CN116362617A - Pump gate operation safety assessment method and system and electronic equipment - Google Patents

Pump gate operation safety assessment method and system and electronic equipment Download PDF

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CN116362617A
CN116362617A CN202310348686.2A CN202310348686A CN116362617A CN 116362617 A CN116362617 A CN 116362617A CN 202310348686 A CN202310348686 A CN 202310348686A CN 116362617 A CN116362617 A CN 116362617A
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邓鹏�
张诗媛
宋桂华
王旭滢
刘凯峰
滕彦
胡美璇
廖雨豪
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Shanghai Investigation Design and Research Institute Co Ltd SIDRI
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Abstract

The application provides a pump brake operation safety assessment method, a system and electronic equipment, wherein the pump brake operation safety assessment method comprises the following steps: acquiring each level of index in a pump brake operation safety evaluation index system; acquiring comprehensive evaluation of each nth level index; the comprehensive evaluation of each n-1 index is obtained by utilizing an analytic hierarchy process and an entropy weight process and combining the comprehensive evaluation of the n-1 index under the same n-1 index; and the analytic hierarchy process and the entropy weight process are adopted circularly, and the comprehensive evaluation of the next level index under the same index is combined to obtain the comprehensive evaluation of the previous level index corresponding to each next level index until the dynamic score of the operation safety of the pump brake is obtained. In the method, the index system is divided into the indexes of the pump brake system, and according to real-time monitoring data and operation management, the indexes of each level and the grading and development trend of the whole pump brake operation are analyzed, so that the operation safety of the pump brake can be accurately evaluated, and the operation safety and the comprehensiveness of the pump brake are improved.

Description

Pump gate operation safety assessment method and system and electronic equipment
Technical Field
The application belongs to the technical field of engineering operation management, and particularly relates to a pump brake operation safety assessment method, a system and electronic equipment.
Background
The floodgate and the pump station play a role in flood control, water supply, power generation, irrigation and other functions, the floodgate and the pump station often influence the water conditions in the upstream and downstream wide areas, the running state of the floodgate and the pump station often relates to the water conservancy safety in the watershed, the safety risks existing in the running management of the existing floodgate and the pump station are complex, the risks of the hydraulic building and the risks of the electromechanical equipment exist, the running management system and the system are also risks, the running safety is difficult to reasonably quantify, and the pump gate can possibly cause 'sickness' running.
Aiming at pump gate operation safety evaluation, only hydraulic buildings are focused in the past, and other safety risks are not paid attention to enough, so that potential risks in engineering operation management are ignored, and the operation safety evaluation method and the index system are not comprehensive enough and have insufficient applicability, so that the current situation of pump gate operation management cannot be evaluated scientifically.
Disclosure of Invention
The purpose of the application is to provide a pump brake operation safety assessment method, a system and electronic equipment, which are used for solving the problem that the operation safety cannot be quantified in pump brake operation management, so as to accurately grade the index of the operation management and realize accurate assessment of the pump brake operation safety.
In a first aspect, the present application provides a pump brake operation safety assessment method, the method comprising: acquiring each level of index in a pump brake operation safety evaluation index system; wherein, any upper level index comprises at least one lower level index, and any lower level index corresponds to one upper level index; acquiring comprehensive evaluation of each nth level index; wherein the nth level index is the last level index; the comprehensive evaluation of each n-1 index is obtained by utilizing an analytic hierarchy process and an entropy weight process and combining the comprehensive evaluation of the n-1 index under the same n-1 index; and the analytic hierarchy process and the entropy weight process are adopted circularly, and the comprehensive evaluation of the next level index under the same index is combined to obtain the comprehensive evaluation of the previous level index corresponding to each next level index until the dynamic score of the operation safety of the pump brake is obtained.
In the method, the index system is divided into the indexes of the pump brake system, and according to real-time monitoring data and operation management, the indexes of each level and the grading and development trend of the whole pump brake operation are analyzed, so that the operation safety of the pump brake can be accurately evaluated, and the operation safety and the comprehensiveness of the pump brake are improved.
In an implementation manner of the first aspect, the obtaining a comprehensive evaluation of each nth level index includes: acquiring qualitative indexes and quantitative indexes corresponding to the nth level indexes; for each nth level index, acquiring qualitative evaluation of the nth level index according to the qualitative index; quantitative evaluation of an nth level index is obtained according to the quantitative index; and linearly combining the qualitative evaluation with the quantitative evaluation based on an empirical value to obtain a comprehensive evaluation of the nth level index.
In an implementation manner of the first aspect, for each nth level index, the obtaining a qualitative rating of the nth level index according to the qualitative index includes: performing fuzzy evaluation on the qualitative indexes according to the empirical values to obtain a fuzzy comprehensive evaluation matrix of the qualitative indexes; comparing importance weights of the qualitative indexes under the same n-th level index in pairs to obtain a comparison judgment matrix; normalizing the comparison and judgment matrix to obtain subjective weight of each qualitative index; combining the subjective weight and the fuzzy evaluation matrix to obtain the membership degree of each qualitative index under the same comment; and acquiring qualitative evaluation of the nth level index by combining the membership degree and preset scores of different comments.
Further, before the normalization processing is performed on the comparison and judgment matrix to obtain the subjective weight of each qualitative indicator, the method further includes: performing consistency check on the judgment matrix, and executing the next step if the consistency check result is smaller than a check threshold; otherwise, carrying out pairwise comparison on the importance weights of the qualitative indexes under the same nth level index again to obtain a comparison judgment matrix; and repeatedly carrying out consistency check on the comparison judgment matrix until the check result is smaller than the check threshold value.
In an implementation manner of the first aspect, for each nth level indicator, the obtaining the quantitative evaluation of the nth level indicator according to the quantitative indicator includes: acquiring a threshold interval corresponding to the quantitative index; acquiring monitoring data of the quantitative index; comparing the monitoring data with the threshold interval, and obtaining a scoring matrix of the quantitative index by using a ratio method; acquiring objective weights of the quantitative indexes based on the scoring matrix; and combining the scoring matrix and the objective weight to obtain quantitative evaluation of the nth grade index.
Further, the obtaining the objective weight of the quantitative indicator based on the scoring matrix includes the steps of: normalizing the scoring matrix to obtain a normalized matrix; calculating the proportion of the quantitative index in all indexes of an nth level, and acquiring the information entropy of the quantitative index based on the proportion; and obtaining the objective weight of the quantitative index according to the information entropy.
