Online oil chromatography acetylene false alarm elimination method, device and equipment and storage medium

The authenticity of acetylene alarm is determined by calculating the acetylene retention time change in the oil chromatography monitoring device, which solves the problem of high false alarm rate, achieves more efficient and accurate detection, and reduces operation and maintenance costs.

CN119534732APending Publication Date: 2025-02-28YUNNAN POWER GRID CO LTD ELECTRIC POWER RES INST
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Patent Information

Application Number
CN202411706372.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-26
Publication Date
2025-02-28

AI Technical Summary

Technical Problem

The existing oil chromatography monitoring device has a high false alarm rate when detecting acetylene, which causes equipment operation and maintenance personnel to spend a lot of time and energy on secondary testing, which increases labor costs and wastes time.

Method used

When the acetylene exceeds the standard alarm is triggered, the oil chromatographic data information to be analyzed is obtained, the retention time change of acetylene is calculated, and whether the alarm is a false alarm is determined based on the change.

Benefits of technology

It effectively reduces the incidence of acetylene false alarms, reduces the demand for manual inspection, reduces the operation and maintenance costs, and improves the accuracy and efficiency of inspection.

✦ Generated by Eureka AI based on patent content.

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Abstract

The embodiment of the invention discloses an online oil chromatography acetylene false alarm elimination method, device and equipment and a storage medium, the method comprises the following steps: under the condition of triggering acetylene standard exceeding alarm, acquiring to-be-analyzed oil chromatography data information, the to-be-analyzed oil chromatography data information comprising retention time of acetylene and retention time of all components; calculating the variation of the retention time of acetylene according to the oil chromatography data information; and determining whether the acetylene standard exceeding alarm is a false alarm or not according to the variation of the retention time of acetylene, so that whether the oil chromatography acetylene data is a false alarm or not can be more effectively and accurately determined to eliminate false alarm data information, thereby reducing the false alarm rate and reducing the labor and operation maintenance cost.
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Description

Technical Field

[0001] The invention relates to the technical field of transformer fault monitoring, and in particular to an online oil chromatography acetylene false alarm elimination method, device, equipment and storage medium. Background Art

[0002] Power transformer failure may cause power supply interruption, equipment damage or even explosion, posing a serious threat to the safe and stable operation of the power grid. Therefore, timely and accurate diagnosis of whether there is a fault inside the power transformer is an important part of power system maintenance and management.

[0003] By monitoring the dissolved gases in the oil (C2H2, C2H4, C2H6, CH4, H2), the internal operation of the oil-filled power transformer can be effectively monitored, and internal faults of the equipment can be discovered in time. At present, an oil chromatography monitoring device is used for data sampling. After data detection and analysis, when the monitoring result detected by the monitoring device is higher than the preset standard, the oil chromatography monitoring device sends out an alarm signal. Among these components, acetylene (C2H2) is the most important. Once acetylene appears, it means that the equipment is likely to have a discharge failure. After receiving the acetylene alarm signal, the equipment operation and maintenance personnel will take secondary samples and conduct laboratory tests to determine whether the oil-filled power transformer is indeed faulty.

[0004] The current oil chromatography monitoring device can determine the specific concentration of acetylene in the oil. When the acetylene content exceeds the set value, the device triggers an alarm, but the false alarm rate is high, causing equipment operation and maintenance personnel to spend a lot of time and energy on secondary testing to finally determine whether a fault has occurred, resulting in a large increase in labor costs. In addition, taking oil samples for monitoring wastes time and easily misses the best decision-making period. Summary of the invention

[0005] The main purpose of the present invention is to provide a method, device, equipment and storage medium for eliminating online oil chromatography acetylene false alarms, which can more effectively and accurately determine whether acetylene is a false alarm in online oil chromatography detection.

