CN113642914B - Powder electrostatic spraying enterprise dust explosion risk assessment method and system - Google Patents
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- 238000004880 explosion Methods 0.000 title claims abstract description 116
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Abstract
The application relates to a powder electrostatic spraying enterprise dust explosion risk assessment method and system, wherein the method comprises the following steps: constructing a dust explosion risk assessment index system, and determining a first-level index, a second-level index and a third-level index in the dust explosion risk assessment index system; the first-level index comprises a plurality of second-level indexes, and the second-level index comprises a plurality of third-level indexes. And determining the weight of each three-level index, determining the risk evaluation value of each three-level index of the powder electrostatic spraying enterprise to be evaluated, and obtaining the risk grade of each two-level index according to the weight of each three-level index and the risk evaluation value of each three-level index. And obtaining the risk level of each primary index according to the risk level of each secondary index and the preset weight of each secondary index. And finally, determining the final risk level of the electrostatic powder spraying enterprise to be evaluated based on a pre-established risk level coordinate system according to the risk level of each level of index. In the application, dust explosion risk assessment is more accurate through a plurality of indexes of multiple stages.
Description
Technical Field
The application relates to the technical field of dust explosion risk prevention and control, in particular to a dust explosion risk assessment method and system for a powder electrostatic spraying enterprise.
Background
How to objectively evaluate the risk of dust explosion of a powder electrostatic spraying enterprise so as to find the risk factors existing in the electrostatic spraying process and improve the production safety of the enterprise, and the risk factors become the problem which is urgently solved by the related party in the powder electrostatic spraying industry. In the prior art, related researches on dust explosion prevention and control of powder electrostatic spraying enterprises mainly focus on risk assessment of related enterprises according to explosion characteristic parameters of common powder coatings, and the risk assessment results are inaccurate due to fewer indexes.
Disclosure of Invention
In order to solve the problems that indexes for carrying out dust explosion risk assessment reference on a powder electrostatic spraying enterprise are less and risk assessment results are inaccurate in the related technology at least to a certain extent, the application provides a dust explosion risk assessment method and system for the powder electrostatic spraying enterprise.
The scheme of the application is as follows:
according to a first aspect of embodiments of the present application, there is provided a powder explosion risk assessment method for a powder electrostatic spraying enterprise, including:
constructing a dust explosion risk assessment index system;
determining a first-level index, a second-level index and a third-level index in the dust explosion risk assessment index system; the first-level index comprises a plurality of second-level indexes, and the second-level index comprises a plurality of third-level indexes;
determining the weight of each three-level index;
determining risk evaluation values of all three-level indexes of the powder electrostatic spraying enterprise to be evaluated;
according to the weight of each third-level index and the risk evaluation value of each third-level index, obtaining the risk grade of each second-level index;
according to the risk level of each secondary index and the preset weight of each secondary index, obtaining the risk level of each primary index;
and determining the final risk level of the powder electrostatic spraying enterprise to be evaluated based on a pre-established risk level coordinate system according to the risk level of each primary index.
Preferably, in one implementation manner of the present application, the constructing a powder explosion risk assessment index system of a powder electrostatic spraying enterprise includes:
and determining the structural relation of the dust explosion risk assessment index system according to the relation among the targets, the criteria and the objects, and constructing a hierarchical model of the dust explosion risk assessment index system.
Preferably, in one implementation manner of the present application, the determining the weight of each of the three-level indicators includes:
determining the average cognition degree and the cognition blindness of each three-level index;
obtaining an evaluation vector of each three-level index according to the average cognition degree and the cognition blindness of each three-level index;
and carrying out normalization processing on the evaluation vectors of the three-level indexes to obtain the weight of each three-level index.
Preferably, in one implementation manner of the present application, the determining the average cognition degree and the cognitive blindness of each of the three-level indexes includes:
obtaining sequencing data, wherein the sequencing data comprises: importance degree sequencing results of a plurality of groups of three-level indexes; the importance ranking result is expressed as an index ranking matrix;
converting the importance ranking result into a quantitative result through a membership function;
and determining the average cognition degree and the cognitive blindness of each three-level index according to the quantitative result.
