System reliability calculation method, system and electronic equipment of atmospheric and vacuum distillation unit, and storage medium

By dividing the equipment of the refining and chemical plant into modular units and applying judgment coefficients and equipment compensation coefficients, the inaccuracy problem in the reliability calculation of the refining and chemical plant system is solved, and a more accurate system reliability assessment is achieved.

CN116266241BActive Publication Date: 2026-07-03CHINA PETROLEUM & CHEMICAL CORP +1

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHINA PETROLEUM & CHEMICAL CORP
Filing Date
2021-12-17
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

The lack of clear standards for defining individual equipment in the reliability calculation of refining and chemical plant systems leads to inaccurate calculation results and fails to effectively consider the actual operating conditions of the plant and its safety and environmental impacts.

Method used

The equipment in the refining and chemical plant is divided into modular units, and the connection method of the modular units in the system reliability block diagram is determined according to the decision coefficient. The reliability is then corrected by combining the equipment compensation coefficient, and the system reliability is calculated.

Benefits of technology

It improves the accuracy and efficiency of reliability calculations for refining and chemical equipment systems, making them more closely aligned with actual conditions and reducing calculation deviations.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses a kind of atmospheric and vacuum distillation unit system reliability calculation method, it includes the following steps: establishing the equipment set involved in all process flows;The equipment set involved in all process flows established is divided into a module unit according to certain connection mode according to the same function of the equipment in the same process flow node;According to the determination coefficient, determine the connection mode of each module unit in the system reliability block diagram;Obtain the reliability of each module unit;And according to the reliability of each module unit and the connection mode of each module unit in the system reliability block diagram, calculate system reliability.The application further discloses an atmospheric and vacuum distillation unit system reliability calculation system, electronic equipment and storage medium.The application divides module unit, determines the connection relationship of module unit in the system reliability block diagram according to the determination coefficient, on the one hand, ensures the accuracy and comprehensiveness of calculation, on the other hand, improves the calculation efficiency.
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Description

Technical Field

[0001] This invention relates to the field of reliability evaluation technology for refining and chemical enterprise equipment systems, and particularly to a method, system, electronic equipment, and storage medium for calculating the reliability of an atmospheric and vacuum distillation unit system. Background Technology

[0002] The trend towards larger-scale refining and chemical production facilities is evident. While the long-term operation of petrochemical plants has brought significant benefits, it has also increased operational risks. Currently, at the end of their operating cycles, refining and chemical plants experience decreased equipment reliability and frequent failures, leading to a significant increase in unplanned shutdowns. Given the numerous vulnerable components and complex operating conditions of these systems, accurately and comprehensively calculating system reliability and assessing their continuous operating life is a crucial engineering problem that urgently needs to be solved.

[0003] Currently, system reliability calculations typically involve three main steps: first, solving for the reliability of the smallest unit; second, constructing reliability block diagrams (RBDs) between units; and third, calculating system reliability based on the series and parallel relationship models of the RBDs. However, the reliability calculation of refining and chemical plant systems depends not only on the reliability of individual equipment and the connection relationships between equipment, but also on the actual operating conditions of the plant. In existing technologies, the reliability calculation of plant systems faces the following problems:

[0004] First, there is a lack of clear criteria for determining whether to select a single device as the smallest unit for evaluating the reliability of a computing device system. If all devices within the system are considered within the scope of the reliability calculation, the reliability calculation results for systems primarily connected in series will be significantly reduced. Conversely, if the impact of a single device failure that does not affect the normal operation of the system is not considered, the system reliability calculation results will be significantly exaggerated. Both of these factors will introduce substantial errors into the system reliability calculation results.

[0005] Secondly, refining and chemical enterprises are characterized by continuous production processes. Within permissible timeframes, the fluctuations caused by emergency repairs to some equipment are within normal limits and will not result in unplanned shutdowns. On the other hand, refining and chemical production often involves flammable, explosive, and toxic safety risks, facing increasingly severe safety and environmental pressures. Even when equipment failure does not affect normal plant operation but poses a serious threat to personnel injury or environmental pollution, shutdown for maintenance may still be necessary. These factors require appropriate adjustments when calculating the impact of equipment failures on system reliability.

[0006] The information disclosed in this background section is intended only to enhance the understanding of the overall background of the invention and should not be construed as an admission or in any way implying that the information constitutes prior art known to those skilled in the art. Summary of the Invention

[0007] One of the objectives of this invention is to provide a method, system, electronic device, and storage medium for calculating the reliability of an atmospheric and vacuum distillation unit system, thereby improving the problems in the reliability calculation process of refining and chemical unit systems, such as the lack of clear definition standards for individual equipment as the smallest unit for calculating the reliability of the system, the calculation of system reliability only considering mathematical logical relationships, and the inaccurate calculation results.