[0006] To achieve the above object, the present application provides a method for eliminating false alarms of acetylene in online oil chromatography, the method comprising:

[0007] When an acetylene over-limit alarm is triggered, obtaining chromatographic data information of the oil to be analyzed, wherein the chromatographic data information of the oil to be analyzed includes the retention time of acetylene and the retention time of all components;

[0008] Calculating the change in retention time of acetylene according to the oil chromatography data information;

[0009] Whether the acetylene excess alarm is a false alarm is determined according to the change in the retention time of the acetylene.

[0010] Optionally, the calculating the change in retention time of acetylene according to the oil chromatography data information includes:

[0011] Obtaining the first difference between the current acetylene retention time and the previous acetylene retention time;

[0012] The ratio of the first difference to the last retention time of acetylene is calculated as the change in the retention time of acetylene.

[0013] Optionally, determining whether the acetylene excess alarm is a false alarm according to the change in the retention time of the acetylene includes:

[0014] If the change in the retention time of acetylene is greater than or equal to the change threshold, determining that the acetylene excess alarm is a false alarm;

[0015] If the change in the retention time of acetylene is less than a change threshold, the method further includes:

[0016] Whether the acetylene excess alarm is a false alarm is determined according to the change in retention time of all components.

[0017] Optionally, determining whether the acetylene excess alarm is a false alarm according to the change in retention time of all components includes:

[0018] If the variation of the retention time of all the components is greater than or equal to the variation threshold, it is determined that the acetylene excess alarm is a false alarm.

[0019] Optionally, the method further includes:

[0020] If the change in retention time of all components is less than the change threshold, calculating the total change in hydrogen hydrocarbons excluding acetylene;

[0021] If the total amount of hydrogen hydrocarbons other than acetylene changes less than the change amount threshold, determining that the acetylene over-limit alarm is a false alarm;

[0022] If the total amount of hydrogen hydrocarbons other than acetylene changes more than or equal to the change amount threshold, it is determined that the acetylene excess alarm is a normal alarm.

[0023] Optionally, the calculation of the total amount of hydrogen hydrocarbons other than acetylene includes:

[0024] Obtain the third difference between the sum of the current methane, ethane, ethylene, and hydrogen concentrations and the sum of the previous methane, ethane, ethylene, and hydrogen concentrations;

[0025] The ratio of the third difference to the sum of the previous methane, ethane, ethylene and hydrogen concentrations is calculated to obtain the total amount change of hydrogen hydrocarbons excluding acetylene.

[0026] Optionally, the method further includes:

[0027] Use the trained trend prediction model to process the online monitoring data before the alarm and identify the target trend type;

[0028] The target trend type is used to determine whether the acetylene excess alarm is a false alarm.

[0029] On the other hand, the present application also provides an online oil chromatography acetylene false alarm elimination device, comprising:

[0030] An acquisition module, used for acquiring chromatographic data information of the oil to be analyzed when an acetylene over-limit alarm is triggered, wherein the chromatographic data information of the oil to be analyzed includes the retention time of acetylene and the retention time of all components;

[0031] A calculation module, used for calculating the change in retention time of acetylene according to the oil chromatography data information;

[0032] A determination module is used to determine whether the acetylene excess alarm is a false alarm according to the change in the retention time of the acetylene.

[0033] Optionally, the computing module is specifically used for:

[0034] Obtaining the first difference between the current acetylene retention time and the previous acetylene retention time;

[0035] The ratio of the first difference to the last retention time of acetylene is calculated as the change in the retention time of acetylene.

[0036] Optionally, the determining module is specifically used to:

[0037] If the change in the retention time of acetylene is greater than or equal to the change threshold, determining that the acetylene excess alarm is a false alarm;

[0038] If the change in the retention time of acetylene is less than a change threshold, the method further includes:

[0039] Whether the acetylene excess alarm is a false alarm is determined according to the change in retention time of all components.

[0040] Optionally, the determining module is specifically used to:

[0041] If the variation of the retention time of all the components is greater than or equal to the variation threshold, it is determined that the acetylene excess alarm is a false alarm.

