CN114462813A - Method for establishing emergency inspection detection index system under complex disaster environment - Google Patents

Method for establishing emergency inspection detection index system under complex disaster environment Download PDF

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CN114462813A
CN114462813A CN202210032974.2A CN202210032974A CN114462813A CN 114462813 A CN114462813 A CN 114462813A CN 202210032974 A CN202210032974 A CN 202210032974A CN 114462813 A CN114462813 A CN 114462813A
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emergency
detection index
establishing
evaluation
index system
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杨玲
许沁舒
田国力
张帆
芦山
许超
朱茜
王冠琼
高菁慧
李兰芸
杨立为
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Xinxing Jihua Group Co ltd
Xinxing Jihua Technology Development Co ltd
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Xinxing Jihua Group Co ltd
Xinxing Jihua Technology Development Co ltd
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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
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06311—Scheduling, planning or task assignment for a person or group
    • 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
    • G06F17/16—Matrix or vector computation, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization
    • 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
    • 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
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
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    • G06Q50/26—Government or public services

Abstract

The invention discloses a method for establishing an emergency inspection and detection index system under a complex disaster environment, which comprises the following steps: s1: establishing three main bodies of an emergency inspection and detection index system, namely emergency materials, emergency equipment and emergency facilities; s2, determining the detection indexes of the three subjects respectively; s3, determining the evaluation index of the detection index based on the detection index, wherein the evaluation index comprises environment, suitability and reliability; s4, determining the product performance change rule and action mechanism of emergency materials, emergency equipment and emergency facilities in the complex disaster environment by combining a subjective weighting method and an objective weighting method based on the evaluation index; and S5, establishing an emergency inspection and detection index system under the complex disaster environment according to the product performance change rule and the action mechanism. An emergency inspection detection index system establishment device, electronic equipment and a computer readable storage medium under a complex disaster environment are also disclosed.

Description

Method for establishing emergency inspection detection index system under complex disaster environment
Technical Field
The invention belongs to the technical field of emergency inspection and detection in a disaster environment, and particularly relates to a method for establishing an emergency inspection and detection index system in a complex disaster environment.
Background
The territorial area of China is large, various disasters frequently occur every year, the distribution is wide, and the weight loss is low; the major safety accidents in part of industries occur; as people move increasingly frequently, public health events begin to be a serious threat. Emergency products (emergency materials, rescue equipment, rescue facilities and the like) are important material bases for improving the public safety guarantee capability, and according to the latest 'classification and coding of emergency materials' (GB/T7027), the emergency materials refer to material guarantees necessary for the whole emergency process of emergency public events such as severe natural disasters, accident disasters, public health events, social safety events and the like. However, in the prior art, an emergency inspection and detection index system under a complex disaster environment is not established according to a scientific method, so that the main influence factors, main indexes and change rules of a typical emergency product under the complex environment cannot be considered and verified from the aspects of use environment, strength requirement, suitability reliability analysis, daily maintenance and the like, and further the public safety guarantee capability cannot be effectively improved.
Disclosure of Invention
The invention aims to provide a scientific and effective method for establishing a set of inspection and detection index system, taking typical social emergency products (tents, air beds, protective clothing, respirators, rescue vehicles and the like) as research objects, researching the damage mechanism, failure mode and change rule of the product under the complex disaster environment, establishing a detection index system and a test evaluation method of the socialized emergency product under the complex disaster environment, therefore, a key performance index damage mechanism and an incapability mechanism of the emergency product in the complex disaster environment are established, a typical emergency product is selected, the functions and the characteristics of the emergency product and a detection index system of the typical emergency product in the existing standard state are combined, the main influence factors, the main indexes and the change rules of the typical emergency product in the complex environment are investigated, analyzed and verified through testing, and the detection index system of the socialized emergency product in the complex disaster environment is established.
The invention provides a method for establishing an emergency inspection detection index system under a complex disaster environment, which comprises the following steps:
s1: establishing three main bodies of an emergency inspection and detection index system, namely emergency materials, emergency equipment and emergency facilities;
s2, determining the detection indexes of the three subjects respectively;
s3, determining an evaluation index of the detection index based on the detection index, wherein the evaluation index comprises environment, suitability and reliability;
s4, determining the product performance change rule and action mechanism of emergency materials, emergency equipment and emergency facilities in the complex disaster environment by combining a subjective weighting method and an objective weighting method based on the evaluation index;
and S5, establishing an emergency inspection and detection index system under the complex disaster environment according to the product performance change rule and the action mechanism.
