CN115062979A - Metal roof performance evaluation method and system based on hierarchical analysis and fuzzy evaluation - Google Patents

Metal roof performance evaluation method and system based on hierarchical analysis and fuzzy evaluation Download PDF

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CN115062979A
CN115062979A CN202210692814.0A CN202210692814A CN115062979A CN 115062979 A CN115062979 A CN 115062979A CN 202210692814 A CN202210692814 A CN 202210692814A CN 115062979 A CN115062979 A CN 115062979A
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metal roof
evaluation
area
data
fuzzy
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石岩
杨治国
杨丽曼
王一轩
孙治博
许少峰
王娜
蔡茂林
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Beihang University
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B21/00—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
    • G01B21/02—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring length, width, or thickness
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B7/00—Measuring arrangements characterised by the use of electric or magnetic techniques
    • G01B7/16—Measuring arrangements characterised by the use of electric or magnetic techniques for measuring the deformation in a solid, e.g. by resistance strain gauge
    • G01B7/18—Measuring arrangements characterised by the use of electric or magnetic techniques for measuring the deformation in a solid, e.g. by resistance strain gauge using change in resistance
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q50/08—Construction

Abstract

The invention discloses a method and a system for evaluating metal roof performance based on hierarchical analysis and fuzzy evaluation, wherein the method comprises the following steps: respectively acquiring monitoring index data of the metal roof in different distribution areas of the metal roof, wherein the monitoring index data comprises a longitudinal plastic strain value, a transverse plastic deformation value, a fatigue damage value and a historical failure rate; determining index weight influencing state evaluation of the metal roof based on an analytic hierarchy process by taking position factors of a distribution area where the metal roof is located as area layer indexes and monitoring index data of the metal roof as criterion layer factors; and determining the evaluation grade of the metal roof performance based on a fuzzy comprehensive evaluation method. The invention integrates the regional information of the metal roof and the information of the data acquired by the monitoring system, and realizes regional comprehensive evaluation of the metal roof.

Description

Metal roof performance evaluation method and system based on hierarchical analysis and fuzzy evaluation
Technical Field
The invention relates to the technical field of metal roof performance evaluation, in particular to a metal roof performance evaluation method and system based on hierarchical analysis and fuzzy evaluation.
Background
The metal roof is widely applied to large-span buildings such as stadiums, airports, industrial plants and the like as a novel building material. The metal roof maintenance system is mainly made of cold-formed thin-walled alloy materials, integrates various functions of heat preservation, heat insulation, sound absorption, sound insulation, water resistance, wind resistance and the like, has the advantages of light weight, high strength, convenience and flexibility in construction and the like, and is a new building material.
However, in the actual use process, the metal roof is easily affected by various complex weather conditions, and potential safety hazards exist. By comprehensively analyzing the current common fault types, the following two main reasons for causing the metal roof fault can be found: the reasons of various faults and damage accidents of the metal roof are summarized: on one hand, the design, check and construction standard rules of the domestic metal roof industry have defects, and the uniform standard is not restricted, so that the quality of metal roof products is uneven, certain potential safety hazards exist due to the poor quality of some metal roof panels, and meanwhile, the quality accidents of the metal roof are endless due to the fact that no standard construction method or detection means exist in the construction aspect. On the other hand, the metal roof building is in a complex natural environment for a long time, and the influence of annual corrosion damage and alternate load is carried out on the metal roof building by natural factors such as wind, rain, snow and the like, so that the plastic deformation, bolt loosening and fatigue effect of the metal roof are easily caused, and the performances of wind lift resistance, heat preservation, water resistance and the like of the metal roof system are reduced.
Therefore, the method has important significance for monitoring the health condition of the metal roof in real time, and is also important for scientific assessment of the current health condition and the future remaining life of the metal roof according to monitoring data.
Disclosure of Invention
In view of the above, the invention provides a method and a system for evaluating the performance of a metal roof based on hierarchical analysis and fuzzy evaluation, which integrate the information of the area where the metal roof is located and the information of the data acquired by a monitoring system to perform regional comprehensive evaluation on the metal roof.
