Method, device and equipment for monitoring fault state of petrochemical heating furnace and medium

Abstract

The invention provides a petrochemical heating furnace fault state monitoring method, device and equipment and a medium, and belongs to the technical field of heating furnace fault early warning. The method comprises the steps that operation parameters of the petrochemical heating furnace in the actual combustion process are obtained; determining the fault information of the petrochemical heating furnace based on the preset judgment rule and the operation parameter of each piece of preset fault information; performing fault risk grade demarcation on the fault information of the petrochemical heating furnace, and determining the fault risk grade of the fault information of the petrochemical heating furnace; and matching the fault information of the petrochemical heating furnace with a preset fault processing measure library to obtain a fault processing measure of the petrochemical heating furnace. The petrochemical heating furnace fault early warning method can comprehensively and accurately carry out fault early warning on the petrochemical heating furnace.

Description

Technical Field

[0001] The present invention relates to the technical field of heating furnace fault warning, and in particular to a method for monitoring the fault state of a petrochemical heating furnace, a device for monitoring the fault state of a petrochemical heating furnace, an electronic device and a computer-readable storage medium. Background Art

[0002] Traditional heating furnace control methods include manual control, relay circuit decentralized control, and PLC centralized control. The industrial field environment of heating furnaces is usually complex, with mixed high and low temperature, high and low pressure environments, and various industrial medium pipelines intertwined. There are various risk factors that cannot be accurately predicted during regular maintenance and fault plan formulation, and they continue to appear as the continuous production process proceeds. In order to pursue maximum production efficiency, the production line continuously organizes production, and the various equipment and related accessories used in the factory will experience uneven aging and wear over time. This inevitable characteristic will cause occasional failures in the equipment, which will eventually cause an imbalance in the control system of this part and cause production interruption.

[0003] Most of the existing heating furnace fault warning methods are based on manual fault analysis. When performing manual fault analysis, different staff members have limited knowledge, which leads to different understandings of fault information, resulting in incomplete and inaccurate fault analysis.

[0004] In general, the existing heating furnace fault warning methods are not comprehensive and accurate enough. Summary of the invention

[0005] The purpose of the embodiments of the present invention is to provide a method, device, equipment and medium for monitoring the fault status of a petrochemical heating furnace, so as to solve the problem that the existing heating furnace fault early warning method is not comprehensive and accurate enough.

[0006] In order to achieve the above object, an embodiment of the present invention provides a method for monitoring a fault state of a petrochemical heating furnace, comprising:

[0007] Obtain the operating parameters of the petrochemical heating furnace during the actual combustion process;

[0008] Based on the preset judgment rules and operating parameters of each preset fault information, the fault information of the petrochemical heating furnace is determined; wherein the preset judgment rules of each preset fault information include the magnitude relationship between the preset fault index value and the operating parameter;

[0009] Determine the fault risk level of the fault information of the petrochemical heating furnace and determine the fault risk level of the fault information of the petrochemical heating furnace;

[0010] The fault information of the petrochemical heating furnace is matched with a preset fault handling measure library to obtain the fault handling measures of the petrochemical heating furnace; wherein the preset fault handling measure library includes a mapping relationship between the fault information of the petrochemical heating furnace and the fault handling measures of the petrochemical heating furnace.

[0011] Optionally, the operating parameters include: characteristic parameters of flame morphology and DCS system monitoring data;

[0012] The characteristic parameters of flame morphology include: flame area, flame height, flame brightness, flame bottom RGB value, flame top RGB value, flame inclination angle and flame pulsation frequency;

[0013] The DCS system monitoring data includes: discharge temperature, furnace temperature, incoming material flow rate, and auxiliary gas flow rate.

[0014] Optionally, characteristic parameters of the flame morphology are obtained by:

[0015] Acquire multiple frames of images of the actual combustion process in a petrochemical heating furnace;

[0016] Using different preset image recognition algorithms, multiple frames of images are recognized respectively to obtain the flame morphology under each image recognition algorithm;

[0017] Based on the characteristic parameters of the flame morphology under each image recognition algorithm, the flame morphology is corrected to obtain the corrected flame morphology;

[0018] Based on the corrected flame morphology, characteristic parameters of the flame morphology are obtained.

[0019] Optionally, the preset different image recognition algorithms include: any two or three of the maximum inter-class method difference method, Boolean variable and Yolov5 algorithm.

[0020] Optionally, the preset fault index values ​​include: preset flame area, preset flame height, preset flame brightness, preset flame bottom RGB value, preset flame top RGB value, preset flame inclination angle, preset flame pulsation frequency, preset discharge temperature, preset furnace temperature, preset incoming material flow rate and preset combustion-supporting gas flow rate;

[0021] Based on the preset judgment rules and operating parameters of each preset fault information, the fault information of the petrochemical heating furnace is determined, including:

[0022] When the discharge temperature is lower than the preset discharge temperature, and the flame area is larger than the preset flame area, or the flame brightness is larger than the preset flame brightness, or the flame height is larger than the preset flame height, it is determined that the petrochemical heating furnace is in a furnace tube rupture state;

[0023] When any one of the discharge temperature, furnace temperature, incoming material flow rate and combustion-supporting gas flow rate is correspondingly greater than the preset discharge temperature, the preset furnace temperature, the preset incoming material flow rate and the preset combustion-supporting gas flow rate, and the flame bottom RGB value is less than the preset flame bottom RGB value or the flame area is greater than the preset flame area or the flame height is greater than the preset flame height or the preset flame top RGB value is greater than the preset flame top RGB value, it is determined that the petrochemical heating furnace is in an over-fuel state;

[0024] When the incoming material flow rate is less than the preset incoming material flow rate or the supporting combustion gas flow rate is greater than the preset supporting combustion gas flow rate, and the flame inclination angle is greater than the preset flame inclination angle or the flame pulsation frequency is greater than the preset flame pulsation frequency, it is determined that the petrochemical heating furnace is in a state of excessive supporting combustion gas;

[0025] When the flame height is less than a preset flame height or the flame brightness is less than a preset flame brightness, it is determined that the petrochemical heating furnace is in a burner blockage state.