[0008] To achieve the above objectives, according to a first aspect of the present invention, the present invention provides a method for calculating the reliability of an atmospheric and vacuum distillation apparatus system, comprising the following steps: establishing a set of equipment involved in all process flows; dividing the equipment involved in all process flows into a module unit by means of equipment that performs the same function at the same process flow node according to a certain connection method; determining the connection method of each module unit in the system reliability block diagram according to a decision coefficient; obtaining the reliability of each module unit; and calculating the system reliability based on the reliability of each module unit and the connection method of each module unit in the system reliability block diagram.

[0009] Furthermore, in the above technical solutions, the same process flow node is located in the same functional position in the process; the same function is separation, pressurization, heat exchange, cooling, heating, or storage and transportation. Certain connection methods include series connection, parallel connection, bypass, or voting.

[0010] Furthermore, in the above technical solution, the judgment coefficient is a comprehensive impact assessment indicator based on the production characteristics of the refining and chemical unit, analyzing the impact of module unit failure on the four major balances of downstream production, safety impact, environmental protection requirements, and economic losses. The four major balances are material balance, heat balance, hydrogen balance, and gas balance.

[0011] Furthermore, in the above technical solution, the determination coefficient is:

[0012] ,

[0013] , ,in, This refers to the maximum impact on the downstream production material balance during a module unit failure. This refers to the degree of material fluctuation that can be tolerated if downstream production is stabilized and the system does not stop. The greater the impact, the larger the value.

[0014] This refers to the maximum impact of a module unit failure on the heat balance of downstream production. This refers to the degree of heat fluctuation that the system can tolerate without stopping downstream production; the greater the impact, the larger the value.

[0015] This refers to the maximum impact on the downstream hydrogen production balance during a module unit failure. This refers to the degree of hydrogen fluctuation that can be tolerated without stopping downstream production; the greater the impact, the larger the value.

[0016] This refers to the maximum impact on the downstream production gas balance during a module unit failure. This refers to the degree of gas fluctuation that can be tolerated without stopping downstream production; the greater the impact, the larger the value.

[0017] This refers to the most severe level of personal injury that may result during a module unit failure. This refers to the acceptable level of personal injury caused during a module unit failure; the higher the severity, the larger the value.

[0018] This refers to the most severe level of environmental pollution that may result from leakage during a module unit failure. This refers to the acceptable level of environmental pollution caused during a module unit failure; the greater the severity, the higher the value.

[0019] This refers to the maximum economic loss that may occur during a module unit failure. This refers to the acceptable level of economic loss caused during a module unit failure; the greater the loss, the larger the value.

[0020] These refer to the coefficients for material balance, heat balance, hydrogen balance, and gas balance, respectively.

[0021] These refer to safety impact, environmental protection requirements, and product quality index coefficients, respectively.

[0022] Furthermore, in the above technical solution, the connection method of each module unit in the system reliability block diagram is as follows:

[0023] The modular units are connected in series to the system reliability block diagram;

[0024] The modular units are combined in pairs to form parallel structural units, and the determination coefficient of each parallel structural unit is calculated. Decision coefficient Parallel structural units are connected in series in the system reliability block diagram. If there is more than one parallel structural unit among the multiple parallel structural units composed of the same module units, the determination coefficient is... Then, randomly select one of the parallel structural units and connect it to the system reliability block diagram in series; for the remaining module units, combine them in different numbers to form parallel structural units, and repeat the above steps; module units whose determination coefficient is still less than 1 after combining them into parallel structural units with a set number of module units are not included in the system reliability block diagram.

[0025] Furthermore, in the above technical solutions, the quantity is set to 3 to 5.

[0026] Furthermore, in the above technical solution, the steps for obtaining the reliability of each module unit include: calculating the equipment compensation coefficient based on the fault repair time, fault detection rate, inspection and maintenance frequency, and the age of the equipment; and using the equipment compensation coefficient to correct the original reliability of the module unit to obtain the reliability of the module unit.

[0027] Furthermore, in the above technical solution, the reliability of the module unit is:

[0028] ,

[0029] In the formula, This refers to the equipment compensation coefficient. n The number of devices in the module unit; For module units n Minimum equipment compensation coefficient for each device; This represents the initial reliability of the module unit.

[0030] Furthermore, in the above technical solution, the equipment compensation coefficient is:

[0031] ,

[0032] , In the formula, This refers to the correction factor for the age of the equipment; the newer the equipment, the larger the value.

[0033] This refers to the equipment inspection frequency correction factor; the higher the inspection frequency, the larger the value.

[0034] This refers to the equipment failure repair time correction factor; the shorter the repair time of the faulty equipment, the larger the value.

[0035] This refers to the equipment failure detection rate correction factor; the higher the equipment failure detection rate, the larger the value.

[0036] This refers to the weighting coefficients of the four correction factors mentioned above.