[0042] Optionally, the determining module is further used to:

[0043] If the change in retention time of all components is less than the change threshold, calculating the total change in hydrogen hydrocarbons excluding acetylene;

[0044] If the total amount of hydrogen hydrocarbons other than acetylene changes less than the change amount threshold, determining that the acetylene over-limit alarm is a false alarm;

[0045] If the total amount of hydrogen hydrocarbons other than acetylene changes more than or equal to the change amount threshold, it is determined that the acetylene excess alarm is a normal alarm.

[0046] Optionally, the computing module is specifically used for:

[0047] Obtain the third difference between the sum of the current methane, ethane, ethylene, and hydrogen concentrations and the sum of the previous methane, ethane, ethylene, and hydrogen concentrations;

[0048] The ratio of the third difference to the sum of the previous methane, ethane, ethylene and hydrogen concentrations is calculated to obtain the total amount change of hydrogen hydrocarbons excluding acetylene.

[0049] Optionally, a prediction module is also included to:

[0050] Use the trained trend prediction model to process the online monitoring data before the alarm and identify the target trend type;

[0051] The target trend type is used to determine whether the acetylene excess alarm is a false alarm.

[0052] On the other hand, the present application provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the first aspect and any possible implementation method thereof.

[0053] On the other hand, the present application provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, the processor executes each step of the method described in the first aspect.

[0054] The present application provides an online oil chromatography acetylene false alarm elimination method, device, equipment and storage medium. When an acetylene over-standard alarm is triggered, oil chromatography data information to be analyzed is obtained, wherein the oil chromatography data information to be analyzed includes the retention time of acetylene and the retention time of all components; the change in the retention time of acetylene is calculated according to the oil chromatography data information; and whether the acetylene over-standard alarm is a false alarm is determined according to the change in the retention time of acetylene. The retention time of the chromatographic peak can be used to more effectively and accurately determine whether the oil chromatography acetylene data is a false alarm, and the false alarm alarm data information is eliminated, thereby reducing the false alarm rate and reducing labor and operation and maintenance costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0056] in:

[0057] Figure 1 A schematic diagram of a process for eliminating false alarms of acetylene in online oil chromatography provided in an embodiment of the present application;

[0058] Figure 2 A schematic diagram of a chromatogram affected by different false alarm factors provided in an embodiment of the present application;

[0059] Figure 3 This is a structural schematic diagram of an online oil chromatography acetylene false alarm elimination device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0060] In order to enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present application.

[0061] The terms "first", "second", etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices.

[0062] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0063] The embodiments of the present application are described below in conjunction with the drawings in the embodiments of the present application.

[0064] See also Figure 1 , is a flow chart of a method for eliminating false alarms of acetylene in online oil chromatography provided in an embodiment of the present application. Figure 1 As shown, the method includes:

[0065] 101. When an acetylene over-limit alarm is triggered, chromatographic data information of the oil to be analyzed is obtained, where the chromatographic data information of the oil to be analyzed includes the retention time of acetylene and the retention time of all components.

[0066] The execution subject in the embodiment of the present application may be an online oil chromatography acetylene false alarm elimination device, which may be integrated into an oil chromatography monitoring device and implemented using a terminal device in practical applications.

[0067] This application can be mainly used for diagnosis after online oil chromatography acetylene alarm and oil chromatography status evaluation. The core idea includes using the retention time of the chromatographic peak to further determine whether the acetylene excess alarm is a false alarm.

[0068] Among them, the oil chromatography data information of the oil filling equipment can be collected by using the oil chromatography monitoring device, which may include acetylene concentration, acetylene retention time, and retention time of all components, etc. Usually, when the acetylene concentration exceeds the threshold, an acetylene excess alarm is triggered. The oil chromatography data information to be analyzed obtained in the embodiment of the present application is mainly the retention time of acetylene, and when the acetylene excess alarm is triggered, the information can be obtained for calculation.

[0069] 102. Calculate the change in retention time of acetylene based on the above oil chromatography data information.

[0070] The variation of the retention time of acetylene can be determined mainly based on two adjacent retention times, and the specific calculation method can be adjusted as needed. After obtaining the variation of the retention time of acetylene, step 103 can be performed to perform false alarm judgment.