In order to achieve the purpose, the invention adopts the following technical scheme:
the metal roof performance evaluation method based on the hierarchical analysis and the fuzzy evaluation comprises the following steps:
respectively acquiring monitoring index data of the metal roof in different distribution areas of the metal roof, wherein the monitoring index data comprises a longitudinal plastic strain value, a transverse plastic deformation value, a fatigue damage value and a historical failure rate;
determining index weight influencing state evaluation of the metal roof based on an analytic hierarchy process by taking position factors of a distribution area where the metal roof is located as area layer indexes and monitoring index data of the metal roof as criterion layer factors;
and determining the evaluation grade of the metal roof performance by a fuzzy comprehensive evaluation method based on the index weight.
Preferably, the different distribution areas of the metal roof comprise a common area, a building outer edge area and a windward area, wherein the common area is the central part of the roof and is less influenced by weather factors, and the building outer edge area and the windward area are sequentially increased under the influence of the weather factors.
Preferably, the specific steps for acquiring the longitudinal plastic strain value are as follows:
the method comprises the following steps of collecting strain data of a metal roof through n strain gauge sensors arranged in the same distribution area, carrying out weighted summation on the data according to the sticking positions of the strain gauges of the metal roof to serve as longitudinal plastic strain values of the area, wherein the calculation formula is as follows:
Y＝a 1 Y 1 +a 2 Y 2 +…+a n Y n
in the formula, Y 1 ,Y 2 ,.....,Y n Time series of strain data acquired for n strain gage sensors, a 1 ,a 2 ,......,a n Is the weight of n regions, and the sum of the total weight is 1.
Preferably, the specific steps of collecting the transverse plastic deformation values are as follows:
the method comprises the following steps of collecting displacement data of a metal roof through n displacement sensors arranged in the same distribution area, weighting and summing the data according to the sticking position of a metal roof strain gauge to obtain a transverse plastic strain value of the area, wherein the calculation formula is as follows:
Z＝b 1 Z 1 +b 2 Z 2 +…+b n Z n
in the formula, Z 1 ,Z 2 ,.....,Z n Time series of strain data acquired for n displacement sensors, b 1 ,b 2 ,......,b n Is the weight of n regions, and the sum of the total weight is 1.
Preferably, the fatigue damage value calculation formula is as follows:
Figure BDA0003700900530000031
wherein k represents the number of cycles that the metal roof bears the cyclic load, H D Represents the cumulative amount of influence of each cyclic stress on the performance of the metal roof, beta i The greater the stress amplitude is, the greater the corresponding weight is, and N is i Is an amplitude of magnitude σ i The corresponding fatigue life of the material under the continuous action of the symmetrical cyclic stress, i.e. the number of stress cycles, σ, at which damage occurs u And setting according to engineering experience values.
Preferably, the historical failure rate calculation formula is as follows:
Figure BDA0003700900530000032
wherein T represents a time period, F i Indicating the number of fault alarms.
Preferably, the method for determining the index weight influencing the state evaluation of the metal roof based on the analytic hierarchy process by taking the position factor of the distribution area where the metal roof is located as the regional layer index and the monitoring index data of the metal roof as the criterion layer factor specifically comprises the following steps:
1) establishing a hierarchical analysis model: taking position factors of a distribution area where the metal roof is located as area layer indexes including a common area, a building outer edge area and a windward area, taking monitoring index data of the metal roof as criterion layer factors including a longitudinal plastic strain value, a transverse plastic deformation value, a fatigue damage value and a historical failure rate, and taking a comprehensive performance evaluation result of the metal roof as a target layer;
2) establishing a factor set and a judgment set:
calculating a factor set according to the number of monitoring indexes in the distribution area;
dividing the comprehensive performance evaluation result of the metal roof into five grades as an evaluation set;
3) determining the index weight: and establishing a comparison matrix based on the monitoring index data of the metal roof corresponding to each distribution area, and determining the weight of the longitudinal plastic strain value, the transverse plastic deformation value, the fatigue damage value and the historical failure rate.
Preferably, the step of determining the evaluation grade of the metal roof performance based on the fuzzy comprehensive evaluation method specifically comprises the following steps:
judging specific grades of longitudinal plastic strain values, transverse plastic deformation values, fatigue damage values and historical failure rates of different distribution areas of the metal roof, respectively defining scores for the grades, and establishing a membership matrix;
and multiplying the membership matrix and the index weight to determine the evaluation grade of the metal roof performance.
