CN113642914A - Dust explosion risk assessment method and system for powder electrostatic spraying enterprise - Google Patents
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Abstract
The application relates to a dust explosion risk assessment method and system for powder electrostatic spraying enterprises, 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 indexes comprise a plurality of second-level indexes, and the second-level indexes comprise a plurality of third-level indexes. When the method is implemented, the weight of each three-level index is determined, the risk evaluation value of each three-level index of the 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 grade of each primary index according to the risk grade of each secondary index and the preset weight of each secondary index. And finally, 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 level index. In this application, carry out dust explosion risk assessment more accurately through a plurality of indexes of multistage.
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
In recent years, the powder electrostatic spraying industry in China enters a rapid development period, but dust explosion accidents happen sometimes in the production process of the powder electrostatic spraying industry, and huge casualties and property loss are easily caused, and dust explosion prevention becomes an important work field for preventing and restraining super-huge accidents in the industry and trade in China. Therefore, how to objectively evaluate the risk of dust explosion of the powder electrostatic spraying enterprise to find the dangerous factors existing in the electrostatic spraying process and improve the production safety of the enterprise is a problem to be urgently solved by related parties in the powder electrostatic spraying industry. Related research on dust explosion prevention and control of powder electrostatic spraying enterprises in the prior art mainly focuses on risk assessment of related enterprises according to explosion characteristic parameters of common powder coatings, and due to the fact that reference indexes are few, risk assessment results are not accurate.
Disclosure of Invention
In order to overcome the problems that in the related art, the indexes for dust explosion risk assessment reference of powder electrostatic spraying enterprises are few, and the risk assessment result is not accurate, the application provides a dust explosion risk assessment method and system for the powder electrostatic spraying enterprises.
The scheme of the application is as follows:
according to a first aspect of the embodiments of the present application, there is provided a dust 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 indexes comprise a plurality of second-level indexes, and the second-level indexes comprise a plurality of third-level indexes;
determining the weight of each three-level index;
determining the risk evaluation value of each three-level index of a powder electrostatic spraying enterprise to be evaluated;
obtaining the risk grade of each secondary index according to the weight of each tertiary index and the risk evaluation value of each tertiary index;
obtaining the risk grade of each primary index according to the risk grade of each secondary index and the preset weight of each secondary 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 an implementation manner of the present application, the method for constructing the dust explosion risk assessment indicator system of the powder electrostatic spraying enterprise comprises the following steps:
and determining the structural relationship of the dust explosion risk assessment index system according to the relationship among the targets, the criteria and the objects, and constructing a hierarchical model of the dust explosion risk assessment index system.
Preferably, in an implementable 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 degree of each three-level index;
obtaining an evaluation vector of each three-level index according to the average cognition degree and the cognition blindness degree of each three-level index;
and carrying out normalization processing on the evaluation vector of each three-level index to obtain the weight of each three-level index.
Preferably, in an implementable manner of the present application, the determining the average cognition and the cognitive blindness of each of the three-level indicators comprises:
obtaining ranking data, the ranking data comprising: a plurality of groups of importance ranking results of the 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 cognition blindness degree of each three-level index according to the quantitative result.
Preferably, in an implementation manner of the present application, the determining the risk evaluation value of each of the three-level indexes of the electrostatic powder spraying enterprise to be evaluated includes:
obtaining 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 corresponding to each evaluation risk level of the three-level index;
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 each three-level index, and taking the evaluation information D numbers of each three-level index as risk evaluation values of each three-level index.
Preferably, in an implementation manner of the present application, the obtaining a 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 an evaluation aggregation value of a plurality of groups of secondary indexes to which each tertiary index belongs according to the weight of each tertiary index and a plurality of groups of risk evaluation values of each tertiary index;
calculating to obtain the average 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 grade of the secondary index according to the risk score of the secondary index.