Preferably, in one implementation manner of the present application, the determining the risk evaluation value of each of the three-level indicators of the powder electrostatic spraying enterprise to be evaluated includes:
acquiring evaluation data of each three-level index of a plurality of groups of powder electrostatic spraying enterprises to be evaluated, wherein the evaluation data comprises: the ratio of each evaluation risk level of the three-level index corresponds to the ratio;
generating an evaluation information matrix according to the evaluation data;
and processing the evaluation information matrix based on a D number theory to obtain a plurality of groups of evaluation information D numbers of the three-level indexes, and taking the evaluation information D numbers of the three-level indexes as risk evaluation values of the three-level indexes.
Preferably, in an implementation manner of the present application, the obtaining the risk level of each of the secondary indexes according to the weight of each of the tertiary indexes and the risk evaluation value of each of the tertiary indexes includes:
obtaining evaluation aggregation values of a plurality of groups of secondary indexes to which the tertiary indexes belong according to the weights of the tertiary indexes and the risk evaluation values of the plurality of groups of tertiary indexes;
calculating to obtain the average number of the evaluation aggregation values of a plurality of groups of the secondary indexes as the risk score of the secondary indexes;
and determining the risk level of the secondary index according to the risk score of the secondary index.
Preferably, in one implementable manner of the present application, the method further includes:
if the secondary index is explosion intensity, acquiring actual values of the explosion overpressure of the tertiary index and the explosion index of the tertiary index, and determining the risk level of the explosion intensity of the secondary index according to the explosion overpressure of the tertiary index, the actual values of the explosion index of the tertiary index and a preset dust explosion intensity level dividing table;
and if the secondary index is the dust explosion environment, acquiring actual values of the minimum ignition temperature of the tertiary index, the minimum ignition energy of the tertiary index and the explosion lower limit of the tertiary index, and determining the risk level of the dust explosion environment of the secondary index according to the actual values of the minimum ignition temperature of the tertiary index, the minimum ignition energy of the tertiary index and the explosion lower limit of the tertiary index and a preset dust explosion environment grading table.
Preferably, in one implementation manner of the present application, the first-level index is three, and the method further includes:
establishing a three-dimensional risk level coordinate system by taking each first-level index as an axis;
setting the risk level corresponding to each coordinate in the three-dimensional risk level coordinate system.
Preferably, in one implementable manner of the present application, the method further includes:
and sending corresponding corrective measures to the powder electrostatic spraying enterprise to be evaluated according to the final risk level of the powder electrostatic spraying enterprise to be evaluated.
According to a second aspect of embodiments of the present application, there is provided a powder electrostatic spraying enterprise dust explosion risk assessment system, including:
a processor and a memory;
the processor is connected with the memory through a communication bus:
the processor is used for calling and executing the program stored in the memory;
the memory is used for storing a program, and the program is at least used for executing the powder electrostatic spraying enterprise dust explosion risk assessment method.
The technical scheme that this application provided can include following beneficial effect: the dust explosion risk assessment method for the powder electrostatic spraying enterprise comprises the following steps: constructing a dust explosion risk assessment index system, and determining a first-level index, a second-level index and a third-level index in the dust explosion risk assessment index system; the first-level index comprises a plurality of second-level indexes, and the second-level index comprises a plurality of third-level indexes. In the application, indexes for evaluating dust explosion risks are classified layer by layer, and each stage is provided with a plurality of indexes. During implementation, the weight of each three-level index is determined, the risk evaluation value of each three-level index of a powder electrostatic spraying enterprise to be evaluated is determined, and the risk grade of each two-level index is obtained according to the weight of each three-level index and the risk evaluation value of each three-level index. And obtaining the risk level of each primary index according to the risk level of each secondary index and the preset weight of each secondary index. And finally, determining the final risk level of the electrostatic powder spraying enterprise to be evaluated based on a pre-established risk level coordinate system according to the risk level of each level of index. In the method, dust explosion risk assessment is carried out on the powder electrostatic spraying enterprise to be assessed through a plurality of indexes in multiple stages, and the assessment result is more accurate.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.