[0071] In an optional implementation, the above step 102 includes:

[0072] Obtaining the first difference between the current acetylene retention time and the previous acetylene retention time;

[0073] The ratio of the first difference to the last acetylene retention time is calculated as the change in the acetylene retention time.

[0074] Specifically, the change between the current retention time and the previous retention time of acetylene can be calculated in the following way:

[0075] Δt R,乙炔=(this retention time of acetylene-last retention time of acetylene) / last retention time of acetylene.

[0076] 103. Determine whether the above-mentioned acetylene excess alarm is a false alarm based on the change in the above-mentioned acetylene retention time.

[0077] In an optional implementation, the above step 103 includes:

[0078] If the change in the retention time of the acetylene is greater than or equal to the change threshold, it is determined that the acetylene over-limit alarm is a false alarm;

[0079] If the change in the retention time of acetylene is less than the change threshold, the method further includes:

[0080] Determine whether the above acetylene excess alarm is a false alarm based on the change in retention time of all components.

[0081] Specifically, a change threshold for judgment can be set as needed and compared with the change. Relatively speaking, if the change in the retention time of acetylene is large, it means that the data is not the value of acetylene, and an error or false alarm occurs when the data oil comprehensive processing unit transmits it to the data center, and it will not be reported; if the change in the retention time of acetylene is small, it can be further judged according to different situations, mainly based on the change in the retention time of all components.

[0082] The change in retention time of all components can be understood as the change in the peak time of all components compared with the last peak time. The change in retention time of all components can be calculated as follows:

[0083] Δt R,总 =(this Σt R,i -Last Σt R,i ) / last Σt R,i

[0084] Among them, Σt R,i It represents the sum of the retention times of all components, that is, the sum of the retention times of each peak on the chromatogram.

[0085] Optionally, determining whether the acetylene excess alarm is a false alarm according to the change in retention time of all components includes:

[0086] 201. If the change in the retention time of all the above components is greater than or equal to the above change threshold, it is determined that the above acetylene excess alarm is a false alarm.

[0087] Optionally, the above method further includes:

[0088] 202. If the change in retention time of all the above components is less than the above change threshold, calculate the total change in hydrogen hydrocarbons excluding acetylene;

[0089] 203. If the change in the total amount of hydrogen hydrocarbons other than acetylene is less than the change threshold, it is determined that the acetylene over-limit alarm is a false alarm;

[0090] 204. If the change in the total amount of hydrogen hydrocarbons other than acetylene is greater than or equal to the change threshold, the acetylene excess alarm is determined to be a normal alarm.

[0091] If the change in retention time of all components is greater than or equal to the change threshold, it can be determined that the acetylene excess alarm is a false alarm and will not be reported.

[0092] If the change in retention time of all components is less than the change threshold, further judgment can be made based on the calculated change in the total amount of hydrogen hydrocarbons except acetylene.

[0093] Optionally, the above calculation of the total amount of hydrogen hydrocarbons other than acetylene includes:

[0094] Obtain the third difference between the sum of the current methane, ethane, ethylene, and hydrogen concentrations and the sum of the previous methane, ethane, ethylene, and hydrogen concentrations;

[0095] The ratio of the third difference to the sum of the last concentrations of methane, ethane, ethylene and hydrogen is calculated to obtain the total amount change of hydrogen hydrocarbons excluding acetylene.

[0096] Specifically, the total amount of hydrogen hydrocarbons except acetylene, ΔC, can be calculated as follows:

[0097] ΔC = (the sum of the concentrations of methane, ethane, ethylene and hydrogen this time - the sum of the concentrations of methane, ethane, ethylene and hydrogen last time) / the sum of the concentrations of methane, ethane, ethylene and hydrogen last time;

[0098] Here, taking the change threshold of 10% as an example, the judgment rule can be as follows:

[0099] If ΔC is less than 10%, the bubble peak is mistakenly identified as the acetylene peak, and the acetylene excess alarm is judged to be a false alarm and will not be reported.