Metal roofing performance evaluation system based on hierarchical analysis and fuzzy evaluation includes: the device comprises a data acquisition module, a data processing module and a performance evaluation module;
the data acquisition module is used for respectively acquiring monitoring data of the metal roof in different distribution areas of the metal roof, wherein the monitoring data comprises a longitudinal plastic strain value, a transverse plastic deformation value, a fatigue damage value and a historical failure rate;
the data processing module is used for determining index weight influencing the state evaluation of the metal roof based on an analytic hierarchy process by taking the position factor of a distribution area where the metal roof is located as a regional layer index and the monitoring data of the metal roof as a criterion layer factor;
and the performance evaluation module determines the performance evaluation level of the metal roof based on a fuzzy comprehensive evaluation method.
According to the technical scheme, compared with the prior art, the invention discloses a method and a system for evaluating the performance of the metal roof based on hierarchical analysis and fuzzy evaluation, the hierarchical analysis method and the fuzzy comprehensive evaluation method are combined, the position factor of the area where the metal roof is located is combined with the monitoring amount acquired by a metal roof monitoring system, the isomerism and the distribution characteristics of the sensor are fully considered, and the longitudinal strain information, the transverse displacement information, the failure alarm frequency and the fatigue accumulated damage condition of the metal roof acquired by the heterogeneous sensor are taken as main factors for evaluating the degradation process of the metal roof in the utilization process of the isomerism information, so that the performance of the metal roof is comprehensively evaluated. In the aspect of health assessment of the metal roof system, the analytic hierarchy process can well utilize a plurality of indexes, comprises all sensor information in the whole monitoring system, and assesses the health condition of the metal roof system.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a schematic flow chart of a metal roof performance evaluation method based on hierarchical analysis and fuzzy evaluation provided by the invention.
FIG. 2 is a schematic diagram of a hierarchical analysis model according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of the invention discloses a metal roof performance evaluation method based on hierarchical analysis and fuzzy evaluation, which comprises the following steps of:
the method comprises the following steps: and determining the evaluation index of the metal roof, and further respectively collecting monitoring data of the metal roof in different distribution areas of the metal roof.
In the construction process of the metal roof online monitoring system, strain gauges and displacement sensors are installed in different regions of a metal roof, strain and displacement information of different parts of the metal roof enclosure system is measured respectively to reflect performance indexes of the different regions of the metal roof, a fatigue performance index of the metal roof is established, while the performance indexes are considered, the distribution region of the metal roof is also one of considered factors, the distribution region of the metal roof can be divided into three parts, namely a common region, a building outer edge region and a windward surface region, wherein the common region is a central part of the roof and is slightly influenced by weather factors, the building outer edge region and the windward surface region are sequentially increased under the influence of the weather factors, monitoring data and position factors of the metal roof are fully considered when the metal roof is subjected to degradation grade division, and the metal roof grade is determined through the indexes of the two aspects, when the rating of the metal roof is low, the areas with serious performance degradation of the metal roof can be maintained and replaced in a targeted manner.
According to the distribution condition of the monitoring system in the actual use process, the following metal roof evaluation indexes are generally defined by combining the data which can be acquired:
(1) longitudinal plastic strain of metal roof
The metal roof has the advantages that the strain gauge is arranged on the surface of the metal roof, the longitudinal strain condition of the metal roof board can be measured, the strain capacity of the metal roof under the static state is the plastic strain of the metal roof, the plastic strain reflects the plastic deformation condition of the metal roof, under the normal condition, the metal roof is made of linear elastic materials, the metal roof under the action of external loads such as wind load and the like can restore the original state, namely, the plastic strain does not exist, when the metal roof is under the condition of long-term alternating load, the metal roof can generate plastic deformation and cannot restore to the original state, the external load resistance of the metal roof is reduced, and therefore the plastic strain residual quantity of the strain gauge is selected as one of the standards for measuring the metal roof degradation performance.
