CN114462868A - Method for evaluating dust explosion risk of pretreatment workshop of traditional Chinese medicine enterprise - Google Patents
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Abstract
The application relates to a method for evaluating dust explosion risks in a pretreatment workshop of a traditional Chinese medicine enterprise, which belongs to the technical field of dust explosion risk prevention and control of enterprises, and comprises the steps of determining risk factors related to dust explosion in the pretreatment workshop of the traditional Chinese medicine enterprise; based on the risk factors, constructing a hierarchical model for evaluating explosion risk by adopting an analytic hierarchy process principle; obtaining analysis evaluation data of an object to be evaluated, and calculating a risk value of the object to be evaluated according to the analysis evaluation data based on the hierarchical model; and determining the risk level of the object to be evaluated according to the risk value. The risk assessment of dust explosion in the pretreatment workshop of the traditional Chinese medicine enterprise can be effectively carried out, and the method is favorable for providing effective technical support for the safety production of the traditional Chinese medicine enterprise.
Description
Technical Field
The application belongs to the technical field of dust explosion risk prevention and control of enterprises, and particularly relates to a method for evaluating dust explosion risk of a pretreatment workshop of a traditional Chinese medicine enterprise.
Background
The production process of the traditional Chinese medicine relates to the processes of washing, moistening, drying, crushing and the like of various medicinal materials, wherein the crushing process belongs to the pretreatment process of the traditional Chinese medicine, and has larger dust explosion risk and is easy to cause serious dust explosion accidents. Therefore, it is necessary to develop deep research and analysis for the dust explosion risk existing in the pretreatment workshop of the traditional Chinese medicine enterprise and establish an effective dust explosion risk assessment method, so that a reasonable management and control technology is adopted according to the risk assessment result, the dust explosion-proof safety level of the pretreatment workshop of the traditional Chinese medicine enterprise is effectively improved, and the development of the traditional Chinese medicine industry is promoted.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
In order to overcome the problems in the related technologies at least to a certain extent, the application provides a method for evaluating the risk of dust explosion in a pretreatment workshop of a traditional Chinese medicine enterprise, so as to be beneficial to providing effective technical support for the safe production of the traditional Chinese medicine enterprise.
In order to achieve the purpose, the following technical scheme is adopted in the application:
the application provides a traditional Chinese medicine enterprise pretreatment workshop dust explosion risk assessment method, which comprises the following steps:
determining risk factors related to dust explosion of a pretreatment workshop of a traditional Chinese medicine enterprise;
constructing a hierarchical model for evaluating explosion risks by adopting an analytic hierarchy process principle based on the risk factors;
obtaining analysis evaluation data of an object to be evaluated, and calculating a risk value of the object to be evaluated according to the analysis evaluation data based on the hierarchical model;
and determining the risk level of the object to be evaluated according to the risk value.
Optionally, the process of constructing a hierarchical model for evaluating explosion risk includes:
establishing an index system for evaluating explosion risks, and calculating corresponding index weight parameters based on the index system;
the index system comprises a target layer, an intermediate layer and a lowest layer, wherein the target layer corresponds to a final target for evaluation, an index in the intermediate layer is an evaluation index related to the final target in the next layer, and an index in the lowest layer is an evaluation index with the finest division.
Optionally, the intermediate layer includes a plurality of primary indicators and a plurality of secondary indicators for determining a value of each of the primary indicators; the lowest layer comprises a plurality of three-level indexes, and the three-level indexes are used for determining the value of each two-level index;
the first-level indexes specifically comprise a dust explosion possibility index, a dust explosion prevention and control technology and safety management index and a dust explosion severity index;
the secondary indexes used for determining the value of the dust explosion possibility index comprise a dust explosion sensitivity index and an ignition source control index;
the secondary indexes used for determining the values of the dust explosion prevention and control technology and the safety management indexes comprise dust explosion prevention and control technology indexes and safety management level indexes;
the secondary indexes for determining the value of the dust explosion severity index comprise a dust explosion intensity evaluation index and a dust explosion environment evaluation index.