In an implementation manner of the first aspect, the obtaining the comprehensive evaluation of each n-1-th level index by using a hierarchical analysis method and an entropy weight method and combining the comprehensive evaluation of the n-1-th level index under the same n-1-th level index includes: comparing importance weights of the n-th level indexes under the same n-1 level index by using an analytic hierarchy process to obtain a comparison judgment matrix, and further obtaining subjective weights of the n-1 level indexes; obtaining objective weights of the same n-1 level index by using an entropy weight method; and linearly combining the subjective weight and the objective weight based on an experience value, and acquiring the comprehensive evaluation of the nth level index by combining the comprehensive evaluation score of the nth level index under the same nth level index.
In a second aspect, the present application provides a pump gate operational safety assessment system comprising: the system construction module is used for acquiring a pump brake operation safety evaluation index system; the first calculation module is used for obtaining comprehensive evaluation of each nth level index; the second calculation module is used for obtaining the comprehensive evaluation of each n-1 level index by utilizing an analytic hierarchy process and an entropy weight process and combining the comprehensive evaluation of the n-1 level index under the same n-1 level index; and the analytic hierarchy process and the entropy weight process are adopted circularly, and the comprehensive evaluation of the next level index under the same index is combined to obtain the comprehensive evaluation of the previous level index corresponding to each next level index until the dynamic score of the operation safety of the pump brake is obtained.
In a third aspect, the present application provides a computer readable storage medium having stored thereon a computer program for execution by a processor to implement the pump brake operation safety assessment method of any one of the first aspects of the present application.
In a fourth aspect, the present application provides an electronic device, including: a processor and a memory for storing a computer program; the processor is in communication with the memory and executes the pump brake operation safety assessment method according to any one of the first aspects of the present application when the computer program is invoked.
As described above, the pump brake operation safety assessment method, system and electronic equipment have the following beneficial effects:
first, in the present application, by dividing the index system of the pump gate system and according to the real-time monitoring data and the operation management, by analyzing the indexes of each level and the scoring and the development trend of the operation of the whole pump gate, the operation safety of the pump gate can be accurately evaluated.
Secondly, according to the pump gate operation safety assessment method, potential risks in pump gate operation management can be accurately acquired according to accurate assessment of the pump gate operation safety, so that the safety of pump gate operation is improved.
Drawings
FIG. 1 is a schematic diagram of a pump brake operation safety evaluation index system according to an embodiment of the present application.
FIG. 2 is a schematic diagram of a pump brake operation safety assessment method according to an embodiment of the present application.
FIG. 3 is a schematic diagram of a pump brake operation safety assessment method according to an embodiment of the present application.
FIG. 4 is a schematic diagram of a pump brake operation safety assessment method according to an embodiment of the present application.
FIG. 5 is a schematic diagram of a pump brake operation safety assessment method according to an embodiment of the present application.
FIG. 6 is a schematic diagram of a pump brake operation safety assessment method according to an embodiment of the present application.
Fig. 7 is a schematic flow chart of a pump brake operation safety evaluation method according to an embodiment of the present application.
FIG. 8 is a schematic diagram of a pump brake operation safety assessment method according to an embodiment of the present application.
Fig. 9 is a schematic flow chart of a pump brake operation safety evaluation method according to an embodiment of the present application.
Fig. 10 is a schematic flow chart of a pump brake operation safety evaluation method according to an embodiment of the present application.
Fig. 11 is a schematic structural diagram of a pump brake operation safety evaluation system according to an embodiment of the present application.
Fig. 12 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Description of element reference numerals
100. Pump gate operation safety evaluation system
10. System construction module
20. First computing module
30. Second calculation module
200. Electronic equipment
210. Memory device
220. Processor and method for controlling the same
230. Display device
S1 to S3 steps
S21 to S24 steps
S221 to S225 steps
Steps S231 to S235
Steps S2341 to S2343
S31 to S34 steps
Detailed Description
Other advantages and effects of the present application will become apparent to those skilled in the art from the present disclosure, when the following description of the embodiments is taken in conjunction with the accompanying drawings. The present application may be embodied or carried out in other specific embodiments, and the details of the present application may be modified or changed from various points of view and applications without departing from the spirit of the present application. It should be noted that the following embodiments and features in the embodiments may be combined with each other without conflict.
It should be noted that, the illustrations provided in the following embodiments merely illustrate the basic concepts of the application by way of illustration, and only the components related to the application are shown in the drawings and are not drawn according to the number, shape and size of the components in actual implementation, and the form, number and proportion of the components in actual implementation may be arbitrarily changed, and the layout of the components may be more complex.
As shown in FIG. 1, in an actual application scenario, a pump brake operation safety evaluation index system diagram is provided. Comprising the following steps: three structural indexes of professional indexes, object indexes and project indexes; the evaluation index is a quantitative index and a qualitative index corresponding to the project index.
Taking gate bottom plates #1 to #5 as an example, the pump gate operation safety evaluation method according to the present application includes:
step one, respectively obtaining comprehensive evaluation of a brake bottom plate #1 to a brake bottom plate # 5;
step two, comparing importance weights of the gate bottom plates #1 to #5 under the target gate bottom plate by using an analytic hierarchy process so as to obtain subjective weights of the target gate bottom plates;
step three, obtaining objective weight of the object index brake bottom plate by using an entropy weight method;
fourthly, linearly combining the subjective weight and the objective weight of the target index brake bottom plate, and acquiring the comprehensive evaluation of the target index brake bottom plate by combining the comprehensive evaluation of the brake bottom plates #1 to # 5;
Step five, repeatedly executing the step two to the step four, and taking the object index as an analysis object to obtain comprehensive evaluation of the professional index;
and step six, repeatedly executing the step two to the step four, and taking the professional index as an analysis object to obtain the final dynamic score of the pump brake engineering.
The higher the dynamic score of the final pump gate project, the higher the safety operation management level of the pump gate project is, and the higher the safety is; otherwise, the final dynamic score of the pump gate project indicates that the lower the pump gate project safety operation management level.
It should be noted that the pump gate structure shown in fig. 1 is only an example and is not the only structure used to perform the method.
The principles and implementations of the pump brake operation safety assessment method, system and electronic device of the present embodiment will be described in detail below with reference to the accompanying drawings, so that those skilled in the art may understand the pump brake operation safety assessment method, system and electronic device of the present embodiment without creative effort.
In one aspect, referring to fig. 2, a schematic diagram of the pump gate operation safety evaluation method described in the present application is shown, and as shown in fig. 2, the pump gate operation safety evaluation method includes the following steps:
S1, acquiring all levels of indexes in a pump brake operation safety evaluation index system.
Specifically, any one of the upper level indicators includes at least one lower level indicator, and any one of the lower level indicators corresponds to one of the upper level indicators.
