Super high-rise building operation and maintenance event grading early warning evaluation method

Abstract

A super high-rise building operation and maintenance event grading early warning evaluation method comprises the following steps: carrying out risk area division based on occurrence consequence severity S, occurrence frequency O and detectability D of a super high-rise building operation and maintenance event, and establishing an operation and maintenance event grading early warning evaluation model according to area division early warning grades; and according to fault and maintenance records of each device / component of the super high-rise building, statistical analysis is carried out to obtain operation and maintenance event S, O and D values of faults or failures of each device / component, and then graded early warning is carried out based on the model. According to the method, an effective and feasible quantitative evaluation method can be provided for graded early warning of the operation and maintenance events of the super high-rise building.

Description

Technical Field

[0001] The present invention relates to the field of hierarchical early warning, and particularly to a method for evaluating hierarchical early warning of operation and maintenance events in super high-rise buildings. Background Art

[0002] Super high-rise buildings often have characteristics such as complex external structures, extremely high vertical heights, extremely large spatial volumes, multi-purpose building functions, a huge number of occupants, dense passing traffic, a large amount of facility management, and complex energy supply. Therefore, there are various problems that are difficult to properly solve, such as safety, internal transportation, environment, and energy consumption. The higher the building goes, the more problems there are in terms of safety, durability, and comfort, and the higher the requirements for specialties such as structure, architecture, mechanical and electrical, HVAC, and elevators. Correspondingly, a series of new problems are brought to the operation and maintenance management of super high-rise buildings, such as how to control facilities, how to optimize energy, and how to carry out emergency prevention. These problems that are relatively mature in horizontal area management have new problems under the new boundary conditions of super high-rises. Aiming at the key problems commonly existing in operation and maintenance data early warning, such as low efficiency and poor accuracy in identifying operation states, and it is difficult to achieve on-demand matching and refined control in terms of functions, it is necessary to carry out research on early warning technologies for operation and maintenance functional events in super high-rise buildings. Summary of the Invention

[0003] The present disclosure provides a method for evaluating hierarchical early warning of operation and maintenance events in super high-rise buildings, including the following steps:

[0004] S1. Establish a hierarchical early warning evaluation model for operation and maintenance events in super high-rise buildings, including:

[0005] S11. Use the Risk Priority Number (RPN) as the comprehensive evaluation index for hierarchical early warning of operation and maintenance events in super high-rise buildings. The evaluation indexes involved in the Risk Priority Number (RPN) include: the severity S of the consequences of the operation and maintenance event, the occurrence frequency O, and the detectability D;

[0006] S12. Determine the evaluation scores for different severities S, different occurrence frequencies O, and different detectabilities D;

[0007] S13. Divide the risk levels according to the scores of the evaluation indexes;

[0008] S2. Evaluate the severity of the consequences, occurrence frequency, and detectability of each operation and maintenance event in the super high-rise building, determine the corresponding scores according to step S12, and then determine the priority levels of early warning and handling according to the risk level division in step S13.

[0009] Compared with the prior art, the beneficial effects of the present disclosure are as follows: (1) Provide a hierarchical early warning method for operation and maintenance events of super high-rise buildings. By determining the severity, occurrence frequency, and detectability of the consequences of operation and maintenance events, the risk level is determined. For different partitions, the early warning priority is determined, providing guidance for early warning of super high-rise buildings; (2) Combine fault alarms and daily operation and maintenance information to form failure modes and statistical data to achieve fault early warning; (3) Based on the theory of reliability, it can cross systems and evaluate the consistency of the early warning method; (4) Set different monitoring relationship chains for hierarchical evaluation and hierarchical early warning. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] The above and other objects, features, and advantages of the present disclosure will become more apparent by describing the exemplary embodiments of the present disclosure in more detail with reference to the accompanying drawings, wherein, in the exemplary embodiment mode of the present disclosure, the same reference numerals generally represent the same components.

[0011] Figure 1 Schematic diagram of evaluation index partition according to an exemplary embodiment of the present disclosure;

[0012] Figure 2 Exemplary hierarchical early warning flowchart;

[0013] Figure 3 Exemplary hierarchical early warning diagram. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0014] The preferred embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the preferred embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to make the present disclosure more thorough and complete, and to fully convey the scope of the present disclosure to those skilled in the art.

[0015] The present disclosure provides a hierarchical early warning evaluation method for operation and maintenance events of super high-rise buildings. In an exemplary embodiment, it is mainly graded according to the risk priority number RPN of operation and maintenance events, mainly involving three dimensions: severity S (Severity) of the consequences, occurrence frequency O (Occurrence), and detectability D (Detection), where:

[0016] First, consider the value of S, that is, the severity after equipment failure or malfunction. Generally, it is considered that this value cannot be reduced by measures, and what can be controlled are the values of O and D.

[0017] Secondly, consider O, that is, the occurrence frequency, which is a measure of the effectiveness of preventive control;

[0018] Finally, consider D, that is, the detectability, which is related to the most effective detection control;

[0019] Then, comprehensively determine the risk level according to S, O, and D, which can be divided into 4 regions, namely the high severity region, the high hazard region, the high risk region, and the standard characteristic region;

[0020] Combined with the characteristics of building operation and maintenance, the hierarchical early warning mechanism is divided into red, orange, and yellow early warnings.