Preferably, the subjective weighting method comprises an analytic hierarchy process and an expert scoring method; the objective weighting method comprises a fuzzy comprehensive evaluation method and a Bayesian network method;
wherein the analytic hierarchy process comprises five steps:
1) establishing a hierarchical structure model: dividing the model into a highest layer, a middle layer and a lowest layer;
(1) highest layer, i.e. target layer: an element representing the problem to be solved, i.e. the target to be achieved by applying the analytic hierarchy process;
(2) intermediate layer, i.e. standard layer: a plurality of elements, which are taken as intermediate links to start and end, show the decision according to which standard to make;
(3) bottom layer, scheme layer: a number of elements, listing alternatives;
2) constructing a judgment matrix:
(1) constructing a judgment matrix for pairwise comparison: a judgment matrix is constructed in a pairwise comparison mode, and the value of importance is represented by numbers from 1 to 9;
(2) calculating the relative weight of each element;
3) performing single criterion sorting;
4) checking the consistency of the judgment matrix;
5. and (3) comprehensive weight total ordering: calculating the relative weight of each layer element relative to the upper element, and calculating the known relative weight according to a proper method to obtain the total comprehensive weight ranking;
the fuzzy comprehensive evaluation method is a multilevel fuzzy comprehensive evaluation and comprises the following steps:
1) establishing a factor set: according to the target problem, dividing the factor set U into n subsets: u ═ U1，u2，...，un}; n subsets can be further divided into Ui＝{Ui1，Ui2，...，Uin}；
2) Establishing a factor comment set: for a question, it is ranked according to its evaluation situation and evaluation requirement, e.g. the set of comments V ═ V1，v2，...，vn}；
3) Single-factor fuzzy evaluation: listing membership degrees by an expert survey method or other methods, setting y experts to participate in evaluation, and setting a factor set Ui＝{Ui1，Ui2，...，UinAccording to the comment set V ═ V }1，v2，...，vnEvaluating, and then counting to obtain the comment of each factor as viThe ratio of the number of experts to the total number of all experts is the ratio of each factor to the comment grade viTo obtain a fuzzy comprehensive evaluation matrix Ri：
Figure BDA0003467159410000031
4) First-order fuzzy comprehensive evaluation: get each U in the index setiWeight set A ofiAnd fuzzy evaluation matrix RiMultiplying the two to carry out primary fuzzy comprehensive evaluation:
Figure BDA0003467159410000032
further obtaining a first-level fuzzy evaluation matrix of the U
R＝(B1，B2，…BN)；
5) Multi-stage fuzzy comprehensive evaluation: multiplying the obtained first-level fuzzy evaluation matrix R and the second-level fuzzy comprehensive evaluation weight A to obtain a fuzzy comprehensive evaluation B of U:
B＝A·R＝A·(B1，B2，…BN)T＝(b1，b2，…bn)；
6) and (3) calculating a comprehensive evaluation value:
and calculating a comprehensive evaluation score by combining the fuzzy comprehensive evaluation B and the numerical value corresponding to the comment set V:
P＝V·B。
preferably, in S4, based on the evaluation index, determining the product performance change rule and the action mechanism of the emergency materials, the emergency equipment and the emergency facilities in the complex disaster environment by combining a subjective weighting method and an objective weighting method includes:
(1) determining the product performance change rule and the action mechanism of emergency materials under the complex disaster environment, comprising the following steps: analyzing the influence factors of the snow load, the air tightness and the load pressure of the tent, researching the failure function and the change rule of the tent, establishing a related detection method, and providing reference for the adjustment of the production process parameters of related materials and the construction of a detection index system; analyzing influence factors of the permeability of the protective clothing chemicals, researching the protective requirements, the change rules and related detection methods, and establishing related detection methods and systems;
(2) determining the product performance change rule and the action mechanism of emergency equipment under the complex disaster environment, comprising the following steps: selecting protective equipment and rescue vehicles, and researching the protective requirements of the emergency equipment in a complex disaster environment by combining the characteristics and the protective action mechanism of the emergency equipment, and determining influence factors, main indexes and change rules of the main indexes from the aspects of use environment, task requirements, adaptability reliability analysis and daily maintenance;
(3) determining the product performance change rule and the action mechanism of the emergency facility under the complex disaster environment, comprising the following steps: based on key bearing components of emergency facilities under complex disaster environments, acoustic emission sources and characteristics under the conditions of no defects and typical defects are determined, an acoustic emission waveform signal database is established, characteristic identification analysis is carried out on typical acoustic emission source signals through parameter analysis, wavelet analysis, pattern identification and artificial neural network signal processing, and the relation among defect sizes, working conditions and acoustic emission characteristic parameters is determined.
