Method and device for evaluating and optimizing alarm data of SCADA (supervisory control and data acquisition) system of gas storage

Abstract

The invention provides a gas storage SCADA (supervisory control and data acquisition) system alarm data evaluation optimization method and device, and the method comprises the steps: S1, randomly selecting an alarm point in a preset range, and obtaining the accident information of the selected alarm point, including the alarm loop number grade, the accident frequency grade and the alarm non-processing accident consequence grade; s2, forming an alarm accident occurrence possibility according to the alarm classification level and the alarm loop number level; s3, forming an accident generation consequence according to the alarm triggering turn-off level and the alarm non-handling accident consequence level; and S4, forming an alarm accident risk value according to the alarm accident occurrence possibility, the accident generation consequence and the accident frequency grade, and generating the alarm grade of the alarm point according to the risk grade division table. According to the method, accident consequences, accident occurrence possibility and accident occurrence frequency are introduced in the alarm data level evaluation and optimization process, and the influence of alarm classification and alarm turn-off level is considered, so that the accuracy and objectivity of evaluation are improved.

Description

Technical Field

[0001] The invention belongs to the field of oil and gas field surface engineering, relates to a SCADA system alarm technology, and specifically is a gas storage SCADA system alarm data evaluation optimization method and device. Background Art

[0002] SCADA system is a data acquisition and monitoring system, which is widely used in data acquisition and monitoring in the fields of petroleum, chemical industry, electric power, metallurgy, gas, etc. The gas storage SCADA system is mainly used for data acquisition and monitoring during the operation of multiple gas storages, and centrally monitors, stores and processes the production data of the gas storage group. The gas storage industry has the characteristics of high pressure in the production process, frequent changes in working conditions, flammable production media, and serious consequences of accidents. With the construction of informatization, the alarm system is a very critical protection layer for safe production. Through alarms, abnormal conditions in the production process can be discovered in time. However, due to the lack of strict alarm management and rational optimization measures, effective alarms are submerged in a large number of invalid or repeated alarms, and the flood of alarms has become a serious problem threatening the safe production of gas storages. Carrying out alarm data level assessment according to the size of the accident risk is an important task of alarm management. After the alarm information is generated, the dispatcher cannot analyze some of the causes of the fault, which makes it easy for the dispatcher to ignore serious alarm information and cause confusion in the management of alarm parameters. Currently, the assessment of alarm levels is based on international standards such as IEC62682 and EEMUA191, and other standards and practices. The alarm level matrix is ​​divided into "low, medium, high or higher", and the alarm levels are divided into "Level I alarm, Level II alarm and Level III alarm".

[0003] However, there are the following deficiencies in practical applications:

[0004] 1) The alarm level assessment does not take into account the accident consequences, the possibility of accidents and the frequency of accidents as the risk assessment of alarm data;

[0005] 2) The evaluation and optimization of alarm data levels are not considered in combination with alarm classification and alarm shutdown levels;

[0006] Therefore, how to solve the defects in alarm data evaluation and provide an alarm data evaluation and optimization method for the gas storage SCADA system is an issue that is urgently needed to be addressed. Summary of the invention

[0007] In order to overcome the deficiencies in the prior art, the present invention provides a method and device for evaluating and optimizing alarm data of a gas storage SCADA system, which comprehensively considers the consequences of accidents, the possibility of accidents and the frequency of accidents to perform risk assessment of alarm data, and combines it with alarm classification and alarm shutdown level to realize the gas storage alarm data evaluation and optimization function.

[0008] The technical solution adopted by the present invention to solve the technical problem is:

[0009] On the one hand, the present application provides a method for optimizing alarm data evaluation of a gas storage SCADA system, the steps comprising:

[0010] S1: Select an alarm point within a predetermined range and obtain accident information of the selected alarm point, wherein the accident information includes the number level of alarm circuits, the accident frequency level and the consequence level of the accident not handled by the alarm;

[0011] S2: Based on the alarm classification level and the number level of alarm circuits obtained, the possibility of alarm accidents is formed;

[0012] S3: according to the alarm trigger shutdown level and the obtained alarm non-processing accident consequence level, the accident consequences are formed;

[0013] S4: Based on the possibility of the alarm accident, the consequences of the accident, and the acquired accident frequency level, an alarm accident risk value is formed, and the alarm level of the alarm point is generated according to the risk level classification table.