Optionally, the calculating a risk value of the object to be evaluated according to the analysis and evaluation data based on the hierarchical model specifically includes:
determining the value of each three-level index according to the analysis and evaluation data, and calculating by adopting a layer-by-layer weighted summation mode to obtain a value P of a dust explosion possibility index, a value L of a dust explosion prevention and control technology and safety management index and a value S of a dust explosion severity index;
calculating the risk value R of the object to be evaluated based on the following expression:
optionally, the third-level index for determining the evaluation value of the dust explosion sensitivity index includes a minimum ignition energy index; the determination of the value of the minimum ignition energy indicator includes:
performing dust sampling on the site of the object to be evaluated, performing measurement analysis on the sampled sample, and forming evaluation data for evaluating the minimum ignition energy index in the analysis evaluation data according to an analysis result;
and determining the value of the minimum ignition energy index according to the evaluation data based on a preset evaluation standard.
Optionally, the process of calculating the corresponding index weight parameter based on the index system includes:
carrying out pairwise comparison evaluation on the current level evaluation indexes used for determining the same upper-level evaluation index in the index system to obtain corresponding scale value data;
constructing a judgment matrix according to the scale value data, calculating to obtain a feature vector of the judgment matrix, and performing normalization processing based on the feature vector to obtain a weight vector;
and determining a weight parameter of the current level evaluation index based on the weight vector.
Optionally, the process of determining a weight parameter of a current-level evaluation index based on the weight vector includes:
calculating the maximum characteristic root of the judgment matrix according to the weight vector;
and performing consistency check on the judgment matrix based on the maximum feature root, correspondingly determining each element value in the weight vector as a weight parameter of the current-level evaluation index under the condition that the consistency check is passed, and otherwise, performing pairwise comparison evaluation on the current-level evaluation indexes used for determining the same upper-level evaluation index in the index system again to correspondingly obtain new scale value data, and accordingly performing a step of reconstructing the judgment matrix and subsequent steps thereof.
Optionally, the determining the risk level of the object to be evaluated according to the risk value specifically includes:
and comparing the risk value with a preset threshold value, determining a numerical range in which the risk value is positioned, and determining a risk grade corresponding to the numerical range as the risk grade of the object to be evaluated.
This application adopts above technical scheme, possesses following beneficial effect at least:
according to the technical scheme, the traditional Chinese medicine enterprise pretreatment workshop is taken as a research object, a hierarchical model for evaluation is constructed by adopting an analytic hierarchy process principle, dust explosion risk assessment is realized based on the hierarchical model, an effective implementable method is provided for the dust explosion risk assessment of the traditional Chinese medicine enterprise pretreatment workshop, and auxiliary guidance for dealing with dust explosion of the traditional Chinese medicine enterprise pretreatment workshop can be provided for each emergency unit according to a risk assessment result obtained by the method, so that powerful technical support is provided for safety production of traditional Chinese medicine enterprises.
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
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The accompanying drawings are included to provide a further understanding of the technology or prior art of the present application and are incorporated in and constitute a part of this specification. The drawings for illustrating the embodiments of the present application together with the embodiments of the present application serve to explain the technical solutions of the present application, but do not limit the technical solutions of the present application.
Fig. 1 is a schematic flow chart of a method for evaluating risk of dust explosion in a pretreatment workshop of a traditional Chinese medicine enterprise according to an embodiment of the present application;
FIG. 2 is a schematic diagram illustrating an index system of a hierarchical model in one embodiment of the present application;
fig. 3 is a schematic diagram of a grading magic cube for determining the self sensitivity level of the dust explosion of traditional Chinese medicine in one embodiment of the application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail below. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without making any creative effort, shall fall within the protection scope of the present application.
As mentioned in the background art, the production process of traditional Chinese medicine involves the processes of washing, moistening, drying, crushing and the like of various medicinal materials, wherein the crushing process belongs to the pretreatment process of traditional Chinese medicine, and has a large risk of dust explosion, and serious dust explosion accidents are easy to happen. Therefore, it is necessary to develop deep research and analysis for the dust explosion risk existing in the pretreatment workshop of the traditional Chinese medicine enterprise and establish an effective dust explosion risk assessment method, so that a reasonable management and control technology is adopted according to the risk assessment result, the dust explosion-proof safety level of the pretreatment workshop of the traditional Chinese medicine enterprise is effectively improved, and the development of the traditional Chinese medicine industry is promoted.
In view of the above, the application provides a method for evaluating dust explosion risks in a pretreatment workshop of a traditional Chinese medicine enterprise, wherein the pretreatment workshop of the traditional Chinese medicine enterprise is used as a research object to specifically evaluate dust explosion risks.