FIG. 1 is a schematic flow chart of a powder explosion risk assessment method for a powder electrostatic spraying enterprise according to an embodiment of the present application;
FIG. 2 is a schematic flow chart of determining weights of three levels of indicators in a powder explosion risk assessment method for a powder electrostatic spraying enterprise according to an embodiment of the present application;
FIG. 3 is a detailed diagram of various levels of indicators and corresponding weights in a powder explosion risk assessment method for a powder electrostatic spraying enterprise according to an embodiment of the present disclosure;
FIG. 4 is a schematic diagram of a three-dimensional magic cube established in a powder explosion risk assessment method for a powder electrostatic spraying enterprise according to an embodiment of the present application;
FIG. 5 is a schematic diagram of a powder explosion risk assessment system for a powder electrostatic spraying enterprise according to an embodiment of the present application
Reference numerals: a processor-21; and a memory 22.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present application as detailed in the accompanying claims.
A powder electrostatic spraying enterprise dust explosion risk assessment method, referring to fig. 1, includes:
s11: constructing a dust explosion risk assessment index system;
and determining the structural relation of the dust explosion risk assessment index system according to the relation among the targets, the criteria and the objects, and constructing a hierarchical model of the dust explosion risk assessment index system. Specifically, a dust explosion risk assessment index system based on three primary indexes of explosion probability, explosion severity and safety management of dust explosion accidents is constructed.
S12: determining a first-level index, a second-level index and a third-level index in a dust explosion risk assessment index system; the first-level index comprises a plurality of second-level indexes, and the second-level index comprises a plurality of third-level indexes;
the dust explosion risk assessment index is specifically as follows:
s13: determining the weight of each three-level index;
referring to fig. 2, comprising:
s131: determining the average cognition degree and the cognition blindness of each three-level index;
s132: obtaining an evaluation vector of each three-level index according to the average cognition degree and the cognition blindness of each three-level index;
s133: and carrying out normalization processing on the evaluation vectors of the three-level indexes to obtain the weights of the three-level indexes.
Wherein determining the average cognition degree and the cognitive blindness of each three-level index comprises: determining the average cognition degree and the cognitive blindness of each three-level index comprises the following steps:
acquiring sequencing data, wherein the sequencing data comprises: importance ranking results of a plurality of groups of three-level indexes; the importance ranking result is expressed as an index ranking matrix;
converting the importance ranking result into a quantitative result through a membership function;
and determining the average cognition degree and the cognitive blindness of each three-level index according to the quantitative result.
In this embodiment, the obtaining the ordering data specifically includes: and sending questionnaires to a plurality of experts with representativeness, authority and fairness in the industry so as to obtain different sequencing results of importance of the three-level indexes by different experts. Preferably, the method comprises the steps of,
processing the sequencing results filled in each questionnaire to form an index set: the n index ranking matrices are represented by k experts as matrix a (a ij )，a ij Representing the evaluation of the jth index by the ith expert, "1" indicates the highest index importance.
The importance ranking result may be converted to a quantitative result by a membership function.
Membership degree of I:
m=j+2, j is the number of indices, I is the qualitative ranking value of a certain index evaluated by a certain expert.
Examples: an expert obtains five indexes r through evaluation 1 ,r 2 ,r 3 ,r 4 ,r 5 Is 5,2,3,4,1. Then represents index r 5 Is most important, i=1.
Average awareness b j Representing k expert pairs index r j The evaluation consistency degree is calculated as follows:
cognitive blindness sigma j represents For k expert pairs index r j The uncertainty of the assessment is calculated as follows:
comprehensive understanding degree X j Refer to k expert pairs for each index r j The evaluation vector of (c) can be expressed as x= (X) 1 ,x 2 …x k ) The calculation formula is as follows:
X j ＝b j (1-σ j ) (4)
to obtain index r j Is subjected to normalization processing.
ω＝(ω 1 ,ω 2 ,…ω j ) Representative index set r= (R) 1 ,r 2 ,…r j ) Is used for the weight vector of (a).
