A method and apparatus for classifying rotating equipment in a refining and chemical enterprise

By scoring failure consequences and assessing risk levels of rotating equipment in refining and chemical enterprises, the limitations and inaccuracies of existing classification methods have been addressed. This has enabled accurate assessment of equipment risk levels and rational allocation of resources, reducing maintenance costs and improving equipment safety and stability.

CN122089267APending Publication Date: 2026-05-26RICHFIT INFORMATION TECH +1
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Patent Information

Application Number
CN202411701244.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-25
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

The existing classification methods for rotating equipment in refining and chemical enterprises are one-sided and inaccurate, resulting in high maintenance costs and affecting the long-term safe operation of the equipment.

Method used

By determining the severity score of the failure consequences index and the single-point failure/non-single-point failure score of each rotating equipment, a risk priority number is calculated, and the risk level of the equipment is determined based on the risk priority number, so as to provide a scientific and reasonable maintenance strategy and resource allocation.

Benefits of technology

This improves the accuracy of risk assessment for rotating equipment, makes better use of maintenance resources, reduces maintenance costs, and ensures the safe and stable operation of equipment.

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Abstract

This invention relates to the field of classifying rotating equipment in refining and chemical enterprises, and provides a method and apparatus for classifying rotating equipment in refining and chemical enterprises. The method includes: determining the severity score and single-point failure / non-single-point failure score of various failure consequence indicators for each rotating equipment in the refining and chemical enterprise; calculating the risk priority number of each rotating equipment based on the severity score, single-point failure / non-single-point failure score, and weight of each failure consequence indicator; and determining the risk level of each rotating equipment based on its risk priority number. This invention can improve the accuracy of rotating equipment risk levels and provide a scientific and reasonable basis for the classified management of rotating equipment in enterprises. It can also provide a reference for rotating equipment maintenance measures and the allocation of maintenance resources.
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Description

Technical Field

[0001] This invention relates to the field of classifying rotating equipment in refining and chemical enterprises, and more particularly to a method and apparatus for classifying rotating equipment in refining and chemical enterprises. Background Technology

[0002] In existing technologies, for rotating equipment in refining and chemical enterprises, maintenance personnel are typically dispatched directly for indiscriminate repair and maintenance when abnormalities occur. This approach fails to determine maintenance measures and allocate resources based on the equipment's classification information, and does not concentrate human and material resources on high-risk rotating equipment. Consequently, the maintenance of existing rotating equipment suffers from low precision, high costs, and impacts on the long-term safe operation of the equipment.

[0003] The current classification of rotating equipment in refining and chemical enterprises is mainly based on the value and importance of the equipment. This classification method is one-sided and inaccurate. Summary of the Invention

[0004] This invention addresses the problem of inaccurate and one-sided classification of rotating equipment in refining and chemical enterprises in the prior art.

[0005] To address the aforementioned technical problems, the first aspect of this invention provides a method for classifying rotating equipment in refining and chemical enterprises, comprising:

[0006] Determine the severity scores of various failure consequence indicators for each rotating equipment in the refining and chemical enterprise, as well as the single-point failure / non-single-point failure scores for each failure consequence indicator.

[0007] Based on the severity scores of each failure consequence index of each rotating equipment, the single-point failure / non-single-point failure scores of each failure consequence index, and the weights of each failure consequence index, the risk priority number of each rotating equipment is calculated.

[0008] The risk level of each rotating device is determined based on its risk priority number.

[0009] In a further embodiment of the present invention, the failure consequence indicators include at least: HSSE impact indicators, production loss indicators, and property loss indicators;

[0010] Before calculating the risk priority number for each rotating device, the following is also included:

[0011] The severity score of the production loss index of each rotating device is corrected using the production loss correction coefficient of each rotating device.

[0012] In a further embodiment of the present invention, the risk priority number of each rotating device is calculated based on the severity score of each failure consequence index, the single-point failure / non-single-point failure score of each failure consequence index, and the weight of each failure consequence index, including:

[0013] Based on the severity scores of various failure consequence indicators for each rotating piece of equipment, the single-point failure / non-single-point failure scores of each failure consequence indicator, and the weights of each failure consequence indicator, the risk priority number for each rotating piece of equipment is calculated using the following formula:

[0014] RPN=a×S HSSE ×SPOF HSSE +b×K×S 生产 ×SPOF 生产 +c×S 财产 ×SPOF 财产 ;

[0015] Wherein, RPN is the risk priority number for rotating equipment;

[0016] S HSSE SPOF is used to score the severity of the HSSE impact index for rotating equipment. HSSE Single-point failure / non-single-point failure scoring for HSSE impact indicators of rotating equipment;

[0017] K is the production loss correction coefficient for rotating equipment, S 生产 SPOF is used to score the severity of production loss indicators for rotating equipment. HSSE Single-point failure / non-single-point failure scoring for production loss indicators of rotating equipment;

[0018] S 财产 SPOF is used to rate the severity of property damage to rotating equipment. 财产 Single-point failure / non-single-point failure scoring for property damage indicators of rotating equipment;

[0019] a, b, and c represent the weights of the HSSE impact indicators, production loss indicators, and property loss indicators, respectively.