[0100] If ΔC≥10%, the peak is the acetylene peak and is judged to be not a false alarm and can be reported normally.

[0101] In the embodiment of the present application, if the change in the retention time of acetylene is less than the change threshold, it is necessary to continue to judge in three cases, and here the change threshold is 10% as an example:

[0102] 1. If the peak time of all components changes less than 10% compared with the last peak time, and the total amount of hydrogen hydrocarbons except acetylene changes less than 10%, the bubble peak is mistakenly identified as the acetylene peak, which is a false alarm and will not be reported;

[0103] 2. The peak time of all components changes less than 10% compared with the last peak time, and the total amount of hydrogen hydrocarbons except acetylene changes more than 10%. This peak is the acetylene peak, which is not a false alarm and is reported normally (the reason is that the increase of acetylene is inevitably accompanied by the increase of other components);

[0104] 3. If the peak time of all components changes by more than 10% compared with the last peak time, it means that other alkanes are delayed in peak time and just peak at the acetylene position, and are mistakenly identified as acetylene peaks, resulting in false alarm and no reporting.

[0105] Figure 2 A schematic diagram of a chromatogram affected by different false alarm factors provided in the embodiment of the present application. Figure 2 As shown, the change threshold is 10% as an example, where:

[0106] Figure (1) shows that the signal of ethane is mistakenly transmitted as acetylene;

[0107] Figure (2) shows that the acetylene peak position is disturbed, such as the bubble peak;

[0108] Figure (3) shows that all peaks increase;

[0109] Figure (4) shows that the peak time is delayed and ethane is identified as acetylene.

[0110] Figure 2 The vertical axis represents the peak intensity, and the horizontal axis represents the retention time.

[0111] Accordingly, the method in the embodiment of the present application can eliminate such false alarms. Taking the change threshold as 10% as an example, the specific steps may include:

[0112] Calculate the change between the current retention time and the previous retention time of acetylene:

[0113] Δt R,乙炔 = (this acetylene retention time - last acetylene retention time) / last acetylene retention time;

[0114] 1. The peak retention time of acetylene is wrong, Δt R,乙炔 ≥10%, the peak is misidentified and judged as a false alarm and will not be reported;

[0115] 2. The peak retention time of acetylene is correct, Δt R,乙炔 <10%, continue to calculate the change between the peak time of all components and the last peak time:

[0116] Δt R,总 =(this Σt R,i -Last Σt R,i ) / last Σt R,i ;

[0117] 1. If Δt R,总 <10%, continue to calculate the total amount of hydrogen hydrocarbons except acetylene:

[0118] ΔC = (the sum of the concentrations of methane, ethane, ethylene and hydrogen this time - the sum of the concentrations of methane, ethane, ethylene and hydrogen last time) / the sum of the concentrations of methane, ethane, ethylene and hydrogen last time;

[0119] (1) If ΔC is less than 10%, the bubble peak is mistakenly identified as an acetylene peak and is considered a false alarm and will not be reported;

[0120] (2) ΔC ≥ 10%, the peak is the acetylene peak, which is judged to be a non-false positive and is reported normally;

[0121] 2. If Δt R,总 If the value is ≥10%, it means that due to the delay in the elution time of other alkanes, the peaks of other substances just elute at the position of acetylene and are mistakenly identified as acetylene peaks. This is considered a false alarm and will not be reported.

[0122] The method in the embodiment of the present application improves the intelligent application level of transformer oil chromatography online detection technology, reduces the number of false alarms caused by accidental data jumps, and effectively reduces the workload and safety risks of grassroots maintenance personnel.

[0123] In an optional implementation, the above method further includes:

[0124] Use the trained trend prediction model to process the online monitoring data before the alarm and identify the target trend type;

[0125] The above target trend type is used to determine whether the above acetylene excess alarm is a false alarm.