As shown in fig. 1, in an embodiment, the method for evaluating risk of dust explosion in a pre-processing workshop of a traditional Chinese medicine enterprise provided by the present application includes:
step S110, determining risk factors related to dust explosion of a pretreatment workshop of a traditional Chinese medicine enterprise;
in the step, risk factors related to actual pretreatment workshops of traditional Chinese medicine enterprises are determined mainly based on field investigation.
Then, step S120 is carried out, and a hierarchical model for evaluating explosion risks is constructed by adopting the principle of an analytic hierarchy process based on risk factors;
specifically, in this step, the process of constructing a hierarchical model for evaluating explosion risks includes:
establishing an index system for evaluating explosion risks, and calculating corresponding index weight parameters based on the index system;
the system comprises an index system and a plurality of levels, wherein the levels of the index system comprise a target layer, an intermediate layer and a lowest layer, the target layer corresponds to a final target for evaluation, an index in the intermediate layer is an evaluation index related to the final target in the next level, and an index in the lowest layer is an evaluation index which is divided most finely;
it is easily understood that the hierarchical relationship of the above-mentioned index system is determined based on the relationship among targets, criteria and objects in the analytic hierarchy process.
In this embodiment, in the index system, the intermediate layer includes a plurality of primary indexes and a plurality of secondary indexes for determining the value of each primary index; the lowest layer comprises a plurality of three-level indexes, and the three-level indexes are used for determining the value of each two-level index;
in a specific application scenario, the established index system is shown in fig. 2, and includes 3 primary indexes, 6 secondary indexes, and 25 tertiary indexes;
specifically, the primary indexes specifically include a dust explosion possibility index, a dust explosion prevention and control technology and safety management index, and a dust explosion severity index;
the secondary indexes used for determining the value of the dust explosion possibility index comprise a dust explosion sensitivity index and an ignition source control index; the secondary indexes used for determining the values of the dust explosion prevention and control technology and the safety management indexes comprise dust explosion prevention and control technology indexes and safety management level indexes; the secondary indexes used for determining the value of the dust explosion severity index comprise a dust explosion intensity evaluation index and a dust explosion environment evaluation index.
The following examples are provided for the relevant contents of the three-level indicators:
based on the dust explosionThe related research of the dust has the advantages that the explosion characteristic of the dust determines the energy released after explosion, the explosive energy-containing dust belongs to a first type of dangerous source and directly influences the severity of the consequences of the accident, the higher the explosion energy of the dust, the higher the explosion pressure and the explosion index are, and the explosion overpressure (P) is mainly usedmax) Explosion index (K)st) Determining the grade size of the dust, thereby forming 2 three-grade indexes for evaluating the dust explosion intensity, carrying out two-dimensional matrix grade division on the two explosion intensity parameters, correspondingly assigning 1-5 to I-V, and forming a grade division table for subsequently determining the values of the two indexes, wherein the table is shown in the following table 1:
table 1 dust explosion intensity rating
Based on the related research on dust explosion accidents, the dust self explosion sensitivity mainly consists of Minimum Ignition Energy (MIE) and Minimum Ignition Temperature (MIT) of dust cloudC) Dust layer Minimum Ignition Temperature (MIT)L) Dust explosion lower limit (MEC), wherein MIT is MITCOr MITLThe lower value of the two indexes is formed, and 3 three-level indexes for evaluating the dust explosion sensitivity index are formed;
in the present application, a lot of literature research and study are combined with a dust explosion database, the grades of each index are obtained according to standard specifications and academic research tests, and the grade of dust explosion sensitivity is determined by using a three-dimensional magic cube matrix as shown in fig. 3, specifically, a three-dimensional magic cube body is divided into 5 grades in parallel, and the i-v grades are assigned with 1-5 values, so as to form a grade division table for determining the values of the three indexes, which is shown in the following table 2:
TABLE 2 dust explosion sensitivity rating
In step S120, in the process of constructing a hierarchical model for evaluating explosion risks, a process of calculating a corresponding index weight parameter based on an index system is also involved, the process is similar to the prior art, and the process is briefly described here;
in this embodiment, the process of calculating the corresponding index weight parameter based on the index system includes:
a. carrying out pairwise comparison evaluation on current level evaluation indexes used for determining the same upper-level evaluation index in an index system to obtain corresponding scale value data;
continuing with the previous example, if the explosion overpressure evaluation index and the explosion index evaluation index, which are three-level indexes, are used to determine the same two-level index (dust explosion intensity evaluation index), then the explosion overpressure evaluation index and the explosion index evaluation index are compared and evaluated pairwise to obtain corresponding scale value data (in implementation, the indexes are generally scored based on relevant technical experts), similar to the prior art, the comparison manner is shown in table 3 below,
TABLE 3 Scale value data Table
| A1 | A2 | |
| A1 | 1 | 1 |
| A2 | 1 | 1 |
In table 3, a1 is used to characterize the explosion overpressure evaluation index, a2 is used to characterize the explosion index evaluation index, and the number "1" in table 3 is the corresponding scale value data.