[0020] As a further embodiment of the present invention, the method for classifying rotating equipment in refining and chemical enterprises also includes:

[0021] The severity level of each rotating device is determined based on the severity scores of the various failure consequence indicators.

[0022] In a further embodiment of the present invention, the severity level of each rotating device is determined based on the severity score of each failure consequence index of each rotating device, including:

[0023] The overall severity score for each rotating device is calculated using the following formula:

[0024] S = max{S HSSE ,K×S 生产 ,S 财产};

[0025] Among them, S HSSE The severity score for the HSSE impact index of rotating equipment, K is the production loss correction coefficient for rotating equipment, and S 生产 S is used to score the severity of production loss indicators for rotating equipment. 财产 Severity rating for property damage indicators of rotating equipment;

[0026] Based on the overall severity score of each rotating device and the preset severity level rules, the overall severity level of each rotating device is determined. The preset severity level rules include at least the correlation between the severity scores of each failure consequence indicator and the severity level.

[0027] In a further embodiment of the present invention, the risk level of each rotating device is determined based on the risk priority number of each rotating device, including:

[0028] The risk priority number of each rotating device is matched with the preset risk level rules to determine the risk level of each rotating device. The preset risk level rules include the correlation between the risk priority number and the risk level; or

[0029] The rotating equipment is sorted according to its risk priority.

[0030] The risk level of each rotating device is determined based on the proportion of rotating devices at each risk level and the ranking results.

[0031] In a further embodiment of the present invention, determining the severity score of various failure consequence indicators and the single-point failure / non-single-point failure score of various failure consequence indicators for each rotating equipment in a refining and chemical enterprise includes:

[0032] Obtain severity characteristics of various failure consequence indicators of rotating equipment in refining and chemical enterprises, as well as single-point failure / non-single-point failure characteristics;

[0033] The severity characteristics of various failure consequence indicators of rotating equipment are matched with the severity evaluation rules of various failure consequence indicators. The severity scores of various failure consequence indicators of rotating equipment are determined based on the matching results. The severity evaluation rules of various failure consequence indicators include the correlation between the severity scores and the standard severity characteristics.

[0034] The single-point failure / non-single-point failure characteristic information of various failure consequence indicators of rotating equipment is matched with the single-point failure / non-single-point failure evaluation rules of various failure consequence indicators. The single-point failure / non-single-point failure score of rotating equipment is determined based on the matching result. The single-point failure / non-single-point failure scoring rules include the correlation between the single-point failure / non-single-point failure score and the standard single-point failure / non-single-point failure characteristic information.

[0035] As a further embodiment of the present invention, the method for classifying rotating equipment in refining and chemical enterprises also includes:

[0036] The maintenance strategy for each rotating device is obtained by matching the strategy library with the risk level of each rotating device. The strategy library sets the correlation between the risk level and the maintenance strategy.

[0037] Maintenance is carried out on each rotating device based on the maintenance strategy for each rotating device.

[0038] A second aspect of the present invention provides a grading device for rotating equipment in a refining and chemical enterprise, comprising:

[0039] The evaluation unit is used to determine the severity score of various failure consequence indicators of each rotating equipment in the refining and chemical enterprise and the single-point failure / non-single-point failure score of each failure consequence indicator.

[0040] The calculation unit is used to calculate the risk priority number of each rotating device based on the severity score of each failure consequence index, the single-point failure / non-single-point failure score of each failure consequence index, and the weight of each failure consequence index.

[0041] The grading unit is used to determine the risk level of each rotating device based on its risk priority number.

[0042] A third aspect of the present invention provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method described in any of the foregoing embodiments.

[0043] A fourth aspect of the present invention provides a computer-readable storage medium storing a computer program that, when executed by a processor of a computer device, implements the method described in any of the foregoing embodiments.

[0044] The fifth aspect of the present invention provides a computer program product, the computer program product comprising a computer program that, when executed by a processor of a computer device, implements the method described in any of the foregoing embodiments.

[0045] The present invention provides a method and apparatus for classifying rotating equipment in refining and chemical enterprises. This method determines the severity score and single-point / non-single-point failure score of various failure consequence indicators for each rotating equipment in the enterprise. Based on these scores and their weights, a risk priority number is calculated for each rotating equipment. The risk level of each rotating equipment is then determined based on this priority number. This method comprehensively considers the severity of each failure consequence indicator (reflected by the severity score) and the availability of redundant or alternative facilities after each failure consequence (reflected by the single-point / non-single-point failure score), improving the accuracy of rotating equipment risk classification and providing a scientific and reasonable basis for the graded management of rotating equipment in enterprises. Simultaneously, it provides a reference for rotating equipment maintenance measures and the allocation of maintenance resources, thereby ensuring the rational use of maintenance resources, reducing maintenance costs, and improving the safe and stable operation of rotating equipment in refining and chemical enterprises.