[0126] Specifically, a neural network can be used to train a trend prediction model. The sample data may include online monitoring data corresponding to an acetylene over-limit alarm. Its label may include a trend type, which may indicate a trend in the component chromatogram. Optionally, a long short-term memory multi-scale attention convolutional neural network (LSTM-MACNN) model may be used. This model is used to identify the trend of online monitoring data before the device alarm, and uses the identified trend type to determine whether the device alarm is a false alarm, effectively reducing the false alarm rate of the oil chromatogram online monitoring device.

[0127] Optionally, a transformer oil chromatographic concentration prediction and fault intelligent diagnosis and analysis model can be constructed as needed. Based on big data deep learning and machine learning algorithms, a transformer oil chromatographic concentration prediction and fault intelligent diagnosis and analysis model can be constructed to achieve transformer equipment status evaluation, risk warning, fault analysis, etc.

[0128] Based on the description of the aforementioned method embodiment, the embodiment of the present application further discloses an online oil chromatography acetylene false alarm elimination device.

[0129] Figure 3 A schematic diagram of the structure of an online oil chromatography acetylene false alarm elimination device provided in an embodiment of the present application is shown in FIG. Figure 3 As shown, the online oil chromatography acetylene false alarm elimination device 300 may include:

[0130] The acquisition module 310 is used to acquire the chromatographic data information of the oil to be analyzed when the acetylene over-limit alarm is triggered, wherein the chromatographic data information of the oil to be analyzed includes the retention time of acetylene and the retention time of all components;

[0131] A calculation module 320, used for calculating the change in the retention time of acetylene according to the above oil chromatography data information;

[0132] The determination module 330 is used to determine whether the acetylene excess alarm is a false alarm according to the change in the retention time of the acetylene.

[0133] Optionally, the calculation module 320 is specifically used for:

[0134] Obtaining the first difference between the current acetylene retention time and the previous acetylene retention time;

[0135] The ratio of the first difference to the last acetylene retention time is calculated as the change in the acetylene retention time.

[0136] Optionally, the determination module 330 is specifically configured to:

[0137] If the change in the retention time of the acetylene is greater than or equal to the change threshold, it is determined that the acetylene over-limit alarm is a false alarm;

[0138] If the change in the retention time of acetylene is less than the change threshold, the method further includes:

[0139] Determine whether the above acetylene excess alarm is a false alarm based on the change in retention time of all components.

[0140] Optionally, the determination module 330 is specifically configured to:

[0141] If the variation of the retention time of all the above components is greater than or equal to the above variation threshold, it is determined that the above acetylene excessive alarm is a false alarm.

[0142] Optionally, the determination module 330 is further configured to:

[0143] If the change in retention time of all the above components is less than the above change threshold, the total change in hydrogen hydrocarbons excluding acetylene is calculated;

[0144] If the total amount of hydrogen hydrocarbons other than acetylene changes less than the change amount threshold, it is determined that the acetylene over-limit alarm is a false alarm;

[0145] If the change in the total amount of hydrogen hydrocarbons other than acetylene is greater than or equal to the change threshold, it is determined that the acetylene excess alarm is a normal alarm.

[0146] Optionally, the calculation module 320 is specifically used for:

[0147] Obtain the third difference between the sum of the current methane, ethane, ethylene, and hydrogen concentrations and the sum of the previous methane, ethane, ethylene, and hydrogen concentrations;

[0148] The ratio of the third difference to the sum of the last concentrations of methane, ethane, ethylene and hydrogen is calculated to obtain the total amount change of hydrogen hydrocarbons excluding acetylene.

[0149] Optionally, a prediction module 340 is further included, which is used to:

[0150] Use the trained trend prediction model to process the online monitoring data before the alarm and identify the target trend type;

[0151] The above target trend type is used to determine whether the above acetylene excess alarm is a false alarm.

[0152] It can be understood that the relevant contents of each module in the above device have been described in detail in the aforementioned method embodiment, and the details can be referred to the contents in the method embodiment; that is, the online oil chromatography acetylene false alarm elimination device provided in the present application can be executed as follows: Figure 1 Any steps in the illustrated embodiment will not be described in detail here.