Preferably, in an implementation manner of the present application, the method further includes:
if the secondary index is the explosion intensity, acquiring the explosion overpressure of the tertiary index and the actual numerical value of 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 numerical value of the explosion index of the tertiary index and a preset dust explosion intensity level division table;
and if the secondary index is the dust explosion environment, acquiring the minimum ignition temperature of the tertiary index, the minimum ignition energy of the tertiary index and the actual value of 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 value of the explosion lower limit of the tertiary index and a preset dust explosion environment classification table.
Preferably, in an implementable manner of the present application, the primary indicators are three, and the method further comprises:
establishing a three-dimensional risk grade coordinate system by taking each primary index as an axis;
and setting the risk level corresponding to each coordinate in the three-dimensional risk level coordinate system.
Preferably, in an implementation manner of the present application, the method further includes:
and sending corresponding correction 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 the embodiments of the present application, there is provided a dust explosion risk assessment system for an electrostatic powder spraying enterprise, including:
a processor and a memory;
the processor and the memory are connected 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 provided by the application can comprise the following beneficial effects: 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 indexes comprise a plurality of second-level indexes, and the second-level indexes comprise a plurality of third-level indexes. In the application, the indexes for evaluating the dust explosion risk are graded layer by layer, and each grade has 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 the 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 grade of each primary index according to the risk grade of each secondary index and the preset weight of each secondary index. And finally, 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 level index. In the application, the dust explosion risk assessment is carried out on the powder electrostatic spraying enterprise to be assessed through a plurality of multi-level indexes, 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 present application and together with the description, serve to explain the principles of the application.
Fig. 1 is a schematic flow chart of a dust explosion risk assessment method for an electrostatic powder spraying enterprise according to an embodiment of the present application;
FIG. 2 is a schematic flow chart illustrating a process of determining weights of three levels of indicators in a dust explosion risk assessment method for electrostatic powder coating enterprises according to an embodiment of the present application;
fig. 3 is a detailed diagram of indexes at different levels and corresponding weights in a dust explosion risk assessment method for electrostatic powder coating enterprises according to an embodiment of the present application;
fig. 4 is a schematic diagram of a three-dimensional magic cube established in a dust explosion risk assessment method for a powder electrostatic spraying enterprise according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a dust explosion risk assessment system of an electrostatic powder coating enterprise according to an embodiment of the present application
Reference numerals: a processor-21; a memory-22.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
A dust explosion risk assessment method for powder electrostatic spraying enterprises, referring to FIG. 1, includes:
s11: constructing a dust explosion risk assessment index system;
and determining the structural relationship of the dust explosion risk assessment index system according to the relationship 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 possibility, 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 indexes comprise a plurality of second-level indexes, and the second-level indexes comprise a plurality of third-level indexes;
the dust explosion risk assessment indexes are as follows:
s13: determining the weight of each three-level index;
referring to fig. 2, including:
s131: determining the average cognition degree and the cognition blindness degree 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 degree of each three-level index;
s133: and carrying out normalization processing on the evaluation vector of each three-level index to obtain the weight of each three-level index.
Wherein, determining the average cognition degree and the cognition blindness degree of each three-level index comprises the following steps: determining the average cognition degree and the cognition blindness degree of each three-level index, comprising the following steps:
obtaining sequencing data, the sequencing data comprising: a plurality of groups of importance ranking results of each three-level index; 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 cognition blindness degree of each three-level index according to the quantitative result.
In this embodiment, the acquiring the sorting data specifically includes: and sending a questionnaire to a plurality of experts with representativeness, authority and fairness in the industry, thereby obtaining different sorting results of different experts on the importance of the three-level indexes. Preferably, the first and second liquid crystal materials are,
processing the sorting result filled in each questionnaire to form an index set: the k experts rank the n indices matrix as matrix A (a)ij)，aijRepresenting the evaluation of the jth index by the ith expert, and "1" represents the highest index importance.
The importance ranking results may be converted to quantitative results by membership functions.
Degree of membership of I:
m is j +2, j is the number of indicators, and I is the qualitative ranking value of an indicator evaluated by an expert.
Example (c): one expert obtains five indexes r through evaluation1,r2,r3,r4,r5The set of qualitative ranks of (1) is 5,2,3,4, 1. Then represents the index r5Is most important, I ═ 1.