S14: determining risk evaluation values of three-level indexes of a powder electrostatic spraying enterprise to be evaluated;
comprising the following steps:
acquiring evaluation data of each three-level index of a plurality of groups of powder electrostatic spraying enterprises to be evaluated, wherein the evaluation data comprise: the ratio of each evaluation risk level of the three-level index corresponds to;
generating an evaluation information matrix according to the evaluation data;
and processing the evaluation information matrix based on the D number theory to obtain a plurality of groups of evaluation information D numbers of the three-level indexes, and taking the evaluation information D numbers of the three-level indexes as risk evaluation values of the three-level indexes.
The method for acquiring the evaluation data of each three-level index of the electrostatic powder spraying enterprises to be evaluated comprises the following steps: questionnaires are sent to a plurality of experts with representativeness, authority and fairness in the industry, and language sets related to dust explosion risk assessment are recorded in the questionnaires. Grouping the questionnaires filled in by the received experts, thereby obtaining evaluation values of a plurality of groups of experts for each three-level index. Further generates an evaluation information matrix based on the evaluation data,
The D number theory is a new uncertain information processing tool based on the evidence theory, fully absorbs some limitations and defects of the evidence theory, and is widely applied. In this embodiment, the evaluation information matrix is processed based on the D number theory to obtain a plurality of sets of evaluation information D numbers of each three-level index, and the evaluation information D numbers of each three-level index are used as risk evaluation values of each three-level index.
S15: according to the weight of each third-level index and the risk evaluation value of each third-level index, obtaining the risk level of each second-level index;
comprising the following steps:
obtaining evaluation aggregation values of the secondary indexes of the multiple groups of the three-level indexes according to the weights of the three-level indexes and the risk evaluation values of the multiple groups of the three-level indexes;
calculating to obtain the average number of the evaluation aggregation values of a plurality of groups of secondary indexes as the risk score of the secondary indexes;
and determining the risk level of the secondary index according to the risk score of the secondary index.
In this embodiment, specific data are illustrated:
in this embodiment, a questionnaire is sent to 20 experts, and the 20 experts are divided into 4 groups of 5 people each, so that they perform qualitative rating on the evaluation index. The related language set for dust explosion risk assessment provided for the expert is as follows: v, V; v= { V1: very small; v2: is small; v3: generally; v4: large; v5: very large) for use by an expert in filling out an evaluation form. In this embodiment, a secondary index environment layout (C11) is taken as an example for detailed description.
The ranking results of the three-level indexes included in the two-level index environment layout (C11) by the 4 groups of experts are as follows:
obtaining a rank matrix A
Calculating a membership matrix B according to a formula (4) and the matrix A 1 Wherein m is 6.
Calculating to obtain the consistency degree of the expert on index evaluation:
based on the above calculation structure and combining the formulas (2) and (3), the cognitive blindness sigma of all the experts on the index can be obtained j . Then according to the cognitive blindness sigma j And equation (4) to calculate the evaluation vector X. And finally, obtaining the weight of each index by adopting a normalization processing method. The calculation results of the parameters are shown in the following table, and similarly, the weight distribution of other indexes can be obtained through refinement.
The expert evaluates the three-level indexes included in the two-level index environment layout (C11) according to the provided language set, and the evaluation results are shown in the following table:
taking expert group E1 as an example, the expert group E1 rates v2 for the three-level index dust quantity (C111) at 30% and v3 at 70%, and so on.
And analyzing and processing the evaluation information matrix provided by the table based on the D number theory.
Taking the index C111 as an example, the number of evaluation information D of the expert group is expressed as:
the remaining indexes are the same.
Further calculating by using the aggregation attribute of the D number to obtain:
further finishing to obtain
By combining the three-level index weight under the two-level index environment layout (C11), the aggregation attribute of the D number is further utilized, and under the condition that the weight needs to be considered, the aggregation rule of the D number needs to be improved as follows:
wherein omega i Corresponding weight information. Taking expert group E1 as an example:
I(E 1 )＝ω 111 ×C 111 +ω 112 ×C 112 +ω 113 ×C 113 +ω 114 ×C 114 ＝
0.287×2.7+0.236×2.6+0.287×2.5+0.189×2.8＝2.6352
the final evaluation aggregate values for the expert groups E2, E3 and E4 were:
I(E 2 )＝4.5518，I(E 3 )＝3.5764，I(E 4 )＝1.493。
the final evaluation score of the secondary index environment layout (C11) is given by the average of four expert groups' opinion:
referring to a preset risk level dividing table:
the risk level of the secondary index environment layout (C11) is determined to be level III according to the risk score 3.0641 of the secondary index environment layout (C11).