[0046] To make the above and other objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0047] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0048] Figure 1 This invention illustrates a first flowchart of a method for classifying rotating equipment in a refining and chemical enterprise, according to an embodiment of the present invention.

[0049] Figure 2 A flowchart illustrating the severity scoring and single-point failure / non-single-point failure scoring process according to an embodiment of the present invention is shown.

[0050] Figure 3 This invention illustrates a second flowchart of a method for classifying rotating equipment in refining and chemical enterprises according to an embodiment of the present invention.

[0051] Figure 4 The third flowchart of the classification method for rotating equipment in refining and chemical enterprises according to an embodiment of the present invention is shown;

[0052] Figure 5 A structural diagram of a grading device for a refining and chemical enterprise, according to an embodiment of the present invention, is shown.

[0053] Figure 6 A structural diagram of a computer device according to an embodiment of the present invention is shown.

[0054] Explanation of symbols in the attached drawings:

[0055] 501. Evaluation Unit;

[0056] 502. Calculation Unit;

[0057] 503. Hierarchical unit;

[0058] 602. Computer equipment;

[0059] 604, Processor;

[0060] 606. Memory;

[0061] 608. Drive mechanism;

[0062] 610. Input / output module;

[0063] 612. Input devices;

[0064] 614. Output devices;

[0065] 616. Presentation equipment;

[0066] 618. Graphical User Interface;

[0067] 620. Network interface;

[0068] 622. Communication link;

[0069] 624. Communication bus. Detailed Implementation

[0070] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0071] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, apparatus, product, or device that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or devices.

[0072] This specification provides the operational steps of the methods described in the embodiments or flowcharts, but based on conventional or non-inventive labor, more or fewer operational steps may be included. The order of steps listed in the embodiments is merely one possible execution order among many and does not represent the only possible execution order. In actual system or device products, the methods shown in the embodiments or drawings can be executed sequentially or in parallel.

[0073] It should be noted that the data involved in this application (including but not limited to data used for analysis, data stored, data displayed, etc.) are all information and data authorized by the user or fully authorized by all parties, and the acquisition, transmission, storage, use and processing of the relevant data comply with the relevant laws, regulations and standards of the relevant countries and regions.

[0074] It should be noted that in the embodiments of this application, certain software, components, models and other existing solutions in the industry may be mentioned. These should be regarded as exemplary and are only intended to illustrate the feasibility of implementing the technical solution of this application. However, it does not mean that the applicant has used or necessarily used the solution.

[0075] In existing technologies, the classification of rotating equipment in refining and chemical enterprises is mainly based on the value and importance of the equipment. This classification method is one-sided and inaccurate. To address this problem, this invention provides a method for classifying rotating equipment in refining and chemical enterprises, such as... Figure 1 As shown, it includes:

[0076] Step 101: Determine the severity score of each failure consequence index of each rotating equipment in the refining and chemical enterprise and the single-point failure / non-single-point failure score of each failure consequence index.

[0077] Step 102: Calculate the risk priority number for each rotating device based on the severity score of each failure consequence index, the single-point failure / non-single-point failure score of each failure consequence index, and the weight of each failure consequence index.

[0078] Step 103: Determine the risk level of each rotating device based on the risk priority number of each rotating device.

[0079] The consequences of rotating equipment failures and the availability of redundant facilities after a failure directly impact the risk of the equipment. This embodiment improves the accuracy of rotating equipment risk levels by comprehensively considering the severity of various failure consequence indicators (reflected by severity level) and the probability of each failure consequence occurring (reflected by single-point failure / non-single-point failure). This provides a scientific and reasonable basis for the hierarchical management of rotating equipment in enterprises. Simultaneously, it provides a reference for rotating equipment maintenance measures and the allocation of maintenance resources, thereby ensuring the rational utilization of maintenance resources, reducing maintenance costs, and improving the safe and stable operation of rotating equipment in refining and chemical enterprises.

[0080] In detail, the rotating equipment described in this invention includes, but is not limited to, pumps, compressors, fans, steam turbines, and speed reducers.

[0081] Failure consequence indicators refer to the consequences of rotating equipment failures. In one specific implementation, failure consequence indicators include at least: HSSE impact indicators, production loss indicators, and property loss indicators. HSSE impact indicators are those assessing the impact of transmission equipment failures on health, safety, security, and the environment. Production loss indicators are those assessing the impact of transmission equipment failures on production. Property loss indicators are those assessing the impact of transmission equipment failures on property.