[0026] Optionally, after determining the fault information of the petrochemical heating furnace, the method further includes:

[0027] forming an intermediate fault set based on other preset fault information except the determined fault information of the petrochemical heating furnace;

[0028] Determine whether some of the operating parameters corresponding to each preset fault information in the intermediate fault set meet the preset judgment rule of the corresponding preset fault information, while other operating parameters do not meet the preset judgment rule of the corresponding preset fault information;

[0029] If yes, the corresponding preset fault information is marked as disputed fault information;

[0030] Traverse the intermediate fault set, obtain all disputed fault information, form a disputed fault set, and the remaining fault information forms the initial fault set to be classified;

[0031] Based on the redundancy judgment rule, each preset fault information in the disputed fault set is subjected to fault analysis to obtain a single fault set; wherein the corresponding operating parameters under each preset fault information in the single fault set meet the preset judgment rule of the corresponding preset fault information;

[0032] Based on the single fault set and the initial fault set to be classified, the fault set to be classified is obtained by calculating the union.

[0033] Optionally, based on the redundancy determination rule, each preset fault information in the disputed fault set is subjected to fault determination to obtain a single fault set, including:

[0034] Determine the operating parameters of each preset fault information in the disputed fault set, and enumerate each operating parameter based on the preset topology rule;

[0035] In the topology rules, only one variable of the enumerated preset fault index value is changed each time, and the other values ​​are all preset values, so as to obtain multiple topology rules;

[0036] Based on each topological rule, fault information is judged in turn, and the influence weight of each operating parameter is obtained based on the judgment result. The influence weight of each operating parameter is sorted. The higher the influence weight, the higher the ranking.

[0037] Based on the impact weight sorting results, each operating parameter is re-collected in turn. Each time an operating parameter is obtained, a fault information judgment is performed, and the disputed fault set is updated based on the newly obtained fault information;

[0038] Each time the disputed fault set is updated, it is determined whether the corresponding operating parameters under each preset fault information of the updated intermediate fault set partially meet the preset judgment rules of the corresponding preset fault information;

[0039] If yes, then the next operating parameter is re-collected based on the impact weight sorting result, and the disputed fault set is updated and judged repeatedly until each preset fault information of the updated disputed fault meets the preset judgment rule of the corresponding preset fault information, and the latest disputed fault set is taken as a single fault set;

[0040] If not, stop running the parameters and re-collect them, taking the latest disputed fault set as a single fault set.

[0041] Optionally, the fault risk level of the fault information of the petrochemical heating furnace is classified, and the fault risk level of the fault information of the petrochemical heating furnace is determined, including:

[0042] Calculate the absolute value of the difference between the operating parameter corresponding to the fault information of the petrochemical heating furnace and the corresponding preset fault index value;

[0043] Associating the absolute value of each difference with the preset fault index value of the corresponding operating parameter to obtain the difference, to obtain a correlation relationship;

[0044] Extracting association relationship weights from a weight library based on the association relationship;

[0045] The absolute values ​​of the differences are dedimensionalized, and based on the corresponding correlation relationship of the absolute values ​​of the differences after processing, the risk score of the fault information of the petrochemical heating furnace is calculated. The calculation rule is:

[0046] S i =T 1 ×ω 1 +T 2 ×ω 2 +…T n ×ω n

[0047] Among them, S i The risk score of the fault information of the petrochemical heating furnace is T n is the absolute value of the difference between the nth operating parameter in the fault information of the petrochemical heating furnace and its corresponding preset fault index value; ω n is the association weight corresponding to the nth association in the fault information of the petrochemical heating furnace;

[0048] The fault risk level of the petrochemical heating furnace's fault information is determined based on the risk score of the petrochemical heating furnace's fault information and a preset grade score table.

[0049] Optionally, after matching the fault information of the petrochemical heating furnace with a preset fault handling measure library to obtain the fault handling measures of the petrochemical heating furnace, the method further includes:

[0050] Based on the fault risk level of the fault information of the petrochemical heating furnace, a push rule for the fault information of the petrochemical heating furnace is determined; wherein the push rule includes: any one or more combinations of sequential push, differentiated display push, and alarm level differentiated push;

[0051] According to the push rule of the fault information of the petrochemical heating furnace, the fault information of the petrochemical heating furnace, the fault level of the fault information of the petrochemical heating furnace and the fault handling measures of the petrochemical heating furnace are displayed.

[0052] In a second aspect of the embodiments of the present invention, a monitoring device for a petrochemical heating furnace fault state is provided, comprising:

[0053] The data acquisition module is used to obtain the operating parameters of the petrochemical heating furnace during the actual combustion process;

[0054] A fault determination module is used to determine the fault information of the petrochemical heating furnace based on the preset judgment rules and operating parameters of each preset fault information; wherein the preset judgment rules of each preset fault information include the magnitude relationship between the preset fault index value and the operating parameter;

[0055] A level determination module, used to classify the fault risk level of the fault information of the petrochemical heating furnace, and determine the fault risk level of the fault information of the petrochemical heating furnace;

[0056] The fault warning module is used to match the fault information of the petrochemical heating furnace with the preset fault handling measures library to obtain the fault handling measures of the petrochemical heating furnace; wherein the preset fault handling measures library includes the mapping relationship between the fault information of the petrochemical heating furnace and the fault handling measures of the petrochemical heating furnace.

[0057] In a third aspect of the embodiments of the present invention, there is provided an electronic device, comprising: a processor and a memory, wherein the memory stores machine-readable instructions executable by the processor, and when the machine-readable instructions are executed by the processor, the above-mentioned method for monitoring the fault status of a petrochemical heating furnace is executed.

[0058] In a fourth aspect of the embodiments of the present invention, a computer-readable storage medium is provided, storing computer instructions, wherein when the computer instructions are executed on a computer, the computer executes the above-mentioned method for monitoring the fault status of a petrochemical heating furnace.