Average degree of recognition bjRepresenting k expert pairs index rjThe evaluation of the degree of consistency, the calculation formula is as follows:
cognitive blindness σj representsFor k expert pairs index rjThe uncertainty of the evaluation is calculated as follows:
σj＝|{[max(b1j，b2j，…bkj)-bj]+[bj-min(b1j，b2j，…bkj)]}/2| (3)
comprehensive understanding degree XjIndicates k experts to each index rjThe evaluation vector of (a) can be expressed as X ═ X (X)1,x2…xk) The calculation formula is as follows:
Xj＝bj(1-σj) (4)
to obtain an index rjThe weight of (2) needs to be normalized.
ω＝(ω1,ω2,....ωj) Representative index set R ═ (R)1,r2,…rj) The weight vector of (2).
S14: determining the risk evaluation value of each three-level index of the powder electrostatic spraying enterprise to be evaluated;
the method comprises the following steps:
obtaining 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 following steps: the ratio corresponding to each evaluation risk level of the three-level index;
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 each three-level index, and taking the evaluation information D numbers of each three-level index as risk evaluation values of each three-level index.
The method for acquiring the evaluation data of each three-level index of a plurality of groups of powder electrostatic spraying enterprises to be evaluated comprises the following steps: and sending a questionnaire to a plurality of experts with representativeness, authority and fairness in the industry, wherein the questionnaire is recorded with a language set related to dust explosion risk assessment. And grouping the received questionnaires filled by the experts so as to obtain the evaluation values of the multiple groups of experts on the indexes of the three levels. Further generating an evaluation information matrix according to the evaluation data,
The D number theory is a new uncertain information processing tool based on the evidence theory, sufficiently draws some limitations and deficiencies of the evidence theory, and is widely applied. In this embodiment, the evaluation information matrix is processed based on a 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: obtaining the risk grade of each secondary index according to the weight of each tertiary index and the risk evaluation value of each tertiary index;
the method comprises the following steps:
obtaining evaluation aggregation values of the secondary indexes to which the multiple groups of the three-level indexes belong according to the weight of the three-level indexes and the risk evaluation values of the multiple groups of the three-level indexes;
calculating to obtain the average 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 grade of the secondary index according to the risk score of the secondary index.
In this embodiment, specific data are exemplified as follows:
in this embodiment, a questionnaire is sent to 20 experts, and the 20 experts are divided into 4 groups of 5 persons each, so that the evaluation indexes are subjected to qualitative rating. The related language set for dust explosion risk assessment provided for experts is as follows: v; v ═ { V1: is very small; v 2: small; v 3: generally; v 4: large; v 5: very large) for use by experts in filling out the evaluation form. In this embodiment, a secondary index environment layout (C11) is taken as an example for detailed description.
The 4 groups of experts rank the three-level indexes included in the secondary index environment layout (C11) as follows:
obtain a rank matrix A
Calculating to obtain a membership matrix B according to a formula (4) and the matrix A1Wherein m is 6.
And (3) calculating to obtain the consistency degree of the expert on the index evaluation:
based on the calculation structure and combined with the formulas (2) and (3), the cognitive blindness sigma of all experts on the index can be obtainedj. Then according to the cognitive blindness σjAnd calculating an evaluation vector X by formula (4). 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 also be obtained by thinning.
The expert evaluates the three-level indexes included in the environment layout (C11) of the second-level indexes according to the provided language set, and the evaluation result is shown in the following table:
taking the expert group E1 as an example, the proportion of the dust quantity (C111) rated as v2 in the expert group E1 is 30%, the proportion rated as v3 is 70%, and so on.
The evaluation information matrix provided in the above table is analyzed based on the D number theory.
Taking index C111 as an example, the number of evaluation information D of the expert group is represented as:
the rest indexes are the same.
