CN115099560A - Risk degree judgment and evaluation method and system for inherent risks - Google Patents

Risk degree judgment and evaluation method and system for inherent risks Download PDF

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CN115099560A
CN115099560A CN202210527787.1A CN202210527787A CN115099560A CN 115099560 A CN115099560 A CN 115099560A CN 202210527787 A CN202210527787 A CN 202210527787A CN 115099560 A CN115099560 A CN 115099560A
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specific object
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杨文涛
高进东
陈刚
张晓蕾
孙猛
姚志强
吴真真
关威
徐帅
苗永春
王胜荣
张文涛
梅焜荃
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Abstract

The invention provides a method for judging and evaluating the risk of an inherent risk, which comprises the following steps of 1: determining a specific object to be evaluated, and collecting information data of five factors of a building, technical conditions, material characteristics and quantity, social environment and natural conditions of the specific object; step 2: respectively calculating the inherent risk R of the building of the specific object according to the information data collected in the step 1 B Intrinsic risk of process conditions R TC Material properties and quantity intrinsic risk R M Social environmental intrinsic risk R SE And natural condition inherent risk R NE (ii) a And step 3: and calculating an intrinsic risk value R of the specific object according to the intrinsic risks calculated in the step 2, and evaluating the risk of the specific object according to the intrinsic risk value R. The invention can be applied to the inherent risk assessment of enterprises, personnel intensive places or social public facilities in various industries for implementationThe construction of a double prevention mechanism and the risk management and control provide technical support.

Description

Risk degree judgment and evaluation method and system for inherent risks
Technical Field
The invention relates to the technical field of risk assessment, in particular to a method and a system for judging and assessing risk of an inherent risk.
Background
In recent years, in order to restrain serious and serious safety production accidents, China actively promotes the establishment of a dual prevention mechanism and the construction of a risk classification management and control system, so that safety risk identification and evaluation must be carried out to master the inherent risk of a specific object.
At present, many methods are used for risk assessment, but few methods can be used for quantitative inherent risk assessment, and the application of the assessment methods to the construction of a dual prevention mechanism has great limitation. Firstly, these evaluation methods have industrial limitations, and are only applicable to specific industries, for example, a risk evaluation method, a fire and explosion risk index evaluation method of dow chemical company, an ICI Mond method, an evaluation method of major flammable and explosive toxic hazard sources, and the like, can only be applied to hazardous chemicals industries, and are difficult to be applied to other industries. Secondly, the evaluation methods mainly evaluate the risks of the process technology, and influence of natural conditions and social environment is not considered. Finally, the construction of the double prevention mechanism comprises two layers of enterprises and governments, the enterprises can adopt corresponding assessment methods to carry out inherent risk assessment according to the industries, but the governments undertake the safety supervision of enterprises, personnel intensive places or social public facilities of various industries in cities or counties, the whole-industry assessment is difficult to carry out by utilizing the existing risk assessment methods, and particularly the consistency of assessment results cannot be realized. Therefore, the existing risk assessment methods cannot fully meet the construction requirements of the double prevention mechanism being pursued.
Disclosure of Invention
In order to solve at least one of the technical problems, the invention provides a method and a system for judging and evaluating the risk level of an inherent risk, which are suitable for enterprises, personnel intensive places, social public facilities and the like in various industries, provide a basis for carrying out safety supervision and constructing a risk classification management and control system, and actively promote the establishment of a dual prevention mechanism.
A first aspect of the present invention provides a method for assessing risk assessment of an inherent risk, including:
step 1: determining a specific object to be evaluated, and collecting information data of five factors of a building, technical conditions, material characteristics and quantity, social environment and natural conditions of the specific object;
step 2: respectively calculating the inherent risk R of the building of the specific object according to the information data collected in the step 1 B Intrinsic risk of process conditions R TC Material properties and quantity intrinsic risk R M Social environmental intrinsic risk R SE And natural condition inherent risk R NE
And step 3: and calculating an intrinsic risk value R of the specific object according to the intrinsic risks calculated in the step 2, and evaluating the risk of the specific object according to the intrinsic risk value R.
