factors in each working parameter factor sequence, and calculate the danger alarm coefficient of the power plant equipment according to all the working parameter factors and values; The fifth module is used to determine whether the power plant equipment is operating abnormally based on the danger alarm coefficient and the preset danger alarm coefficient, and if so, issue an alarm.

Images