Further calculating by using the aggregation attribute of the D number to obtain:
further finishing to obtain
And (3) further applying the aggregation attribute of the D number by combining the three-level index weight under the secondary index environment layout (C11), and under the condition that the weight needs to be considered, improving the aggregation rule of the D number as follows:
wherein ω isiIs the corresponding weight information. Taking expert group E1 as an example:
I(E1)＝ω111×C111+ω112×C112+ω113×C113+ω114×C114＝
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 panel experts groups E2, E3 and E4 are as follows:
I(E2)＝4.5518，I(E3)＝3.5764，I(E4)＝1.493。
combining the opinions of four expert groups on average, the final evaluation score of the secondary index environment layout (C11) is:
referring to a preset risk grade division 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.
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, wherein the calculation method comprises the following steps:
the comprehensive management level of the second-level index is level II, the personnel management level is level III, the equipment management level is level III, and the weight coefficients of the three are 0.5, 0.2 and 0.3 respectively. Calculating the level of first-level index safety management: 0.5 × 2+0.2 × 3+0.3 × 3 is 2.5, and the level of the first-level index security management is level ii by referring to a preset risk level classification table.
S17: 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, since the primary indexes are three, the method further comprises:
establishing a three-dimensional risk level coordinate system by taking each primary index as an axis;
and setting the 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 in the three-dimensional risk level coordinate system can be determined according to the respective risk level values of the three primary indexes obtained in S16, so as to obtain a three-dimensional coordinate representing the final risk level of the electrostatic powder spraying enterprise to be evaluated, and the final risk level of the electrostatic powder spraying enterprise to be evaluated can be determined according to the three-dimensional coordinate and the risk level corresponding to each coordinate in the preset three-dimensional risk level coordinate system.
Preferably, with reference to fig. 4, the three-dimensional risk level coordinate system can be presented as a three-dimensional puzzle viewable view, with different areas of the three-dimensional puzzle representing different levels of risk.
The dust explosion risk assessment method for the powder electrostatic spraying enterprise in some embodiments further comprises the following steps:
if the second-level index is the explosion intensity, acquiring the explosion overpressure of the third-level index and the actual numerical value of the explosion index of the third-level index, and determining the risk level of the explosion intensity of the second-level index according to the explosion overpressure of the third-level index, the actual numerical value of the explosion index of the third-level index and a preset dust explosion intensity level dividing table;
and if the secondary index is the dust explosion environment, acquiring the minimum ignition temperature of the tertiary index, the minimum ignition energy of the tertiary index and the actual value of 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 value of the explosion lower limit of the tertiary index and a preset dust explosion environment classification table.
Since the two secondary indexes of the explosion intensity and the dust explosion environment are both determined by the explosion characteristics of dust, the corresponding risk level needs to be calculated separately from other indexes.
The explosion intensity is mainly determined by explosion overpressure (P)max) Explosion index (K)st) The rank size is determined.
The dust explosion intensity rating scale is as follows:
dust explosion environment is mainlyThe Minimum Ignition Energy (MIE), the Minimum Ignition Temperature (MIT), and the lower explosion limit (MEC) are used as a comprehensive measure. Wherein the minimum light-off temperature comprises: minimum Ignition Temperature (MIT) of dust cloudC) And Minimum Ignition Temperature (MIT) of dust layerL) Minimum Ignition Temperature (MIT) is MITCOr MITLBoth of which have lower values. The grading of each three-level index included in the dust explosion environment is preset, and the grading of the dust explosion environment is also determined through the three-dimensional magic cube matrix in the embodiment.
The dust explosion environment classification table is as follows:
taking the resin powder as an example, the experiment shows that the MIE of the resin powder is 235mJ, the MIT (C/L) is 695/200 ℃, and the MEC is 25g/m3Therefore, the dust explosion environment is level II; p of resin powdermaxIs 0.6Mpa, Kst11.07MPa · m/s, the explosive strength is class III.
The dust explosion risk assessment method for the powder electrostatic spraying enterprise in some embodiments further comprises the following steps:
and sending corresponding correction 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 the embodiment, corresponding rectification measures are made 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 made rectification measures are sent to the powder electrostatic spraying enterprise to be evaluated.