The plastic strain of the metal roof is calculated by acquiring data through the strain gauge, the evaluation of the metal roof is carried out in different areas, n strain gauges are arranged in the same area to acquire the strain of the metal roof, in the acquisition process, the data are weighted and summed according to the sticking position of the strain gauge of the metal roof to serve as the longitudinal plastic strain value of the area, and the data measured on the windward side and the outer edge area of the building occupy higher weight because the load borne by the area is larger. Meanwhile, the data when the weather is fine is selected for evaluation in the data acquisition process, and the data fluctuation caused by the weather condition in a large range is prevented. Time series Y of strain data acquired for a plurality of sensors in the general case 1 ,Y 2 ,.....,Y n Then, the calculation formula of the comprehensive longitudinal plastic strain value of the region is as follows:
Figure BDA0003700900530000071
a 1 ,a 2 ,......,a n the weights of the n regions are divided according to different acquisition regions, the important monitoring region can be adjusted to have higher weight, and the sum of the total weights is 1.
According to the method, the difference value of the time sequences obtained from the end of the evaluation period and the beginning of the evaluation period is calculated, the difference value time sequence of the metal roof plastic deformation in the evaluation period is obtained, and the average value of the difference value time sequence is calculated to be used as a plastic strain value to evaluate the plastic strain condition of the metal roof.
At present, according to some researches, the metal roof can be considered to be invalid if the strain value of the metal roof exceeds 0.05, so that the longitudinal plastic strain state of the metal roof can be classified into 1 grade according to the calculated longitudinal plastic strain value data: 0-0.01, grade 2: 0.01-0.02, grade 3: 0.02-0.03,4 stage: 0.03-0.04, grade 5: 0.04 or more. Generally, the higher the grade number is, the higher the degradation degree of the metal roof is, the plastic deformation of the metal roof reaching the grade five or more can seriously reduce various performances of the metal roof, such as wind uncovering resistance, and the like, and the maintenance and the replacement need to be considered.
(2) Transverse plastic deformation of metal roof
In the metal roof online monitoring system, the transverse plastic deformation of the metal roof is also an important index for metal roof online monitoring, and meanwhile, along with the prolonging of the service time of the metal roof, the transverse plastic deformation of the metal roof can also be used as an important reference index for evaluating a metal roof performance degradation model to have important influence on the performance degradation of the metal roof, and the overlarge transverse plastic deformation can also influence the external load resistance of the metal roof, similarly to the longitudinal plastic strain. According to current research, the amount of plastic deformation generally allowed by engineering is 10% of the length of material used, so 10% of the length of metal roofing panels is chosen as the threshold for failure.
When the plastic deformation of the metal roof is analyzed, the weighted average value of the data collected by the displacement sensor in the evaluation area is also selected as evaluation data, and the calculation formula is as follows:
Z＝b 1 Z 1 +b 2 Z 2 +…+b n Z n
in the formula, Z 1 ,Z 2 ,.....,Z n Time series of strain data acquired for n displacement sensors, b 1 ,b 2 ,......,b n The weights of the n regions are obtained, the sum of the total weights is 1, and Z is the weight of the strain data acquired by the displacement sensor.
The method calculates the average value of the time sequence difference values of the transverse plastic displacement of the metal roof at the beginning and the end of the evaluation period, and carries out grading evaluation on the transverse plastic displacement of the metal roof. The specific grading conditions can be analyzed in combination with the actual plate length according to the failure proportion.
(3) Fatigue damage
In the selection process of the fatigue damage index, the fatigue damage cumulative value H can be adopted D As an evaluation criterion, according to the linear damage accumulation criterion, the following formula is used for calculation:
Figure BDA0003700900530000081
wherein k represents the number of cycles that the metal roof bears the cyclic load, H D The cumulative amount of the effect of each cyclic stress on the performance of the metal roofing is expressed. Beta is a i And the larger the stress amplitude is, the larger the corresponding weight is, the weight corresponding to the damage amount corresponding to the ith deformation is. N is a radical of i Is an amplitude of magnitude σ i The fatigue life of the corresponding material under the continuous action of the symmetrical cyclic stress, namely the number of stress cycles of damage. Sigma u The value is usually set to 200kpa according to engineering experience. The fatigue damage of the metal roof can be classified into 1 grade: 0-0.2, grade 2: 0.2-0.4, grade 3: 0.4-0.6,4 stage: 0.6-0.8, grade 5: 0.8-1.