[0014] Based on the alarm classification level and the obtained alarm loop quantity level, the possibility of alarm accidents is formed, taking into account the nature and quantity of alarms, which helps to more accurately predict the possibility of accidents. Based on the alarm trigger shutdown level and the obtained alarm non-processing accident consequence level, the accident consequences are formed, taking into account the severity and possible impact of the accident, providing a more comprehensive perspective for the assessment. Based on the formed alarm accident possibility, accident consequences, and the obtained accident frequency level, the alarm accident risk value is formed, taking into account all these factors, providing a more accurate risk assessment for each alarm point. Based on the risk level classification table, the alarm level of the alarm point is generated, making the classification of alarm levels more standardized and objective, which helps to make better decisions and take corresponding measures.

[0015] Furthermore, the alarm classification in step S2 includes:

[0016] Field equipment alarm: an alarm caused by abnormal state of the field equipment itself;

[0017] Automatic control logic alarm: triggering the alarm of interlocking logic operation or the alarm of logic operation failure;

[0018] Limit value alarm: analog value setting alarm triggered by non-interlocking logic;

[0019] Communication alarm: communication data interruption alarm.

[0020] Furthermore, the possibility of the alarm accident occurring in step S2 is defined as L value, where L=alarm classification level N×alarm loop quantity level M.

[0021] Furthermore, the alarm-triggered shutdown level in step S3 includes a pressure relief shutdown level, a station-wide shutdown level, a unit shutdown level, an equipment shutdown level, and a warning non-shutdown level.

[0022] Furthermore, the consequence of the accident in step S3 is defined as a C value, where C=the alarm-unhandled accident consequence level G×the alarm-triggered shutdown level S.

[0023] Furthermore, the causes of accidents based on which the accident frequency levels are divided in steps S1 and S4 include:

[0024] In reality, it is not expected to happen;

[0025] It is not expected to happen, but special circumstances may occur;

[0026] It is unlikely to occur in a single device, but it is possible that it may occur in one of multiple similar devices;

[0027] It occurs at least once in a single cycle of the injection and production cycle;

[0028] It often occurs during the injection and production cycle.

[0029] Furthermore, the alarm accident risk value in step S4 is defined as a D value, where D=accident probability L×accident frequency level E×accident consequence C.

[0030] On the other hand, the present application provides a gas storage SCADA system alarm data evaluation and optimization device, the device comprising:

[0031] An information acquisition unit, used to acquire accident information of an alarm point selected within a predetermined range, including the alarm circuit quantity level, accident frequency level and the accident consequence level of the alarm not being handled;

[0032] An alarm accident occurrence possibility analysis unit is used to form an alarm accident occurrence possibility according to the alarm classification level and the alarm circuit quantity level;

[0033] An accident consequence analysis unit is used to form an accident consequence level according to the alarm trigger shutdown level and the alarm non-processing accident consequence level;

[0034] The alarm level generating unit is used to generate the alarm level of the alarm point according to the possibility of the alarm accident, the consequences of the accident, the accident frequency level and the risk level classification table.

[0035] The beneficial effects of the present invention include:

[0036] This method can comprehensively evaluate the alarm data of the gas storage SCADA system and provide more accurate evaluation results by comprehensively considering factors such as alarm classification, number of alarm loops, alarm trigger shutdown level, alarm non-processing accident consequence level and accident frequency level. By forming a comprehensive evaluation of the possibility of alarm accidents, accident consequences and accident frequency level, the risk value of alarm accidents can be obtained, which helps to determine the risk level of alarm points, so as to better manage and control the alarm risk of the gas storage SCADA system. This method provides a variety of alarm classifications, including field equipment alarms, automatic control logic alarms, limit alarms and communication alarms. Classified alarms can reduce the processing time of alarm information. At the same time, by defining the alarm trigger shutdown level and the alarm non-processing accident consequence level, the alarm data evaluation optimization method of the gas storage SCADA system can be made more targeted and practical, and the management process and maintenance costs can be optimized.