In one embodiment, as shown in fig. 1, the pump brake operation safety evaluation index system is divided into four-level six categories, and is calculated step by step from bottom to top according to six types of construction (building), metal structure, equipment, operation activity, management and environment, and according to the sequence of index-project-part/object-specialty-whole. Taking a building (structure) as an example, the building (structure) belongs to professional indexes, namely first-level indexes, and comprises 9 object indexes, namely second-level indexes, including gate piers, gate bottom plates, upstream and downstream wing walls, traffic bridges, north and south bridge head forts, opening and closing machine rooms, maintenance channels, embankments and anti-collision facilities. Taking the gate bottom plate as an example, the gate bottom plate has 5 blocks, namely 5 project indexes, namely three-level indexes, and each gate bottom plate is evaluated based on qualitative indexes and quantitative indexes.
And S2, acquiring comprehensive evaluation of each nth level index. Wherein the nth level of index is denoted as the last level of index.
Wherein, the comprehensive evaluation of each nth level index comprises qualitative evaluation and quantitative evaluation of the index.
Specifically, referring to fig. 3, which is a schematic diagram of a pump brake operation safety evaluation method according to an embodiment of the present application, as shown in fig. 3, the obtaining of a comprehensive evaluation of each nth level index includes the following steps:
and S21, acquiring a qualitative index and a quantitative index corresponding to the nth level index.
In one embodiment, the qualitative indicators corresponding to the nth level indicators may include: pit punching inspection, gap inspection, fracture inspection, siltation inspection and water stop inspection; the quantitative index corresponding to the nth level index may include: 5 indexes of lifting force, soil pressure, steel bar stress, no stress and concrete strain.
The qualitative index and the quantitative index are not limited to one or a combination of several indexes, and can be appropriately increased, decreased or modified according to actual engineering requirements.
Taking the gate bottom plate in fig. 1 as an example, the third level index under a certain second level index (object index) includes: a gate bottom plate 1, a gate bottom plate 2, a gate bottom plate 3, a gate bottom plate 4 and a gate bottom plate 5; wherein, the qualitative index of any floodgate bottom plate all includes: pit punching inspection, gap inspection, fracture inspection, siltation inspection and water stop inspection, wherein the quantitative indexes of any gate bottom plate comprise: 5 indexes of lifting force, soil pressure, steel bar stress, no stress and concrete strain.
The qualitative index mainly refers to a patrol index, and the quantitative index mainly refers to an index for real-time monitoring by arranging monitoring equipment. Wherein, the inspection index is required to be evaluated by depending on a certain empirical value.
And S22, for each nth level index, acquiring qualitative evaluation of the nth level index according to the qualitative index.
Specifically, referring to fig. 4, which is a schematic diagram of a pump brake operation safety evaluation method according to an embodiment of the present application, as shown in fig. 4, for each nth level index, obtaining a qualitative evaluation of the nth level index according to the qualitative index includes the following steps:
and S221, performing fuzzy evaluation on the qualitative index according to the empirical value to obtain a fuzzy comprehensive evaluation matrix of the qualitative index.
Specifically, a fuzzy evaluation method is adopted to calculate qualitative indexes, each index is subjected to fuzzy evaluation according to an empirical value, and the degree of abnormality of engineering indexes is determined, wherein the fuzzy evaluation comprises the following steps: normal, slightly abnormal, mainly abnormal, severely abnormal four levels.
Wherein, a qualitative index set C= { C under the gate bottom plate 1 is set 1 ,c 2 ,……,c 5 }, wherein c 1 A first qualitative index pit-flushing check, c, representing the gate bottom plate 1 2 A second qualitative index gap check, c, representing the brake shoe 1 5 A 5 th qualitative index water stop check showing the brake pad 1; set index comment set v= { V 1 ,v 2 ,v 3 ,v 4 }, where v 1 Indicating that the fuzzy evaluation is normal, v 2 Indicating that the fuzzy evaluation is slightly abnormal, v 3 Expressed as a main abnormality in the fuzzy evaluation, v 4 Expressed as a fuzzy evaluation as a serious abnormality.
Generating a plurality of groups of fuzzy evaluation results according to the qualitative indexes C and the index comment sets V, and respectively counting the occurrence probability of each qualitative index under each index comment according to the plurality of groups of fuzzy evaluation results so as to form a fuzzy comprehensive scoring matrix R of the gate baseplate 1 1 Expressed as:
Figure BDA0004160705610000061
wherein the probability of the ith qualitative rating under the jth comment is denoted as r ij The method specifically comprises the following steps: r is (r) 11 The probability, r, of the first qualitative index gap check under fuzzy evaluation as normal is expressed 54 The probability of the serious abnormality was evaluated as a fuzzy evaluation by the water stop check, which is represented as a fifth qualitative index.
The fuzzy comprehensive evaluation matrix R of the gate bottom plate 2 is also obtained according to the method 2 Fuzzy comprehensive evaluation matrix R of gate base plate 3 3 Fuzzy comprehensive evaluation matrix R of gate base plate 4 4 Fuzzy comprehensive evaluation matrix R of gate base plate 5 5
It should be noted that the sequence of the qualitative indexes does not affect the pump brake operation safety evaluation method of the application, and has no special requirement on the sequence of the qualitative indexes.
Step S222, comparing the importance weights of the qualitative indexes under the same n-th level index to obtain a comparison judgment matrix.
Specifically, taking the gate substrate 1 as an example, the gate substrate 1 includes 5 indexes of pit inspection, gap inspection, fracture inspection, fouling inspection and water stop inspection.
The 5 indexes are compared in pairs to gradually determine the importance weights of the 5 indexes of the gate bottom plate 1 so as to form a comparison and judgment matrix A 1 Expressed as:
Figure BDA0004160705610000071
wherein A is 1 A represents a comparison judgment matrix of the gate bottom plate 1, a ij Importance weights representing the comparison of the ith qualitative rating with the jth qualitative rating, e.g. a 12 The importance weight of the first qualitative index pit punching inspection compared with the second qualitative index gap inspection is represented. Similarly, the comparison judgment matrix A of the gate bottom plate 2 can be obtained sequentially 2 Comparison judgment matrix A of gate bottom plate 3 3 Comparison judgment matrix A of gate bottom plate 4 4 Comparison of gate bottom plates 5Judgment matrix A 5
Specifically, comparing the ith qualitative index with the jth qualitative index, wherein a scale 1 represents that each qualitative index is as important as the comparison of the qualitative index with the jth qualitative index, a scale 3 represents that the ith qualitative index is slightly more important than the jth qualitative index, a scale 5 represents that the ith qualitative index is obviously more important than the jth qualitative index, a scale 7 represents that the ith qualitative index is more important than the jth qualitative index, a scale 9 represents that the ith qualitative index is extremely important than the jth qualitative index, the importance of each of scales 2, 4, 6 and 8 is the intermediate point of scale values 1 and 3, 3 and 5, 5 and 7, and 7 and 9, and the reciprocal of the scale values 3, 5, 7 and 9 are sequentially defined as the ith four-level index to be slightly less important, obvious less important, strongly less important and extremely less important than the jth four-level index.