(4) Historical failure rate
Usually, the faults encountered in the metal roof monitoring process are recorded, so that the fault types and the fault occurrence time can be traced back in the following process, and therefore, the fault rate of a monitoring area can be selected as one of indexes for evaluating the health condition of the metal roof.
Historical failure rate is defined as H p Is defined asComprises the following steps:
Figure BDA0003700900530000091
the historical fault rate indicates the fault early warning quantity F in the time period T i And according to F i The size of the metal roof is used for grading the historical failure rate of the metal roof when the fault rate is H p <1/month is grade 1, when 1/month<H p <Grade 2 for 1/week, when 1/week<H p <1/month is grade 3, when 1/day<H p <1/hr is 4 stages, when H p >1/hour is 5 grades.
Step two: determining index weight based on analytic hierarchy process
(1) Establishing a hierarchical analysis model
The performance evaluation of the metal roof by using the analytic hierarchy process aims to give the weight influencing each index of the metal roof on the premise of artificially determining the importance degree of each index, thereby comprehensively considering each factor influencing the performance of the metal roof and comprehensively evaluating the state of the metal roof. In the hierarchical analysis process, all indexes influencing the performance evaluation result of the metal roof are required to be divided into a target layer, a regional layer and a criterion layer. Taking the position factor of the area where the metal roof is as the index of the regional layer, wherein the index comprises a common area D 1 Outer edge zone D of the building 2 And windward side region D 3 . Taking an evaluation index based on monitoring data as a criterion layer factor, wherein the evaluation index comprises the plastic strain y of the metal roof z Transverse plastic deformation y h Fatigue damage H D And failure alarm rate H p 。
(2) Establishing a factor set and a judgment set
A factor set: the method is determined according to the number of indexes in the area, and the method is divided into three areas, wherein each area has four indexes, and the total number of the indexes is 12.
And (4) judging set: the comprehensive performance evaluation result of the metal roof is divided into five grades, and the performance is gradually reduced along with the increase of the grades, so that the I-grade performance is optimal, and the V-grade performance is lowest.
(3) Determining an index weight
The influence of each factor on the evaluation result can be quantitatively calculated by using an analytic hierarchy process under the condition of adding human factors, and the influence weight of each factor on the evaluation result is given, so that the complex problem which is difficult to solve by using a quantitative method is decided. When the performance indexes of the metal roof are evaluated, the position of the metal roof and various monitoring indexes of the metal roof need to be comprehensively considered.
In order to determine the index weight, firstly, a contrast matrix needs to be constructed, and matrix scales need to be defined, wherein scale 1 represents that two factors have the same importance, scale 3 represents that two factors are slightly more important than the latter, scale 5 represents that two factors are obviously more important than the latter, scale 7 represents that two factors are strongly more important than the latter, scale 9 represents that two factors are extremely more important than the latter, and 2,4,6 and 8 represent intermediate values of importance degree between the judgments of the above stages. According to the condition that each area corresponds to four monitoring indexes and three roof distribution areas, the importance scales of the areas are respectively shown in the following tables 1 and 2:
TABLE 1 layer evaluation index importance Scale
Figure BDA0003700900530000101
TABLE 2 roofing location importance Scale
Figure BDA0003700900530000102
From the table above, a comparison matrix a can be obtained, and based on the properties of the matrix, AW ═ λ can be obtained max W,λ max Representing the maximum characteristic value, determining the weight of each index, and obtaining the total weight of each factor by multiplying the two levels of partial weights to obtain the importance scale matrix of the target layer to the regional layer
Figure BDA0003700900530000103
And importance scale matrix of region layer to criterion layer
Figure BDA0003700900530000104
Then, the weight index of the target layer relative to the criterion layer can be obtained by calculating the product of the two layers of weight indexes; and normalizing the weight vector W to obtain the weight which finally influences each index of the metal roof performance evaluation.
By combining the above table and the characteristic value calculation method of the matrix, the weight index of the metal roof state evaluation influence of different fault forms in different regions of the metal roof can be obtained, and the index is quantitative description of influence factors.
