CN113344361A - Method for quantifying major safety risk of metal and nonmetal surface mine - Google Patents
Method for quantifying major safety risk of metal and nonmetal surface mine Download PDFInfo
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Abstract
The invention discloses a method for quantifying major safety risks of a metal-nonmetal surface mine. The method comprises the following steps: s1, dividing the surface mine into a slope collapse accident risk point, a blasting accident risk point and a dump collapse accident risk point; s2 risk indexes inherent in the risk point comprise high-risk articles, high-risk equipment, high-risk processes, high-risk places and high-risk operations; s3, respectively calculating the inherent risk index h of the risk points; s4, taking the weighted cumulative value of the site personnel exposure indexes of the inherent danger indexes H as unit inherent danger indexes H; s5, measuring the initial high risk management and control frequency G of the unit; s6 cell initial high-risk safety risk value R0(ii) a S7 measurement cell realistic risk RNAnd determining the risk classification standard of the surface mine unit. The invention improves the intrinsic safety degree and the safety management level of the metal and nonmetal surface mine, prevents serious accidents, lightens the accident harm consequences, and controls the safety risk of the metal and nonmetal surface mineProviding theoretical and technical guidance.
Description
Technical Field
The invention belongs to the technical field of enterprise safety risk quantification, and particularly relates to a major safety risk quantification method for a metal-nonmetal surface mine.
Background
The mine industry belongs to one of high-risk industries, potential safety hazards are main factors causing accidents, and the potential safety hazards in the enterprise production process need to be identified and then subjected to hierarchical management and control to realize the safety management of the enterprise.
In the aspect of mine risk identification and safety assessment, a more scientific identification and assessment method is needed to make scientific and effective assessment aiming at mine safety conditions and provide decision basis for managers.
The Zhang Ji seedling adopts a workplace risk assessment method, takes a workplace as a unit, determines an identification route of a 'inspection and maintenance task related to equipment from a place to the equipment in the place', ensures the comprehensiveness of identification of a hazard source, and reasonably distributes management and control responsibilities on the basis of appointed hierarchical division.
By analyzing the defects of the traditional identification model, a risk factor identification analysis model based on the combination of a Work Breakdown Structure (WBS) and R-SHEL is provided, and the unsafe events of the system are used as cut-in analysis points to realize the comprehensive identification of the risk factors.
Li Quanming et al establishes a non-coal mine safety assessment method from two aspects of non-coal mine site safety management and inherent risk, and carries out more comprehensive grasp and evaluation on the non-coal mine safety management and the inherent risk.
The Nie Xin and the like propose an improved matter element extension method for evaluating the risk of an enterprise, normalize the matter element quantity value by using a membership function, simultaneously introduce an intermediate variable simplified formula, and determine the index weight by adopting a method of combining a variable weight theory and an improved weight entropy.
Zhang Chang et al propose double prevention mechanism for safety loophole in the production process in the safety production field, and carry out safety risk classification management and control on metal mineral geology exploration unit for internal mechanism.
The accident types of the open-pit mine mainly include blasting and collapse; if the accident happens, serious casualties and economic losses are caused to a great extent.
The significance of establishing a double prevention mechanism is that two defense lines are set in the accident evolution process, so that a transmission chain of danger from a source (a danger source) to a tail end (an accident) is cut off, and the purpose of controlling the accident is finally achieved.
China has already produced relevant documents of a double prevention mechanism for non-coal open-pit mines, but certain problems still exist in the specific implementation process.
And (3) combining the characteristics of accident rules, grasping key parts and key links, developing the identification and evaluation of the safety risk of the metal-nonmetal surface mine, establishing a general metal-nonmetal surface mine safety risk quantification method, and providing a metal-nonmetal open-air mine major risk quantification model.
Disclosure of Invention
The invention aims to provide a method for quantifying the major safety risk of a metal-nonmetal surface mine aiming at the defects in the prior art, which is used for improving the intrinsic safety degree and the safety management level of the metal-nonmetal surface mine, preventing major accidents, reducing the accident harm consequences and providing technical guidance for the safety risk control of the metal-nonmetal surface mine.