The comparative evaluation rule (score rule) for obtaining the scale value data is shown in table 4 below,
TABLE 4 Scale of meanings
b. Constructing a judgment matrix according to the scale value data, calculating to obtain a feature vector of the judgment matrix, and performing normalization processing based on the feature vector to obtain a weight vector, wherein the process can be represented by calculation derivation of the following expression:
the form of the constructed decision matrix a is:
A＝[Aij],aij∈Aij(1)
in the expression (1), aijTo determine the elements in the matrix, and aijThe specific values of (b) are suitably given by the above-mentioned scale data, and it is easily understood that the judgment matrix is a square matrix.
Multiplying each row element of the decision matrix:
in expression (2), n is the number of elements in a row (or the order of the matrix).
Calculate miThe n-th power root of the vector to obtain a feature vector Wi：
For weight vector W ═ W1，W2，…，Wn) Performing normalization processing to obtain feature vector WiApproximate solution of (2):
and updating each element in the weight vector by the approximate solution to determine the weight vector.
c. Determining a weight parameter of the current-level evaluation index based on the weight vector, specifically, the process includes:
calculating the maximum characteristic lambda of the judgment matrix based on the following expression according to the weight vectormax：
In the expression (5), A is a judgment matrix; w is a weight vector, WiIs the value of each element in the weight vector.
And carrying out consistency check on the judgment matrix based on the maximum characteristic root, correspondingly determining each element value in the weight vector as a weight parameter of the current level evaluation index under the condition that the consistency check is passed, otherwise, carrying out pairwise comparison evaluation on the current level evaluation indexes used for determining the same upper-layer evaluation index in the index system again to correspondingly obtain new scale value data, and carrying out the step of constructing the judgment matrix and the subsequent steps thereof again.
And repeating the steps a-c until the weight parameters meeting the requirements are determined.
Among the above processes, the process of performing the consistency check in step c may be performed based on the following expression,
calculating a matrix consistency index CI:
calculating the consistency ratio CR:
in the expression (7), RI is an average random consistency index, and its value is average data obtained by a large number of random tests, and the values are generally different for different matrix orders n;
when CR <0.1, the constructed weight result passes the consistency check, otherwise the consistency check fails.
Continuing to return to fig. 1, after step S120, performing step S130 to obtain analysis evaluation data of the object to be evaluated, and calculating a risk value of the object to be evaluated according to the analysis evaluation data based on the hierarchical model;
specifically, in this step, the risk value of the object to be evaluated is calculated according to the analysis and evaluation data based on the hierarchical model, specifically:
determining the value of each three-level index according to the analysis and evaluation data, and calculating by adopting a layer-by-layer weighted summation mode to obtain a value P of a dust explosion possibility index, a value L of a dust explosion prevention and control technology and safety management index and a value S of a dust explosion severity index;
calculating a risk value R of the object to be evaluated based on the following expression:
it should be noted that the values of the three-level indexes in the above process are mainly determined by anonymous grading by experts based on analysis and evaluation data.