[0082] The severity score of each failure consequence indicator is an evaluation of the severity of the consequences of a failure in the transmission equipment. A higher severity score indicates a higher degree of severity, and a lower severity score indicates a lower degree of severity.

[0083] A single point of failure for each failure consequence indicator refers to a failure where there is no redundant or irreplaceable facility after the failure consequence occurs. A non-single point of failure for each failure consequence indicator refers to a failure where there are redundant or replaceable facilities after the failure consequence occurs. Because a non-single point of failure for a failure consequence indicator indicates the existence of redundant or replaceable facilities, and the failure of that indicator can be resolved quickly, for the same failure consequence indicator, its single point of failure score is higher than its non-single point of failure score.

[0084] A higher single-point failure / non-single-point failure score indicates slower fault recovery / greater impact, i.e., a higher degree of impact; a lower single-point failure / non-single-point failure score indicates lower severity.

[0085] In step 102, the risk priority number of the transmission equipment can comprehensively reflect the severity of multiple failure consequence indicators and the risk impact of single-point failure / non-single-point failure on the transmission equipment. Based on the risk priority number, the risk severity of the transmission equipment can be comprehensively determined.

[0086] When implementing step 102, the risk priority number for each rotating device is calculated using the following formula:

[0087] RPN=a×S HSSE ×SPOF HSSE +b×S 生产 ×SPOF 生产 +c×S 财产 ×SPOF 财产 ;

[0088] Wherein, RPN is the risk priority number for rotating equipment;

[0089] S HSSE SPOF is used to score the severity of the HSSE impact index for rotating equipment. HSSE Single-point failure / non-single-point failure scoring for HSSE impact indicators of rotating equipment;

[0090] S 生产 SPOF is used to score the severity of production loss indicators for rotating equipment. HSSE Single-point failure / non-single-point failure scoring for production loss indicators of rotating equipment;

[0091] S 财产 SPOF is used to rate the severity of property damage to rotating equipment. 财产 Single-point failure / non-single-point failure scoring for property damage indicators of rotating equipment;

[0092] a, b, and c represent the weights of the HSSE impact index, production loss index, and property loss index, respectively. In practice, the weights of various failure consequence indices of the transmission equipment can be set according to the actual situation of the transmission equipment. In practice, the weights of the same failure consequence index are not the same for different transmission equipment.

[0093] The severity scores of the above-mentioned failure consequence indicators reflect the degree of severity, while the single-point failure / non-single-point failure scores of each failure consequence indicator reflect the probability of the occurrence of each failure consequence.

[0094] In one embodiment of the present invention, as Figure 2 As shown, step 101 above, which determines the severity scores of various failure consequence indicators for each rotating equipment in the refining and chemical enterprise and the single-point failure / non-single-point failure scores for each failure consequence indicator, includes:

[0095] Step 201: Obtain the severity characteristics of various failure consequence indicators of each rotating equipment in the refining and chemical enterprise, as well as the single-point failure / non-single-point failure characteristics.

[0096] Step 202: Match the severity characteristic information of each failure consequence index of the rotating equipment with the severity evaluation rules of each failure consequence index, and determine the severity score of each failure consequence index of the rotating equipment based on the matching results.

[0097] In practice, the severity characteristics of various failure consequence indicators can be extracted from all information of the rotating equipment. The specific characteristics of severity can be determined based on the standard severity characteristics.

[0098] Among them, the severity evaluation rules for each failure consequence indicator include the correlation between severity score and standard severity characteristic information.

[0099] In one specific embodiment, the severity evaluation rules are shown in Table 1.

[0100] Table 1

[0101]

[0102]

[0103] In this step, matching results are obtained by calculating the similarity between the severity characteristic information of each failure consequence index of the rotating equipment and the standard severity characteristic information of each failure consequence index. The greater the similarity, the more accurate the matching result. For each failure consequence index, the score corresponding to the standard severity characteristic information with the highest similarity is taken as the severity score of each failure consequence index.

[0104] Step 203: Match the single-point failure / non-single-point failure characteristic information of each failure consequence index of the rotating equipment with the single-point failure / non-single-point failure evaluation rules of each failure consequence index, and determine the single-point failure / non-single-point failure score of the rotating equipment based on the matching results.

[0105] In practice, single-point fault / non-single-point fault characteristic information of various fault indicators can be extracted from all information of the rotating equipment. The specific characteristics of single-point fault / non-single-point fault can be determined based on standard single-point fault / non-single-point fault characteristic information.

[0106] Among them, the single-point fault / non-single-point fault scoring rules include the correlation between the single-point fault / non-single-point fault scores and the standard single-point fault / non-single-point fault characteristic information.