Preferably, the information data of the building of the specific object collected in step 1 includes building classification, fire rating and personnel density information.
In any of the above schemes, preferably, the information data of the process technical conditions of the specific object collected in step 1 includes equipment volume, operating pressure, operating temperature and operation mode information.
In any of the above schemes, preferably, the information data on the material characteristics and quantity of the specific object collected in step 1 includes information on the chemical fire risk, combustible dust explosion characteristics, material toxicity and material quantity of the specific object.
In any of the above embodiments, the information about the social environment of the specific object collected in step 1 preferably includes information about the location of peripheral functional units and the number of peripheral population of the specific object.
In any of the above embodiments, the information about the natural environment of the specific object collected in step 1 preferably includes information about the number of times of occurrence of natural disasters and disaster level of the specific object within a predetermined time period.
In any of the above schemes, preferably, the natural disaster includes at least one of typhoon, rainstorm, high temperature, cold tide, heavy fog, thunderstorm, strong wind, sand storm, hail, snow disaster, and ice accretion on roads.
Preferably, in any of the above embodiments, step 2 comprises:
step 21: calculating the inherent risk R of the building of a specific object according to the building classification, the fire-resistant grade and the personnel density information collected in the step 1 B
Step 22: calculating the inherent risk R of the process technical condition of the specific object according to the equipment volume, the operating pressure, the operating temperature and the operation mode information collected in the step 1 TC
Step 23: calculating the material characteristics and the inherent quantity risk R of a specific object according to the chemical fire hazard, combustible dust explosion characteristics, material toxicity and material quantity information collected in the step 1 M
Step 24: calculating the social environment inherent risk R of the specific object according to the peripheral function unit position and the peripheral population number information collected in the step 1 SE
Step 25: calculating natural condition inherent risk R of a specific object according to the frequency of occurrence of natural disaster in a set time period and disaster grade information collected in step 1 NE
Step 26: building intrinsic risk R according to the specific object B The inherent risk of process conditions R TC Material properties and quantity intrinsic risk R M Social environmental intrinsic risk R SE And natural condition inherent risk R NE And calculating the inherent risk value R of the specific object.
In any of the above embodiments, there is preferably no order restriction between step 21, step 22, step 23, step 24 and step 25.
In any of the above embodiments, step 21 is preferably performed according to the formula
Figure RE-GDA0003791209620000031
Calculating the building intrinsic risk R of the specific object B Wherein, Bc ib Building hazard coefficient, FRr, for the ib-th building included for the particular object ib Fire rating coefficient, Od, of the ib-th building included for the particular object ib The person density coefficient is the person density coefficient of the ibth building included in the specific object, nb is the number of buildings included in the specific object, and ib is 1,2, …, nb.
In any of the above embodiments, step 22 is preferably performed according to the formula
Figure RE-GDA0003791209620000032
Calculating the intrinsic risk R of the process technology condition of the specific object TC In which Pb is itc The equipment volume hazard coefficient, Op, for the itc process specification included for the particular object itc Operating pressure hazard coefficient, Ot, for the itc process specification included for the particular object itc Is that it isOperating temperature hazard coefficient, Om, for the itc process specification included in the particular object itc Ntc represents the number of the process technical conditions included in the specific object, and itc is 1,2, … and ntc.
In any of the above embodiments, step 23 is preferably performed according to the formula R M =R M1 +R M2 Calculating the material characteristic and quantity inherent risk R of the specific object M Wherein R is M1 Representing inherent risks of the nature and quantity of chemical-like materials, R M2 Indicating the inherent risks of the characteristics and the quantity of the dust-like materials.
In any of the above schemes, preferably, in step 23, according to the formula
Figure RE-GDA0003791209620000033
Calculating the inherent risks R of the characteristics and the quantity of the chemical materials M1 Wherein, Fc im1 Represents the fire risk coefficient of the im1 chemical class materials, Wb1 im1 Shows the toxicity coefficient of the im1 chemical materials, Mq1 im1 The risk coefficient of the quantity of the chemical material of the im1 th class is shown, the nm1 is the number of the chemical material classes included in the specific object, and im1 is 1,2, … and nm 1.