[0059] In this embodiment, the operating parameters of the petrochemical heating furnace in the actual combustion process are obtained; based on the preset judgment rules and operating parameters of each preset fault information, the fault information of the petrochemical heating furnace is determined; wherein the preset judgment rules of each preset fault information include the size relationship between the preset fault index value and the operating parameters; the fault risk level of the fault information of the petrochemical heating furnace is delineated to determine the fault risk level of the fault information of the petrochemical heating furnace; the fault information of the petrochemical heating furnace is matched with the preset fault handling measure library to obtain the fault handling measures of the petrochemical heating furnace; wherein the preset fault handling measure library includes the mapping relationship between the fault information of the petrochemical heating furnace and the fault handling measures of the petrochemical heating furnace. The present invention determines the fault information of the petrochemical heating furnace by analyzing the obtained operating parameters of the petrochemical heating furnace in the actual combustion process, and then finds the fault level and fault handling measures corresponding to the fault information of the petrochemical heating furnace from the predefined preset fault level table and the preset fault handling measure library, so that the petrochemical heating furnace can be comprehensively and accurately warned of faults.

[0060] Other features and advantages of the embodiments of the present invention will be described in detail in the subsequent detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] The accompanying drawings are used to provide a further understanding of the embodiments of the present invention and constitute a part of the specification. Together with the following specific implementations, they are used to explain the embodiments of the present invention, but do not constitute a limitation on the embodiments of the present invention. In the accompanying drawings:

[0062] Figure 1 It is a flow chart of a method for monitoring a petrochemical heating furnace fault state provided by an embodiment of the present invention;

[0063] Figure 2 It is a schematic diagram of the structure of a monitoring device for a petrochemical heating furnace fault state provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0064] The specific implementation of the embodiment of the present invention is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described here is only used to illustrate and explain the embodiment of the present invention, and is not used to limit the embodiment of the present invention.

[0065] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the present invention belongs; the terms used herein are only for the purpose of describing specific embodiments and are not intended to limit the present invention.

[0066] In the description of the embodiments of the present invention, the technical terms "first", "second", etc. are only used to distinguish different objects, and cannot be understood as indicating or implying relative importance or implicitly indicating the number, specific order or primary and secondary relationship of the indicated technical features. In the description of the embodiments of the present invention, the meaning of "multiple" is more than two, unless otherwise clearly and specifically defined.

[0067] Embodiment 1

[0068] Please refer to Figure 1 , Figure 1 1 is a flow chart of a method for monitoring a petrochemical heating furnace fault state provided by an embodiment of the present invention, the method comprising the following steps:

[0069] S100, obtaining operating parameters of the petrochemical heating furnace during the actual combustion process;

[0070] The operating parameters of the petrochemical heating furnace during the actual combustion process refer to the data of the petrochemical heating furnace during the actual combustion operation process. These data can be obtained through different means, including: characteristic parameters of flame morphology and DCS system monitoring data.

[0071] The characteristic parameters of flame morphology include: flame area, flame height, flame brightness, flame bottom RGB value, flame top RGB value, flame inclination angle and flame pulsation frequency; DCS system monitoring data include: discharge temperature, furnace temperature, incoming material flow rate, and combustion-supporting gas flow rate.

[0072] In one embodiment, characteristic parameters of the flame morphology can be obtained by the following steps:

[0073] S101, acquiring multiple frames of images in a petrochemical heating furnace during an actual combustion process;

[0074] S102, using different preset image recognition algorithms to respectively recognize multiple frames of images to obtain flame morphologies under each image recognition algorithm;

[0075] In one embodiment, the different image recognition algorithms include any two or three of the maximum inter-class method difference method, Boolean variable and Yolov5 algorithm.

[0076] It is understandable that there are many other types of image recognition algorithms, but the embodiments of the present invention only use two types, so the present invention does not specifically limit the types of image recognition algorithms.

[0077] S103, performing flame shape correction based on characteristic parameters of the flame shape under each image recognition algorithm to obtain a corrected flame shape;

[0078] S104, obtaining characteristic parameters of the flame morphology based on the corrected flame morphology.

[0079] In one embodiment, the DCS system monitoring data can be obtained by monitoring sensors at corresponding positions in the petrochemical heating furnace. For example, temperature monitoring sensors are respectively set at the discharge port and the furnace of the petrochemical heating furnace, and flow monitoring sensors are respectively set at the feed port and the main gas inlet of the petrochemical heating furnace. The embodiment of the present invention does not specifically limit the temperature monitoring sensor and the flow monitoring sensor, and they can be reasonably set according to the actual application environment.

[0080] S200, analyzing the operating parameters based on the preset fault index value to determine the fault information of the petrochemical heating furnace;

[0081] The preset fault index value refers to the index value that characterizes the fault of the petrochemical heating furnace, including: preset flame area, preset flame height, preset flame brightness, preset flame bottom RGB value, preset flame top RGB value, preset flame inclination angle, preset flame pulsation frequency, preset discharge temperature, preset furnace temperature, preset incoming material flow rate and preset combustion-supporting gas flow rate.

[0082] The specific implementation of step S200 can refer to the following steps:

[0083] S210, when the discharge temperature is lower than the preset discharge temperature, and the flame area is larger than the preset flame area or the flame brightness is larger than the preset flame brightness or the flame height is larger than the preset flame height, it is determined that the petrochemical heating furnace is in a furnace tube rupture state;

[0084] S220, when any one of the discharge temperature, furnace temperature, incoming material flow rate and combustion-supporting gas flow rate is correspondingly greater than the preset discharge temperature, the preset furnace temperature, the preset incoming material flow rate and the preset combustion-supporting gas flow rate, and the flame bottom RGB value is less than the preset flame bottom RGB value or the flame area is greater than the preset flame area or the flame height is greater than the preset flame height or the preset flame top RGB value is greater than the preset flame top RGB value, it is determined that the petrochemical heating furnace is in an over-fuel state;

[0085] S230, when the incoming material flow rate is less than the preset incoming material flow rate or the supporting combustion gas flow rate is greater than the preset supporting combustion gas flow rate, and the flame inclination angle is greater than the preset flame inclination angle or the flame pulsation frequency is greater than the preset flame pulsation frequency, it is determined that the petrochemical heating furnace is in a state of excessive supporting combustion gas;

[0086] S240, when the flame height is less than a preset flame height or the flame brightness is less than a preset flame brightness, it is determined that the petrochemical heating furnace is in a burner blocking state.