S16: obtaining the risk level of each primary index according to the risk level of each secondary index and the preset weight of each secondary index;
the weight of each secondary index is preset, and the weight of each secondary index can be referred to fig. 3.
According to the risk level of each secondary index and the preset weight of each secondary index, the risk level of each primary index is obtained, and the calculation method is illustrated by the following example:
the comprehensive management level of the second-level index is II, the management level of personnel is III, the management level of equipment and facilities is III, and the weight coefficients of the second-level index, the personnel and the facilities are respectively 0.5, 0.2 and 0.3. Calculating the level of primary index safety management: 0.5x2+0.2x3+0.3x3=2.5, and the level of the first-level index security management is level ii with reference to a preset risk level division table.
S17: and determining the final risk level of the electrostatic powder spraying enterprise to be evaluated based on a pre-established risk level coordinate system according to the risk level of each level index.
Preferably, because the first-level index is three, the method further comprises:
establishing a three-dimensional risk level coordinate system by taking each level index as an axis;
setting a risk level corresponding to each coordinate in the three-dimensional risk level coordinate system.
In this embodiment, coordinates of the three primary indexes on the respective axes may be determined in a three-dimensional risk level coordinate system according to the risk level values of the three primary indexes obtained in S16, so as to obtain three-dimensional coordinates representing the final risk level of the powder electrostatic spraying enterprise to be evaluated, and the final risk level of the powder electrostatic spraying enterprise to be evaluated may be determined according to the three-dimensional coordinates and the risk level corresponding to each coordinate in the preset three-dimensional risk level coordinate system.
Preferably, referring to fig. 4, the three-dimensional risk level coordinate system may be presented as a three-dimensional cube visual, with different regions of the three-dimensional cube representing different risk levels.
The powder electrostatic spraying enterprise dust explosion risk assessment method in some embodiments further comprises:
if the secondary index is explosion intensity, acquiring actual values of the explosion overpressure of the tertiary index and the explosion index of the tertiary index, and determining the risk level of the explosion intensity of the secondary index according to the explosion overpressure of the tertiary index, the actual values of the explosion index of the tertiary index and a preset dust explosion intensity level dividing table;
if the secondary index is the dust explosion environment, acquiring actual values of the minimum ignition temperature of the tertiary index, the minimum ignition energy of the tertiary index and the explosion lower limit of the tertiary index, and determining the risk level of the dust explosion environment of the secondary index according to the minimum ignition temperature of the tertiary index, the minimum ignition energy of the tertiary index, the actual values of the explosion lower limit of the tertiary index and a preset dust explosion environment grading table.
Since the two secondary indexes of the explosion intensity and the dust explosion environment are determined by the explosion characteristics of dust, the corresponding risk level needs to be calculated separately from other indexes.
The explosion strength is mainly formed by explosion overpressure (P max ) Explosion index (K) st ) The rank size is determined.
The dust explosion intensity classification is as follows:
the dust explosion environment is mainly comprehensively measured by Minimum Ignition Energy (MIE), minimum Ignition Temperature (MIT) and lower explosion limit (MEC). Wherein the minimum firing temperature includes: minimum ignition temperature of dust cloud (MIT) C ) And a dust layer Minimum Ignition Temperature (MIT) L ) Minimum Ignition Temperature (MIT) is taken to be MIT C Or MIT L Both lower values. The classification of each three-level index included in the dust explosion environment is preset, and the classification of the dust explosion environment is determined through the three-dimensional magic cube matrix in the embodiment.