The technical solution of the invention is as follows: a method for quantifying major safety risks of metal and nonmetal surface mines comprises the following steps:
s1, dividing the surface mine into a slope collapse accident risk point, a blasting accident risk point and a dump collapse accident risk point;
s2 screening the inherent risk indexes and elements of the risk points, and expressing the risk points in a high risk list form; the risk indexes inherent in the risk points comprise high-risk articles, high-risk equipment, high-risk processes, high-risk places and high-risk operations;
s2.1, risk measurement is carried out on the risk points of the slope collapse accidents;
s2.2, inherent risk measurement of blasting accident risk points;
s2.3, risk measurement is carried out on the risk points of the collapse accidents of the refuse dump;
s3, inherent risk indexes h of the slope collapse accident risk point, the blasting accident risk point and the dump collapse accident risk point are calculated respectively;
s4, taking the site personnel exposure index weighted cumulative value of the intrinsic risk index H of the slope collapse accident risk point, the blasting accident risk point and the dump collapse accident risk point as a unit intrinsic risk index H;
s5, measuring the unit initial high risk control frequency G by taking the reciprocal of the unit safety production standardization score percentage as a unit risk frequency index;
s6, aggregating the unit initial high-risk control frequency and the unit inherent risk index to obtain a unit initial high-risk safety risk value R0;
S7, correcting the unit initial high-risk safety risk value by adopting the dynamic real risk correction index, and meteringUnit reality risk RNAccording to the unit real risk RNThe values determine surface mine unit risk classification criteria.
According to the embodiment of the invention, the high-risk equipment facilities are measured by the intrinsic safety level of the risk points of the surface mine; the high-risk item is determined by potential energy or thermal energy characteristics of the risk point storage; the high risk places refer to exposure risk indexes of operators under side slopes of surface mines, in blasting areas, in downstream ranges of dumping yards and in surface mines; the high-risk process refers to failure rate of monitoring and controlling facilities for slope stability monitoring, blasting monitoring and dumping site slope monitoring of the surface mine; the high-risk operation refers to high-risk operation related to the surface mine, and comprises special operation, dangerous operation and special equipment operation.
According to the embodiment of the invention, the S2.1 slope collapse accident risk point inherent risk measurement comprises the following steps:
s2.1.1 high risk facility hsThe safety coefficient of the slope collapse risk point is used for measuring, and values are taken from normal working conditions and abnormal working conditions, wherein the value range is 1-1.7; the corresponding relation table of stope slope landslide risk level and danger index is as follows:
s2.1.2 determining the high-risk articles according to the potential energy characteristics of the steep slope with high risk points, determining the value M according to the slope height grading result, and taking the value of 1-9; the corresponding relationship between the grade index of the height of the side slope and the height is shown in the following table:
index of height grade | Name of classification | Height (m) | Characteristic value M |
1 | Ultrahigh side slope | >500 | 9 |
2 | High slope | 200~500 | 6.3 |
3 | Middle and high slope | 100~200 | 3.6 |
4 | Low slope | <100 | 1 |
;
S2.1.3 the high risk place E is measured by the number of exposed persons P in the risk point, and the value is given according to the index assignment table of the exposed persons at the risk point:
the number of exposed persons (P) | E value |
More than 100 people | 9 |
30 to 99 people | 7 |
10 to 29 persons | 5 |
3 to 9 persons | 3 |
0 to 2 persons | 1 |
;
S2.1.4 the failure rate of the monitoring and controlling facilities of high risk technique refers to the displacement of slope, particle speed and mining stress, and the failure rate correction coefficient K of the monitoring and controlling facilities1Characterization, K11+ l, where l represents the average value of monitoring the failure rate of the monitoring facility; the slope monitoring and controlling indexes are shown in a corresponding relation table of the process and the risk index:
s2.1.5 high risk operation is determined by risk correction factor K2Characterization, K21+0.05t, wherein t represents the number of risk points related to the high risk work category; the high-risk operation types of the open-air slope collapse accidents are shown in a corresponding relation table of operation and danger indexes:
according to the embodiment of the invention, the S2.2 blasting accident risk point inherent risk measurement comprises the following steps:
s2.2.1 high risk facility hsThe surface mine blasting accident risk point does not relate to high risk equipment facilities, hsTaking a value of 1;
s2.2.2 the characteristic value M of the danger index of the high-risk substance is determined according to the blasting engineering grade in blasting safety regulations, the value is 1-9, and the corresponding relation table of the grading explosive quantity of the blasting engineering and the danger index is as follows:
s2.2.3 high risk place E refers to blasting area, measured by the number of exposed persons P in the risk point in the blasting area, and the value is given according to the index assignment table of the exposed persons at the risk point:
the number of exposed persons (P) | E value |
More than 100 people | 9 |
30 to 99 people | 7 |
10 to 29 persons | 5 |
3 to 9 persons | 3 |
0 to 2 persons | 1 |
;
S2.2.4 the high risk process refers to failure rate of monitoring and controlling facility for video monitoring of blasting and static monitoring of lightning, and the failure rate correction coefficient K of monitoring and controlling facility1Characterization, K11+ l, where l represents the average value of monitoring the failure rate of the monitoring facility; the explosion monitoring and monitoring indexes are shown in a corresponding relation table of the process and the danger index:
s2.2.5 high risk operation is determined by risk correction factor K2Characterization, K21+0.05t, wherein t represents the number of risk points related to the high risk work category; the high risk operation type of the blasting accident is shown in a corresponding relation table of operation and danger index:
according to the embodiment of the invention, the S2.3 dump collapse accident risk point inherent risk measurement comprises the following steps:
s2.3.1 high risk facility hsThe safety stability of the waste dump is measured, the value is 1-1.7 according to the grade of the waste dump and the safety standard, and the table shows the corresponding relation between the safety stability of the waste dump and the danger index:
s2.3.2 the characteristic value M of the danger index of the high-risk substance is determined by the potential energy characteristic of the refuse dump side slope at the risk point, the value M is determined according to the grading result of the stacking height and the refuse discharge volume of the refuse dump, the value is 1-9, and the corresponding relation between the refuse dump grade and the stacking height is as follows:
s2.3.3 high riskAnd the site E refers to a downstream area of a refuse dump, is measured by the number of exposed persons P in the risk points, and takes values according to an index assignment table of the exposed persons at the risk points:
the number of exposed persons (P) | E value |
More than 100 people | 9 |
30 to 99 people | 7 |
10 to 29 persons | 5 |
3 to 9 persons | 3 |
0 to 2 persons | 1 |
;
S2.3.4 the high risk process refers to the failure rate of monitoring facilities such as displacement of earth discharge site, precipitation, video monitoring, etc., and the failure rate correction coefficient K of the monitoring facilities1Characterization, K11+ l, where l represents the average value of monitoring the failure rate of the monitoring facility; monitoring and controlling indexes of the refuse dump, which are shown in a corresponding relation table of the process and the danger index:
s2.2.5 high risk operation is determined by risk correction factor K2Characterization, K21+0.05t, wherein t represents the number of risk points related to the high risk work category; the high risk operation types of the exposed sky slope are shown in a corresponding relation table of operation and risk index:
according to the embodiment of the invention, the calculation formula of the risk point inherent risk index h is as follows
h=hsNEK1K2
In the formula: h iss-a risk point intrinsic risk index;
m-material risk factor;
e-site personnel exposure index;
K1-monitoring the monitored failure rate correction factor;
K2-a risk correction factor;
the intrinsic risk index H of a unit is defined as
In the formula: hi-the intrinsic risk index of the ith risk point within the cell;
ei-exposure index of personnel at ith risk point site in unit;
f, cumulative value of exposure index of personnel at each risk point and place in the unit;
n-number of risk points within a unit.
According to the embodiment of the invention, the dynamic real risk correction index comprises a high-risk monitoring characteristic index, a dynamic accident potential data correction coefficient, a special period index, a high-risk Internet of things index, a natural environment index and a pre-alarm handling index;
the high risk monitoring characteristic index refers to the early warning result of the slope displacement, precipitation and video monitoring dynamic safety production on-line monitoring index;
the high-risk monitoring characteristic index is a high-risk dynamic monitoring characteristic index alarm signal coefficient K3Characterizing;
the real-time alarm of the online monitoring project is divided into a first-level alarm (yellow alarm), a second-level alarm (orange alarm) and a third-level alarm (red alarm);
when the online monitoring project reaches 3 primary alarms, recording as 1 secondary alarm; when the monitoring project reaches 2 secondary alarms, marking as 1 tertiary alarm;
therefore, the weights of the first-level alarm, the second-level alarm and the third-level alarm are respectively set to be 1, 3 and 6, the coefficients after normalization processing are respectively 0.1, 0.3 and 0.6, namely the alarm signal is correctedThe coefficients, the formula is described as: k3=1+0.1a1+0.3a2+0.6a3
K3-high risk dynamic monitoring of characteristic index alarm signal coefficients;
a1-number of yellow alarms;
a2-number of orange alarms;
a3-number of red alarms;
if the high risk on-line monitoring characteristic index is less or the early warning signal is only divided into normal and abnormal, if the on-line monitoring characteristic index early warning signal is normal, K31 is ═ 1; if not, the risk R is realized for the initial unit0A first gear is lifted; the dynamic correction coefficient BS correction method of the accident potential data comprises the following steps: the general accident potential is deducted according to an evaluation method corresponding to the safety production standardization evaluation standard, and then the deduction value is corrected to the safety production standardization score of the enterprise, so that dynamic updating is realized;
the rule is as follows: (1) correcting the deduction value of the common accident potential by the initial unit high risk management and control index (G);
(2) putting major accident potential on initial unit real risk R0A first gear is lifted;
the special period index refers to the legal holiday, the national or local important activity period;
the high risk Internet of things index refers to a production safety accident of a recent unit and a typical similar accident in China, abroad; the recent period is generally 1 month to 6 months;
the natural environment index refers to the occurrence of meteorological, earthquake and geological disasters in an area;
index in special period, high risk Internet of things, and natural environment index vs initial high risk safety risk value R of unit0A first gear is lifted; the early warning treatment index correction method comprises the following steps: yellow early warning information appears, and enterprises do not deal with the yellow early warning information within 24 hours; orange early warning information appears, enterprises do not deal with the orange early warning information within 12h, and the initial high-risk safety risk value R of the unit is obtained0A first gear is lifted;
unit real risk RNDynamically correcting index pair sheet for realistic riskInitial high-risk safety risk value R0And (5) performing a correction result.