In one embodiment, the obtaining the comparison and judgment matrix further includes: performing consistency check on the judgment matrix, and executing the next step if the consistency check result is smaller than a check threshold; otherwise, comparing the importance weights of the qualitative indexes under the same nth level index in pairs to obtain a comparison judgment matrix; and repeatedly carrying out consistency check on the comparison judgment matrix until the check result is smaller than the check threshold value.
Specifically, the column vector of the comparison judgment matrix A is normalized to obtain:
Figure BDA0004160705610000072
wherein a is ij An importance weight indicating the comparison of the i-th qualitative rating and the j-th qualitative rating, and n indicating the number of qualitative ratings, in this example, n is 5 if the number of qualitative ratings is 5.
Will be
Figure BDA0004160705610000073
And summing according to rows to obtain:
Figure BDA0004160705610000081
wherein a is ij An importance weight indicating the comparison of the i-th qualitative rating and the j-th qualitative rating, and n indicating the number of qualitative ratings, in this example, n is 5 if the number of qualitative ratings is 5.
Will be
Figure BDA0004160705610000085
Normalized to obtain w= (W) 1 ,w 2 ,……,w n ) T
Calculating and comparing the maximum eigenvalue of the judgment matrix A
Figure BDA0004160705610000082
And (3) carrying out consistency test on the comparison judgment matrix A, wherein the steps are as follows:
(1) Order the
Figure BDA0004160705610000083
Wherein lambda is max In order to judge the maximum eigenvalue of the matrix A, CI is a consistency index, and can be used as a quantity standard for measuring the degree of inconsistency.
(2) Referring to the following table, a corresponding average random uniformity index RI is selected according to the order n of the comparison judgment matrix.
n 1 2 3 4 5 6 7 8 9
RI 0 0 0.52 0.89 1.12 1.24 1.32 1.41 1.5
(3) And calculating the consistency ratio CR=CI/RI of the judgment matrix, and when CR is smaller than 0.1, passing the consistency check, otherwise, adjusting the judgment matrix until CR is smaller than 0.1.
And S223, carrying out normalization processing on the comparison judgment matrix to obtain subjective weights of all the qualitative indexes.
Specifically, the comparison judgment matrix passing through the consistency check is subjected to a geometric average method and normalization processing to obtain the corresponding subjective weight.
In one embodiment, the judgment matrix A is compared 1 The subjective weight of each qualitative index under the nth level index is obtained through a geometric average method and normalization processing, and is expressed as:
Figure BDA0004160705610000084
wherein i, j=1, 2 … … n
Wherein i and j represent qualitative indexes, and when j is 1, subjective weight of pit punching inspection of the first qualitative index is represented, taking gate bottom plate 1 as an example, gate bottom plate 1 comprises 5 qualitative indexes, so the maximum value of i and j is 5.
Therefore, the subjective weight of all qualitative indicators of the gate bottom plate 1 is expressed as:
W A =(w 1 ,w 2 ,w 3 ,w 4 ,w 5 )
wherein w is 1 I.e. the subjective weight, w, of the first qualitative index pit punching inspection of the gate bottom plate 1 2 The subjective weight, w, of the second qualitative index gap inspection of the brake bottom plate 1 3 The third qualitative index of the brake bottom plate 1 is the subjective weight, w 4 The subjective weight, w, of the fourth qualitative index fouling check of the brake floor 1 5 The fifth qualitative index water stop check of the gate bottom plate 1 is the subjective weight.
Similarly, the subjective weight W of all qualitative indexes of the brake bottom plate 2 can be obtained B Subjective weight W of all qualitative indicators of gate floor 3 C Subjective weight W of all qualitative indicators of the gate floor 4 D Subjective weight W of all qualitative indicators of the gate floor 5 E
Step S224, combining the subjective weight and the fuzzy scoring matrix to obtain the membership degree of each qualitative index under different comments.
Specifically, the obtained fuzzy scoring matrix of the same n-level index is multiplied by subjective weights of all qualitative indexes under the n-level index, and the membership degree B of all the qualitative indexes under normal, slight abnormal, main abnormal and serious abnormal conditions is obtained, and is expressed as:
Figure BDA0004160705610000091
wherein W represents subjective weight of qualitative index under the nth level index, R represents fuzzy comprehensive scoring matrix of the nth level index, b 1 A membership degree of the qualitative index representing the nth level index under normal comment, b 2 Representing the index of the nth levelMembership of qualitative rating under light abnormality in comment, b 3 A membership degree of the qualitative index representing the nth level index under the condition of judging as main abnormality, b 4 The qualitative index representing the nth level index is the membership of the severe anomaly in the comment.
Taking the gate backplane 1 as an example, the fuzzy rating matrix R of the gate backplane 1 1 Subjective weight W to qualitative index under gate floor 1 A The product is carried out, and the membership degree of each qualitative index under the gate bottom plate 1 under normal, slight abnormality, main abnormality and serious abnormality is B 1 Similarly, the membership degree of each qualitative index under the gate bottom plate 2 is B 2 The membership degree of each qualitative index under the gate bottom plate 3 is B 3 The membership degree of each qualitative index under the gate bottom plate 4 is B 4 The membership degree of each qualitative index under the gate bottom plate 5 is B 5
And S225, combining the membership degree with preset scores of different comments to obtain qualitative evaluation of the nth level index.
Specifically, in one embodiment, the preset comment score of the nth level index is set to 100, 80, 60, 40 according to the normal, slight abnormality, major abnormality, serious abnormality according to the experience value; according to the membership degree B of each qualitative index under the n-th index under the normal, slight abnormal, main abnormal and serious abnormal and the preset comment score of the n-th index, obtaining a corresponding qualitative evaluation P of the n-th index, wherein the qualitative evaluation P is expressed as follows:
P i =100b 1 +80b 2 +60b 3 +40b 4 Wherein i=1, 2, … … n
Wherein i represents an n-th level index, P i Qualitative evaluation of the ith n-th index is shown.
Taking a gate bottom plate as an example, P 1 Represents a qualitative evaluation of the brake shoe 1, P 2 Represents a qualitative evaluation of the brake pad 2, P 3 Represents a qualitative evaluation of the brake pad 3, P 4 Represents a qualitative evaluation of the brake pad 4, P 5 A qualitative evaluation of the gate bottom plate 5 is shown.
And S23, for each nth level index, acquiring quantitative evaluation of the nth level index according to the quantitative index.