For example, in a specific scenario, an object to be evaluated is a pre-processing workshop of a certain Beijing pharmaceutical enterprise, 5 experts in the field of dust explosion are invited, and the actual operation conditions of each three-level evaluation index in the hierarchical model are anonymously graded (the value range is 1-5) according to data obtained by field research, so that the score of each three-level index is determined; for example, in this scenario, the weight parameters and scores of the evaluation indexes in the hierarchical model are shown in table 5 below, and in table 5, the weights and index scores of each level in the pre-processing workshop of a traditional Chinese medicine enterprise are shown in table 5
Based on the data of the three-level indexes shown in Table 5, the value of the dust explosion possibility of the first-level index is set to be P, and the ignition source control score of the second-level index is set to be P1Weighted value of a1The second level index dust explosion sensitivity score is P2Weighted value of a2Then, a weighted sum P is performed1×a1+P2×a2In which P is1And P2Is 3.21, 3.72 (determined by weighted summation based on the score values of the respective three-level indexes), respectively, the value P of the dust explosion possibility index is 3.47;
similarly, let the severity of dust explosion be S and the intensity of dust explosion be S1Weighted value of c1The value of dust explosion environment is S2Weighted value of c2If, then S is equal to S1×c1+S2×c2The value S of the severity of dust explosion is 2.30;
similarly, a value L of 3, which reflects the effective level of safety management of the processing place of the evaluation object, may also be calculated, where L is also referred to as a safety compensation coefficient in this application;
after obtaining the value of P, S, L, the risk value R of the object to be evaluated is calculated to be 2.66 using the above expression (8).
Note that, in step S130, the scoring process is performed based on data that actually reflects objective reality. For example, the third-level index used for determining the evaluation value of the dust explosion sensitivity index includes a minimum ignition energy index; the determination of the value of the minimum ignition energy indicator includes:
carrying out dust sampling on the site of an object to be evaluated, carrying out measurement analysis on the sampled sample, and forming evaluation data for evaluating the minimum ignition energy index in the analysis evaluation data according to the analysis result; and determining the value of the minimum ignition energy index according to the evaluation data based on a preset evaluation standard.
And continuing to return to fig. 1, after the step S130, performing a step S140, and determining the risk level of the object to be evaluated according to the risk value obtained in the step S130.
Specifically, in this step, the risk value is compared with a preset threshold value, a numerical range in which the risk value is located is determined, and a risk level corresponding to the numerical range is determined as a risk level of the object to be evaluated.
It should be noted that, in view of scientific rationality of risk level classification, the preset threshold value and the risk level corresponding to the range of the numerical value interval are configured in the following manner:
assuming that the enterprise has the best relevant indexes in advance, the risk grades are I grades, but when no safety management measures are taken, the dust explosion risk is general. Similarly, the other indexes are subjected to multiple hypotheses and limit score estimation, and the assigned values are matched with the grade compression, so that the specific configuration of the preset threshold value and the risk grade corresponding to the numerical range is finally obtained.
For example, the risk level is divided into five levels, i.e., extra high, normal, low, and corresponding intervals are R >4, 3< R ≦ 4, 2< R ≦ 3, 1< R ≦ 2, and R ≦ 1. In the case where R is 2.66 in step S130, the risk level of the pre-processing workshop of a certain beijing pharmaceutical company is high.
According to the technical scheme, a pretreatment workshop of a traditional Chinese medicine enterprise is taken as a research object, and a dust explosion risk assessment index system is established on the basis of deep research and test analysis of the production process and the dust explosion characteristics of the traditional Chinese medicine enterprise. The evaluation indexes are weighted based on an analytic hierarchy process, a risk evaluation method model is established based on a risk evaluation basic principle and by combining the idea of disaster prevention, and technical support is provided for safety production of traditional Chinese medicine enterprises.
The above description is only a preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (8)
1. A traditional Chinese medicine enterprise pretreatment workshop dust explosion risk assessment method is characterized by comprising the following steps:
determining risk factors related to dust explosion of a pretreatment workshop of a traditional Chinese medicine enterprise;
constructing a hierarchical model for evaluating explosion risks by adopting an analytic hierarchy process principle based on the risk factors;
obtaining analysis evaluation data of an object to be evaluated, and calculating a risk value of the object to be evaluated according to the analysis evaluation data based on the hierarchical model;
and determining the risk level of the object to be evaluated according to the risk value.
2. The method of claim 1, wherein the process of constructing a hierarchical model for assessing risk of explosion comprises:
establishing an index system for evaluating explosion risks, and calculating corresponding index weight parameters based on the index system;
the index system comprises a target layer, an intermediate layer and a lowest layer, wherein the target layer corresponds to a final target for evaluation, an index in the intermediate layer is an evaluation index related to the final target in the next layer, and an index in the lowest layer is an evaluation index with the finest division.