[0107] In one specific embodiment, the scoring rules for single-point faults / non-single-point faults are shown in Table 2.

[0108] Table 2

[0109]

[0110]

[0111] In this step, matching results are obtained by calculating the similarity between the single-point fault / non-single-point fault feature information of each failure consequence index of the rotating equipment and the standard single-point fault / non-single-point fault feature information of each failure consequence index. The greater the similarity, the more accurate the matching result. For each failure consequence index, the score corresponding to the standard single-point fault / non-single-point fault feature information with the highest similarity is used as the single-point fault / non-single-point fault score for each failure consequence index.

[0112] This embodiment can automatically achieve the severity score of various failure consequence indicators of each rotating device and the single-point failure / non-single-point failure score of various failure consequence indicators by using feature similarity calculation and rule matching.

[0113] In one embodiment of the present invention, step 103 above, which determines the risk level of each rotating device based on the risk priority number of each rotating device, includes:

[0114] The risk priority number of each rotating device is matched with the preset risk level rules to determine the risk level of each rotating device. The preset risk level rules include the correlation between the risk priority number and the risk level.

[0115] In one specific implementation, the preset risk level rules are shown in Table 3.

[0116] Table 3

[0117] grade logo Note (RPN stands for Risk Priority Number) Low risk (E) (not important) green RPN<2 Low to medium risk (D) (General) blue 2≤RPN<25 Medium risk C (main) yellow 25≤RPN<40 Medium-to-high risk B (Important) orange color 40≤RPN<100 High Risk A (Critical) red RPN≥100

[0118] The labels in Table 3 are used for marking rotating equipment during display so that the risk level of the rotating equipment can be quickly and intuitively determined through the labels.

[0119] In one embodiment of the present invention, step 103 above, which determines the risk level of each rotating device based on the risk priority number of each rotating device, includes:

[0120] The rotating equipment is sorted according to its risk priority.

[0121] The risk level of each rotating device is determined based on the proportion of rotating devices at each risk level and the ranking results.

[0122] In one embodiment of the present invention, as Figure 3 As shown, the method for classifying rotating equipment in refining and chemical enterprises, in addition to the rotating equipment risk classification steps 101 to 103 mentioned above, also includes:

[0123] Step 301: Match the strategy library according to the risk level of each rotating device to obtain the maintenance strategy for each rotating device.

[0124] Step 302: Perform maintenance on each rotating device based on the maintenance strategy for each rotating device.

[0125] The strategy library establishes a correlation between risk levels and maintenance strategies. Different risk levels correspond to different maintenance strategies for rotating equipment. Generally, rotating equipment with higher risk levels (i.e., higher risk severity) requires more maintenance resources. In specific implementation, the strategy library can be configured for the risk levels shown in Table 3 in the following ways:

[0126] 1) Quality Assurance Strategy

[0127] Develop detailed quality assurance strategies for critical equipment, with standards for design, supervision, installation, and commissioning exceeding those for other risk levels.

[0128] 2) Operation and maintenance procedures

[0129] Establish detailed operation and maintenance procedures for key equipment to avoid overload operation, misoperation, and equipment failure.

[0130] 3) Reliability Management Strategy

[0131] For critical equipment, conduct FMEA and RCM analyses, and based on the analysis results, implement the highest level of preventative maintenance. Possible options include high-level inspections, automatic lubrication systems, real-time vibration monitoring systems, online corrosion monitoring systems, and regular oil analysis. For lower-level equipment, use experience-based methods to develop maintenance strategies.

[0132] 4) Spare parts management strategy

[0133] Detailed management plans have been developed for both the quantity and quality of spare parts, and dynamic evaluation and optimization are implemented.

[0134] 5) Personnel Management Strategies

[0135] Operators and maintenance personnel of critical equipment need to receive special training to meet specific quality assurance, equipment integrity management requirements and procedures.

[0136] 6) Document Management Strategy

[0137] Special attention should be paid to the archives and records of critical equipment.

[0138] In one embodiment of the present invention, a method for classifying rotating equipment in a refining and chemical enterprise is also provided, such as... Figure 4 As shown, it includes:

[0139] Step 401: Determine the severity score of each failure consequence index of each rotating equipment in the refining and chemical enterprise and the single-point failure / non-single-point failure score of each failure consequence index.

[0140] Step 402: Correct the severity score of the production loss index of each rotating device using the production loss correction coefficient of each rotating device.

[0141] The production loss correction factor, also known as the equipment criticality factor (K), is a measurement method used for horizontal comparisons between different rotating equipment. In practical implementation, the production loss correction factor is determined based on the production scale and technical complexity of different rotating equipment. In the criticality grading analysis of equipment, the production equipment criticality factor can be used to correct the initial risk assessment results of the production equipment, making the assessment results more objective and reasonable.