In any of the above embodiments, step 23 is preferably performed according to the formula
Figure RE-GDA0003791209620000041
Calculating inherent risks R of characteristics and quantity of the dust materials M2 In which Ecd im2 Shows the explosion coefficient of the im2 dust material, Wb2 im2 Representing the toxicity coefficient of the im2 dust material Mq2 im2 And the risk coefficient of the quantity of the dust materials of the im2 th class is shown, the nm2 is the number of the dust materials included in the specific object, and im2 is 1,2, … and nm 2.
In any of the above schemes, preferably, in step 23, for a certain chemical material, according to a formula
Figure RE-GDA0003791209620000042
Calculating the toxicity coefficient Wb1 of the chemical material, wherein C1 TWA Representing the time-weighted average concentration of such chemical species in the workplace air measured in situ and PC1-TWA1 representing the time-weighted average allowable concentration of such chemical species in the workplace air.
In any of the above schemes, preferably, in step 23, for a certain chemical material, according to a formula
Figure RE-GDA0003791209620000043
Calculating the toxicity coefficient Wb1 of the chemical material, wherein C STEL Represents a field-measured short-time weighted average concentration of the chemical material in the workplace air, and the PC-stem represents a short-time contact tolerance concentration of the chemical material in the workplace air.
In any of the above schemes, preferably, in step 23, for a certain chemical material, according to a formula
Figure RE-GDA0003791209620000044
Calculating the toxicity coefficient Wb1 of the chemical material, wherein C MAC Represents the instantaneous (short) time concentration of the type of chemical material in the workplace air as measured in situ, and the MAC represents the maximum allowable concentration of the type of chemical material in the workplace air.
In any of the above schemes, preferably, in step 23, for a certain type of dust material, according to a formula
Figure RE-GDA0003791209620000045
Calculating the toxicity coefficient Wb2 of the dust material, wherein C2 TWA Representing the time-weighted average concentration of such dust material in the workplace air measured on site, and PC2-TWA2 representing the time-weighted average allowable concentration of such dust material in the workplace air.
In any of the above embodiments, preferably, in step 23, Mq1 is used as the active ingredient im1 And Mq2 im2 The method is determined according to material quantity indexes of corresponding types, and the material quantity indexes are obtained in a calculation mode of identification indexes of major hazard sources of hazardous chemicals.
In any of the above schemes, preferably, in step 24, according to the formula
Figure RE-GDA0003791209620000051
Calculating the social Environment intrinsic Risk R of the particular object SE Wherein, Lfu ise Is the ise th functional unit position coefficient, Pq ise The population number coefficient of the ise th functional unit is nse, and the population number of the functional unit is ise ═ 1,2, … and nse.
In any of the above embodiments, step 25 is preferably performed according to the formula
Figure RE-GDA0003791209620000052
Calculating natural condition intrinsic risk R of the specific object NE Wherein, Snd ine The index is an ine th natural disaster severity index, nne is the number of natural disasters occurring in a set time period at the site of the specific object, and ine is 1,2, … and nne.
In any of the above embodiments, step 3 is preferably performed according to the formula
R=(R B +R TC +R M )×R SE ×R NE
And calculating an inherent risk value R of the specific object, wherein the larger the value of R is, the higher the risk degree of the specific object is.
In any of the above solutions, preferably, when calculating each intrinsic risk value, a scoring method is used to assign a value to at least one of the parameters involved.
In any of the above schemes, preferably, the method further includes, when there are a plurality of specific objects to be evaluated, calculating an intrinsic risk value for each specific object, and then ranking the risk degrees of all the specific objects according to the intrinsic risk values.
A second aspect of the present invention provides an inherent risk judgment and evaluation system for executing the inherent risk judgment and evaluation method, including:
a data acquisition unit: collecting information data of five factors of buildings, technical conditions, material characteristics and quantity, social environment and natural conditions of the specific object;
an evaluation and analysis unit: respectively calculating the inherent risk R of the building of the specific object according to the information data collected by the data acquisition unit B Intrinsic risk of process conditions R TC Material properties and quantity intrinsic risk R M Social environmental intrinsic risk R SE And natural condition inherent risk R NE And an intrinsic risk value R for the particular subject.