3. The method of claim 2, wherein the intermediate layer comprises a plurality of primary indicators and a plurality of secondary indicators for determining the value of each of the primary indicators; the lowest layer comprises a plurality of three-level indexes, and the three-level indexes are used for determining the value of each two-level index;
the first-level indexes specifically comprise a dust explosion possibility index, a dust explosion prevention and control technology and safety management index and a dust explosion severity index;
the secondary indexes used for determining the value of the dust explosion possibility index comprise a dust explosion sensitivity index and an ignition source control index;
the secondary indexes used for determining the values of the dust explosion prevention and control technology and the safety management index comprise a dust explosion prevention and control technology index and a safety management level index;
the secondary indexes for determining the value of the dust explosion severity index comprise a dust explosion intensity evaluation index and a dust explosion environment evaluation index.
4. The method according to claim 3, wherein the calculating of the risk value of the object to be evaluated from the analysis evaluation data based on the hierarchical model comprises:
determining the value of each three-level index according to the analysis and evaluation data, and calculating by adopting a layer-by-layer weighted summation mode to obtain a value P of a dust explosion possibility index, a value L of a dust explosion prevention and control technology and safety management index and a value S of a dust explosion severity index;
calculating the risk value R of the object to be evaluated based on the following expression:
5. the method of claim 3, wherein the tertiary indicator used to determine the value of the dust explosion sensitivity indicator comprises a minimum ignition energy indicator; the determination of the value of the minimum ignition energy indicator includes:
performing dust sampling on the site of the object to be evaluated, performing measurement analysis on the sampled sample, and forming evaluation data for evaluating the minimum ignition energy index in the analysis evaluation data according to an analysis result;
and determining the value of the minimum ignition energy index according to the evaluation data based on a preset evaluation standard.
6. The method according to claim 2, wherein the process of calculating the corresponding index weight parameter based on the index system comprises:
carrying out pairwise comparison evaluation on the current level evaluation indexes used for determining the same upper-level evaluation index in the index system to obtain corresponding scale value data;
constructing a judgment matrix according to the scale value data, calculating to obtain a feature vector of the judgment matrix, and performing normalization processing based on the feature vector to obtain a weight vector;
and determining a weight parameter of the current level evaluation index based on the weight vector.
7. The method according to claim 6, wherein the determining a weight parameter of a current-level evaluation index based on the weight vector comprises:
calculating the maximum characteristic root of the judgment matrix according to the weight vector;
and performing consistency check on the judgment matrix based on the maximum feature root, correspondingly determining each element value in the weight vector as a weight parameter of the current-level evaluation index under the condition that the consistency check is passed, and otherwise, performing pairwise comparison evaluation on the current-level evaluation indexes used for determining the same upper-level evaluation index in the index system again to correspondingly obtain new scale value data, and accordingly performing a step of reconstructing the judgment matrix and subsequent steps thereof.
8. The method according to claim 1, wherein the determining a risk level of the subject to be assessed according to the risk value specifically comprises:
and comparing the risk value with a preset threshold value, determining a numerical range in which the risk value is positioned, and determining a risk grade corresponding to the numerical range as the risk grade of the object to be evaluated.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110163500A (en) * | 2019-05-21 | 2019-08-23 | 重庆科技学院 | A kind of Oil Tank Area fire explosion methods of risk assessment based on fuzzy fault tree |
| CN111985819A (en) * | 2020-08-23 | 2020-11-24 | 哈尔滨理工大学 | Industrial dust explosion-related risk evaluation method |
| CN113642914A (en) * | 2021-08-25 | 2021-11-12 | 北京石油化工学院 | Dust explosion risk assessment method and system for powder electrostatic spraying enterprise |
| CN113723817A (en) * | 2021-08-31 | 2021-11-30 | 北京石油化工学院 | Enterprise dust explosion risk assessment method, device and equipment |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110163500A (en) * | 2019-05-21 | 2019-08-23 | 重庆科技学院 | A kind of Oil Tank Area fire explosion methods of risk assessment based on fuzzy fault tree |
| CN111985819A (en) * | 2020-08-23 | 2020-11-24 | 哈尔滨理工大学 | Industrial dust explosion-related risk evaluation method |
| CN113642914A (en) * | 2021-08-25 | 2021-11-12 | 北京石油化工学院 | Dust explosion risk assessment method and system for powder electrostatic spraying enterprise |
| CN113723817A (en) * | 2021-08-31 | 2021-11-30 | 北京石油化工学院 | Enterprise dust explosion risk assessment method, device and equipment |
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