Step three: determination of evaluation grade by fuzzy comprehensive evaluation method
In order to comprehensively evaluate the evaluation results of various evaluation indexes to obtain a final evaluation result, the state of the metal roof is finally evaluated by using a fuzzy comprehensive evaluation method, each monitoring index of the metal roof is divided into five grades, for the convenience of carrying out fuzzy evaluation on the metal roof, the five grades are respectively corresponding to 0.1-0.9, and the final rating of the metal roof is determined by scoring. Level 1 is defined as 0.9, level 2 as 0.7, level 3 as 0.5, level 4 as 0.3 and level 5 as 0.1.
According to the indexes, establishing a membership function:
Figure BDA0003700900530000111
the method comprises the following steps that n is an evaluation factor, each of the general areas, the building outer edge areas and the windward area is provided with 4 evaluation indexes, so that n is 12, and m is the evaluation grade number.
And the comprehensive evaluation grade B of the metal roof is obtained by multiplying the weighting factor W and the membership matrix, wherein B is WR, and the grade with the highest proportion in the grade B is the final evaluation result of the metal roof.
And obtaining the final evaluation grade of the metal roof through calculation and comprehensive comparison.
In an embodiment, a performance evaluation system corresponding to the metal roof performance evaluation method based on hierarchical analysis and fuzzy evaluation is disclosed, which includes: the device comprises a data acquisition module, a data processing module and a performance evaluation module;
the data acquisition module is used for respectively acquiring monitoring data of the metal roof in different distribution areas of the metal roof, wherein the monitoring data comprises a longitudinal plastic strain value, a transverse plastic deformation value, a fatigue damage value and a historical failure rate;
the data processing module is used for determining index weight influencing the state evaluation of the metal roof based on an analytic hierarchy process by taking the position factor of a distribution area where the metal roof is located as a regional layer index and the monitoring data of the metal roof as a criterion layer factor;
and the performance evaluation module determines the performance evaluation level of the metal roof based on a fuzzy comprehensive evaluation method.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (9)

1. The metal roof performance evaluation method based on the hierarchical analysis and the fuzzy evaluation is characterized by comprising the following steps of:
respectively acquiring monitoring index data of the metal roof in different distribution areas of the metal roof, wherein the monitoring index data comprises a longitudinal plastic strain value, a transverse plastic deformation value, a fatigue damage value and a historical failure rate;
determining index weight influencing state evaluation of the metal roof based on an analytic hierarchy process by taking position factors of a distribution area where the metal roof is located as area layer indexes and monitoring index data of the metal roof as criterion layer factors;
and determining the evaluation grade of the metal roof performance by a fuzzy comprehensive evaluation method based on the index weight.
2. The metal roof performance evaluation method based on hierarchical analysis and fuzzy evaluation according to claim 1, wherein the different distribution areas of the metal roof include a common area, a building outer edge area and a windward area, wherein the common area is a central part of the roof and is less influenced by weather factors, and the building outer edge area and the windward area are sequentially increased by the influence of the weather factors.
3. The metal roof performance evaluation method based on hierarchical analysis and fuzzy evaluation according to claim 1, wherein the specific steps of collecting longitudinal plastic strain values are as follows:
the method comprises the following steps of collecting strain data of a metal roof through n strain gauge sensors arranged in the same distribution area, carrying out weighted summation on the data according to the sticking positions of the strain gauges of the metal roof to serve as longitudinal plastic strain values of the area, wherein the calculation formula is as follows:
Y＝a 1 Y 1 +a 2 Y 2 +…+a n Y n
in the formula, Y 1 ,Y 2 ,.....,Y n Time series of strain data acquired for n strain gage sensors, a 1 ,a 2 ,......,a n Is the weight of n regions, and the sum of the total weight is 1.
4. The metal roof performance evaluation method based on hierarchical analysis and fuzzy evaluation according to claim 1, wherein the specific steps of collecting the transverse plastic deformation values are as follows:
the method comprises the following steps of collecting displacement data of a metal roof through n displacement sensors arranged in the same distribution area, weighting and summing the data according to the sticking position of a metal roof strain gauge to obtain a transverse plastic strain value of the area, wherein the calculation formula is as follows:
Z＝b 1 Z 1 +b 2 Z 2 +…+b n Z n
in the formula, Z 1 ,Z 2 ,.....,Z n Time series of strain data acquired for n displacement sensors, b 1 ,b 2 ,......,b n Is the weight of n regions, and the sum of the total weight is 1.