Preferably, the evaluation analysis unit is further configured to rank the risk degrees according to intrinsic risk values of a plurality of specific objects to be evaluated.
The method and the system for judging and evaluating the risk of the inherent risk have the following beneficial effects:
1. the factors of buildings, technical conditions, material characteristics and quantity, social environment and natural conditions of the specific object are comprehensively considered, the inherent risk of the specific object can be more accurately evaluated, and the evaluation result is more accurate;
2. the system can be suitable for inherent risk assessment of enterprises, intensive places of people or social public facilities in various industries, industrial parks, townships or counties, has good consistency on assessment results of various specific objects, and provides technical support for implementation of dual prevention mechanism construction and risk management and control;
3. the evaluation method can be used for carrying out assignment operation on the parameters involved in calculation of the inherent risk values of various types, is simple to operate and high in universality, and can carry out differentiated assignment on the parameters, so that the influence of different parameters on the inherent risk can be reasonably reflected.
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FIG. 1 is a schematic flow chart diagram of a preferred embodiment of the risk assessment method of the inherent risk according to the present invention.
FIG. 2 is a schematic flow chart of step 2 of the embodiment of FIG. 1 of the method for risk assessment according to the present invention.
FIG. 3 is a schematic block diagram of a preferred embodiment of the risk assessment system according to the present invention.
Detailed Description
For a better understanding of the present invention, reference will now be made in detail to the following examples.
Example 1
As shown in fig. 1, a method for assessing and judging the risk of an inherent risk includes:
step 1: determining a specific object to be evaluated, and collecting information data of five factors of buildings, technical conditions, material characteristics and quantity, social environment and natural conditions of the specific object;
step 2: respectively calculating the inherent risk R of the building of the specific object according to the information data collected in the step 1 B Intrinsic risk of process conditions R TC Material properties and quantity intrinsic risk R M Social environmental intrinsic risk R SE And natural condition inherent risk R NE
And step 3: and calculating an intrinsic risk value R of the specific object according to the intrinsic risks calculated in the step 2, and evaluating the risk of the specific object according to the intrinsic risk value R.
The information data of the buildings of the specific objects collected in the step 1 comprise building classification, fire resistance grade and personnel density information; the collected information data of the process technical conditions of the specific object comprise equipment volume, operating pressure, operating temperature and operating mode information; the collected information data of the material characteristics and quantity of the specific object comprise the chemical fire hazard, combustible dust explosion characteristics, material toxicity and material quantity information of the specific object; the collected information data of the social environment of the specific object comprises the peripheral function unit position and the peripheral population number information of the specific object; the collected information data of the natural environment of the specific object comprises the frequency and disaster grade information of natural disasters of the specific object in a set time period, wherein the natural disasters comprise at least one of typhoons, rainstorms, high temperatures, cold tides, heavy fog, thunderstorms, strong winds, sand storms, hails, snow disasters and road ice.
As shown in fig. 2, step 2 includes:
step 21: calculating the inherent risk R of the building of a specific object according to the building classification, the fire-resistant grade and the personnel density information collected in the step 1 B
Step 22: calculating the inherent risk R of the process technical condition of a specific object according to the equipment volume, the operating pressure, the operating temperature and the operation mode information collected in the step 1 TC
Step 23: calculating the material characteristics and the inherent quantity risk R of a specific object according to the chemical fire hazard, combustible dust explosion characteristics, material toxicity and material quantity information collected in the step 1 M
And step 24: calculating the inherent risk R of the social environment of the specific object according to the position of the peripheral functional unit and the number information of the peripheral population collected in the step 1 SE
Step 25: calculating natural condition inherent risk R of a specific object according to the frequency of occurrence of natural disaster in a set time period and disaster grade information collected in step 1 NE
Step 26: building intrinsic risk R according to the specific object B The technological conditions are inherent with windDanger R TC Material properties and quantity intrinsic risk R M Social environmental intrinsic risk R SE And natural condition inherent risk R NE And calculating the inherent risk value R of the specific object.