Preferably, the step S5 of establishing an emergency inspection detection index system in a complex disaster environment according to the product performance change rule and the action mechanism includes:
the system comprises an emergency material three-level inspection detection index system, an emergency equipment three-level inspection detection index system and an emergency facility three-level inspection detection index system.
Preferably, the emergency material three-level inspection detection index system comprises:
first-level indexes: emergency supplies;
secondary indexes are as follows: chemical protective clothing, respirators, tent test devices and air cushion beds;
and (3) three-level indexes:
(1) corresponding to chemical protective clothing: air tightness, liquid injection tightness, inward leakage rate, fabric chemical permeability, pressure penetration resistance, wear resistance, flex resistance, tearing resistance, fracture resistance, puncture resistance of chemical protective clothing with a window and low-temperature and high-temperature resistance;
(2) corresponding to a respirator: rated protection time, oxygen concentration in inspiration, carbon dioxide concentration in inspiration, inspired gas temperature, inspiration resistance of an air respirator, expiration resistance of the air respirator, breathing resistance, high and medium pressure air tightness, low pressure air tightness, mask leakage rate, temperature resistance from high temperature of 60 ℃ to low temperature of minus 30 ℃, gas supply type chemical protection performance and combustibility after strong acid, alkali and o-xylene soaking under the condition of containing a window;
(3) corresponding to the tent test device: rain, snow and wind loads;
(4) corresponding to an air cushion bed: air tightness and use pressure test, single pressure and constant pressure strength, multiple constant pressure fatigue tests and blasting mode.
Preferably, the emergency equipment three-level inspection detection index system comprises:
first-level indexes: emergency equipment;
secondary indexes are as follows: high mobility rescue equipment;
and (3) three-level indexes: the test system comprises a reliability test, an obstacle crossing test, a wading performance and rain test, a cross torsion resistance test, a longitudinal stability and braking safety test, a transverse stability test, a longitudinal passing test and a traction driving test.
Preferably, the emergency facility third-level inspection detection index system comprises:
first-level indexes: emergency facilities;
secondary indexes are as follows: key components, damage mode;
and (3) three-level indexes:
(1) corresponding to the key components: the device comprises a slewing bearing, a bearing component, a bearing steel structure and an auxiliary structure;
(2) corresponding to the damage pattern: fatigue, mechanical wear and overload.
The second aspect of the present invention provides an apparatus for establishing an emergency inspection and detection index system in a complex disaster environment, including:
the system main body determining module is used for establishing three main bodies of an emergency inspection detection index system, namely emergency materials, emergency equipment and emergency facilities;
the detection index determining module is used for determining the detection indexes of the three main bodies respectively;
an evaluation index determination module, configured to determine an evaluation index of the detection index based on the detection index, where the evaluation index includes environment, suitability, and reliability;
the performance change rule and action mechanism determining module is used for determining the product performance change rules and action mechanisms of emergency materials, emergency equipment and emergency facilities in the complex disaster environment by combining a subjective weighting method and an objective weighting method based on the evaluation indexes;
and the emergency inspection detection index system establishing module is used for establishing an emergency inspection detection index system under a complex disaster environment according to the product performance change rule and the action mechanism.
A third aspect of the invention provides an electronic device comprising a processor and a memory, the memory storing a plurality of instructions, the processor being configured to read the instructions and to perform the method according to the first aspect.
A fourth aspect of the invention provides a computer readable storage medium storing a plurality of instructions readable by a processor and performing the method of the first aspect.
The invention provides a method and a device for establishing an emergency inspection detection index system in a complex environment, electronic equipment and a computer readable storage medium, and has the following beneficial technical effects:
a scientific and effective method establishes a set of inspection and detection index system, takes typical social emergency products (tents, air cushion beds, protective clothing, respirators, rescue vehicles and the like) as research objects, researching the damage mechanism, failure mode and change rule of the product under the complex disaster environment, establishing a detection index system and a test evaluation method of the socialized emergency product under the complex disaster environment, therefore, a key performance index damage mechanism and an incapability mechanism of the emergency product in the complex disaster environment are established, a typical emergency product is selected, the functions and the characteristics of the emergency product and a detection index system of the typical emergency product in the existing standard state are combined, the main influence factors, the main indexes and the change rules of the typical emergency product in the complex environment are investigated, analyzed and verified through testing, and the detection index system of the socialized emergency product in the complex disaster environment is established.