5. The metal roof performance evaluation method based on the hierarchical analysis and the fuzzy evaluation according to claim 1, wherein a fatigue damage value calculation formula is as follows:
Figure FDA0003700900520000021
wherein k represents the number of cycles that the metal roof bears the cyclic load, H D Represents the cumulative amount of the effect of each cyclic stress on the performance of the metal roof, beta i The ith deformation corresponds to the weight of the damage quantity, the larger the stress amplitude is, the larger the corresponding weight is, and N is i Is an amplitude of magnitude σ i The corresponding fatigue life of the material under the continuous action of the symmetrical cyclic stress, i.e. the number of stress cycles, σ, at which damage occurs u And setting according to engineering experience values.
6. The metal roof performance evaluation method based on hierarchical analysis and fuzzy evaluation according to claim 1, wherein a historical failure rate calculation formula is as follows:
Figure FDA0003700900520000022
wherein T represents a time period, F i Indicating the number of fault alarms.
7. The metal roof performance evaluation method based on hierarchical analysis and fuzzy evaluation according to claim 1, wherein a position factor of a distribution area where the metal roof is located is used as an area level index, monitoring index data of the metal roof is used as a criterion level factor, and an index weight influencing the metal roof state evaluation is determined based on an analytic hierarchy process, specifically comprising:
1) establishing a hierarchical analysis model: taking position factors of a distribution area where the metal roof is located as area layer indexes including a common area, a building outer edge area and a windward area, taking monitoring index data of the metal roof as criterion layer factors including a longitudinal plastic strain value, a transverse plastic deformation value, a fatigue damage value and a historical failure rate, and taking a comprehensive performance evaluation result of the metal roof as a target layer;
2) establishing a factor set and a judgment set:
calculating a factor set according to the number of monitoring indexes in the distribution area;
dividing the comprehensive performance evaluation result of the metal roof into five grades as an evaluation set;
3) determining the index weight: and establishing a comparison matrix based on the monitoring index data of the metal roof corresponding to each distribution area, and determining the weights of the longitudinal plastic strain value, the transverse plastic deformation value, the fatigue damage value and the historical failure rate.
8. The metal roof performance evaluation method based on hierarchical analysis and fuzzy evaluation according to claim 1, wherein the step of determining the evaluation level of the metal roof performance based on the fuzzy comprehensive evaluation method specifically comprises the steps of:
judging specific grades of longitudinal plastic strain values, transverse plastic deformation values, fatigue damage values and historical failure rates of different distribution areas of the metal roof, respectively defining scores for the grades, and establishing a membership matrix;
and multiplying the membership matrix and the index weight to determine the evaluation grade of the metal roof performance.
9. Metal roofing performance evaluation system based on hierarchical analysis and fuzzy evaluation, its characterized in that includes: the device comprises a data acquisition module, a data processing module and a performance evaluation module;
the data acquisition module is used for respectively acquiring monitoring data of the metal roof in different distribution areas of the metal roof, wherein the monitoring data comprises a longitudinal plastic strain value, a transverse plastic deformation value, a fatigue damage value and a historical failure rate;
the data processing module is used for determining index weight influencing the state evaluation of the metal roof based on an analytic hierarchy process by taking the position factor of a distribution area where the metal roof is located as a regional layer index and the monitoring data of the metal roof as a criterion layer factor;
and the performance evaluation module determines the performance evaluation level of the metal roof based on a fuzzy comprehensive evaluation method.
CN202210692814.0A 2022-06-17 2022-06-17 Metal roof performance evaluation method and system based on hierarchical analysis and fuzzy evaluation Pending CN115062979A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116224854A (en) * 2022-12-27 2023-06-06 中冶建筑研究总院有限公司 Industrial building structure soot load passive monitoring and evaluating system and method thereof

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116224854A (en) * 2022-12-27 2023-06-06 中冶建筑研究总院有限公司 Industrial building structure soot load passive monitoring and evaluating system and method thereof
CN116224854B (en) * 2022-12-27 2023-11-17 中冶建筑研究总院有限公司 Industrial building structure soot load passive monitoring and evaluating system and method thereof

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