It is preferable in this embodiment that there is no sequential limitation among step 21, step 22, step 23, step 24, and step 25.
In step 21, according to the formula
Figure RE-GDA0003791209620000081
Calculating the building intrinsic risk R of the specific object B Wherein, Bc ib Building hazard coefficient, FRr, for the ib-th building included for the particular object ib Fire rating coefficient, Od, of the ib-th building included for the particular object ib The person density coefficient is the person density coefficient of the ibth building included in the specific object, nb is the number of buildings included in the specific object, and ib is 1,2, …, nb.
In step 22, according to the formula
Figure RE-GDA0003791209620000082
Calculating the intrinsic risk R of the process technology condition of the specific object TC In which Pb is itc The equipment volume hazard coefficient, Op, for the itc process specification included for the particular object itc Operating pressure hazard coefficient, Ot, for the itc process specification included for the particular object itc Operating temperature hazard coefficient, Om, for the itc process specification included for the particular object itc The operation mode risk coefficient for the itc-th process technical condition included in the specific object is ntc, where itc is 1,2, …, and ntc, which is the number of process technical conditions included in the specific object.
In step 23, according to the formula R M =R M1 +R M2 Calculating said particular objectInherent risk R of material characteristics and quantity M Wherein R is M1 Representing inherent risks of the nature and quantity of chemical-like materials, R M2 Indicating the inherent risks of the characteristics and the quantity of the dust-like materials. According to the formula
Figure RE-GDA0003791209620000083
Calculating intrinsic risks R of characteristics and quantity of the chemical materials M1 Wherein, Fc im1 Represents the fire risk coefficient of the im1 chemical material, Wb1 im1 Represents the toxicity coefficient of the im1 class chemical materials, Mq1 im1 The risk coefficient of the quantity of the chemical material of the im1 th class is shown, the nm1 is the number of the chemical material classes included in the specific object, and im1 is 1,2, … and nm 1. According to the formula
Figure RE-GDA0003791209620000084
Calculating inherent risks R of characteristics and quantity of the dust materials M2 In which Ecd im2 Shows the explosion coefficient of the im2 dust material, Wb2 im2 Representing the toxicity coefficient of the im2 dust material Mq2 im2 And the risk coefficient of the quantity of the dust materials of the im2 th class is shown, the nm2 is the number of the dust materials included in the specific object, and im2 is 1,2, … and nm 2.
Aiming at a certain chemical material, the chemical material can be prepared according to a formula
Figure RE-GDA0003791209620000091
Calculating the toxicity coefficient Wb1 of the chemical materials, wherein C1 TWA Representing the time-weighted average concentration of such chemical species in the workplace air measured in situ and PC1-TWA1 representing the time-weighted average allowable concentration of such chemical species in the workplace air. Can also be according to the formula
Figure RE-GDA0003791209620000092
Calculating the toxicity coefficient Wb1 of the chemical material, wherein C STEL Represents a field-measured short-time weighted average concentration of the chemical material in the workplace air, and the PC-stem represents a short-time contact tolerance concentration of the chemical material in the workplace air. Can also be according to the formula
Figure RE-GDA0003791209620000093
Calculating the toxicity coefficient Wb1 of the chemical material, wherein C MAC Indicating the instantaneous (short) time concentration of such chemical materials in the workplace air measured in the field and the MAC indicates the maximum allowable concentration of such chemical materials in the workplace air.
According to a formula aiming at a certain class of dust materials
Figure RE-GDA0003791209620000094
Calculating the toxicity coefficient Wb2 of the dust material, wherein C2 TWA Representing the time-weighted average concentration of such dust materials in the workplace air as measured in the field, and PC2-TWA2 representing the time-weighted average allowable concentration of such dust materials in the workplace air.
In step 23, the Mq1 im1 And Mq2 im2 The method is determined according to material quantity indexes of corresponding types, and the material quantity indexes are obtained in a calculation mode of identification indexes of major hazard sources of hazardous chemicals.