Drawings
Fig. 1 is a flow chart of an establishing method provided by the present invention.
Fig. 2 is a schematic structural diagram of an embodiment of an electronic device provided in the present invention.
Detailed Description
The following detailed description of embodiments of the present invention is provided in connection with the accompanying drawings and examples. The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.
Example one
As shown in fig. 1, a method for establishing an emergency inspection and detection index system in a complex disaster environment includes:
s1: establishing three main bodies of an emergency inspection and detection index system, namely emergency materials, emergency equipment and emergency facilities;
s2, determining the detection indexes of the three subjects respectively;
s3, determining an evaluation index of the detection index based on the detection index, wherein the evaluation index comprises environment, suitability and reliability;
s4, determining the product performance change rule and action mechanism of emergency materials, emergency equipment and emergency facilities in the complex disaster environment by combining a subjective weighting method and an objective weighting method based on the evaluation index;
and S5, establishing an emergency inspection and detection index system under the complex disaster environment according to the product performance change rule and the action mechanism.
As a preferred embodiment, the subjective weighting methods include an analytic hierarchy process and an expert scoring process; the objective weighting method comprises a fuzzy comprehensive evaluation method and a Bayesian network method.
As a preferred embodiment, the analytic hierarchy process is used as follows:
firstly, dividing a target problem into a plurality of layers by an analytic hierarchy process to form a subordination relation structure dominated by an upper level and a lower level; then, the evaluator and the expert compare every two influencing factors of each layer to obtain the proportion of each factor relative to the target of the previous layer, and finally obtain the relative important weight of the bottom layer relative to the top layer.
The analytic hierarchy process is mainly divided into five steps,
1. establishing a hierarchical structure model:
when multi-level complex problems are disassembled, the model can be divided into a highest layer, a middle layer and a lowest layer.
(1) The highest layer (i.e., the target layer). One element, represents the problem to be solved, i.e. the target to be achieved by applying the analytic hierarchy process.
(2) An intermediate layer (i.e., a standard layer). Several elements, starting and ending as intermediate links, represent the criteria to make decisions.
(3) The lowest layer (i.e., the solution layer). Several elements, listing alternatives.
2. Constructing a judgment matrix:
(1) constructing a judgment matrix for pairwise comparison: the judgment matrix is constructed by means of pairwise comparison, and the values of importance are represented by numbers from 1 to 9. And a factor A and a factor B are provided and compared, different quantized values show different meanings as shown in the table 1.
TABLE 1 Scale comparison criteria
Figure BDA0003467159410000091
(2) Calculating the relative weight of each element: for the calculation of the weight, various methods may be employed. The method adopts a root method, and comprises the following calculation steps:
a) calculating the product of elements in each row of the judgment matrix:
Figure BDA0003467159410000092
b) calculate miN root ofi：
Figure BDA0003467159410000093
c) Put vector W ═ W1，w2，...，wn)TNormalization, namely:
Figure BDA0003467159410000094
d) calculating the maximum eigenvalue lambda of the judgment matrix Amax。
3. Single criteria ordering is performed.
4. And (3) checking the consistency of the judgment matrix:
the consistency of the judgment matrix is required to avoid the occurrence of the judgment against the common sense such as "a index is more important than the index B, the index B is more important than the index C, and the index C is more important than the index a", which results in the distortion of the evaluation. The test method comprises the following steps:
a Consistency Ratio c.r. (Consistency Ratio) of the determination matrix a is defined:
Figure BDA0003467159410000101
wherein, C.I. (Consistency Index) is a compatibility Index of the matrix, and the calculation formula is as follows:
Figure BDA0003467159410000102
r.i. (Random Index) is an average Random consistency Index of a randomly constructed positive and negative matrix, and its value method is shown in table 2:
table 2 average random consistency index (r.i.)
Figure BDA0003467159410000103
Generally, if c.r. is less than or equal to 0.10, the judgment matrix a is considered to have consistency, and the weight set calculated according to the consistency is acceptable, otherwise, the judgment matrix needs to be adjusted.
5. And (3) comprehensive weight total ordering: the relative weight of each hierarchical element relative to the superior element can be calculated by the method, and the known relative weight needs to be calculated according to a proper method, so that the total ordering of the comprehensive weight is obtained.