[0037] Furthermore, in the above technical solution, the steps for calculating system reliability include:

[0038] The reliability of parallel structural units connected in series in a computational system reliability block diagram:

[0039] ;

[0040] The reliability of module units connected in series in the reliability block diagram of a computing system:

[0041] ;as well as

[0042] Computer system reliability:

[0043] ,

[0044] In the formula, I is the set of module units connected in series; J is the set of parallel structural units connected in series; and Q is the set of module units in the parallel structural units.

[0045] According to a second aspect of the present invention, the present invention provides a reliability calculation system for an atmospheric and vacuum distillation apparatus system, comprising: an acquisition unit, configured to acquire all equipment sets involved in the process flow, and to group all equipment involved in the established process flow into a module unit based on the equipment performing the same function at the same process flow node according to a certain connection method; a determination unit, configured to determine the connection method of each module unit in the system reliability block diagram according to a determination coefficient; and a calculation unit, configured to obtain the reliability of each module unit, and to calculate the system reliability based on the reliability of each module unit and the connection method of each module unit in the system reliability block diagram.

[0046] Furthermore, in the above technical solution, the determination coefficient is:

[0047] ,

[0048] , ,in, This refers to the maximum impact on the downstream production material balance during a module unit failure. This refers to the degree of material fluctuation that can be tolerated if downstream production is stabilized and the system does not stop. The greater the impact, the larger the value.

[0049] This refers to the maximum impact of a module unit failure on the heat balance of downstream production. This refers to the degree of heat fluctuation that the system can tolerate without stopping downstream production; the greater the impact, the larger the value.

[0050] This refers to the maximum impact on the downstream hydrogen production balance during a module unit failure. This refers to the degree of hydrogen fluctuation that can be tolerated without stopping downstream production; the greater the impact, the larger the value.

[0051] This refers to the maximum impact on the downstream production gas balance during a module unit failure. This refers to the degree of gas fluctuation that can be tolerated without stopping downstream production; the greater the impact, the larger the value.

[0052] This refers to the most severe level of personal injury that may result during a module unit failure. This refers to the acceptable level of personal injury caused during a module unit failure; the higher the severity, the larger the value.

[0053] This refers to the most severe level of environmental pollution that may result from leakage during a module unit failure. This refers to the acceptable level of environmental pollution caused during a module unit failure; the greater the severity, the higher the value.

[0054] This refers to the maximum economic loss that may occur during a module unit failure. This refers to the acceptable level of economic loss caused during a module unit failure; the greater the loss, the larger the value.

[0055] These refer to the coefficients for material balance, heat balance, hydrogen balance, and gas balance, respectively.

[0056] These refer to safety impact, environmental protection requirements, and product quality index coefficients, respectively.

[0057] Furthermore, in the above technical solution, the connection method of each module unit in the system reliability block diagram is as follows:

[0058] The modular units are connected in series to the system reliability block diagram;

[0059] The modular units are combined in pairs to form parallel structural units, and the determination coefficient of each parallel structural unit is calculated. Decision coefficient Parallel structural units are connected in series in the system reliability block diagram. If there is more than one parallel structural unit among the multiple parallel structural units composed of the same module units, the determination coefficient is... Then, randomly select one of the parallel structural units and connect it to the system reliability block diagram in series; for the remaining module units, combine them in different numbers to form parallel structural units, and repeat the above steps; module units whose determination coefficient is still less than 1 after combining them into parallel structural units with a set number of module units are not included in the system reliability block diagram.

[0060] Furthermore, in the above technical solution, the calculation unit includes: an original reliability subunit, which is used to calculate the original reliability of each module unit; a compensation coefficient subunit, which is used to calculate the compensation coefficient based on the fault repair time, fault detection rate, inspection and maintenance frequency, and the age of the equipment; a reliability subunit, which is used to correct the original reliability of the module unit using the compensation coefficient to obtain the reliability of the module unit; and a system reliability subunit, which is used to calculate the system reliability.

[0061] According to a third aspect of the present invention, an electronic device is provided, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to cause the at least one processor to perform a method for calculating the reliability of an atmospheric and vacuum distillation apparatus system as described in any of the above-described technical solutions.

[0062] According to a fourth aspect of the present invention, the present invention provides a non-transitory computer-readable storage medium storing computer-executable instructions for causing a computer to perform a reliability calculation method for an atmospheric and vacuum distillation apparatus system as described in any of the above-described technical solutions.

[0063] Compared with the prior art, the present invention has the following beneficial effects:

[0064] 1. The atmospheric and vacuum distillation apparatus system reliability calculation method of the present invention divides the system into modular units and determines the connection relationship of the modular units in the system reliability block diagram according to the decision coefficient. On the one hand, it ensures the accuracy and comprehensiveness of the calculation, and on the other hand, it improves the calculation efficiency.