In step 24, according to the formula
Figure RE-GDA0003791209620000095
Calculating the social Environment intrinsic Risk R of the particular object SE Wherein, Lfu ise Is the ise th function unit position coefficient,
Figure RE-GDA0003791209620000096
the population number coefficient of the ise th functional unit is nse, and the population number of the functional unit is ise ═ 1,2, … and nse.
In step 25, according to the formula
Figure RE-GDA0003791209620000101
Calculating natural condition intrinsic risk R of the specific object NE Wherein, Snd ine The index is an ine th natural disaster severity index, nne is the number of natural disasters occurring in a set time period at the site of the specific object, and ine is 1,2, … and nne.
In step 3, according to the formula
R=(R B +R TC +R M )×R SE ×R NE
And calculating an inherent risk value R of the specific object, wherein the larger the value of R is, the higher the risk degree of the specific object is.
Example 2
Different from the embodiment 1, the method further includes, when a plurality of specific objects to be evaluated exist, calculating an intrinsic risk value for each specific object, and then ranking the risk degrees of all the specific objects according to the intrinsic risk values.
Example 3
As shown in fig. 3, an intrinsic risk judgment and evaluation system for executing the intrinsic risk judgment and evaluation method includes:
the data acquisition unit 10: collecting information data of five factors of buildings, technical conditions, material characteristics and quantity, social environment and natural conditions of the specific object;
the evaluation analysis unit 20: respectively calculating the buildings of the specific objects according to the information data collected by the data acquisition unitInherent risk of R B Intrinsic risk of process conditions R TC Material properties and quantity intrinsic risk R M Social environmental intrinsic risk R SE And natural condition inherent risk R NE And an intrinsic risk value R for the particular subject.
In this embodiment, it is preferable that the evaluation and analysis unit 20 is further configured to rank the risk degrees according to the intrinsic risk values of a plurality of specific objects to be evaluated.
Example 4
In contrast to the above-described embodiments, the evaluation of the respective intrinsic risk value is carried out using a scoring method for at least one of the parameters involved.
In the present embodiment, it is preferable that the parameters mentioned below be assigned by a scoring method.
Tables 1 to 3 show the calculation of the building intrinsic risk R of a specific object B The system comprises a building danger coefficient scoring and assigning table, a fire-resistant grade coefficient scoring and assigning table and a personnel density coefficient scoring and assigning table.
TABLE 1 grading and assigning table for danger coefficient of building
Figure RE-GDA0003791209620000111
TABLE 2 fire rating coefficient rating table
Figure RE-GDA0003791209620000112
TABLE 3 personal Density coefficient score assignment table
Figure RE-GDA0003791209620000113
Tables 4 to 7 show the calculation of the intrinsic risk R of the process conditions of a specific object TC The related equipment volume danger coefficient, operation pressure danger coefficient, operation temperature danger coefficient and operation mode dangerAnd (4) a score assignment table of risk coefficients.
TABLE 4 grading and assigning table for equipment volume danger coefficient
Figure RE-GDA0003791209620000114
Figure RE-GDA0003791209620000121
TABLE 5 evaluation table for risk coefficient of operating pressure
Figure RE-GDA0003791209620000122
TABLE 6 evaluation table for risk coefficient of operating temperature
Figure RE-GDA0003791209620000123
TABLE 7 evaluation table for risk coefficient of operating temperature
Figure RE-GDA0003791209620000124
Tables 8 to 10 show the calculation of the intrinsic risks R of the material characteristics and the amounts of the specific objects, respectively M And the related grading and value-assigning table of the fire hazard coefficient of the chemical materials, the blasting coefficient of the dust materials and the material quantity risk coefficient.
TABLE 8 scoring and assigning table for fire hazard coefficient of chemical materials
Figure RE-GDA0003791209620000125
Figure RE-GDA0003791209620000131
TABLE 9 grading and assigning table for blasting coefficient of dust materials
Figure RE-GDA0003791209620000132
TABLE 10 materials quantity danger coefficient score assignment table
Figure RE-GDA0003791209620000133
Tables 11 to 12 show the calculation of the social environmental inherent risk R of a specific object SE And a grading and value assigning table of the related functional unit position coefficient and the related functional unit population number coefficient.