[0037] By generating alarm levels, this method provides a clear classification of alarm points in the gas storage SCADA system, which helps operation and maintenance personnel better understand and handle alarm information and improve the operability and safety of the system. This method comprehensively considers multiple factors such as alarm classification, number of alarm loops, alarm trigger shutdown level, alarm non-handling accident consequence level and accident frequency level, and can more comprehensively evaluate alarm data, which helps to improve the safety and reliability of the gas storage SCADA system and reduce accident risks.

[0038] In summary, the present invention introduces the consequences of accidents, the possibility of accidents and the frequency of accidents in the process of alarm data level evaluation and optimization, and takes into account the influence of alarm classification and alarm shutdown level, thereby improving the accuracy and objectivity of the evaluation. It has practical guiding significance for alarm management in the gas storage industry and is more in line with the current situation of gas storage. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 It is a flow chart of the optimization method for evaluating alarm data of the SCADA system of a gas storage facility;

[0040] Figure 2 It is a structural block diagram of the alarm data evaluation and optimization device of the gas storage SCADA system. DETAILED DESCRIPTION

[0041] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0042] In addition, the technical features involved in the different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0043] The present invention is based on the risk level LECD assessment method, combined with the gas storage alarm classification and alarm shutdown level, to form an alarm assessment and optimization method for accurately assessing the alarm data level of the gas storage, and the steps include:

[0044] Select any alarm point within the predetermined range and obtain the accident information of the alarm point, including the number of alarm circuits, the frequency of accidents and the consequences of accidents caused by unprocessed alarms.

[0045] According to the characteristics of the gas storage and combined with the alarm attributes, the alarm data is optimized and the alarms are classified into four categories, including field equipment alarms, automatic control logic alarms, limit alarms and communication alarms.

[0046] The gas storage alarm shutdown level is divided into five levels in combination with the gas storage process, including pressure relief shutdown level, whole station shutdown level, unit shutdown level, equipment shutdown level, and early warning non-shutdown level.

[0047] Classify alarms based on the information collected by the SCADA system alarm data, and then combine the number of alarm data loops to form the possibility of alarm accidents;

[0048] The consequences of the accident are formed based on the comprehensive analysis of the accident consequence level if the alarm is not handled and the shutdown level triggered by the alarm;

[0049] According to the possibility of alarm accidents, the frequency of accidents and the consequences of accidents, the alarm accident risk value of the alarm point is generated, and the alarm level of the alarm point is determined according to the risk level classification.

[0050] The present invention also provides an implementation process of a gas storage SCADA system alarm data evaluation and optimization method, including:

[0051] In the information acquisition stage, select an alarm point within the predetermined range and obtain the accident information of the alarm point, including alarm classification, number of alarm circuits, frequency of accidents and consequences of accidents not handled by alarms;

[0052] In the accident possibility analysis stage, the possibility of alarm accidents is formed based on the alarm classification and the number of alarm circuits;

[0053] In the accident consequence analysis phase, the accident consequence level is formed based on the accident consequence of not handling the alarm and the shutdown level triggered by the alarm;

[0054] During the alarm level generation stage, the alarm level of the alarm point is generated based on the alarm accident possibility level, accident frequency level, accident consequence level and risk level classification table.

[0055] Example 1

[0056] In order to better understand the present invention, a more detailed embodiment is listed below.

[0057] Step 1: Select an alarm point within a predetermined range and obtain the accident information of the alarm point. The accident information includes the number of alarm circuits, the frequency of accidents, and the consequence level of the accident if the alarm is not handled;

[0058] The alarm circuit levels are shown in Table 1 below:

[0059]

[0060] The accident frequency levels are shown in Table 2 below:

[0061]

[0062] The consequence levels of the accident if the alarm is not handled are shown in Table 3 below:

[0063]

[0064] Step 2: Form the probability L value of alarm accident occurrence, L = alarm classification level N × alarm circuit quantity level M;

[0065] The alarm classification levels are shown in Table 4 below:

[0066]

[0067]

[0068] Step 3: Form the accident consequence C value, C = alarm unprocessed accident consequence level G × alarm trigger shutdown level S;

[0069] The alarm trigger shutdown levels are shown in Table 5 below:

[0070] Alarm trigger shutdown level S value Shutdown Level Description S1＝10 Pressure relief shutoff stage S2＝5 Full station shutdown S3＝2 Unit shutdown level S4＝1 Device shutdown level S5＝0.5 Warning non-shutdown level

[0071] Step 4: Generate an alarm accident risk value D, where D = accident probability L × accident frequency level E × accident consequence C. Generate an alarm level for the alarm point based on the risk level classification table.