The dust explosion environment classification table is as follows:
by way of example, it was found that the MIE of the resin powder was 235mJ, the MIT (C/L) was 695/200deg.C, and the MEC was 25g/m 3 Therefore, the grade of the dust explosion environment is grade II; p of resin powder max 0.6Mpa, K st Since the explosion strength was 11.07 MPa.m/s, the grade was class III.
The powder electrostatic spraying enterprise dust explosion risk assessment method in some embodiments further comprises:
and sending corresponding corrective measures to the powder electrostatic spraying enterprise to be evaluated according to the final risk level of the powder electrostatic spraying enterprise to be evaluated.
In this embodiment, corresponding corrective measures are formulated for the powder electrostatic spraying enterprise to be evaluated according to the final risk level of the powder electrostatic spraying enterprise to be evaluated, and the formulated corrective measures are sent to the powder electrostatic spraying enterprise to be evaluated.
A powder electrostatic spray enterprise dust explosion risk assessment system, referring to fig. 5, comprising:
a processor 21 and a memory 22;
the processor 21 is connected to the memory 22 via a communication bus:
wherein the processor 21 is used for calling and executing the program stored in the memory 22;
the memory 22 is configured to store a program, where the program is at least configured to perform one of the powder electrostatic spraying enterprise dust explosion risk assessment methods according to any of the above embodiments.
It is to be understood that the same or similar parts in the above embodiments may be referred to each other, and that in some embodiments, the same or similar parts in other embodiments may be referred to.
It should be noted that in the description of the present application, the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Furthermore, in the description of the present application, unless otherwise indicated, the meaning of "plurality" means at least two.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and further implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present application.
It is to be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
Those of ordinary skill in the art will appreciate that all or a portion of the steps carried out in the method of the above-described embodiments may be implemented by a program to instruct related hardware, where the program may be stored in a computer readable storage medium, and where the program, when executed, includes one or a combination of the steps of the method embodiments.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing module, or each unit may exist alone physically, or two or more units may be integrated in one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated modules may also be stored in a computer readable storage medium if implemented in the form of software functional modules and sold or used as a stand-alone product.
The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, or the like.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present application have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the application, and that variations, modifications, alternatives, and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the application.
Claims (8)
1. The powder electrostatic spraying enterprise dust explosion risk assessment method is characterized by comprising the following steps of:
constructing a dust explosion risk assessment index system;
determining a first-level index, a second-level index and a third-level index in the dust explosion risk assessment index system; the first-level index comprises a plurality of second-level indexes, and the second-level index comprises a plurality of third-level indexes;
determining the weight of each three-level index;
determining risk evaluation values of all three-level indexes of the powder electrostatic spraying enterprise to be evaluated;
according to the weight of each third-level index and the risk evaluation value of each third-level index, obtaining the risk grade of each second-level index;
according to the risk level of each secondary index and the preset weight of each secondary index, obtaining the risk level of each primary index;
determining the final risk level of the powder electrostatic spraying enterprise to be evaluated based on a pre-established risk level coordinate system according to the risk level of each first-level index;
the determining the risk evaluation value of each three-level index of the powder electrostatic spraying enterprise to be evaluated comprises the following steps:
acquiring evaluation data of each three-level index of a plurality of groups of powder electrostatic spraying enterprises to be evaluated, wherein the evaluation data comprises: the ratio of each evaluation risk level of the three-level index corresponds to the ratio;
generating an evaluation information matrix according to the evaluation data;
processing the evaluation information matrix based on a D number theory to obtain a plurality of groups of evaluation information D numbers of the three-level indexes, and taking the evaluation information D numbers of the three-level indexes as risk evaluation values of the three-level indexes;
the step of obtaining the risk level of each secondary index according to the weight of each tertiary index and the risk evaluation value of each tertiary index comprises the following steps:
obtaining evaluation aggregation values of a plurality of groups of secondary indexes to which the tertiary indexes belong according to the weights of the tertiary indexes and the risk evaluation values of the plurality of groups of tertiary indexes;