[0142] Step 403: Calculate the risk priority number for each rotating device based on the severity score of each failure consequence index, the single-point failure / non-single-point failure score of each failure consequence index, and the weight of each failure consequence index.

[0143] In practice, the risk priority number for each rotating device is calculated using the following formula:

[0144] RPN=a×S HSSE ×SPOF HSSE +b×K×S 生产 ×SPOF 生产 +c×S 财产 ×SPOF 财产 ;

[0145] Wherein, RPN is the risk priority number for rotating equipment;

[0146] S HSSE SPOF is used to score the severity of the HSSE impact index for rotating equipment. HSSE Single-point failure / non-single-point failure scoring for HSSE impact indicators of rotating equipment;

[0147] K is the production loss correction coefficient for rotating equipment, S 生产 SPOF is used to score the severity of production loss indicators for rotating equipment. HSSE Single-point failure / non-single-point failure scoring for production loss indicators of rotating equipment;

[0148] S 财产 SPOF is used to rate the severity of property damage to rotating equipment. 财产 Single-point failure / non-single-point failure scoring for property damage indicators of rotating equipment;

[0149] a, b, and c represent the weights of the HSSE impact indicators, production loss indicators, and property loss indicators, respectively.

[0150] Step 404: Determine the risk level of each rotating device based on the risk priority number of each rotating device.

[0151] This embodiment corrects the severity score of the production loss index for different rotating equipment through step 402, which can avoid the differences in production losses between different rotating equipment and improve the accuracy of the risk priority number calculation for rotating equipment.

[0152] In one embodiment of the present invention, the method for classifying rotating equipment in refining and chemical enterprises further includes:

[0153] Based on the severity scores of each failure consequence index of each rotating equipment, the severity level of each failure consequence index of each rotating equipment is determined.

[0154] In practice, the severity level of each failure consequence index of each rotating equipment can be determined by using the severity level evaluation rules. The severity level evaluation rules are shown in Table 4.

[0155] Table 4

[0156]

[0157]

[0158] If the production loss index score is adjusted according to the production loss correction coefficient, the severity level evaluation rules for the production loss index are shown in Table 5.

[0159] Table 5

[0160] Score grade <![CDATA[S 生产 <2]]> S5 <![CDATA[2≤S 生产 <25]]> S4 <![CDATA[25≤S 生产 <40]]> S3 <![CDATA[40≤S 生产 <100]]> S2 <![CDATA[S 生产 ≥100]]> S1

[0161] In one embodiment of the present invention, the method for classifying rotating equipment in refining and chemical enterprises further includes:

[0162] Based on the severity scores of each failure consequence index for each rotating device, the severity level of each rotating device is determined. In practice, considering that the highest severity score among all failure consequence indices reflects the overall severity of the rotating device, the total severity score for each rotating device is first calculated using the following formula:

[0163] S = max{S HSSE ,K×S 生产 ,S 财产};

[0164] Among them, S HSSE The severity score for the HSSE impact index of rotating equipment, K is the production loss correction coefficient for rotating equipment, and S生产 S is used to score the severity of production loss indicators for rotating equipment. 财产 The severity score is used to measure the property damage index of rotating equipment.

[0165] Then, based on the overall severity score of each rotating device and the preset severity level rules, the overall severity level of each rotating device is determined. The preset severity level rules include at least the correlation between the severity scores of each failure consequence indicator and the severity level.

[0166] In specific implementation, the preset severity level rules are shown in Tables 4 and 5. This invention does not limit the specific correlation between severity score and severity level.

[0167] This embodiment helps refining companies assess the most likely risks (including safety risks, production losses, and environmental impacts) posed by rotating equipment by determining the overall severity score and level for each piece of equipment. It also helps companies rationally allocate maintenance and repair resources. Specifically, the overall severity score helps prioritize tasks, ensuring that the most critical issues are addressed first. Furthermore, the overall severity score can be used to evaluate the cost-effectiveness of repair and replacement decisions, helping companies find the most economical maintenance solutions.

[0168] Based on the same inventive concept, this invention also provides a grading device for rotating equipment in refining and chemical enterprises, as described in the following embodiments. Since the principle of the grading device for rotating equipment in refining and chemical enterprises is similar to that of the grading method for rotating equipment in refining and chemical enterprises, the implementation of the grading device for rotating equipment in refining and chemical enterprises can refer to the grading method for rotating equipment in refining and chemical enterprises; repeated details will not be elaborated further.

[0169] Specifically, such as Figure 5 As shown, the grading device of the rotating equipment in a refining and chemical enterprise includes:

[0170] Evaluation unit 501 is used to determine the severity score of various failure consequence indicators of each rotating equipment in the refining and chemical enterprise and the single-point failure / non-single-point failure score of each failure consequence indicator.