[0065] 2. Equipment reliability calculated based on historical fault time intervals or condition monitoring often represents the lower limit of system reliability. This calculation significantly reduces system reliability, causing a large deviation between the calculated results and actual conditions. This invention introduces an equipment compensation coefficient to correct for the reliability of module units by physical factors, considering factors such as fault repair time, fault detection rate, inspection and maintenance frequency, and the age of the equipment. The calculated results are more closely aligned with reality and are more accurate.

[0066] The above description is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it according to the contents of the specification, and to make the above and other objects, technical features and advantages of the present invention easier to understand, one or more preferred embodiments are listed below and described in detail with reference to the accompanying drawings. Attached Figure Description

[0067] Figure 1 This is a flowchart of a method for calculating the reliability of an atmospheric and vacuum distillation apparatus system according to an embodiment of the present invention.

[0068] Figure 2 This is a block diagram of a top-return air cooler module according to an embodiment of the present invention.

[0069] Figure 3 This is a block diagram of a constant-line heat exchange module according to an embodiment of the present invention.

[0070] Figure 4 This is a block diagram of the primary top reflux and product pump module unit according to an embodiment of the present invention.

[0071] Figure 5 This is a module unit block diagram of a reliability block diagram for a series access system according to an embodiment of the present invention.

[0072] Figure 6 This is a block diagram of structural units according to an embodiment of the present invention.

[0073] Figure 7 This is a structural block diagram of a reliability calculation system for an atmospheric and vacuum distillation apparatus according to an embodiment of the present invention.

[0074] Figure 8 This is a schematic diagram of the hardware structure of an electronic device for performing a reliability calculation method for an atmospheric and vacuum distillation apparatus system according to an embodiment of the present invention. Detailed Implementation

[0075] The specific embodiments of the present invention will now be described in detail with reference to the accompanying drawings, but it should be understood that the scope of protection of the present invention is not limited to the specific embodiments.

[0076] Unless otherwise expressly stated, throughout the specification and claims, the term "comprising" or its variations such as "including" or "comprises" shall be understood to include the stated elements or components without excluding other elements or other components.

[0077] In this document, for ease of description, spatial relative terms such as “below,” “under,” “down,” “above,” “above,” “upper,” etc., are used to describe the relationship of one element or feature to another element or feature in the accompanying drawings. It should be understood that spatial relative terms are intended to encompass different orientations of an object in use or operation, in addition to those depicted in the figures. For example, if an object in the figure is flipped, an element described as “below” or “under” other elements or features will be oriented “above” the element or feature. Thus, the exemplary term “below” can encompass both the downward and upward orientations. Objects may also have other orientations (rotated 90 degrees or other orientations), and the spatial relative terms used herein should be interpreted accordingly.

[0078] In this document, the terms "first," "second," etc., are used to distinguish two different elements or parts, and are not used to define specific positions or relative relationships. In other words, in some embodiments, the terms "first," "second," etc., can also be used interchangeably.

[0079] like Figure 1 As shown, the flowchart of the reliability calculation method for the atmospheric and vacuum distillation apparatus system according to a specific embodiment of the present invention is as follows:

[0080] S110 establishes a set of equipment involved in all process flows.

[0081] This equipment set includes all the equipment involved in the process flow of the atmospheric and vacuum distillation unit to be calculated.

[0082] S120 divides all the equipment involved in the established process flow into a module unit according to a certain connection method. The equipment that performs the same function on the same process flow node is concentrated in the same process flow node.

[0083] The same process flow node refers to a node that occupies the same functional position in the process, but is not limited to the same geographical conditions in the actual layout of the unit. The same function refers to providing separation, pressurization, heat exchange, cooling (divided into water cooling and air cooling), heating, storage, and transportation functions in the refining and chemical unit. A specific connection method is required, such as series, parallel, bypass, or voting.

[0084] S130 determines the connection method of each module unit in the system reliability block diagram based on the decision coefficient.

[0085] The judgment coefficient is a comprehensive indicator for judging the impact of module unit failure on the four major balances of downstream production, safety impact, environmental protection requirements and economic losses (including product quality) based on the production characteristics of refining and chemical units. The four major balances are material balance, heat balance, hydrogen balance and gas balance.

[0086] The determination coefficient can be expressed as:

[0087] ,

[0088] , ,in, This refers to the maximum impact on the downstream production material balance during a module unit failure. This refers to the degree of material fluctuation that can be tolerated to stabilize downstream production without stopping the system. The value ranges from 1 to 10, with larger values ​​indicating greater impact.

[0089] This refers to the maximum impact of a module unit failure on the heat balance of downstream production. This refers to the degree of heat fluctuation that the system can tolerate without stopping downstream production. The value ranges from 1 to 10, with larger values ​​indicating greater impact.