A dust explosion risk assessment system for electrostatic powder spraying enterprises, referring to FIG. 5, comprises:
a processor 21 and a memory 22;
the processor 21 is connected to the memory 22 by a communication bus:
the processor 21 is configured to call and execute a program stored in the memory 22;
the memory 22 is used for storing a program, and the program is at least used for executing the dust explosion risk assessment method of the powder electrostatic spraying enterprise in any one of the above embodiments.
It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar parts in other embodiments may be referred to for the content which is not described in detail in some embodiments.
It should be noted that, in the description of the present application, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Further, in the description of the present application, the meaning of "a plurality" means at least two unless otherwise specified.
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 the scope of the preferred embodiments of the present application includes other implementations 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 present application.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," 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 application. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. 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 is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.
Claims (10)
1. A dust explosion risk assessment method for powder electrostatic spraying enterprises is characterized by comprising the following steps:
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 indexes comprise a plurality of second-level indexes, and the second-level indexes comprise a plurality of third-level indexes;
determining the weight of each three-level index;
determining the risk evaluation value of each three-level index of a powder electrostatic spraying enterprise to be evaluated;
obtaining the risk grade of each secondary index according to the weight of each tertiary index and the risk evaluation value of each tertiary index;
obtaining the risk grade of each primary index according to the risk grade of each secondary index and the preset weight of each secondary 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.
2. The method according to claim 1, wherein the constructing of the powder electrostatic spraying enterprise dust explosion risk assessment index system comprises:
and determining the structural relationship of the dust explosion risk assessment index system according to the relationship 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 determining the weight of each of the three-level indicators comprises:
determining the average cognition degree and the cognition blindness degree of each three-level index;
obtaining an evaluation vector of each three-level index according to the average cognition degree and the cognition blindness degree of each three-level index;
and carrying out normalization processing on the evaluation vector of each three-level index to obtain the weight of each three-level index.
4. The method of claim 3, wherein determining the average cognition and cognitive blindness for each of the tertiary metrics comprises:
obtaining ranking data, the ranking data comprising: a plurality of groups of importance ranking results of the 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 cognition blindness degree of each three-level index according to the quantitative result.
5. The method as claimed in claim 1, wherein the determining the risk evaluation value of each three-level index of the electrostatic powder coating enterprise to be evaluated comprises:
obtaining 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 corresponding to each evaluation risk level of the three-level index;
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 each three-level index, and taking the evaluation information D numbers of each three-level index as risk evaluation values of each three-level index.
6. The method of claim 5, wherein obtaining the risk level of each of the secondary indicators according to the weight of each of the tertiary indicators and the risk assessment value of each of the tertiary indicators comprises:
obtaining an evaluation aggregation value of a plurality of groups of secondary indexes to which each tertiary index belongs according to the weight of each tertiary index and a plurality of groups of risk evaluation values of each tertiary index;
calculating to obtain the average 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 grade of the secondary index according to the risk score of the secondary index.
7. The method of claim 1, further comprising:
if the secondary index is the explosion intensity, acquiring the explosion overpressure of the tertiary index and the actual numerical value of 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 numerical value of the explosion index of the tertiary index and a preset dust explosion intensity level division table;
and if the secondary index is the dust explosion environment, acquiring the minimum ignition temperature of the tertiary index, the minimum ignition energy of the tertiary index and the actual value of 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 value of the explosion lower limit of the tertiary index and a preset dust explosion environment classification table.
8. The method of claim 1, wherein the primary indicators are three, the method further comprising:
establishing a three-dimensional risk grade coordinate system by taking each primary index as an axis;
and setting the risk level corresponding to each coordinate in the three-dimensional risk level coordinate system.
9. The method of claim 1, further comprising:
and sending corresponding correction 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.
10. The utility model provides a powder electrostatic spraying enterprise dust explosion risk assessment system which characterized in that includes:
a processor and a memory;
the processor and the memory are connected 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 dust explosion risk assessment method of the powder electrostatic spraying enterprise according to any one of claims 1 to 9.
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