[0087] For ease of understanding, the following is explained in conjunction with Table 1:

[0088]

[0089]

[0090] Table 1

[0091] The increase and decrease in Table 1 refer to an increase or decrease compared to the respective preset values. The preset values ​​here refer to the preset flame area, the preset flame height, the preset flame brightness, the preset flame bottom RGB value, the preset flame top RGB value, the preset flame inclination angle, the preset flame pulsation frequency, the preset discharge temperature, the preset furnace temperature, the preset incoming material flow rate and the preset combustion-supporting gas flow rate.

[0092] As shown in Table 1, there are three situations that characterize furnace tube rupture. The first one is that the flame height is greater than the preset flame height, and the discharge temperature is less than the preset discharge temperature; the second one is that the flame area is greater than the preset flame area, and the discharge temperature is less than the preset discharge temperature; the third one is that the flame brightness is greater than the preset flame brightness, and the discharge temperature is less than the preset discharge temperature.

[0093] There are four situations that characterize excessive fuel. The first one is that the RGB value of the bottom of the flame is less than the preset RGB value of the bottom of the flame (that is, there is no flame), and any one of the four of the discharge temperature, furnace temperature, incoming material flow rate and gas flow rate is greater than the corresponding preset value; the second one is that the flame area is greater than the preset flame area, and any one of the four of the discharge temperature, furnace temperature, incoming material flow rate and gas flow rate is greater than the corresponding preset value; the third one is that the flame height is greater than the preset flame height, and any one of the four of the discharge temperature, furnace temperature, incoming material flow rate and gas flow rate is greater than the corresponding preset value; the fourth one is that the RGB value of the top of the flame is greater than the preset RGB value of the top of the flame, and any one of the four of the discharge temperature, furnace temperature, incoming material flow rate and gas flow rate is greater than the corresponding preset value;

[0094] There are four situations that characterize excessive combustion-supporting gas: the first one: the flame inclination angle is greater than the preset flame inclination angle, and the combustion-supporting gas flow rate is greater than the preset flame combustion-supporting gas flow rate; the second one: the flame inclination angle is greater than the preset flame inclination angle, and the incoming material flow rate is less than the preset incoming material flow rate; the third one: the flame pulsation frequency is greater than the preset flame pulsation frequency, and the incoming material flow rate is less than the preset incoming material flow rate; the fourth one: the flame pulsation frequency is greater than the preset flame pulsation frequency, and the combustion-supporting gas flow rate is greater than the preset flame combustion-supporting gas flow rate;

[0095] There are two situations that characterize burner blockage. The first one is that the flame height is less than the preset flame height, and the second one is that the flame brightness is less than the preset flame brightness.

[0096] In one embodiment, the following steps may be further included after step S200:

[0097] S201, forming an intermediate fault set based on other preset fault information except the determined fault information of the petrochemical heating furnace;

[0098] S202, determining whether some of the operating parameters corresponding to each preset fault information in the intermediate fault set meet the preset judgment rule of the corresponding preset fault information, while other operating parameters do not meet the preset judgment rule of the corresponding preset fault information;

[0099] S203: If yes, the corresponding preset fault information is marked as disputed fault information;

[0100] S204, traverse the intermediate fault set, obtain all disputed fault information, form a disputed fault set, and the remaining fault information forms an initial fault set to be classified;

[0101] S205, based on the redundancy determination rule, performing fault determination on each preset fault information in the disputed fault set to obtain a single fault set; wherein the corresponding operating parameters under each preset fault information in the single fault set meet the preset determination rule of the corresponding preset fault information;

[0102] S206, based on the single fault set and the initial fault set to be classified, a union is calculated to obtain a fault set to be classified.

[0103] Specifically, step S205 may further include:

[0104] S2051, determining the operating parameters of each preset fault information in the disputed fault set, and enumerating each operating parameter based on a preset topology rule;

[0105] S2052, in the topology rule, only one variable of the enumerated preset fault indicator value is changed each time, and the other values ​​are all preset values, so as to obtain multiple topology rules;

[0106] S2053, based on each topological rule, fault information is judged in sequence, influence weights of each operating parameter are obtained based on the judgment result, and the influence weights of each operating parameter are sorted, where the higher the influence weight, the higher the sorting;

[0107] S2054, re-collecting each operating parameter in turn based on the impact weight sorting result, performing a fault information judgment once each operating parameter is obtained, and updating the disputed fault set based on the newly obtained fault information;

[0108] S2055, each time the disputed fault set is updated, it is determined whether the corresponding operating parameters under each preset fault information of the updated intermediate fault set partially meet the preset judgment rules of the corresponding preset fault information;

[0109] S2056, if yes, then re-collect the next operating parameter based on the impact weight sorting result, and repeat the updating and judgment of the disputed fault set, until each preset fault information of the updated disputed fault meets the preset judgment rule of the corresponding preset fault information, and then take the latest disputed fault set as a single fault set;

[0110] S2057: If not, stop running the parameters and re-collect them, and take the latest disputed fault set as a single fault set.

[0111] In this embodiment, when the judgment results of any multiple judgment processes are contradictory, for example, when the RGB value of the bottom of the flame decreases, but the flame area decreases, the judgment result of the former is that the fuel increases, while the judgment result of the latter is that the fuel decreases. In this case, it is necessary to treat the corresponding contradictory judgment results as disputed results, and re-judge based on the disputed results, so as to expand the coupling parameter types.