TABLE 11 functional unit position coefficient score assignment table
Figure RE-GDA0003791209620000141
TABLE 12 functional Unit population number coefficient score assignment table
Figure RE-GDA0003791209620000142
Table 13 shows the calculation of the natural condition intrinsic risk R of a specific object NE And a grading and value assigning table of the related natural disaster severity coefficient.
Table 13 natural disaster severity coefficient score assigning table
Figure RE-GDA0003791209620000143
For each parameter mentioned in tables 1 to 13, the score assignment can be performed by referring to the tables, and other score assignment tables can be set according to actual needs, and it should be understood that the tables provided in tables 1 to 13 are only for reference and illustration, and are not limited.
According to the difference of each specific object to be evaluated, in order to simplify calculation and save calculation resources, certain types of inherent risks can be ignored. If, for a commercial complex, no or only a small number of simple process conditions are involved, the risk R inherent to the process conditions can be directly assigned TC Calculating according to 0; for a certain town street or county, the area and height of some buildings are too small and too low, and the influence of the buildings can not be directly calculated.
It should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the foregoing embodiments illustrate the invention in detail, those skilled in the art will appreciate that: it is possible to modify the technical solutions described in the foregoing embodiments or to substitute some or all of the technical features thereof, without departing from the scope of the technical solutions of the present invention.

Claims (10)

1. An intrinsic risk degree judgment and evaluation method comprises the following steps of 1: determining a specific object to be evaluated, and collecting information data of five factors of a building, technical conditions, material characteristics and quantity, social environment and natural conditions of the specific object; the method is characterized in that: further comprising:
and 2, step: respectively calculating the inherent risk R of the building of the specific object according to the information data collected in the step 1 B Intrinsic risk of process conditions R TC Material properties and quantity intrinsic risk R M Social environmental intrinsic risk R SE And natural condition inherent risk R NE
And step 3: and calculating an intrinsic risk value R of the specific object according to the intrinsic risks calculated in the step 2, and evaluating the risk of the specific object according to the intrinsic risk value R.
2. The method for risk assessment of an inherent risk according to claim 1, wherein: in the step 1:
the collected information data of the buildings of the specific objects comprise building classification, fire resistance grade and personnel density information;
the collected information data of the process technical conditions of the specific object comprise equipment volume, operating pressure, operating temperature and operating mode information;
the collected information data of the material characteristics and quantity of the specific object comprise the chemical fire hazard, combustible dust explosion characteristics, material toxicity and material quantity information of the specific object;
the collected information data of the social environment of the specific object comprises the peripheral function unit position and the peripheral population number information of the specific object;
the collected information data of the natural environment of the specific object comprises the frequency and disaster grade information of natural disasters of the specific object in a set time period.
3. The method for risk assessment of an inherent risk according to claim 2, wherein: the step 2 comprises the following steps:
step 21: calculating the inherent risk R of the building of a specific object according to the building classification, the fire-resistant grade and the personnel density information collected in the step 1 B
Step 22: calculating the inherent risk R of the process technical condition of the specific object according to the equipment volume, the operating pressure, the operating temperature and the operation mode information collected in the step 1 TC
Step 23: calculating the material characteristics and the inherent quantity risk R of a specific object according to the chemical fire hazard, combustible dust explosion characteristics, material toxicity and material quantity information collected in the step 1 M
Step 24: calculating the social environment inherent risk R of the specific object according to the peripheral function unit position and the peripheral population number information collected in the step 1 SE
Step 25: calculating the natural condition of the specific object according to the frequency of natural disasters in the set time period and the disaster grade information collected in the step 1At risk of R NE
Step 26: building intrinsic risk R according to the specific object B Intrinsic risk of process conditions R TC Material characteristics and quantity inherent risk R M Social environmental intrinsic risk R SE And natural condition inherent risk R NE And calculating the inherent risk value R of the specific object.