[0153] In one embodiment of the present application, an electronic device is also provided. The electronic device may include a processor and a memory, wherein the memory stores a computer program, and when the computer program is executed by the processor, the execution Figure 1 Any step in the method embodiment shown. The electronic device may also include an input / output device, etc. In a specific implementation, the electronic device may be a terminal device, etc.

[0154] In one embodiment, a computer-readable storage medium is further provided. The computer-readable storage medium stores a computer program. When the computer program is executed by a processor, the processor executes any step in the above method embodiment.

[0155] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0156] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0157] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for eliminating false alarms of acetylene in online oil chromatography, characterized in that: The method comprises: When an acetylene over-limit alarm is triggered, obtaining chromatographic data information of the oil to be analyzed, wherein the chromatographic data information of the oil to be analyzed includes the retention time of acetylene and the retention time of all components; Calculating the change in retention time of acetylene according to the oil chromatography data information; Whether the acetylene excess alarm is a false alarm is determined according to the change in the retention time of the acetylene.

2. The method for eliminating online oil chromatography acetylene false alarm according to claim 1, characterized in that: The step of calculating the change in the retention time of acetylene according to the oil chromatography data information comprises: Obtaining the first difference between the current acetylene retention time and the previous acetylene retention time; The ratio of the first difference to the last retention time of acetylene is calculated as the change in the retention time of acetylene.

3. The method for eliminating online oil chromatography acetylene false alarm according to claim 1, characterized in that: The determining whether the acetylene excess alarm is a false alarm according to the change in the retention time of the acetylene includes: If the change in the retention time of acetylene is greater than or equal to the change threshold, determining that the acetylene excess alarm is a false alarm; If the change in the retention time of acetylene is less than a change threshold, the method further includes: Whether the acetylene excess alarm is a false alarm is determined according to the change in retention time of all components.

4. The method for eliminating online oil chromatography acetylene false alarm according to claim 3, characterized in that: The step of determining whether the acetylene excess alarm is a false alarm according to the change in retention time of all components includes: If the variation of the retention time of all the components is greater than or equal to the variation threshold, it is determined that the acetylene excess alarm is a false alarm.

5. The method for eliminating online oil chromatography acetylene false alarm according to claim 4, characterized in that: The method further comprises: If the change in retention time of all components is less than the change threshold, calculating the total change in hydrogen hydrocarbons excluding acetylene; If the total amount of hydrogen hydrocarbons other than acetylene changes less than the change amount threshold, determining that the acetylene over-limit alarm is a false alarm; If the total amount of hydrogen hydrocarbons other than acetylene changes more than or equal to the change amount threshold, it is determined that the acetylene excess alarm is a normal alarm.

6. The method for eliminating online oil chromatography acetylene false alarm according to claim 5, characterized in that: The calculation of the total amount of hydrogen hydrocarbons other than acetylene includes: Obtain the third difference between the sum of the current methane, ethane, ethylene, and hydrogen concentrations and the sum of the previous methane, ethane, ethylene, and hydrogen concentrations; The ratio of the third difference to the sum of the previous methane, ethane, ethylene and hydrogen concentrations is calculated to obtain the total amount change of hydrogen hydrocarbons excluding acetylene.

7. The method for eliminating online oil chromatography acetylene false alarm according to claim 1, characterized in that: The method further comprises: Use the trained trend prediction model to process the online monitoring data before the alarm and identify the target trend type; The target trend type is used to determine whether the acetylene excess alarm is a false alarm.

8. An online oil chromatography acetylene false alarm elimination device, characterized in that: include: An acquisition module, used for acquiring chromatographic data information of the oil to be analyzed when an acetylene over-limit alarm is triggered, wherein the chromatographic data information of the oil to be analyzed includes the retention time of acetylene and the retention time of all components; A calculation module, used for calculating the change in retention time of acetylene according to the oil chromatography data information; A determination module is used to determine whether the acetylene excess alarm is a false alarm according to the change in the retention time of the acetylene.

9. An electronic device, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the processor is caused to perform the steps of the method according to any one of claims 1 to 7.