[0112] S300, classifying the fault risk level of the fault information of the petrochemical heating furnace, and determining the fault risk level of the fault information of the petrochemical heating furnace;

[0113] The specific implementation of step S300 can refer to the following steps:

[0114] S310, calculating the absolute value of the difference between the operating parameter corresponding to the fault information of the petrochemical heating furnace and the corresponding preset fault index value;

[0115] S320, associating the absolute value of each difference with a preset fault indicator value of the operating parameter corresponding to the difference, to obtain an association relationship;

[0116] S330, extracting association relationship weights from a weight library based on the association relationship;

[0117] S340, de-dimensionalizing the absolute values ​​of the differences, and calculating the risk score of the fault information of the petrochemical heating furnace based on the corresponding correlation relationship of the processed absolute values ​​of the differences, and the calculation rule is:

[0118] S i =T 1 ×ω 1 +T 2 ×ω 2 +…T n ×ω n

[0119] Among them, S i The risk score of the fault information of the petrochemical heating furnace is T n is the absolute value of the difference between the nth operating parameter in the fault information of the petrochemical heating furnace and its corresponding preset fault index value; ω n is the association weight corresponding to the nth association in the fault information of the petrochemical heating furnace;

[0120] In this embodiment, the dedimensionalization process is used to eliminate the influence of inconsistent numerical units of eigenvalues ​​on the calculation results.

[0121] S350, determining the fault risk level of the fault information of the petrochemical heating furnace based on the risk score of the fault information of the petrochemical heating furnace and a preset level score table.

[0122] The preset grade value table is introduced as shown in Table 2 below:

[0123] Risk Scoring Failure level 90 Level 1 60 Level 2 40 Level 3 10 Level 4

[0124] Table 2 (Preset grade value table)

[0125] S400, matching the fault information of the petrochemical heating furnace with a preset fault handling measure library to obtain the fault handling measures of the petrochemical heating furnace; wherein the preset fault handling measure library includes a mapping relationship between the fault information of the petrochemical heating furnace and the fault handling measures of the petrochemical heating furnace.

[0126] Before introducing the specific content of step S400, the preset fault handling measure library is first introduced, as shown in Table 3 below:

[0127] Fault Information Troubleshooting measures Furnace tube rupture Turn off the flame immediately and close the fuel valve Too much fuel Reduce the amount of fuel injected Too much supporting gas Reduce the injection amount of supporting gas Burner blockage Tracing the source of blockage in the burner

[0128] Table 3 (Preset fault handling measures library)

[0129] Specifically, when the petrochemical heating furnace is in a furnace tube rupture state, combined with Table 2 and Table 3, it is determined that the fault level of the petrochemical road is level one, and the fault handling measures are to immediately turn off the flame and close the fuel valve. The fault level and fault handling measures for determining the fault information of other petrochemical heating furnaces are based on the above and are not repeated here.

[0130] In this embodiment, the operating parameters of the petrochemical heating furnace in the actual combustion process are obtained; based on the preset fault index value, the operating parameters are analyzed to determine the fault information of the petrochemical heating furnace; the fault information of the petrochemical heating furnace is matched with the preset fault level table and the preset fault handling measures library respectively to obtain the fault level of the petrochemical heating furnace and the fault handling measures of the petrochemical heating furnace; wherein the preset fault level table includes the mapping relationship between the fault information of the petrochemical heating furnace and the fault level of the petrochemical heating furnace; the preset fault handling measures library includes the mapping relationship between the fault information of the petrochemical heating furnace and the fault handling measures of the petrochemical heating furnace. The present invention determines the fault information of the petrochemical heating furnace by analyzing the operating parameters of the obtained petrochemical heating furnace in the actual combustion process, and then finds the fault level and fault handling measures corresponding to the fault information of the petrochemical heating furnace from the predefined preset fault level table and the preset fault handling measures library, so as to comprehensively and accurately carry out fault warning for the petrochemical heating furnace.

[0131] Optionally, after step S400, the following steps may also be performed:

[0132] S500, based on the fault risk level of the fault information of the petrochemical heating furnace, determine the push rule of the fault information of the petrochemical heating furnace; wherein the push rule includes: any one or more combinations of sequential push, differentiated display push, and alarm level differentiated push.

[0133] S600, according to the push rule of the fault information of the petrochemical heating furnace, the fault information of the petrochemical heating furnace, the fault level of the fault information of the petrochemical heating furnace and the fault handling measures of the petrochemical heating furnace are displayed.

[0134] In this embodiment, by visually displaying the fault information of the petrochemical heating furnace, the fault level of the petrochemical heating furnace and the fault handling measures of the petrochemical heating furnace, the user can intuitively understand the current situation of the petrochemical road and arrange relevant personnel to perform maintenance in time according to the displayed fault level and fault handling measures.

[0135] Embodiment 2

[0136] In one or more of the above embodiments, the operating parameters of the petrochemical heating furnace in the actual combustion process of the embodiment of the present invention can also be other data, such as: flue gas temperature, oxygen flow rate, etc., and the preset fault index value has a one-to-one correspondence in quantity with the operating parameters of the petrochemical heating furnace in the actual combustion process, that is, the number of operating parameters of the petrochemical heating furnace in the actual combustion process is the same as the number of preset fault index values, such as: preset flue gas temperature and preset oxygen flow rate, so that the fault information can also be that the steel embryo is severely oxidized and burned, and the preset fault level table and the preset fault handling measures library have a one-to-one correspondence with the fault information, that is, the preset fault level table also includes the fault level of severe oxidation and burning of the steel embryo, and the preset fault handling measures library also includes the fault handling measures for severe oxidation and burning of the steel embryo. Therefore, the embodiment of the present invention does not specifically limit the operating parameters, preset fault index values, preset fault level table and preset fault handling measures library of the petrochemical heating furnace in the actual combustion process, and is based on the ability to characterize furnace tube rupture, excessive fuel, excessive combustion-supporting gas and burner blockage.