[0021] Specifically, it includes the following steps:

[0022] 1. Establish a hierarchical early warning evaluation model

[0023] (1) Determine the evaluation value of the severity S of the consequences of the event

[0024] Used to evaluate the severity of the impact consequences of potential failures or failure modes on the system or components. Generally, it is divided into 1 - 10 levels, ranging from no failure consequences to severe hazard consequences without warning. The value range is recommended as shown in Table 1.

[0025] Table 1 Evaluation values of severity S

[0026]

[0027] (2) Occurrence frequency O

[0028] The occurrence frequency O is used to evaluate the frequency of occurrence of specific failure or failure causes / mechanisms, divided into 1 - 10 levels, ranging from almost impossible to occur to almost inevitable. The value range is recommended as shown in Table 2.

[0029] Table 2 Evaluation parameters of occurrence degree (OPR)

[0030]

[0031] Note: λ is the basic failure rate of the equipment.

[0032] (3) Detectability D

[0033] The detectability is used to represent the degree of non - detectability of the cause or mechanism of a failure or failure, divided into 1 - 10 levels, ranging from almost certain to almost impossible to detect. The value range is recommended as shown in Table 3.

[0034] Table 3 Evaluation parameters of detectability (D)

[0035]

[0036]

[0037] (4) Divide the risk regions of the evaluation indicators, as shown in the appendix Figure 1 as follows:

[0038] 1) Region I: High severity region, S = 9 or 10;

[0039] 2) High-hazard area in Zone II, S = 5 - 8, O > 3;

[0040] 3) High-risk area in Zone III, RPN > 100 and not belonging to Zone I or II;

[0041] Among them, the risk level RPN = Severity S × Occurrence frequency O × Detectability D.

[0042] 4) Standard characteristics area in Zone IV.

[0043] (5) Classify the early warning levels according to the area, and the process is as shown in the appendix Figure 2 as follows. Among them:

[0044] 1) Red early warning, high priority (H), the highest priority for review and measures. The team must identify appropriate measures to improve preventive and / or detective controls, and prove and record why the current controls are effective enough.

[0045] 2) Orange early warning, medium priority (M), medium priority for review and measures. The team should identify appropriate measures to improve preventive and / or detective controls, or prove and record that the current controls are effective enough.

[0046] 3) Yellow early warning, low priority (L), low priority for review and measures. The team can identify measures to improve preventive or detective controls.

[0047] (6) It is also possible to make a more detailed level classification according to the above indicators, as shown in Table 4:

[0048] Table 4 Classification early warning and its corresponding measures

[0049]

[0050]

[0051] 2. Assign values to the severity S, occurrence frequency O, and detectability D of the operation and maintenance events of the failures or malfunctions of various equipment / components in the super high-rise building. It is necessary to comprehensively query the failure and maintenance records of the equipment or components, as well as query the system situation where they are located, and conduct sorting and analysis, and calculate and obtain the results through statistical calculation.

[0052] Then use the above classification early warning evaluation model for classification early warning.

[0053] The above technical solutions are only exemplary embodiments of the present invention. For those skilled in the art, based on the application methods and principles disclosed in the present invention, it is very easy to make various types of improvements or deformations, not limited to the methods described in the above specific embodiments of the present invention. Therefore, the above-described manner is only preferred and does not have a restrictive meaning.

Claims

1. A hierarchical early warning assessment method for super high-rise building operation and maintenance events, comprising the following steps: S1. Establish a hierarchical early warning assessment model for super high-rise building operation and maintenance events, including: S11, using the risk priority number RPN as a comprehensive evaluation indicator for graded warning of super-high-rise operation and maintenance events, wherein the evaluation indicators involved in the risk priority number RPN include: severity S, frequency O and detectability D of the occurrence of the operation and maintenance event; S12, determining the evaluation scores of different severity levels S, the evaluation scores of different occurrence frequencies O, and the evaluation scores of different detectability D; S13, classify the risk levels according to the scores of the evaluation indicators; S2, evaluate the severity, frequency and detectability of the consequences of various operation and maintenance events of super high-rise buildings, determine the corresponding scores according to step S12, and then determine the priority of early warning and processing according to the risk level classification in step S13.

2. The method according to claim 1, characterized in that In step S12, the evaluation scores of different severity levels S include:

3. The method according to claim 1, characterized in that In step S12, the evaluation scores of different occurrence frequencies O include: Among them, λ is the basic failure rate of the equipment.

4. The method according to claim 1, characterized in that: In step S12, the evaluation scores of different detectability D include:

5. The method according to any one of claims 1 to 4, characterized in that: A risk level classification method in step S13 includes: (1) Zone I, high severity zone: S = 9 or 10; (2) Zone II, high hazard zone: S = 5-8, O > 3; (3) Zone III, high-risk zone: RPN>100 and not belonging to zones I or II; Where, RPN = S × O × D; (4) Zone IV, standard characteristics zone; Among them, in the absence of designation by the operator, operation and maintenance events in the high severity area and high hazard area are included in the red warning; those in the high risk area are included in the orange warning; other operation and maintenance events are included in the yellow warning.

6. The method according to any one of claims 1 to 4, characterized in that: A risk level classification method in step S13 includes: Among them, priority H is included in the red warning; Priority M is included in the orange warning; Priority L is included in the yellow warning.

7. The method according to claim 1, characterized in that In step S2, the severity, frequency and detectability of the consequences of various operation and maintenance events in super high-rise buildings are evaluated, and the method includes: comprehensively querying the failure and maintenance records of equipment or components, and querying the system conditions, and conducting sorting and analysis to obtain statistical calculations.

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