[0090] This refers to the maximum impact on the downstream hydrogen production balance during a module unit failure. This refers to the degree of hydrogen fluctuation that can be tolerated without stopping downstream production. The value ranges from 1 to 10, with larger values ​​indicating greater impact.

[0091] This refers to the maximum impact on the downstream production gas balance during a module unit failure. This refers to the degree of gas fluctuation that can be tolerated to stabilize downstream production without shutting down the system. The value ranges from 1 to 10, with larger values ​​indicating greater impact.

[0092] This refers to the most severe level of personal injury that may result during a module unit failure. This refers to the acceptable level of personal injury caused during a module unit failure, with a value ranging from 1 to 10. The higher the severity, the larger the value.

[0093] This refers to the most severe level of environmental pollution that may result from leakage during a module unit failure. This refers to the acceptable level of environmental pollution caused during a module unit failure, with a value ranging from 1 to 10. The higher the severity, the larger the value.

[0094] This refers to the maximum economic loss that may occur during a module unit failure. This refers to the acceptable level of economic loss caused during a module unit failure, with a value ranging from 1 to 10. The greater the degree of loss, the higher the value.

[0095] These refer to the coefficients for material balance, heat balance, hydrogen balance, and gas balance, respectively.

[0096] These refer to safety impact, environmental protection requirements, and product quality index coefficients, respectively.

[0097] The connection method of each module unit in the system reliability block diagram is as follows:

[0098] The modular units are connected in series to the system reliability block diagram;

[0099] The modular units are combined in pairs to form parallel structural units, and the determination coefficient of each parallel structural unit is calculated. Decision coefficient Parallel structural units are connected in series in the system reliability block diagram. If there is more than one parallel structural unit among the multiple parallel structural units composed of the same module units, the determination coefficient is... Then, randomly select one of the parallel structural units and connect it to the system reliability block diagram in series; for the remaining module units, combine them in different numbers to form parallel structural units, and repeat the above steps; module units whose determination coefficient is still less than 1 after combining them into parallel structural units with a set number of module units are not included in the system reliability block diagram.

[0100] For example, the maximum number of module units that can be combined into a parallel structural unit can be set according to the characteristics of the device. For example, the number can be set to 3 to 5. If more module units are required to form a parallel structural unit so that the determination coefficient is equal to 1, it means that the influence of these module units on the entire device can be ignored.

[0101] S140 obtains the reliability of each module unit.

[0102] The equipment compensation coefficient is calculated based on the fault repair time, fault detection rate, inspection and maintenance frequency, and the age of the equipment; and the original reliability of the module unit is corrected by using the equipment compensation coefficient to obtain the reliability of the module unit.

[0103] The reliability of the module unit is:

[0104] ,

[0105] In the formula, is the equipment compensation coefficient; n is the number of devices in the module unit. This represents the minimum equipment compensation coefficient for n devices within a module unit. This represents the initial reliability of the module unit.

[0106] The equipment compensation coefficient is:

[0107] ,

[0108] , In the formula, This refers to the equipment age correction factor, with a value ranging from 0 to 1. The newer the equipment, the larger the value. This refers to the equipment inspection frequency correction factor, with a value ranging from 0 to 1. The higher the inspection frequency, the larger the value. This refers to the equipment failure repair time correction factor, with a value range of 0 to 1. The shorter the repair time of the faulty equipment, the larger the value. This refers to the equipment failure detection rate correction factor, with a value ranging from 0 to 1. The higher the equipment failure detection rate, the larger the value. This refers to the weighting coefficients of the four correction factors mentioned above.

[0109] S150 calculates the system reliability based on the reliability of each module unit and the connection method of each module unit in the system reliability block diagram.

[0110] The steps involved in calculating system reliability include:

[0111] The reliability of parallel structural units connected in series in a computational system reliability block diagram:

[0112] ;

[0113] The reliability of module units connected in series in the reliability block diagram of a computing system:

[0114] ;as well as

[0115] Computer system reliability:

[0116] ,

[0117] In the formula, I is the set of module units connected in series; J is the set of parallel structural units connected in series; and Q is the set of module units in the parallel structural units.

[0118] The following describes in more detail the reliability calculation method, system, electronic equipment, and storage medium of the atmospheric and vacuum distillation apparatus system of the present invention through specific embodiments. It should be understood that the embodiments are merely exemplary and the present invention is not limited thereto.

[0119] Example 1

[0120] This embodiment is for illustration. Figure 1 The middle step S120 involves a certain connection method.