In a preferred embodiment, the fuzzy comprehensive evaluation method is used as follows:
the fuzzy comprehensive evaluation method is a method for carrying out fuzzy quantization on problems which are difficult to quantize (particularly complex system problems) by using a fuzzy mathematical principle so as to comprehensively evaluate a system. The principle is as follows: and dividing the target to be evaluated into a plurality of layers, sequentially evaluating layer by layer from bottom to top and integrating to finally obtain the risk level of the evaluation target. The fuzzy comprehensive evaluation is divided into single-level evaluation and multi-level evaluation, and the index system of the embodiment has 3-level indexes, so that multi-level fuzzy comprehensive evaluation needs to be used.
1. Establishing a set of factors
According to the target problem, dividing the factor set U into n subsets: u ═ U1，u2，...，un}; n subsets can be further divided into Ui＝{Ui1，Ui2，...，Uin}；
2. Establishing a set of factor comments
For a question, it is ranked according to its evaluation situation and evaluation requirement, e.g. the set of comments V ═ V1，v2，...，vn}；
3. One-factor fuzzy evaluation
Listing membership degrees by an expert survey method or other methods, setting y experts to participate in evaluation, and setting a factor set Ui＝{Ui1，Ui2，...，UinAccording to the comment set V ═ V }1，v2，...，vnEvaluate, then, count up to get each factor comment viThe ratio of the number of experts to the total number of all experts is the ratio of each factor to the comment grade viTo obtain a fuzzy comprehensive evaluation matrix Ri：
Figure BDA0003467159410000111
4. First-order fuzzy comprehensive evaluation:
on the basis, each U in the index set can be obtainediWeight set A ofiAnd fuzzy evaluation matrix RiMultiplying the two to carry out primary fuzzy comprehensive evaluation:
Figure BDA0003467159410000112
further obtaining a first-level fuzzy evaluation matrix of the U
R＝(B1，B2，…BN) (8)；
5. Multi-stage fuzzy comprehensive evaluation:
multiplying the obtained first-level fuzzy evaluation matrix R and the second-level fuzzy comprehensive evaluation weight A to obtain a fuzzy comprehensive evaluation B of U:
B＝A·R＝A·(B1，B2，…BN)T＝(b1，b2，…bn) (9)；
6. and (3) calculating a comprehensive evaluation value:
and calculating a comprehensive evaluation score by combining the fuzzy comprehensive evaluation B obtained above and the numerical values corresponding to the comment set V:
P＝V·B (10)。
in a preferred embodiment, the step S4 of determining the product performance change rule and the action mechanism of the emergency materials, the emergency equipment and the emergency facilities in the complex disaster environment by combining the subjective weighting method and the objective weighting method based on the evaluation index includes:
(1) determining the product performance change rule and the action mechanism of emergency materials under the complex disaster environment, comprising the following steps: analyzing the influence factors of the snow load, the air tightness and the load pressure of the tent, researching the failure function and the change rule of the tent, establishing a related detection method, and providing reference for the adjustment of the production process parameters of related materials and the construction of a detection index system; analyzing influence factors of the permeability of the protective clothing chemicals, researching the protective requirements, the change rules and related detection methods, and establishing related detection methods and systems;
(2) determining the product performance change rule and the action mechanism of emergency equipment under the complex disaster environment, comprising the following steps: selecting protective equipment and rescue vehicles, and researching the protective requirements of the emergency equipment in a complex disaster environment by combining the characteristics and the protective action mechanism of the emergency equipment, and determining influence factors, main indexes and change rules of the main indexes from the aspects of use environment, task requirements, adaptability reliability analysis and daily maintenance;
(3) determining the product performance change rule and the action mechanism of the emergency facility under the complex disaster environment, comprising the following steps: based on key bearing components of emergency facilities under complex disaster environments, acoustic emission sources and characteristics under the conditions of no defects and typical defects are determined, an acoustic emission waveform signal database is established, characteristic identification analysis is carried out on typical acoustic emission source signals through parameter analysis, wavelet analysis, pattern identification and artificial neural network signal processing, and the relation among defect sizes, working conditions and acoustic emission characteristic parameters is determined.
As a preferred embodiment, the step S5 of establishing an emergency inspection detection index system under a complex disaster environment according to the product performance variation rule and the action mechanism includes:
the system comprises an emergency material three-level inspection detection index system, an emergency equipment three-level inspection detection index system and an emergency facility three-level inspection detection index system.