Specifically, referring to fig. 5, which is a schematic diagram of a pump brake operation safety evaluation method according to an embodiment of the present application, as shown in fig. 5, for each nth level index, obtaining a quantitative evaluation of the nth level index according to the quantitative index includes the following steps:
step S231, a threshold interval corresponding to the quantitative indicator is acquired.
Specifically, in one embodiment, setting the quantitative indicator under the nth level indicator includes: the quantitative indexes mainly refer to indexes for real-time monitoring by arranging monitoring equipment, and corresponding five-level threshold intervals (t 1 ,+∞)、(t 2 ,t 1 )、(t 3 ,t 2 )、(t 4 ,t 3 )、(-∞,t 3 ) Wherein t is 1 >t 2 >t 3 >t 4
And S232, acquiring monitoring data of quantitative indexes.
Specifically, historical monitoring data of each quantitative index at each monitoring point is obtained. It should be noted that the historical monitoring data of each quantitative indicator includes all monitoring data of the quantitative indicator during the operation of the pump gate, and the monitoring point of any quantitative indicator includes, but is not limited to, one.
And S233, obtaining a scoring matrix of the quantitative index by comparing the monitoring data with a threshold interval.
In one embodiment, the step of obtaining the scoring matrix of the quantitative indicator by comparing the monitored data with the threshold interval comprises the steps of:
a) Comparing the historical monitoring data of a certain monitoring point of each quantitative index with a five-level threshold interval, judging the abnormal condition of each piece of monitoring data of each quantitative index, if the monitoring value of the monitoring data is located in the interval (t 3 ,t 2 ) The comparison result is marked as L, and if the monitored value of the monitored data is located in the interval (t 2 ,t 1 ) Or (t) 4 ,t 3 ) Marking the comparison result as M, if the data is monitoredThe monitoring value is located in the interval (t 1 , + -infinity) or (- + -infinity, t 4 ) The comparison result is marked as N.
b) Counting the times of marking each quantitative index as L, M, N in a five-level threshold interval of all monitoring data of the monitoring point, and marking the times as n respectively L 、n M 、n N The total number of marked times is recorded as n O Wherein n is O =n L +n M +n N
Wherein when n is O =n L When the monitoring point is a normal point, the time is 0.05n O ≥n M The monitoring point is a slight abnormal point, when 0.05n O ≤n M And 0.03n O ≥n L When the monitoring point is indicated to be a main abnormal monitoring point; when 0.03n O ≤n L And when the monitoring point is a serious abnormal point.
c) When a quantitative index has a plurality of monitoring points, the evaluation results of the plurality of monitoring points are required to be comprehensively analyzed, and each quantitative index is rated in a grading way:
(1) If important measuring points exist, and the general measuring points with the rating lower than the important measuring points are not more than 50%, the quantitative index level=the level with the largest number in the important measuring points;
(2) If there are important points and the general points with a rating lower than that of the important points are more than 50%, the index level is quantified
=the most counted level in a general measurement point;
(3) If no important measuring points exist, and the ratings of more than 80% of the common measuring points are consistent, the quantitative index level=the rating of 80%;
(4) No important measuring points, the rating of more than 50% of the measuring points is consistent, and the rating of the rest measuring points is higher than 50%
Low, no more than 30% of the total, then quantitative indicator level = rating of 50%;
(5) No important measuring points, more than 30 percent of the common measuring points are rated consistently, and the ratings of the rest measuring points are higher than 30 percent
Low, no more than 10% of the total, then quantitative indicator level = rating of 30%;
(6) Without important points, the scores (3) to (5) are not satisfied, and the quantitative index level=the lowest level in 10% is reached.
d) According to the evaluation result and a preset score calculation formula, a score matrix X of quantitative indexes under different nth-level indexes is obtained and is expressed as follows:
Figure BDA0004160705610000111
wherein n represents an n-th level index, m represents a quantitative index, and x nm A score representing the mth quantitative indicator at the nth level indicator. Taking a gate bottom plate as an example, taking the gate bottom plate as an nth level index, taking 5 gate bottom plates in total, and taking five items of lifting force, soil pressure, reinforcing steel bar stress, stress-free and concrete strain as quantitative indexes under the nth level index; then x nm Can be x 55 A score expressed as a fifth quantitative indicator under the gate substrate 5.
In one embodiment, the scoring formula includes:
(1) Normal=80+20× (normal station probability) × (probability of data belonging to between t2 and t3 among all data);
(2) Slight anomaly = 60+19× (normal+slight anomaly measure probability) × (data probability between t2 and t3 among all data);
(3) Major anomaly = 40+19× (normal+slight anomaly+measure probability of major anomaly) × (data probability between t2 and t3 among all data);
(4) Severe anomaly = 39-39× (probability of measure of severe anomaly) × (probability of data greater than threshold t1 or less than threshold t4 in all data).
It should be noted that the above-mentioned score calculation formula is not only fixed, but can be adjusted according to actual engineering requirements and designs.
Step S234, objective weights of quantitative indexes are obtained based on the scoring matrix.
Specifically, referring to fig. 6, which is a schematic diagram of a pump brake operation safety evaluation method according to an embodiment of the present application, as shown in fig. 6, the step of obtaining objective weights of quantitative indicators based on a scoring matrix includes the following steps:
step S2341, normalization processing is carried out on the scoring matrix, and a normalization matrix is obtained.
Specifically, the scoring matrix X is normalized, and the normalized matrix is denoted as Y. Judging the positive and negative directions of quantitative indexes, taking a brake bottom plate as an example, wherein the lifting force, the soil pressure, the steel bar stress, the stress-free concrete strain are all reverse indexes
Figure BDA0004160705610000121
Wherein i represents an nth level index, j represents a quantitative index, x ij A score representing the jth quantitative indicator at the ith and nth level indicators. max [ x ] j ]Maximum evaluation of j-th quantitative index, min [ x ] j ]The minimum evaluation of the j-th quantitative index is shown.
Step S2342, calculating the proportion of the quantitative index in all indexes of the nth level, and acquiring the information entropy of the quantitative index based on the proportion.
Calculating the specific gravity of each quantitative index in different nth-level indexes according to the normalized matrix Y, and acquiring the information entropy E of each quantitative index according to the specific gravity, wherein the information entropy E is expressed as follows:
Figure BDA0004160705610000122
wherein E is j Information entropy representing jth quantitative index, P ij The specific gravity of each quantitative index in the different nth-order indexes is shown.
Wherein P is ij Expressed by the formula:
Figure BDA0004160705610000123
wherein Y is ij Represents the normalized scoring matrix, i represents the nth level index, j represents the quantitative indexAnd (5) marking.
And S2343, obtaining objective weights of quantitative indexes according to the information entropy.