According to the embodiment of the invention, the high risk dynamic monitoring characteristic index alarm signal coefficient K3Dynamically correcting the inherent risk index h of the risk point to obtain a dynamic monitoring index correction value h of the inherent risk index of the risk pointd(ii) a The formula is expressed as
hd=hK3
hdThe risk point inherent risk index dynamic monitoring index modification value;
h-risk point inherent risk index;
K3-high risk dynamic monitoring characteristic index alarm signal correction factor;
a plurality of risk points exist in the unit area, and the inherent danger index dynamic modification value H of the unitDDynamic monitoring index correction value h for inherent danger indexes of a plurality of risk pointsdiWeighted aggregate value with site personnel exposure index; the formula is expressed as:
HD-dynamic modification of the unit intrinsic hazard index;
hdi-the modification value of the intrinsic risk index dynamic monitoring index of the ith risk point in the unit;
Ei-the exposure index of personnel at the ith risk point site within the cell;
f, cumulative value of exposure index of personnel at each risk point and place in the unit;
n-number of risk points within a unit;
initial high risk safety risk R of unit0By aggregating the unit high risk management and control frequency G with the intrinsic risk index: r0=GHD
R0-a unit initial high risk safety risk value;
g is unit risk management and control frequency index value;
HD-dynamic modification of the unit intrinsic hazard index.
According to the inventionIn the embodiment, the unit risk classification standard is obtained by standardizing the integral risk of the surface mine enterprises, and the integral risk grade R of the enterprises is represented by the maximum value max (R) of the actual risk of the units in the enterprisesNi) Is determined, i.e. is
R=max(RNi)。
The actual risk of the unit is divided into four levels according to the strict high principle, and the risks in different levels correspond to different early warning levels and early warning signals, which are shown in the following table.
Realistic risk value RN | Risk rating | Risk level notation | Early warning level |
30>RN | Risk of four stages | IV | Blue non-warning |
50>RN≥30 | Third degree risk | III | Yellow early warning |
85>RN≥50 | Second degree risk | II | Orange early warning |
RN≥85 | First degree risk | I | Red early warning |
The unit risk grading standard is applied to the overall risk standardization score of underground mine enterprises, and the overall risk grade R of the enterprises is represented by the maximum value max (R) of the actual risk of the units in the enterprisesNi) Determination, i.e. R ═ max (R)Ni)。
The beneficial technical effects of the invention are as follows: (1) providing a metal-nonmetal surface mine major risk quantification method from a unit to a risk point; (2) compiling a unit high-risk list of the metal and nonmetal open-pit mine, and providing basis and reference for later-stage risk evaluation; (3) the hidden danger troubleshooting management and control system and the hidden danger troubleshooting management and control list are improved in a combined mode according to the improved risk management and control list, so that hidden danger troubleshooting work is more targeted; (4) compared with a high-risk list, an analysis object is determined, the blindness to the control of important safety risks is reduced, the target perception is realized, and the limitation of practitioners on the rule standards, related knowledge and experience is avoided; (5) the method comprises the steps of (1) integrating induction factors, consequence severity, social bearing capacity, potential safety hazards and accident big data of high-risk accidents to establish a risk analysis model, and calculating a risk value; the high risk value is also dynamically changed, for example, the management level of a certain high risk device is greatly improved, and the risk value is reduced; but if the social bearing capacity is reduced, the risk value is increased even if the management level is improved; (6) establishing a unified risk grade system and an early warning value according to the high risk value and the risk coefficient; (7) evaluating the risk severity (inherent risk) of the risk points on the basis of identification and analysis according to related technical data and field investigation and analogy analysis results of the metal and nonmetal open-pit mine; the evaluation model is used for application in a typical metal-nonmetal surface mine, so that the feasibility of the evaluation model is verified; (8) by implementing the risk classification management and control of each unit, the security risk consciousness of the whole personnel can be obviously enhanced, the security risk is changed from passive prevention and control to active prevention and control, and the early warning of the security risk is ensured to be timely and accurate, and the potential safety hazard is eliminated in time; (9) identifying the safety risks by each department, workshop and team according to relevant standards, so as to be beneficial to determining the safety risk classes, determining the safety risk levels and scientifically making an enterprise safety risk level distribution list and a safety risk distribution map; (10) the method aims to improve the intrinsic safety degree and the safety management level of the metal and nonmetal surface mine, prevent serious accidents and reduce the damage consequences of the accidents, and provides theoretical and technical guidance for the safety risk management and control of the metal and nonmetal surface mine.