As a preferred embodiment, the emergency material three-level inspection detection index system comprises:
first-level indexes: emergency supplies;
secondary indexes are as follows: chemical protective clothing, respirators, tent test devices and air cushion beds;
and (3) three-level indexes:
(1) corresponding to chemical protective clothing: air tightness, liquid injection tightness, inward leakage rate, fabric chemical permeability, pressure penetration resistance, wear resistance, flex resistance, tearing resistance, fracture resistance, puncture resistance of chemical protective clothing with a window and low-temperature and high-temperature resistance;
(2) corresponding to a respirator: rated protection time, oxygen concentration in inspiration, carbon dioxide concentration in inspiration, inspired gas temperature, inspiration resistance of an air respirator, expiration resistance of the air respirator, breathing resistance, high and medium pressure air tightness, low pressure air tightness, mask leakage rate, temperature resistance from high temperature of 60 ℃ to low temperature of minus 30 ℃, gas supply type chemical protection performance and combustibility after strong acid, alkali and o-xylene soaking under the condition of containing a window;
(3) corresponding to the tent test device: rain, snow and wind loads;
(4) corresponding to an air cushion bed: air tightness and use pressure test, single pressure and constant pressure strength, multiple constant pressure fatigue tests and blasting mode.
As a preferred embodiment, the three-level inspection detection index system of the emergency equipment comprises:
first-level indexes: emergency equipment;
secondary indexes are as follows: high mobility rescue equipment;
and (3) three-level indexes: the test system comprises a reliability test, an obstacle crossing test, a wading performance and rain test, a cross torsion resistance test, a longitudinal stability and braking safety test, a transverse stability test, a longitudinal passing test and a traction driving test.
As a preferred embodiment, the emergency facility third-level inspection detection index system comprises:
first-level indexes: emergency facilities;
secondary indexes are as follows: key components, damage mode;
and (3) three-level indexes:
(1) corresponding to the key components: the device comprises a slewing bearing, a bearing component, a bearing steel structure and an auxiliary structure;
(2) corresponding to the damage pattern: fatigue, mechanical wear and overload.
Example two
An emergency inspection detection index system establishment device under a complex disaster environment comprises:
the system main body determining module is used for establishing three main bodies of an emergency inspection detection index system, namely emergency materials, emergency equipment and emergency facilities;
the detection index determining module is used for determining the detection indexes of the three main bodies respectively;
an evaluation index determination module, configured to determine an evaluation index of the detection index based on the detection index, where the evaluation index includes environment, suitability, and reliability;
the performance change rule and action mechanism determining module is used for determining the product performance change rules and action mechanisms of emergency materials, emergency equipment and emergency facilities in the complex disaster environment by combining a subjective weighting method and an objective weighting method based on the evaluation indexes;
and the emergency inspection detection index system establishing module is used for establishing an emergency inspection detection index system under a complex disaster environment according to the product performance change rule and the action mechanism.
The device can implement the method for establishing the index system provided in the first embodiment, and the specific test method can refer to the description in the first embodiment, which is not described herein again.
The invention also provides a memory storing a plurality of instructions for implementing the method according to the first embodiment.
As shown in fig. 2, the present invention further provides an electronic device, which includes a processor 301 and a memory 302 connected to the processor 301, where the memory 302 stores a plurality of instructions, and the instructions can be loaded and executed by the processor, so that the processor can execute the method according to the first embodiment.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including the preferred embodiment and all changes and modifications that fall within the scope of the invention. It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (10)

1. A method for establishing an emergency inspection detection index system under a complex disaster environment is characterized by comprising the following steps:
s1: establishing three main bodies of an emergency inspection and detection index system, namely emergency materials, emergency equipment and emergency facilities;
s2, determining the detection indexes of the three subjects respectively;
s3, determining an evaluation index of the detection index based on the detection index, wherein the evaluation index comprises environment, suitability and reliability;
s4, determining the product performance change rule and action mechanism of emergency materials, emergency equipment and emergency facilities in the complex disaster environment by combining a subjective weighting method and an objective weighting method based on the evaluation index;
and S5, establishing an emergency inspection and detection index system under the complex disaster environment according to the product performance change rule and the action mechanism.