[0121] Taking a petrochemical refinery as an example, certain connection methods include, for example... Figure 2 As shown, the equipment is connected in parallel to form a reduced-top reflux air cooler module unit; as Figure 3 As shown, the equipment is connected in series to form a constant-line heat exchange module unit; Figure 4 As shown, the equipment bypass consists of primary top reflux and product pump module units, etc. Among them, equipment parallel operation refers to multiple devices operating simultaneously in parallel; equipment bypass refers to the existence of backup equipment, which is normally in a non-operating state, and switches to the bypass backup equipment when the main equipment fails. Example 2

[0122] This embodiment is used to illustrate the values ​​of the index coefficients in the determination coefficients of different module units.

[0123] like Figure 2 The reflux air cooler module shown primarily functions to maintain heat requirements. However, a malfunction in this module may pose a risk of material leakage, impacting downstream material balance and causing environmental pollution. The leaked gaseous substances may pose flammable, explosive, or toxic hazards, potentially causing injury to personnel. Therefore, the required values ​​for the index coefficients of this module are as follows: Greater than , Greater than and , The value should be less than and The specific value depends on the heat exchanger specifications and the material temperature.

[0124] like Figure 4 The primary function of the reflux and product pump module shown is to transport materials. A failure in this module significantly impacts the material balance, and secondarily affects fluctuations in the hydrogen and gas balances. It also affects the heat balance required to maintain the material temperature within the pressure reducing tower. If the failure mode is pump leakage, the leaked substances may cause serious environmental pollution. Therefore, the required values ​​for the index coefficients of this module are as follows: Greater than , and , The value should be greater than and The specific value is determined based on the flow rate of the reflux and product pumps.

[0125] Example 3

[0126] This embodiment illustrates the connection method of each module unit in the system reliability block diagram.

[0127] right The modular units are connected in series to the system reliability block diagram. For example... Figure 5 As shown, the determination coefficients of the pressure reducing tower module unit, the pressure reducing top water distribution tank module unit, the pressure reducing slag pump module unit, and the pressure reducing top reflux air cooler module unit are all 1, and they are connected in series in the system reliability block diagram.

[0128] right The modular units are first combined in pairs to form parallel structural units, and the determination coefficient of each parallel structural unit is calculated. Decision coefficient Parallel structural units are connected in series in the system reliability block diagram. If there is more than one parallel structural unit among the multiple parallel structural units composed of the same module units, the determination coefficient is... Then, one of the parallel structural units is randomly selected and connected in series to the system reliability block diagram; the remaining module units are then connected in parallel structural units in combinations of three and four, and the above steps are repeated. This embodiment calculates at most the case where a parallel structural unit is composed of four module units. Figure 6 The diagram shows a parallel structure unit composed of four modular units. Ultimately, modular units whose decision coefficient is still less than 1 after being combined into a parallel structure unit of four modular units are no longer included in the system reliability block diagram.

[0129] Example 4

[0130] Combination Figure 7 As shown, the atmospheric and vacuum distillation apparatus system reliability calculation system of this embodiment includes: an acquisition unit 10, which is used to acquire all equipment sets involved in the process flow, and to divide the equipment involved in all the process flow into a module unit according to a certain connection method. The equipment that performs the same function on the same process flow node is divided into a module unit; a judgment unit 20, which is used to determine the connection method of each module unit in the system reliability block diagram according to the judgment coefficient; and a calculation unit 30, which is used to obtain the reliability of each module unit, and to calculate the system reliability according to the reliability of each module unit and the connection method of each module unit in the system reliability block diagram.

[0131] The calculation unit 30 includes: an original reliability subunit 31, which is used to calculate the original reliability of each module unit; a compensation coefficient subunit 32, which is used to calculate the compensation coefficient based on the fault repair time, fault detection rate, inspection and maintenance frequency, and equipment age; a reliability subunit 33, which is used to correct the original reliability of the module unit using the compensation coefficient to obtain the reliability of the module unit; and a system reliability subunit 34, which is used to calculate the system reliability.

[0132] Example 5

[0133] This embodiment provides a non-transient (non-volatile) computer storage medium that stores computer-executable instructions that can execute the methods in any of the above method embodiments and achieve the same technical effect.

[0134] Example 6

[0135] This embodiment provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium. The computer program includes program instructions, which, when executed by a computer, cause the computer to perform the methods described above and achieve the same technical effects.

[0136] Example 7

[0137] Figure 8 This is a schematic diagram of the hardware structure of the electronic device used in this embodiment to perform the reliability calculation method for the atmospheric and vacuum distillation apparatus system. The device includes one or more processors 610 and a memory 620. Taking one processor 610 as an example, the device may also include an input device 630 and an output device 640.

[0138] The processor 610, memory 620, input device 630, and output device 640 can be connected via a bus or other means. Figure 8 Taking the example of a connection between China and Israel via a bus.

[0139] The memory 620, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs, non-transitory computer-executable programs, and modules. The processor 610 executes various functional applications and data processing of the electronic device by running the non-transitory software programs, instructions, and modules stored in the memory 620, thereby implementing the processing method of the above-described method embodiments.