[0072] The risk level classification table is shown in Table 6 below:

[0073] Alarm accident risk value D Risk Level Alarm level >75000 Level 1 risk Ⅳ 7501～75000 Level 2 Risk Ⅲ 1350～7500 Level 3 risk Ⅱ <1349 Level 4 risk Ⅰ

[0074] In the process of alarm data level evaluation and optimization, the present invention introduces the consequences of accidents, the possibility of accidents and the frequency of accidents, and considers the influence of alarm classification and alarm shutdown level, thereby improving the accuracy and objectivity of the evaluation. It has practical guiding significance for alarm management in the gas storage industry and is more in line with the current situation of gas storage.

[0075] Obviously, the above embodiments are merely examples for the purpose of clear explanation, and are not intended to limit the implementation methods. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived therefrom are still within the scope of protection of the invention.

Claims

1. A method for evaluating and optimizing alarm data of a gas storage SCADA system. Its characteristic steps include: S1: Select an alarm point within a predetermined range and obtain accident information of the selected alarm point, wherein the accident information includes the alarm circuit quantity level, accident frequency level and the accident consequence level of not handling the alarm; S2: Based on the alarm classification level and the number level of alarm circuits obtained, the possibility of alarm accidents is formed; S3: according to the alarm trigger shutdown level and the obtained alarm non-processing accident consequence level, the accident consequences are formed; S4: Based on the possibility of the alarm accident, the consequences of the accident, and the acquired accident frequency level, an alarm accident risk value is formed, and the alarm level of the alarm point is generated according to the risk level classification table.

2. A gas storage SCADA system alarm data evaluation and optimization method according to claim 1, It is characterized in that The alarm classification in step S2 includes: Field equipment alarm: an alarm caused by abnormal state of the field equipment itself; Automatic control logic alarm: triggering the alarm of interlocking logic operation or the alarm of logic operation failure; Limit value alarm: analog value setting alarm triggered by non-interlocking logic; Communication alarm: communication data interruption alarm.

3. A gas storage SCADA system alarm data evaluation and optimization method according to claim 2, It is characterized in that The possibility of the alarm accident occurring in step S2 is defined as L value, where L=alarm classification level N×alarm circuit quantity level M.

4. A method for evaluating and optimizing alarm data of a gas storage SCADA system according to claim 1 or 3, It is characterized in that The alarm-triggered shutdown levels in step S3 include pressure relief shutdown level, whole-station shutdown level, unit shutdown level, equipment shutdown level, and early warning non-shutdown level.

5. A gas storage SCADA system alarm data evaluation and optimization method according to claim 4, It is characterized in that The accident consequence in step S3 is defined as a C value, where C=alarm-unhandled accident consequence level G×alarm-triggering shutdown level S.

6. A method for evaluating and optimizing alarm data of a gas storage SCADA system according to claim 1 or 5, It is characterized in that The accident causes according to which the accident frequency levels are divided in steps S1 and S4 include: In reality, it is not expected to happen; It is not expected to happen, but special circumstances may occur; It is unlikely to occur in a single device, but it is possible that it may occur in one of multiple similar devices; It occurs at least once in a single cycle of the injection and production cycle; It often occurs during the injection and production cycle.

7. A method for evaluating and optimizing alarm data of a gas storage SCADA system according to claim 6, It is characterized in that The alarm accident risk value in step S4 is defined as D value, where D=accident probability L×accident frequency level E×accident consequence C.

8. A gas storage SCADA system alarm data evaluation and optimization device, It is characterized in that The device comprises: An information acquisition unit, used to acquire accident information of an alarm point selected within a predetermined range, including the alarm circuit quantity level, the accident frequency level and the accident consequence level of the alarm not being handled; An alarm accident occurrence possibility analysis unit is used to form an alarm accident occurrence possibility according to the alarm classification level and the alarm circuit quantity level; An accident consequence analysis unit is used to form an accident consequence level according to the alarm trigger shutdown level and the alarm non-processing accident consequence level; The alarm level generating unit is used to generate the alarm level of the alarm point according to the possibility of the alarm accident, the consequences of the accident, the accident frequency level and the risk level classification table.

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