2. The method for establishing the emergency inspection and detection index system in the complex disaster environment according to claim 1, wherein the subjective weighting method comprises an analytic hierarchy process and an expert scoring method; the objective weighting method comprises a fuzzy comprehensive evaluation method and a Bayesian network method;
wherein the analytic hierarchy process comprises five steps:
1) establishing a hierarchical structure model: dividing the model into a highest layer, a middle layer and a lowest layer;
(1) highest layer, i.e. target layer: an element representing the problem to be solved, i.e. the target to be achieved by applying the analytic hierarchy process;
(2) intermediate layer, i.e. standard layer: a plurality of elements, which are taken as intermediate links to start and end, show the decision according to which standard to make;
(3) bottom layer, scheme layer: a number of elements, listing alternatives;
2) constructing a judgment matrix:
(1) constructing a judgment matrix for pairwise comparison: a judgment matrix is constructed in a pairwise comparison mode, and the value of the importance is represented by numbers from 1 to 9;
(2) calculating the relative weight of each element;
3) performing single criterion sorting;
4) checking the consistency of the judgment matrix;
5) and (3) comprehensive weight total ordering: calculating the relative weight of each layer element relative to the upper element, and calculating the known relative weight according to a proper method to obtain the total comprehensive weight ranking;
the fuzzy comprehensive evaluation method is a multilevel fuzzy comprehensive evaluation and comprises the following steps:
1) establishing a factor set: according to the target problem, dividing the factor set U into n subsets: u ═ U1，u2，...，un}; the n subsets may in turn be divided into U ═ Ui1，Ui2，...，Uin}；
2) Establishing a factor comment set: for a question, it is ranked according to its evaluation situation and evaluation requirement, e.g. the set of comments V ═ V1，v2，...，vn}；
3) Single-factor fuzzy evaluation: listing membership degrees by an expert survey method or other methods, setting y experts to participate in evaluation, and carrying out factor set Ui＝{Ui1，Ui2，...，UinAccording to the comment set V ═ V }1，v2，...，vnEvaluating, and then counting to obtain the comment of each factor as viThe ratio of the number of experts to the total number of all experts is the ratio of each factor to the comment grade viTo obtain a fuzzy comprehensive evaluation matrix Ri：
Figure FDA0003467159400000021
4) First-order fuzzy comprehensive evaluation: get each U in the index setiWeight set A ofiAnd fuzzy evaluation matrix RiMultiplying the two to carry out primary fuzzy comprehensive evaluation:
Figure FDA0003467159400000022
further obtaining a first-level fuzzy evaluation matrix of the U
R＝(B1，B2，…BN)；
5) Multi-stage fuzzy comprehensive evaluation: multiplying the obtained first-level fuzzy evaluation matrix R and the second-level fuzzy comprehensive evaluation weight A to obtain a fuzzy comprehensive evaluation B of U:
B＝A·R＝A·(B1，B2，…BN)T＝(b1，b2，…bn)；
6) and (3) calculating a comprehensive evaluation value:
and calculating a comprehensive evaluation score by combining the fuzzy comprehensive evaluation B and the numerical value corresponding to the comment set V:
P＝V·B。
3. the method for establishing the emergency inspection and detection index system under the complex disaster environment according to claim 1, wherein the step S4 of determining the product performance change rules and the action mechanisms of the emergency materials, the emergency equipment and the emergency facilities under the complex disaster environment by combining a subjective weighting method and an objective weighting method based on the evaluation index comprises:
(1) determining the product performance change rule and the action mechanism of emergency materials under the complex disaster environment, comprising the following steps: analyzing the influence factors of the snow load, the air tightness and the load pressure of the tent, researching the failure function and the change rule of the tent, establishing a related detection method, and providing reference for the adjustment of the production process parameters of related materials and the construction of a detection index system; analyzing influence factors of the permeability of the protective clothing chemicals, researching the protective requirements, the change rules and related detection methods, and establishing related detection methods and systems;
(2) determining the product performance change rule and the action mechanism of emergency equipment under the complex disaster environment, comprising the following steps: selecting protective equipment and rescue vehicles, and researching the protective requirements of the emergency equipment in a complex disaster environment by combining the characteristics and the protective action mechanism of the emergency equipment, and determining influence factors, main indexes and change rules of the main indexes from the aspects of use environment, task requirements, adaptability reliability analysis and daily maintenance;
(3) determining the product performance change rule and the action mechanism of the emergency facility under the complex disaster environment, comprising the following steps: based on key bearing components of emergency facilities under complex disaster environments, acoustic emission sources and characteristics under the conditions of no defects and typical defects are determined, an acoustic emission waveform signal database is established, characteristic identification analysis is carried out on typical acoustic emission source signals through parameter analysis, wavelet analysis, pattern identification and artificial neural network signal processing, and the relation among defect sizes, working conditions and acoustic emission characteristic parameters is determined.