Specifically, the difference coefficient of the j-th quantitative index is denoted as D j =1-E j The objective weight of the quantitative index on this basis is expressed as:
Figure BDA0004160705610000124
wherein Z is j Objective weight representing j-th quantitative index, D j The difference coefficient indicating the j-th quantitative index, and n indicating the number of quantitative indexes.
And S235, combining the scoring matrix and the objective weight to obtain quantitative evaluation of the nth level index.
Specifically, according to the scoring matrix X and the objective weight Z j Quantitative evaluation of the nth level index was obtained, expressed as:
Figure BDA0004160705610000125
wherein S represents quantitative evaluation of an nth level index, S 1 Quantitative evaluation of first n-th index s n The quantitative evaluation of the nth level index is shown.
And step S24, carrying out linear combination on the qualitative evaluation and the quantitative evaluation based on the empirical value so as to obtain the comprehensive evaluation of the nth level index.
Specifically, qualitative evaluation P of the nth level index i And quantitative evaluation s i Performing linear combination to obtain comprehensive evaluation K of nth level index i Expressed as:
K i =tP i +(1-t)s i
wherein i represents the ith level of index, t and (1-t) are coefficients, and can be adjusted and modified according to actual engineering requirements.
In an embodiment, as shown in fig. 1 and fig. 7, the process of obtaining each nth level index described in the present application includes: and respectively carrying out qualitative evaluation and quantitative evaluation on the evaluation index according to the pump brake operation system.
The qualitative evaluation of the evaluation index comprises: and carrying out fuzzy evaluation on the qualitative indexes based on experience values according to a fuzzy evaluation method, acquiring a fuzzy scoring matrix of the corresponding qualitative indexes, determining importance weights of the qualitative indexes in a pairwise comparison mode to form a comparison judging matrix, further carrying out row summation and normalization processing on the comparison judging matrix to obtain subjective weights of the qualitative indexes, judging whether the comparison judging matrix meets consistency check, if not, adjusting the comparison judging matrix until the consistency check is met, if so, combining the fuzzy scoring matrix and the subjective weights, acquiring membership degrees of the qualitative indexes under a comment set, and then acquiring qualitative evaluation of the project indexes by combining the membership degrees and preset comment scores.
The quantitative evaluation of the evaluation index comprises: setting a threshold interval of quantitative evaluation indexes (monitoring indexes), comparing all historical monitoring data of each monitoring point with the threshold interval, judging abnormal conditions of all historical monitoring data, counting data quantity of each monitoring point under different abnormal degrees, grading the monitoring points, comprehensively analyzing evaluation results of the plurality of monitoring points when the plurality of monitoring points exist, grading the monitoring indexes according to the grading, thereby establishing a quantitative index scoring matrix, carrying out normalization processing on the scoring matrix after judging the forward and backward directions of each quantitative index, calculating the specific gravity of each quantitative index in all project indexes, solving the information entropy of the quantitative index and the difference coefficient of the quantitative index, acquiring the objective weight of the quantitative index, and acquiring the quantitative evaluation of the project index by combining the scoring matrix and the objective weight.
S3, acquiring comprehensive evaluation of each n-1 level index by utilizing an analytic hierarchy process and an entropy weight process and combining comprehensive evaluation of the n-1 level index under the same n-1 level index; and the analytic hierarchy process and the entropy weight process are adopted circularly, and the comprehensive evaluation of the next level index under the same index is combined to obtain the comprehensive evaluation of the previous level index corresponding to each next level index until the dynamic score of the operation safety of the pump brake is obtained.
Specifically, referring to fig. 8, a schematic diagram of a pump brake operation safety evaluation method according to an embodiment of the present application is shown, and as shown in fig. 8, a hierarchical analysis method and an entropy weight method are used to obtain comprehensive evaluation of each n-1-th level index by combining comprehensive evaluation of n-1-th level indexes under the same n-1-th level index; and the analytic hierarchy process and the entropy weight process are adopted circularly, and the comprehensive evaluation of the next level index under the same index is combined, so that the comprehensive evaluation of the previous level index corresponding to each next level index is obtained until the dynamic score of the pump brake operation safety is obtained, and the method comprises the following steps:
and S31, comparing importance weights of the n-th level indexes under the same n-1 level index by utilizing a hierarchical analysis method to obtain a comparison judgment matrix, and further obtaining subjective weights of the n-1 level indexes.
Specifically, subjective weight of the nth level index is determined by analytic hierarchy process
Figure BDA0004160705610000141
Where i, j=1, 2 … … n, n is the n-th level index number, a ij For the scale, the importance weights of the n-th level indexes are determined by a pairwise comparison mode, and the values are generally positive integers of 1-9 and the reciprocal thereof.
And S32, acquiring objective weights of the same n-1 level index by using an entropy weight method.
Specifically, the objective weight of the nth level index is determined by an entropy weight method
Figure BDA0004160705610000142
Wherein the difference coefficient D of the nth level index j =1-E j Information entropy of n-th level index>
Figure BDA0004160705610000143
The proportion of the n-th level index in the n-1-th level index is +.>
Figure BDA0004160705610000144
Normalization of nth level indexMatrix->
Figure BDA0004160705610000145
i=1, 2 … … n, j=1, 2 … … m, where m is the n-th level index number and n is the n-1-th level index number.
And S33, linearly combining the subjective weight and the objective weight based on the experience value, and acquiring the comprehensive evaluation of the n-1 index by combining the comprehensive evaluation of the n-1 index under the same n-1 index.
Specifically, the qualitative weight and the quantitative weight of the n-th level index number are respectively combined linearly to obtain a combination weight l of each n-th level index number i ,l i =tw i +(1-t)w′ i Wherein t is determined by an empirical value, t is more than or equal to 0 and less than 1, and finally the comprehensive score N of the N-1 index is calculated i =K i l i Wherein K is i Is the composite score for the nth level indicator.
It should be noted that t may be adjusted and modified according to actual engineering requirements.
And step S34, circularly executing the steps S31 to S33 until the dynamic score of the operation safety of the pump brake is obtained.
Specifically, a analytic hierarchy process and an entropy weight process are adopted, comprehensive evaluation of the n-1 level index under the same n-2 level index is combined, comprehensive evaluation of each n-2 level index is obtained, and then the analytic hierarchy process and the entropy weight process are adopted, and comprehensive evaluation of the n-2 level index under the same n-3 level index is combined, so that comprehensive evaluation of each n-3 level index is obtained; until an analytic hierarchy process and an entropy weight process are adopted, and the dynamic grading of the operation safety of the pump brake is obtained by combining with the comprehensive evaluation of the level 1 index under the pump brake system.