[0137] Embodiment 3

[0138] Please refer to Figure 2 , Figure 2 1 is a schematic diagram of the structure of a monitoring device for a petrochemical heating furnace fault state provided by an embodiment of the present invention. The monitoring device 200 for a petrochemical heating furnace fault state includes:

[0139] The data acquisition module 210 is used to obtain the operating parameters of the petrochemical heating furnace during the actual combustion process;

[0140] The fault determination module 220 is used to determine the fault information of the petrochemical heating furnace based on the preset judgment rules and operating parameters of each preset fault information; wherein the preset judgment rules of each preset fault information include the magnitude relationship between the preset fault index value and the operating parameter;

[0141] The level determination module 230 is used to classify the fault risk level of the fault information of the petrochemical heating furnace and determine the fault risk level of the fault information of the petrochemical heating furnace;

[0142] The fault warning module 240 is used to match the fault information of the petrochemical heating furnace with the preset fault handling measure library to obtain the fault handling measures of the petrochemical heating furnace; wherein the preset fault handling measure library includes the mapping relationship between the fault information of the petrochemical heating furnace and the fault handling measures of the petrochemical heating furnace.

[0143] Embodiment 4

[0144] In a typical configuration, an electronic device includes: a processor and a memory, wherein the memory stores machine-readable instructions executable by the processor, and when the machine-readable instructions are executed by the processor, the above-mentioned method for monitoring the fault status of a petrochemical heating furnace is executed.

[0145] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0146] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0147] Embodiment 5

[0148] An embodiment of the present invention also provides a computer-readable storage medium, on which instructions are stored, and the instructions are used to execute a program with the following method steps when executed by a processor: obtaining the operating parameters of a petrochemical heating furnace during an actual combustion process; determining the fault information of the petrochemical heating furnace based on preset judgment rules and operating parameters of each preset fault information; wherein the preset judgment rules of each preset fault information include the relationship between the preset fault index value and the operating parameter; classifying the fault risk level of the fault information of the petrochemical heating furnace to determine the fault risk level of the fault information of the petrochemical heating furnace; matching the fault information of the petrochemical heating furnace with a preset fault handling measure library to obtain the fault handling measures of the petrochemical heating furnace; wherein the preset fault handling measure library includes a mapping relationship between the fault information of the petrochemical heating furnace and the fault handling measures of the petrochemical heating furnace

[0149] In one embodiment, the monitoring method for the fault status of the above-mentioned petrochemical heating furnace also includes: obtaining multiple frames of images during the actual combustion process in the petrochemical heating furnace; using different preset image recognition algorithms to recognize the multiple frames of images respectively, and obtain the flame morphology under each image recognition algorithm; based on the characteristic parameters of the flame morphology under each image recognition algorithm, correcting the flame morphology to obtain the corrected flame morphology; based on the corrected flame morphology, obtaining the characteristic parameters of the flame morphology.

[0150] In one embodiment, the above-mentioned method for monitoring the fault state of the petrochemical heating furnace also includes: when the discharge temperature is lower than the preset discharge temperature, and the flame area is greater than the preset flame area or the flame brightness is greater than the preset flame brightness or the flame height is greater than the preset flame height, it is determined that the petrochemical heating furnace is in a furnace tube rupture state; when any one of the discharge temperature, furnace temperature, incoming material flow rate and auxiliary gas flow rate is correspondingly greater than the preset discharge temperature, the preset furnace temperature, the preset incoming material flow rate and the preset auxiliary gas flow rate, and the flame bottom RGB value is less than the preset flame bottom RGB value or the flame area is greater than the preset flame area or the flame height is greater than the preset flame height or the preset flame top RGB value is greater than the preset flame top RGB value, it is determined that the petrochemical heating furnace is in a fuel-excessive state; when the incoming material flow rate is less than the preset incoming material flow rate or the auxiliary gas flow rate is greater than the preset auxiliary gas flow rate, and the flame inclination angle is greater than the preset flame inclination angle or the flame pulsation frequency is greater than the preset flame pulsation frequency, it is determined that the petrochemical heating furnace is in a fuel-excessive state; when the flame height is less than the preset flame height or the flame brightness is less than the preset flame brightness, it is determined that the petrochemical heating furnace is in a burner blockage state.

[0151] In one embodiment, the above-mentioned method for monitoring the fault status of a petrochemical heating furnace also includes: forming an intermediate fault set based on other preset fault information other than the determined fault information of the petrochemical heating furnace; judging whether there are some operating parameters corresponding to each preset fault information in the intermediate fault set that partially meet the preset judgment rules of the corresponding preset fault information, while other operating parameters do not meet the preset judgment rules of the corresponding preset fault information; if so, marking the corresponding preset fault information as disputed fault information; traversing the intermediate fault set to obtain all disputed fault information to form a disputed fault set, and the remaining fault information forms an initial fault set to be classified; based on redundant judgment rules, performing fault analysis on each preset fault information in the disputed fault set to obtain a single fault set; wherein the corresponding operating parameters under each preset fault information in the single fault set meet the preset judgment rules of the corresponding preset fault information; based on the single fault set and the initial fault set to be classified, obtaining the fault set to be classified after obtaining the union.

[0152] In one embodiment, the above-mentioned method for monitoring the fault status of a petrochemical heating furnace further includes: determining the operating parameters of each preset fault information in the disputed fault set, and enumerating each operating parameter based on a preset topological rule; in the topological rule, only one variable of the enumerated preset fault indicator value is changed each time, and the other values ​​are all preset values, so as to obtain multiple topological rules; based on each topological rule, fault information is judged in turn, and the influence weight of each operating parameter is obtained based on the judgment result, and the influence weight of each operating parameter is sorted, the higher the influence weight, the higher the ranking; based on the sorting result of the influence weight, each operating parameter is re-collected in turn, and a fault is collected once each operating parameter is obtained. The disputed fault set is updated based on the newly obtained fault information; each time the disputed fault set is updated, it is determined whether the corresponding operating parameters under each preset fault information of the updated intermediate fault set partially meet the preset judgment rules of the corresponding preset fault information; if so, the next operating parameter is re-collected based on the impact weight sorting result, and the disputed fault set is updated and judged repeatedly until each preset fault information of the updated disputed fault meets the preset judgment rules of the corresponding preset fault information, and the latest disputed fault set is taken as a single fault set; if not, the operating parameter re-collection is stopped, and the latest disputed fault set is taken as a single fault set.