4. The method for establishing the emergency inspection and detection index system under the complex disaster environment according to the claim 1, wherein the step of establishing the emergency inspection and detection index system under the complex disaster environment according to the property change rule and the action mechanism of the product at S5 comprises:
the system comprises an emergency material three-level inspection detection index system, an emergency equipment three-level inspection detection index system and an emergency facility three-level inspection detection index system.
5. The method for establishing the emergency inspection and detection index system under the complex disaster environment according to claim 4, wherein the emergency material three-level inspection and detection index system comprises:
first-level indexes: emergency supplies;
secondary indexes are as follows: chemical protective clothing, respirators, tent test devices and air cushion beds;
and (3) three-level indexes:
(1) corresponding to chemical protective clothing: air tightness, liquid injection tightness, inward leakage rate, fabric chemical permeability, pressure penetration resistance, wear resistance, flex resistance, tearing resistance, fracture resistance, puncture resistance of chemical protective clothing with a window and low-temperature and high-temperature resistance;
(2) corresponding to a respirator: rated protection time, oxygen concentration in inspiration, carbon dioxide concentration in inspiration, inspired gas temperature, inspiration resistance of an air respirator, expiration resistance of the air respirator, breathing resistance, high and medium pressure air tightness, low pressure air tightness, mask leakage rate, temperature resistance from high temperature of 60 ℃ to low temperature of minus 30 ℃, gas supply type chemical protection performance and combustibility after strong acid, alkali and o-xylene soaking under the condition of containing a window;
(3) corresponding to the tent test device: rain, snow and wind loads;
(4) corresponding to an air cushion bed: air tightness and use pressure test, single pressure and constant pressure strength, multiple constant pressure fatigue tests and blasting mode.
6. The method for establishing the emergency inspection and detection index system under the complex disaster environment according to claim 4, wherein the emergency equipment three-level inspection and detection index system comprises:
first-level indexes: emergency equipment;
secondary indexes are as follows: high mobility rescue equipment;
and (3) three-level indexes: the test system comprises a reliability test, an obstacle crossing test, a wading performance and rain test, a cross torsion resistance test, a longitudinal stability and braking safety test, a transverse stability test, a longitudinal passing test and a traction driving test.
7. The method for establishing the emergency inspection and detection index system under the complex disaster environment according to claim 4, wherein the emergency facility three-level inspection and detection index system comprises:
first-level indexes: emergency facilities;
secondary indexes are as follows: key components, damage mode;
and (3) three-level indexes:
(1) corresponding to the key components: the device comprises a slewing bearing, a bearing component, a bearing steel structure and an auxiliary structure;
(2) corresponding to the damage pattern: fatigue, mechanical wear and overload.
8. An emergency inspection detection index system establishment device under a complex disaster environment for implementing the method according to any one of claims 1 to 7, comprising:
the system main body determining module is used for establishing three main bodies of an emergency inspection detection index system, namely emergency materials, emergency equipment and emergency facilities;
the detection index determining module is used for determining the detection indexes of the three main bodies respectively;
an evaluation index determination module, configured to determine an evaluation index of the detection index based on the detection index, where the evaluation index includes environment, suitability, and reliability;
the performance change rule and action mechanism determining module is used for determining the product performance change rules and action mechanisms of emergency materials, emergency equipment and emergency facilities in the complex disaster environment by combining a subjective weighting method and an objective weighting method based on the evaluation indexes;
and the emergency inspection detection index system establishing module is used for establishing an emergency inspection detection index system under a complex disaster environment according to the product performance change rule and the action mechanism.
9. An electronic device comprising a processor and a memory, the memory storing a plurality of instructions, the processor configured to read the instructions and perform the method of any of claims 1-7.
10. A computer-readable storage medium storing a plurality of instructions readable by a processor and performing the method of any one of claims 1 to 7.
CN202210032974.2A 2022-01-12 2022-01-12 Method for establishing emergency inspection detection index system under complex disaster environment Pending CN114462813A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117176623A (en) * 2023-11-02 2023-12-05 蒲惠智造科技股份有限公司 Pressure testing method and system based on flow playback

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117176623A (en) * 2023-11-02 2023-12-05 蒲惠智造科技股份有限公司 Pressure testing method and system based on flow playback
CN117176623B (en) * 2023-11-02 2024-02-13 蒲惠智造科技股份有限公司 Pressure testing method and system based on flow playback

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