4. The method for risk assessment of an inherent risk according to claim 3, wherein: in step 21, according to the formula
Figure FDA0003645036090000021
Calculating the building intrinsic risk R of the specific object B Wherein, Bc ib Building hazard coefficient, FRr, for the ib-th building included for the particular object ib Fire rating coefficient, Od, of the ib-th building included for the particular object ib The person density coefficient is the person density coefficient of the ibth building included in the specific object, nb is the number of buildings included in the specific object, and ib is 1,2, …, nb.
5. The method for risk assessment and evaluation of inherent risk according to claim 3, wherein: in step 22, according to the formula
Figure FDA0003645036090000022
Calculating the intrinsic risk R of the process technology condition of the specific object TC In which Pb is itc The equipment volume hazard coefficient, Op, for the itc process specification included for the particular object itc Operating pressure hazard coefficient, Ot, for the itc process specification included for the particular object itc Operating temperature hazard coefficient, Om, for the itc process specification included for the particular object itc The operation mode risk coefficient for the itc-th process technical condition included in the specific object is ntc, where itc is 1,2, …, and ntc, which is the number of process technical conditions included in the specific object.
6. The method for risk assessment of an inherent risk according to claim 3, wherein: in step 23, according to the formula R M =R M1 +R M2 Calculating material characteristics and quantity intrinsic risks R of the specific object M Wherein R is M1 Representing inherent risks of the nature and quantity of chemical-like materials, R M2 Representing inherent risks of the characteristics and quantity of the dust materials;
according to the formula
Figure FDA0003645036090000023
Calculating the inherent risks R of the characteristics and the quantity of the chemical materials M1 Wherein, Fc im1 Represents the fire risk coefficient of the im1 chemical class materials, Wb1 im1 Represents the toxicity coefficient of the im1 class chemical materials, Mq1 im1 The risk coefficient of the quantity of the chemical materials of the im1 th class is expressed, nm1 is the number of the chemical materials of the class included in the specific object, and im1 is 1,2, … and nm 1;
according to the formula
Figure FDA0003645036090000031
Calculating inherent risks R of characteristics and quantity of the dust materials M2 In which Ecd im2 Represents the explosion coefficient of the im2 dust material, Wb2 im2 Representing the toxicity coefficient of the im2 dust material Mq2 im2 And the risk coefficient of the quantity of the dust materials of the im2 th class is shown, the nm2 is the number of the dust materials included in the specific object, and im2 is 1,2, … and nm 2.
7. The method for risk assessment of an inherent risk according to claim 3, wherein: in step 24, according to the formula
Figure FDA0003645036090000032
Calculating the social Environment intrinsic Risk R of the particular object SE Wherein, Lfu ise Is the ise th functional unit position coefficient, Pq ise The population number coefficient of the ise th functional unit is nse, and the population number of the functional unit is ise ═ 1,2, … and nse.
8. The method for risk assessment and evaluation of inherent risk according to claim 3, wherein: in step 25, according to the formula
Figure FDA0003645036090000033
Calculating natural condition intrinsic risk R of the specific object NE Wherein, Snd ine The index is an ine th natural disaster severity index, nne is the number of natural disasters occurring in a set time period at the site of the specific object, and ine is 1,2, … and nne.
9. The method for risk assessment of an inherent risk according to claim 3, wherein: in step 3, according to the formula
R=(R B +R TC +R M )×R SE ×R NE
And calculating an inherent risk value R of the specific object, wherein the larger the value of R is, the higher the risk degree of the specific object is.
10. An intrinsic risk assessment system, characterized by: a risk assessment method for performing an inherent risk of any of claims 1-9, comprising:
a data acquisition unit: collecting information data of five factors of buildings, technical conditions, material characteristics and quantity, social environment and natural conditions of the specific object;
an evaluation and analysis unit: respectively calculating the inherent building risk R of the specific object according to the information data collected by the data acquisition unit B Intrinsic risk of process conditions R TC Material properties and quantity intrinsic risk R M Social environmental intrinsic risk R SE And natural condition inherent risk R NE And an intrinsic risk value R for the particular subject.
CN202210527787.1A 2022-05-16 2022-05-16 Risk degree judgment and evaluation method and system for inherent risks Pending CN115099560A (en)

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