[0153] In one embodiment, the above-mentioned petrochemical heating furnace fault status monitoring method further includes: calculating the absolute value of the difference between the operating parameter corresponding to the fault information of the petrochemical heating furnace and the corresponding preset fault index value; associating each absolute value of the difference with the preset fault index value of the corresponding operating parameter to be differentiated to obtain an association relationship; extracting the association relationship weight in the weight library based on the association relationship; de-dimensionalizing each absolute value of the difference, and based on the corresponding association relationship of the processed absolute value of the difference, calculating the risk score of the fault information of the petrochemical heating furnace, the calculation rule is: S i =T 1 ×ω 1 +T 2 ×ω 2 +…T n ×ω n Among them, S i The risk score of the fault information of the petrochemical heating furnace is T n is the absolute value of the difference between the nth operating parameter in the fault information of the petrochemical heating furnace and its corresponding preset fault index value; ω n is the association weight corresponding to the nth association in the fault information of the petrochemical heating furnace; the fault risk level of the fault information of the petrochemical heating furnace is determined based on the risk score of the fault information of the petrochemical heating furnace and a preset level score table.

[0154] In one embodiment, the above-mentioned method for monitoring the fault status of the petrochemical heating furnace also includes: determining the push rules of the fault information of the petrochemical heating furnace based on the fault risk level of the fault information of the petrochemical heating furnace; wherein; the push rules include: any one or more combinations of sequential push, differentiated display push, and alarm level differentiated push; according to the push rules of the fault information of the petrochemical heating furnace, the fault information of the petrochemical heating furnace, the fault level of the fault information of the petrochemical heating furnace and the fault handling measures of the petrochemical heating furnace are displayed.

[0155] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0156] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0157] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0158] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0159] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. To avoid unnecessary repetition, the embodiments of the present invention will not further describe various possible combinations.

[0160] In addition, the functional modules in the various embodiments of the present invention may be integrated together to form an independent part, or each module may exist independently, or two or more modules may be integrated to form an independent part.

[0161] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0162] The above are only embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent substitution, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.

Claims

1. A method for monitoring the fault status of a petrochemical heating furnace, characterized in that: include: Obtain the operating parameters of the petrochemical heating furnace during the actual combustion process; Based on the preset judgment rules and operating parameters of each preset fault information, the fault information of the petrochemical heating furnace is determined; wherein the preset judgment rules of each preset fault information include the magnitude relationship between the preset fault index value and the operating parameter; Determine the fault risk level of the fault information of the petrochemical heating furnace and determine the fault risk level of the fault information of the petrochemical heating furnace; The fault information of the petrochemical heating furnace is matched with a preset fault handling measure library to obtain the fault handling measures of the petrochemical heating furnace; wherein the preset fault handling measure library includes a mapping relationship between the fault information of the petrochemical heating furnace and the fault handling measures of the petrochemical heating furnace.

2. The method for monitoring the fault status of a petrochemical heating furnace according to claim 1, characterized in that: The operating parameters include: characteristic parameters of flame morphology and DCS system monitoring data; The characteristic parameters of flame morphology include: flame area, flame height, flame brightness, flame bottom RGB value, flame top RGB value, flame inclination angle and flame pulsation frequency; The DCS system monitoring data includes: discharge temperature, furnace temperature, incoming material flow rate, and auxiliary gas flow rate.

3. The method for monitoring the fault status of a petrochemical heating furnace according to claim 2, characterized in that: The characteristic parameters of the flame morphology are obtained in the following way: Acquire multiple frames of images of the actual combustion process in a petrochemical heating furnace; Using different preset image recognition algorithms, multiple frames of images are recognized respectively to obtain the flame morphology under each image recognition algorithm; Based on the characteristic parameters of the flame morphology under each image recognition algorithm, the flame morphology is corrected to obtain the corrected flame morphology; Based on the corrected flame morphology, characteristic parameters of the flame morphology are obtained.

4. The method for monitoring the fault status of a petrochemical heating furnace according to claim 3, characterized in that: The preset different image recognition algorithms include: any two or three of the maximum inter-class method difference method, Boolean variable and Yolo v5 algorithm.

5. The method for monitoring the fault status of a petrochemical heating furnace according to claim 2, characterized in that: The preset fault index values ​​include: preset flame area, preset flame height, preset flame brightness, preset flame bottom RGB value, preset flame top RGB value, preset flame inclination angle, preset flame pulsation frequency, preset discharge temperature, preset furnace temperature, preset incoming material flow rate and preset combustion-supporting gas flow rate; Based on the preset judgment rules and operating parameters of each preset fault information, the fault information of the petrochemical heating furnace is determined, including: When the discharge temperature is lower than the preset discharge temperature, and the flame area is larger than the preset flame area, or the flame brightness is larger than the preset flame brightness, or the flame height is larger than the preset flame height, it is determined that the petrochemical heating furnace is in a furnace tube rupture state; When any one of the discharge temperature, furnace temperature, incoming material flow rate and combustion-supporting gas flow rate is correspondingly greater than the preset discharge temperature, the preset furnace temperature, the preset incoming material flow rate and the preset combustion-supporting gas flow rate, and the flame bottom RGB value is less than the preset flame bottom RGB value or the flame area is greater than the preset flame area or the flame height is greater than the preset flame height or the preset flame top RGB value is greater than the preset flame top RGB value, it is determined that the petrochemical heating furnace is in an over-fuel state; When the incoming material flow rate is less than the preset incoming material flow rate or the supporting combustion gas flow rate is greater than the preset supporting combustion gas flow rate, and the flame inclination angle is greater than the preset flame inclination angle or the flame pulsation frequency is greater than the preset flame pulsation frequency, it is determined that the petrochemical heating furnace is in a state of excessive supporting combustion gas; When the flame height is less than a preset flame height or the flame brightness is less than a preset flame brightness, it is determined that the petrochemical heating furnace is in a burner blockage state.