[0171] The calculation unit 502 is used to calculate the risk priority number of each rotating equipment based on the severity score of each failure consequence index, the single-point failure / non-single-point failure score of each failure consequence index, and the weight of each failure consequence index.

[0172] The grading unit 503 is used to determine the risk level of each rotating device based on the risk priority number of each rotating device.

[0173] This invention comprehensively considers the severity of various failure consequences (reflected by the severity level) and the availability of redundant or alternative facilities after each failure consequence (reflected by single-point failure / non-single-point failure), thereby improving the accuracy of risk levels for rotating equipment and providing a scientific and reasonable basis for the hierarchical management of rotating equipment in enterprises. Simultaneously, it provides a reference for rotating equipment maintenance measures and the allocation of maintenance resources, thereby ensuring the rational utilization of maintenance resources, reducing maintenance costs, and improving the safe and stable operation of rotating equipment in refining and chemical enterprises.

[0174] In one embodiment of the present invention, a computer device is also provided, such as... Figure 6 As shown, computer device 602 may include one or more processors 604, such as one or more central processing units (CPUs), each of which may implement one or more hardware threads. Computer device 602 may also include any memory 606 for storing information of any kind, such as code, settings, data, etc. Non-limitingly, for example, memory 606 may include any type of RAM, any type of ROM, flash memory, hard disk, optical disk, etc. More generally, any memory can use any technology to store information. Furthermore, any memory may provide volatile or non-volatile retention of information. Furthermore, any memory may represent a fixed or removable component of computer device 602. In one case, when processor 604 executes associated instructions stored in any memory or combination of memories, computer device 602 may perform any operation of the associated instructions. Computer device 602 also includes one or more drive mechanisms 608 for interacting with any memory, such as hard disk drive mechanisms, optical disk drive mechanisms, etc.

[0175] Computer device 602 may also include an input / output module 610 (I / O) for receiving various inputs (via input device 612) and providing various outputs (via output device 614). A specific output mechanism may include a presentation device 616 and an associated graphical user interface 618 (GUI). In other embodiments, the input / output module 610 (I / O), input device 612, and output device 614 may be omitted, and the device may function solely as a computer device within a network. Computer device 602 may also include one or more network interfaces 620 for exchanging data with other devices via one or more communication links 622. One or more communication buses 624 couple the components described above together.

[0176] Communication link 622 can be implemented in any way, such as via a local area network, a wide area network (e.g., the Internet), a point-to-point connection, or any combination thereof. Communication link 622 may include any combination of hardwired links, wireless links, routers, gateway functions, name servers, etc., governed by any protocol or combination of protocols.

[0177] This invention also provides a computer-readable storage medium storing a computer program that, when executed by a processor, performs the steps of the above-described method.

[0178] This invention also provides a computer-readable instruction, wherein when a processor executes the instruction, the program therein causes the processor to perform the method described in any of the foregoing embodiments.

[0179] It should be understood that, in various embodiments of the present invention, the order of the above-mentioned process numbers does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0180] It should also be understood that, in the embodiments of the present invention, the term "and / or" is merely a description of the relationship between associated objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Furthermore, in the present invention, the character " / " generally indicates that the preceding and following associated objects have an "or" relationship.

[0181] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed in this invention can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of each example have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0182] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0183] In the embodiments provided by this invention, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative. For instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be indirect coupling or communication connection through some interfaces, devices, or units, or may be electrical, mechanical, or other forms of connection.

[0184] The units described as separate components may or may not be physically separate. 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 units can be selected to achieve the purpose of the embodiments of the present invention, depending on actual needs.

[0185] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0186] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0187] Specific embodiments have been used to illustrate the principles and implementation methods of this invention. The descriptions of the embodiments above are only for the purpose of helping to understand the method and core ideas of this invention. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this invention. Therefore, the content of this specification should not be construed as a limitation of this invention.

Claims

1. A method for classifying rotating equipment in a refining and chemical enterprise, characterized in that, include: Determine the severity scores of various failure consequence indicators for each rotating equipment in the refining and chemical enterprise, as well as the single-point failure / non-single-point failure scores for each failure consequence indicator. Based on the severity scores of each failure consequence index of each rotating equipment, the single-point failure / non-single-point failure scores of each failure consequence index, and the weights of each failure consequence index, the risk priority number of each rotating equipment is calculated. The risk level of each rotating device is determined based on its risk priority number.

2. The method as described in claim 1, characterized in that, The failure consequence indicators include at least: HSSE impact indicators, production loss indicators, and property loss indicators; Before calculating the risk priority number for each rotating device, the following is also included: The severity score of the production loss index of each rotating device is corrected using the production loss correction coefficient of each rotating device.