[0140] The memory 620 may include a program storage area and a data storage area, wherein the program storage area may store the operating system and applications required for at least one function; the data storage area may store data, etc. Furthermore, the memory 620 may include high-speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, the memory 620 may optionally include memory remotely located relative to the processor 610, and these remote memories may be connected to the processing device via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0141] Input device 630 can receive input digital or character information and generate signal input. Output device 640 may include display devices such as a display screen.

[0142] One or more modules are stored in memory 620 and, when executed by one or more processors 610, execute:

[0143] Establish a set of equipment involved in all process flows;

[0144] All equipment involved in the established process flow that performs the same function at the same process flow node is divided into a module unit according to a certain connection method;

[0145] Based on the decision coefficients, determine the connection method of each module unit in the system reliability block diagram;

[0146] Obtain the reliability of each module unit; and

[0147] The system reliability is calculated based on the reliability of each module and the connection method of each module in the system reliability block diagram.

[0148] The above-described product can execute the methods provided in the embodiments of the present invention, and has the corresponding functional modules and beneficial effects for executing the methods. Technical details not described in detail in this embodiment can be found in the methods provided in other embodiments of the present invention.

[0149] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0150] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a general-purpose hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the parts that contribute to the related technology, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods of various embodiments or some parts of embodiments.

[0151] The foregoing description of specific exemplary embodiments of the present invention is for illustrative and explanatory purposes. These descriptions are not intended to limit the invention to the precise forms disclosed, and it will be apparent that many changes and variations can be made in accordance with the foregoing teachings. The exemplary embodiments were chosen and described in order to explain the specific principles of the invention and its practical application, thereby enabling those skilled in the art to implement and utilize various different exemplary embodiments of the invention, as well as various different choices and variations. Any simple modifications, equivalent changes, and alterations made to the foregoing exemplary embodiments should fall within the scope of protection of the present invention.

Claims

1. A method for calculating the reliability of an atmospheric and vacuum distillation apparatus system, characterized in that, Includes the following steps: Establish a set of equipment involved in all process flows; All equipment involved in the established process flow that performs the same function at the same process flow node is divided into a module unit according to a certain connection method; Based on the decision coefficients, the connection method of each module unit in the system reliability block diagram is determined; the decision coefficients are: , , , in, This refers to the maximum impact on the downstream production material balance during a module unit failure. This refers to the degree of material fluctuation that can be tolerated if downstream production is stabilized and the system does not stop. The greater the impact, the larger the value. This refers to the maximum impact of a module unit failure on the heat balance of downstream production. This refers to the degree of heat fluctuation that the system can tolerate without stopping downstream production; the greater the impact, the larger the value. This refers to the maximum impact on the downstream hydrogen production balance during a module unit failure. This refers to the degree of hydrogen fluctuation that can be tolerated without stopping downstream production; the greater the impact, the larger the value. This refers to the maximum impact on the downstream production gas balance during a module unit failure. This refers to the degree of gas fluctuation that can be tolerated without stopping downstream production; the greater the impact, the larger the value. This refers to the most severe level of personal injury that may result during a module unit failure. This refers to the acceptable level of personal injury caused during a module unit failure; the higher the severity, the larger the value. This refers to the most severe level of environmental pollution that may result from leakage during a module unit failure. This refers to the acceptable level of environmental pollution caused during a module unit failure; the greater the severity, the higher the value. This refers to the maximum economic loss that may occur during a module unit failure. This refers to the acceptable level of economic loss caused during a module unit failure; the greater the loss, the larger the value. These refer to the coefficients for material balance, heat balance, hydrogen balance, and gas balance, respectively. These refer to safety impact, environmental protection requirements, and product quality index coefficients, respectively. Obtain the reliability of each module unit; as well as The system reliability is calculated based on the reliability of each module and the connection method of each module in the system reliability block diagram.

2. The reliability calculation method for an atmospheric and vacuum distillation apparatus system according to claim 1, characterized in that, The same process flow node refers to a node that is in the same functional position in the process; the same function is separation, pressurization, heat exchange, cooling, heating or storage and transportation; the specific connection method is series, parallel, bypass or voting.

3. The reliability calculation method for an atmospheric and vacuum distillation apparatus system according to claim 1, characterized in that, The judgment coefficient is a comprehensive impact indicator based on the production characteristics of the refining and chemical unit, analyzing the impact of module unit failure on the four major balances of downstream production, safety, environmental protection requirements, and economic losses. The four major balances are material balance, heat balance, hydrogen balance, and gas balance.