6. The method for monitoring the fault status of a petrochemical heating furnace according to claim 1, characterized in that: After determining the fault information of the petrochemical heating furnace, it also includes: forming an intermediate fault set based on other preset fault information except the determined fault information of the petrochemical heating furnace; Determine whether some of the operating parameters corresponding to each preset fault information in the intermediate fault set meet the preset judgment rule of the corresponding preset fault information, while other operating parameters do not meet the preset judgment rule of the corresponding preset fault information; If yes, the corresponding preset fault information is marked as disputed fault information; Traverse the intermediate fault set, obtain all disputed fault information, form a disputed fault set, and the remaining fault information forms the initial fault set to be classified; Based on the redundancy judgment rule, each preset fault information in the disputed fault set is subjected to fault analysis to obtain a single fault set; wherein the corresponding operating parameters under each preset fault information in the single fault set meet the preset judgment rule of the corresponding preset fault information; Based on the single fault set and the initial fault set to be classified, the fault set to be classified is obtained by calculating the union.

7. The method for monitoring the fault status of a petrochemical heating furnace according to claim 6, characterized in that: Based on the redundancy determination rules, each preset fault information in the disputed fault set is identified to obtain a single fault set, including: Determine the operating parameters of each preset fault information in the disputed fault set, and enumerate each operating parameter based on the preset topology rule; In the topology rules, only one variable of the enumerated preset fault index value is changed each time, and the other values ​​are all preset values, so as to obtain multiple topology rules; Based on each topological rule, fault information is judged in turn, and the influence weight of each operating parameter is obtained based on the judgment result. The influence weight of each operating parameter is sorted. The higher the influence weight, the higher the ranking. Based on the impact weight sorting results, each operating parameter is re-collected in turn. Each time an operating parameter is obtained, a fault information judgment is performed, and the disputed fault set is updated based on the newly obtained fault information; Each time the disputed fault set is updated, it is determined whether the corresponding operating parameters under each preset fault information of the updated intermediate fault set partially meet the preset judgment rules of the corresponding preset fault information; If yes, then the next operating parameter is re-collected based on the impact weight sorting result, and the disputed fault set is updated and judged repeatedly until each preset fault information of the updated disputed fault meets the preset judgment rule of the corresponding preset fault information, and the latest disputed fault set is taken as a single fault set; If not, stop running the parameters and re-collect them, taking the latest disputed fault set as a single fault set.

8. The method for monitoring the fault status of a petrochemical heating furnace according to claim 1, characterized in that: Determine the fault risk level of the fault information of the petrochemical heating furnace, and determine the fault risk level of the fault information of the petrochemical heating furnace, including: Calculate the absolute value of the difference between the operating parameter corresponding to the fault information of the petrochemical heating furnace and the corresponding preset fault index value; Associating the absolute value of each difference with the preset fault index value of the corresponding operating parameter to obtain the difference, to obtain a correlation relationship; Extracting association relationship weights from a weight library based on the association relationship; The absolute values ​​of the differences are dedimensionalized, and based on the corresponding correlation relationship of the absolute values ​​of the differences after processing, the risk score of the fault information of the petrochemical heating furnace is calculated. The calculation rule is: S i =T1×ω1+T2×ω2+…T n ×ω n Among them, S i The risk score of the fault information of the petrochemical heating furnace is T n is the absolute value of the difference between the nth operating parameter in the fault information of the petrochemical heating furnace and its corresponding preset fault index value; ω n is the association weight corresponding to the nth association in the fault information of the petrochemical heating furnace; The fault risk level of the petrochemical heating furnace's fault information is determined based on the risk score of the petrochemical heating furnace's fault information and a preset grade score table.

9. The method for monitoring the fault status of a petrochemical heating furnace according to claim 6, characterized in that: After the step of matching the fault information of the petrochemical heating furnace with the preset fault handling measure library to obtain the fault handling measures of the petrochemical heating furnace, the method further includes: Based on the fault risk level of the fault information of the petrochemical heating furnace, a push rule for the fault information of the petrochemical heating furnace is determined; wherein the push rule includes: any one or more combinations of sequential push, differentiated display push, and alarm level differentiated push; According to the push rule of the fault information of the petrochemical heating furnace, the fault information of the petrochemical heating furnace, the fault level of the fault information of the petrochemical heating furnace and the fault handling measures of the petrochemical heating furnace are displayed.

10. A monitoring device for a petrochemical heating furnace fault state, characterized in that: include: The data acquisition module is used to obtain the operating parameters of the petrochemical heating furnace during the actual combustion process; A fault determination module is used to determine the fault information of the petrochemical heating furnace based on the preset judgment rules and operating parameters of each preset fault information; wherein the preset judgment rules of each preset fault information include the magnitude relationship between the preset fault index value and the operating parameter; A level determination module, used to classify the fault risk level of the fault information of the petrochemical heating furnace, and determine the fault risk level of the fault information of the petrochemical heating furnace; The fault warning module is used to match the fault information of the petrochemical heating furnace with the preset fault handling measures library to obtain the fault handling measures of the petrochemical heating furnace; wherein the preset fault handling measures library includes the mapping relationship between the fault information of the petrochemical heating furnace and the fault handling measures of the petrochemical heating furnace.

11. An electronic device, characterized in that: include: A processor and a memory, wherein the memory stores machine-readable instructions executable by the processor, and when the machine-readable instructions are executed by the processor, the method for monitoring the fault status of a petrochemical heating furnace according to any one of claims 1 to 9 is executed.

12. A computer-readable storage medium storing computer instructions, characterized in that: When the computer instructions are executed on a computer, the computer is enabled to execute the method for monitoring the fault status of a petrochemical heating furnace according to any one of claims 1 to 9.

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