calculating to obtain the average number of the evaluation aggregation values of a plurality of groups of the secondary indexes as the risk score of the secondary indexes;
determining the risk level of the secondary index according to the risk score of the secondary index;
wherein, the first-level index includes: explosion severity, safety management, and explosion probability;
the secondary indexes corresponding to the explosion severity index comprise: environmental layout, equipment and explosion intensity;
the three-level indexes corresponding to the environment layout indexes comprise: dust quantity, building layout, process layout and personnel distribution;
the three-level indexes corresponding to the facility indexes comprise: explosion-proof facilities, fire-fighting facilities, pressure difference monitoring and dust concentration monitoring;
the three-level indexes corresponding to the explosion intensity indexes comprise: explosion overpressure and explosion index;
the secondary indexes corresponding to the safety management indexes comprise: comprehensive management, personnel management and equipment facility management;
the three-level indexes corresponding to the comprehensive management indexes comprise: dust cleaning, emergency management, hidden danger investigation and risk management;
the three-level indexes corresponding to the personnel management indexes comprise: behavior specification and training education;
the three-level indexes corresponding to the equipment facility management indexes comprise: operation process supervision, safety operation regulations and equipment overhaul schedule;
the secondary indexes corresponding to the explosion possibility indexes comprise: ignition source control and dust explosion environment;
the three-level index corresponding to the ignition source control index includes: high temperature equipment control, open flame control, electrostatic control and mechanical spark control;
the three-level indexes corresponding to the dust explosion environment indexes comprise: minimum ignition temperature, minimum ignition energy, and lower explosion limit.
2. The method of claim 1, wherein the constructing a powder electrostatic spraying enterprise dust explosion risk assessment index system comprises:
and determining the structural relation of the dust explosion risk assessment index system according to the relation among the targets, the criteria and the objects, and constructing a hierarchical model of the dust explosion risk assessment index system.
3. The method of claim 1, wherein said determining the weight of each of said three-level metrics comprises:
determining the average cognition degree and the cognition blindness of each three-level index;
obtaining an evaluation vector of each three-level index according to the average cognition degree and the cognition blindness of each three-level index;
and carrying out normalization processing on the evaluation vectors of the three-level indexes to obtain the weight of each three-level index.
4. The method of claim 3, wherein said determining the average cognition and the cognitive blindness of each of said tertiary metrics comprises:
obtaining sequencing data, wherein the sequencing data comprises: importance degree sequencing results of a plurality of groups of three-level indexes; the importance ranking result is expressed as an index ranking matrix;
converting the importance ranking result into a quantitative result through a membership function;
and determining the average cognition degree and the cognitive blindness of each three-level index according to the quantitative result.
5. The method as recited in claim 1, further comprising:
if the secondary index is explosion intensity, acquiring actual values of the explosion overpressure of the tertiary index and the explosion index of the tertiary index, and determining the risk level of the explosion intensity of the secondary index according to the explosion overpressure of the tertiary index, the actual values of the explosion index of the tertiary index and a preset dust explosion intensity level dividing table;
and if the secondary index is the dust explosion environment, acquiring actual values of the minimum ignition temperature of the tertiary index, the minimum ignition energy of the tertiary index and the explosion lower limit of the tertiary index, and determining the risk level of the dust explosion environment of the secondary index according to the actual values of the minimum ignition temperature of the tertiary index, the minimum ignition energy of the tertiary index and the explosion lower limit of the tertiary index and a preset dust explosion environment grading table.
6. The method of claim 1, wherein the primary index is three, the method further comprising:
establishing a three-dimensional risk level coordinate system by taking each first-level index as an axis;
setting the risk level corresponding to each coordinate in the three-dimensional risk level coordinate system.
7. The method as recited in claim 1, further comprising:
and sending corresponding corrective measures to the powder electrostatic spraying enterprise to be evaluated according to the final risk level of the powder electrostatic spraying enterprise to be evaluated.
8. A powder electrostatic spraying enterprise dust explosion risk assessment system, comprising:
a processor and a memory;
the processor is connected with the memory through a communication bus:
the processor is used for calling and executing the program stored in the memory;
the memory is used for storing a program at least for executing a dust explosion risk assessment method of a powder electrostatic spraying enterprise according to any one of claims 1 to 7.
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