3. The method as described in claim 2, characterized in that, Based on the severity scores of various failure consequence indicators for each rotating piece of equipment, the single-point failure / non-single-point failure scores of each failure consequence indicator, and the weights of each failure consequence indicator, the risk priority number for each rotating piece of equipment is calculated, including: Based on the severity scores of various failure consequence indicators for each rotating piece of equipment, the single-point failure / non-single-point failure scores of each failure consequence indicator, and the weights of each failure consequence indicator, the risk priority number for each rotating piece of equipment is calculated using the following formula: RPN=a×S HSSE ×SPOF HSSE +b×K×S 生产 ×SPOF 生产 +c×S 财产 ×SPOF 财产 ; Wherein, RPN is the risk priority number for rotating equipment; S HSSE SPOF is used to score the severity of the HSSE impact index for rotating equipment. HSSE Single-point failure / non-single-point failure scoring for HSSE impact indicators of rotating equipment; K is the production loss correction coefficient for rotating equipment, S 生产 SPOF is used to score the severity of production loss indicators for rotating equipment. HSSE Single-point failure / non-single-point failure scoring for production loss indicators of rotating equipment; S 财产 SPOF is used to rate the severity of property damage to rotating equipment. 财产 Single-point failure / non-single-point failure scoring for property damage indicators of rotating equipment; a, b, and c represent the weights of the HSSE impact indicators, production loss indicators, and property loss indicators, respectively.

4. The method as described in claim 2, characterized in that, Also includes: The severity level of each rotating device is determined based on the severity scores of the various failure consequence indicators.

5. The method as described in claim 4, characterized in that, Based on the severity scores of the various failure consequence indicators for each rotating piece of equipment, the severity level of each rotating piece of equipment is determined, including: The overall severity score for each rotating device is calculated using the following formula: S=max{S HSSE ,K×S 生产 ,S 财产 }; Among them, S HSSE The severity score for the HSSE impact index of rotating equipment, K is the production loss correction coefficient for rotating equipment, and S 生产 S is used to score the severity of production loss indicators for rotating equipment. 财产 Severity rating for property damage indicators of rotating equipment; Based on the overall severity score of each rotating device and the preset severity level rules, the overall severity level of each rotating device is determined. The preset severity level rules include at least the correlation between the severity scores of each failure consequence indicator and the severity level.

6. The method as described in claim 1, characterized in that, Based on the risk priority number of each rotating piece of equipment, the risk level of each rotating piece of equipment is determined, including: The risk priority number of each rotating device is matched with the preset risk level rules to determine the risk level of each rotating device. The preset risk level rules include the correlation between the risk priority number and the risk level; or The rotating equipment is sorted according to its risk priority. The risk level of each rotating device is determined based on the proportion of rotating devices at each risk level and the ranking results.

7. The method as described in claim 1, characterized in that, Determine the severity scores of various failure consequence indicators for each rotating equipment in the refining and chemical enterprise, as well as the single-point failure / non-single-point failure scores for each failure consequence indicator, including: Obtain severity characteristics of various failure consequence indicators of rotating equipment in refining and chemical enterprises, as well as single-point failure / non-single-point failure characteristics; The severity characteristics of various failure consequence indicators of rotating equipment are matched with the severity evaluation rules of various failure consequence indicators. The severity scores of various failure consequence indicators of rotating equipment are determined based on the matching results. The severity evaluation rules of various failure consequence indicators include the correlation between the severity scores and the standard severity characteristics. The single-point failure / non-single-point failure characteristic information of various failure consequence indicators of rotating equipment is matched with the single-point failure / non-single-point failure evaluation rules of various failure consequence indicators. The single-point failure / non-single-point failure score of rotating equipment is determined based on the matching result. The single-point failure / non-single-point failure scoring rules include the correlation between the single-point failure / non-single-point failure score and the standard single-point failure / non-single-point failure characteristic information.

8. The method as described in claim 1, characterized in that, Also includes: The maintenance strategy for each rotating device is obtained by matching the strategy library with the risk level of each rotating device. The strategy library sets the correlation between the risk level and the maintenance strategy. Maintenance is carried out on each rotating device based on the maintenance strategy for each rotating device.

9. A grading device for rotating equipment in a refining and chemical enterprise, characterized in that, include: The evaluation unit is used to determine the severity score of various failure consequence indicators of each rotating equipment in the refining and chemical enterprise and the single-point failure / non-single-point failure score of each failure consequence indicator. The calculation unit is used to calculate the risk priority number of each rotating device based on the severity score of each failure consequence index, the single-point failure / non-single-point failure score of each failure consequence index, and the weight of each failure consequence index. The grading unit is used to determine the risk level of each rotating device based on its risk priority number.

10. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the method according to any one of claims 1 to 8.

11. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor of a computer device, it implements the method of any one of claims 1 to 8.

12. A computer program product, the computer program product comprising a computer program, characterized in that, When the computer program is executed by the processor of a computer device, it implements the method of any one of claims 1 to 8.