In a practical embodiment, as shown in fig. 1 and 9, the analytic hierarchy process and the entropy weighting method are utilized, and the comprehensive evaluation of the nth index under the same nth-1 index is combined to obtain the comprehensive evaluation of each nth-1 index; and the flow of circularly adopting an analytic hierarchy process and an entropy weight process and combining the comprehensive evaluation of the next-level index under the same index to obtain the comprehensive evaluation of the previous-level index corresponding to each next-level index until the dynamic scoring of the operation safety of the pump gate is obtained comprises the following steps: obtaining subjective weights and objective weights of the project indexes through an analytic hierarchy process, linearly combining the subjective weights and the objective weights to obtain combined weights of the project indexes, and obtaining comprehensive evaluation of the object indexes by combining the combined weights of the project indexes and comprehensive evaluation of the project indexes; repeating the steps until the integral score of the operation safety of the pump brake is finally obtained.
The subjective weight acquisition by the analytic hierarchy process comprises the following steps: taking the project indexes as an example, determining importance weights of the project indexes in a pairwise comparison mode, forming a judgment matrix, sequentially carrying out row summation and normalization on the judgment matrix, obtaining subjective weights of the project indexes, judging whether the judgment matrix meets consistency verification, if not, adjusting the judgment matrix to obtain new subjective weights, and if so, retaining the subjective weights.
The entropy weight method for obtaining objective weight comprises the following steps: taking the project index as an example, establishing a scoring matrix of the project index, judging the forward and reverse directions of the project index, then carrying out normalization processing, calculating the weight of each project index in all object indexes, acquiring the information entropy of each project index, and acquiring the difference coefficient of each project index according to the information entropy to acquire the objective weight of each project index.
In the following, referring to fig. 1 to 10, a flow of the pump brake operation safety evaluation method described in the present application is illustrated to include: dividing any item index into a quantitative index and a qualitative index, carrying out fuzzy evaluation on the qualitative index, obtaining subjective weight of each qualitative index through a hierarchical analysis method, and obtaining qualitative evaluation of the item index by combining a fuzzy scoring matrix, the subjective weight and each comment standard score; the steps in fig. 9 are performed in a cyclic manner until the overall score of the pump brake operation safety is obtained by processing the historical monitoring data of the quantitative indicators to obtain each quantitative indicator score, obtaining the objective weight of each quantitative evaluation by an entropy weight method, obtaining the quantitative evaluation of the item indicators in combination with the quantitative indicator score and the objective weight of each quantitative indicator, and linearly combining the qualitative evaluation and the quantitative evaluation of the item indicators to obtain the comprehensive evaluation of the item indicators.
The pump brake operation safety evaluation method described in the present application is not limited to the step execution sequence listed in the above embodiments, and all the schemes implemented by the steps of increasing or decreasing and step replacing in the prior art according to the principles of the present invention are included in the protection scope of the present invention.
On the other hand, the application also provides a pump brake operation safety evaluation system which comprises a system construction module, a first calculation module and a second calculation module.
Referring to fig. 11, a pump brake operation safety evaluation system 100 according to an embodiment of the present application is shown, and as shown in fig. 11, the pump brake operation safety evaluation system 100 includes: the system construction module 10 is used for acquiring a pump brake operation safety evaluation index system; a first calculation module 20, configured to obtain a comprehensive evaluation of each nth level index; the second calculation module 30 is configured to obtain a comprehensive evaluation of each n-1-th level index by using an analytic hierarchy process and an entropy weighting process and combining a comprehensive evaluation of the n-1-th level index under the same n-1-th level index; and the analytic hierarchy process and the entropy weight process are adopted circularly, and the comprehensive evaluation of the next level index under the same index is combined to obtain the comprehensive evaluation of the previous level index corresponding to each next level index until the dynamic score of the operation safety of the pump brake is obtained.
It should be noted that, it should be understood that the above division of each module is merely a division of a logic function, and may be fully or partially integrated into one physical entity or may be physically separated. And these modules may all be implemented in software in the form of calls by the processing element; or can be realized in hardware; the method can also be realized in a form of calling software by a processing element, and the method can be realized in a form of hardware by a part of modules. For example, the x module may be a processing element that is set up separately, may be implemented in a chip of the apparatus, or may be stored in a memory of the apparatus in the form of program code, and the function of the x module may be called and executed by a processing element of the apparatus. The implementation of the other modules is similar. In addition, all or part of the modules can be integrated together or can be independently implemented. The processing element described herein may be an integrated circuit having signal processing capabilities. In implementation, each step of the above method or each module above may be implemented by an integrated logic circuit of hardware in a processor element or an instruction in a software form.
For example, the modules above may be one or more integrated circuits configured to implement the methods above, such as: one or more application specific integrated circuits (Application Specific Integrated Circuit, abbreviated as ASIC), or one or more microprocessors (Digital Signal Processor, abbreviated as DSP), or one or more field programmable gate arrays (Field Programmable Gate Array, abbreviated as FPGA), or the like. For another example, when a module above is implemented in the form of a processing element scheduler code, the processing element may be a general-purpose processor, such as a central processing unit (Central Processing Unit, CPU) or other processor that may invoke the program code. For another example, the modules may be integrated together and implemented in the form of a system-on-a-chip (SOC).
The present application also provides a computer-readable storage medium having a computer program stored thereon. The computer program, when executed by the processor, implements the pump brake operation safety assessment method provided in the embodiments of the present invention.
Any combination of one or more storage media may be employed in the present application. The storage medium may be a computer readable signal medium or a computer readable storage medium. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a RAM, a ROM, an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The present application further provides an electronic device, and fig. 12 is a schematic structural diagram of an electronic device 200 according to an embodiment of the present application. As shown in fig. 12, the electronic device 200 in this embodiment includes a memory 210 and a processor 220.
The memory 210 is used for storing a computer program; preferably, the memory 510 includes: various media capable of storing program codes, such as ROM, RAM, magnetic disk, U-disk, memory card, or optical disk.
In particular, memory 210 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM) and/or cache memory. The electronic device 200 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. Memory 210 may include at least one program product having a set (e.g., at least one) of program modules configured to carry out the functions of embodiments of the invention.
The processor 220 is connected to the memory 210, and is configured to execute a computer program stored in the memory 210, so that the electronic device 200 executes the pump brake operation safety assessment method provided in the embodiment of the present invention.
Preferably, the processor 220 may be a general-purpose processor, including a central processing unit (Central Processing Unit, CPU for short), a network processor (Network Processor, NP for short), etc.; but also digital signal processors (Digital Signal Processor, DSP for short), application specific integrated circuits (Application Specific Integrated Circuit, ASIC for short), field programmable gate arrays (Field Programmable Gate Array, FPGA for short) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.