4. The reliability calculation method for the atmospheric and vacuum distillation apparatus system according to claim 1, characterized in that, The connection method of each module unit in the system reliability block diagram is as follows: The modular units are connected in series to the system reliability block diagram; The modular units are combined in pairs to form parallel structural units, and the determination coefficient of each parallel structural unit is calculated. Decision coefficient Parallel structural units are connected in series in the system reliability block diagram. If there is more than one parallel structural unit among the multiple parallel structural units composed of the same module units, the determination coefficient is... Then, randomly select one of the parallel structural units and connect it to the system reliability block diagram in series; for the remaining module units, combine them in different numbers to form parallel structural units, and repeat the above steps; module units whose determination coefficient is still less than 1 after combining them into parallel structural units with a set number of module units are not included in the system reliability block diagram.

5. The reliability calculation method for an atmospheric and vacuum distillation apparatus system according to claim 4, characterized in that, The set quantity is 3 to 5.

6. The method for calculating the reliability of an atmospheric and vacuum distillation apparatus system according to claim 1, characterized in that, The steps for obtaining the reliability of each module unit include: The compensation coefficient is calculated based on the fault repair time, fault detection rate, inspection and maintenance frequency, and the age of the equipment; and The original reliability of the module unit is corrected by using the equipment compensation coefficient to obtain the reliability of the module unit.

7. The method for calculating the reliability of an atmospheric and vacuum distillation apparatus system according to claim 6, characterized in that, The reliability of the module unit is: , In the formula, The compensation coefficient for the equipment; n The number of devices in the module unit; For module units n Minimum equipment compensation coefficient for each device; This represents the initial reliability of the module unit.

8. The method for calculating the reliability of an atmospheric and vacuum distillation apparatus system according to claim 7, characterized in that, The equipment compensation coefficient is: , , , In the formula, This refers to the correction factor for the age of the equipment; the newer the equipment, the larger the value. This refers to the equipment inspection frequency correction factor; the higher the inspection frequency, the larger the value. This refers to the equipment failure repair time correction factor; the shorter the repair time of the faulty equipment, the larger the value. This refers to the equipment failure detection rate correction factor; the higher the equipment failure detection rate, the larger the value. This refers to the weighting coefficients of the four correction factors mentioned above.

9. The method for calculating the reliability of an atmospheric and vacuum distillation apparatus system according to claim 1, characterized in that, The steps for calculating the reliability of the system include: The reliability of parallel structural units connected in series in a computational system reliability block diagram: ; The reliability of module units connected in series in the reliability block diagram of a computing system: ;as well as Computer system reliability: , In the formula, I is the set of module units connected in series; J is the set of parallel structural units connected in series; and Q is the set of module units in the parallel structural units.

10. A reliability calculation system for an atmospheric and vacuum distillation apparatus, characterized in that, The method described in any one of claims 1 to 9 includes: The acquisition unit is used to acquire the set of equipment involved in all processes and to divide the equipment involved in all processes into a module unit according to a certain connection method. The decision unit is used to determine the connection method of each module unit in the system reliability block diagram based on the decision coefficients; and The calculation unit is used to obtain the reliability of each module unit and calculate the system reliability based on the reliability of each module unit and the connection method of each module unit in the system reliability block diagram.

11. The reliability calculation system for an atmospheric and vacuum distillation apparatus according to claim 10, characterized in that, The connection method of each module unit in the system reliability block diagram is as follows: The modular units are connected in series to the system reliability block diagram; The modular units are combined in pairs to form parallel structural units, and the determination coefficient of each parallel structural unit is calculated. Decision coefficient Parallel structural units are connected in series in the system reliability block diagram. If there is more than one parallel structural unit among the multiple parallel structural units composed of the same module units, the determination coefficient is... Then, randomly select one of the parallel structural units and connect it to the system reliability block diagram in series; for the remaining module units, combine them in different numbers to form parallel structural units, and repeat the above steps; module units whose determination coefficient is still less than 1 after combining them into parallel structural units with a set number of module units are not included in the system reliability block diagram.

12. The reliability calculation system for an atmospheric and vacuum distillation apparatus according to claim 10, characterized in that, The computing unit includes: The original reliability sub-unit is used to calculate the original reliability of each module unit; The compensation coefficient subunit is used to calculate the compensation coefficient based on fault repair time, fault detection rate, inspection and maintenance frequency, and equipment age. A reliability subunit, used to correct the original reliability of the module unit using compensation coefficients to obtain the reliability of the module unit; and The system reliability subunit is used to calculate system reliability.

13. An electronic device, characterized in that, include: At least one processor; as well as A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, which, when executed by the at least one processor, causes the at least one processor to perform the reliability calculation method for an atmospheric and vacuum distillation apparatus system as described in any one of claims 1 to 9.

14. A non-transitory computer-readable storage medium, characterized in that, The non-transitory computer-readable storage medium stores computer-executable instructions, which are used to cause the computer to execute the reliability calculation method for the atmospheric and vacuum distillation apparatus system as described in any one of claims 1 to 9.