Preferably, the electronic device 200 in this embodiment may further include a display 230. A display 230 is communicatively coupled to the memory 210 and the processor 220 for displaying a GUI interactive interface associated with the pump brake operational safety assessment method.
The descriptions of the processes or structures corresponding to the drawings have emphasis, and the descriptions of other processes or structures may be referred to for the parts of a certain process or structure that are not described in detail.
In summary, compared with the prior art, in the first aspect, the pump gate operation safety evaluation method, system and electronic device disclosed by the application can accurately evaluate the pump gate operation safety by dividing the index system of the pump gate system, analyzing indexes of each level and scoring and development trend of the whole pump gate operation according to real-time monitoring data and operation management; in a second aspect, according to the pump gate operation safety assessment method, potential risks in pump gate operation management can be accurately acquired according to accurate assessment of pump gate operation safety, so that the safety of pump gate operation is improved. Therefore, the method effectively overcomes various defects in the prior art and has high industrial utilization value.
The foregoing embodiments are merely illustrative of the principles of the present application and their effectiveness, and are not intended to limit the application. Modifications and variations may be made to the above-described embodiments by those of ordinary skill in the art without departing from the spirit and scope of the present application. Accordingly, it is intended that all equivalent modifications and variations which may be accomplished by persons skilled in the art without departing from the spirit and technical spirit of the disclosure be covered by the claims of this application.

Claims (10)

1. A method for pump brake operation safety assessment, the method comprising the steps of:
acquiring each level of index in a pump brake operation safety evaluation index system; wherein, any upper level index comprises at least one lower level index, and any lower level index corresponds to one upper level index;
acquiring comprehensive evaluation of each nth level index; wherein the nth level index is the last level index;
the comprehensive evaluation of each n-1 index is obtained by utilizing an analytic hierarchy process and an entropy weight process and combining the comprehensive evaluation of the n-1 index under the same n-1 index; and the analytic hierarchy process and the entropy weight process are adopted circularly, and the comprehensive evaluation of the next level index under the same index is combined to obtain the comprehensive evaluation of the previous level index corresponding to each next level index until the dynamic score of the operation safety of the pump brake is obtained.
2. The pump brake operational safety assessment method according to claim 1, wherein the obtaining of the comprehensive evaluation of each nth level indicator comprises the steps of:
acquiring qualitative indexes and quantitative indexes corresponding to the nth level indexes;
for each nth level index, acquiring qualitative evaluation of the nth level index according to the qualitative index;
quantitative evaluation of an nth level index is obtained according to the quantitative index;
And linearly combining the qualitative evaluation with the quantitative evaluation based on an empirical value to obtain a comprehensive evaluation of the nth level index.
3. The pump brake operation safety evaluation method according to claim 2, wherein the step of obtaining a qualitative evaluation of the nth level index from the qualitative index for each nth level index comprises the steps of:
performing fuzzy evaluation on the qualitative indexes according to the empirical values to obtain a fuzzy comprehensive evaluation matrix of the qualitative indexes;
comparing importance weights of the qualitative indexes under the same n-th level index in pairs to obtain a comparison judgment matrix;
normalizing the comparison and judgment matrix to obtain subjective weight of each qualitative index;
combining the subjective weight and the fuzzy evaluation matrix to obtain membership degrees of the qualitative indexes under different comments;
and acquiring qualitative evaluation of the nth level index by combining the membership degree and preset scores of different comments.
4. The pump brake operation safety evaluation method according to claim 3, wherein before normalizing the comparison judgment matrix to obtain the subjective weight of each qualitative indicator, further comprising: performing consistency check on the judgment matrix, and executing the next step if the consistency check result is smaller than a check threshold; otherwise, carrying out pairwise comparison on the importance weights of the qualitative indexes under the same nth level index again to obtain a comparison judgment matrix;
And repeatedly carrying out consistency check on the comparison judgment matrix until the check result is smaller than the check threshold value.
5. The pump brake operational safety evaluation method according to claim 2, wherein for each nth level of index, the obtaining a quantitative evaluation of the nth level of index from the quantitative index comprises the steps of:
acquiring a threshold interval corresponding to the quantitative index;
acquiring monitoring data of the quantitative index;
comparing the monitoring data with the threshold interval, and obtaining a scoring matrix of the quantitative index by using a ratio method;
acquiring objective weights of the quantitative indexes based on the scoring matrix;
and combining the scoring matrix and the objective weight to obtain quantitative evaluation of the nth grade index.
6. The pump brake operational safety assessment method according to claim 5, wherein the obtaining objective weights of the quantitative indicators based on the scoring matrix comprises the steps of:
normalizing the scoring matrix to obtain a normalized matrix;
calculating the proportion of the quantitative index in all indexes of an nth level, and acquiring the information entropy of the quantitative index based on the proportion;
and obtaining the objective weight of the quantitative index according to the information entropy.
7. The pump brake operation safety evaluation method according to claim 1, wherein the obtaining the comprehensive evaluation of each n-1-th level index by using the hierarchical analysis method and the entropy weight method in combination with the comprehensive evaluation of the n-1-th level index under the same n-1-th level index comprises the steps of:
comparing importance weights of the n-th level indexes under the same n-1 level index by using an analytic hierarchy process to obtain a comparison judgment matrix, and further obtaining subjective weights of the n-1 level indexes;
obtaining objective weights of the same n-1 level index by using an entropy weight method;
and linearly combining the subjective weight and the objective weight based on an experience value, and acquiring the comprehensive evaluation of the nth level index by combining the comprehensive evaluation score of the nth level index under the same nth level index.
8. A pump brake operational safety assessment system, comprising:
the system construction module is used for acquiring a pump brake operation safety evaluation index system;
the first calculation module is used for obtaining comprehensive evaluation of each nth level index;
the second calculation module is used for obtaining the comprehensive evaluation of each n-1 level index by utilizing an analytic hierarchy process and an entropy weight process and combining the comprehensive evaluation of the n-1 level index under the same n-1 level index; and the analytic hierarchy process and the entropy weight process are adopted circularly, and the comprehensive evaluation of the next level index under the same index is combined to obtain the comprehensive evaluation of the previous level index corresponding to each next level index until the dynamic score of the operation safety of the pump brake is obtained.
9. A computer-readable storage medium having stored thereon a computer program, characterized by: the computer program, when executed by a processor, implements the pump brake operation safety assessment method of any one of claims 1 to 7.
10. An electronic device, the electronic device comprising:
a memory storing a computer program;
a processor, in communication with the memory, which when invoked executes the pump brake operational safety assessment method of any one of claims 1 to 7.
CN202310348686.2A 2023-03-31 2023-03-31 Pump gate operation safety assessment method and system and electronic equipment Pending CN116362617A (en)

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