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FIG. 1 is a flow chart of a method for quantifying major safety risks of a metal-nonmetal surface mine.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples.
A method for quantifying major safety risks of metal and nonmetal surface mines is characterized by comprising the following steps:
s1, dividing the surface mine into a slope collapse accident risk point, a blasting accident risk point and a dump collapse accident risk point;
s2 screening the inherent risk indexes and elements of the risk points, and expressing the risk points in a high risk list form; the risk indexes inherent in the risk points comprise high-risk articles, high-risk equipment, high-risk processes, high-risk places and high-risk operations;
s2.1, risk measurement is carried out on the risk points of the slope collapse accidents;
s2.2, inherent risk measurement of blasting accident risk points;
s2.3, risk measurement is carried out on the risk points of the collapse accidents of the refuse dump;
s3, inherent risk indexes h of the slope collapse accident risk point, the blasting accident risk point and the dump collapse accident risk point are calculated respectively;
s4, taking the site personnel exposure index weighted cumulative value of the intrinsic risk index H of the slope collapse accident risk point, the blasting accident risk point and the dump collapse accident risk point as a unit intrinsic risk index H;
s5, measuring the unit initial high risk control frequency G by taking the reciprocal of the unit safety production standardization score percentage as a unit risk frequency index;
s6, aggregating the unit initial high-risk control frequency and the unit inherent risk index to obtain a unit initial high-risk safety risk value R0;
S7, the dynamic real risk correction index is adopted to correct the initial high-risk safety risk value of the unit, and the real risk R of the unit is measuredNAccording to the unit real risk RNThe values determine surface mine unit risk classification criteria.
And (3) risk evaluation: and identifying possible hazards of each risk mode by adopting a risk matrix method, judging possible consequences of the hazards and the possibility of the consequences, and multiplying the possible consequences and the possibility of the consequences to determine the risk grade.
Risk classification and management and control measures: according to the evaluation result, sequentially classifying the risk into four classes, namely class I, class II, class III and class IV, so as to represent the risk level; on the basis of risk identification and risk assessment, measures are taken in advance to eliminate or control risks.
The risk evaluation unit uses the division experience of the safety production standardization unit for reference, uses a relatively independent process system as an inherent risk identification evaluation unit, and is generally divided by workshops.
The division principle of the unit gives consideration to the seamless butt joint of the unit safety risk management and control capability and the safety production standardized management and control system.
The risk points are in the unit area, and the accident points with the possibly induced great weight of the unit are taken as the risk points.
And judging the result and possibility of the damage according to the possible damage of each operation unit, and multiplying the result and the possibility to obtain the risk of the determined damage.
The managed risk factor identification identifies and obtains the security management level of the unit, and is generally characterized by a security standardization level.
Identifying unit dynamic risk factors: various methods and systems are applied, dynamic risk factors of units, high-risk dynamic monitoring factors, safety production basic management dynamic factors, natural environment dynamic factors, internet of things big data dynamic factors, special period dynamic factors and the like are continuously identified.
The high risk dynamic monitoring factor is extracted from the existing monitoring system of an enterprise, such as ground pressure, gas composition, mine pit water inrush and the like, and the factor is used for dynamically correcting the inherent risk index of a risk point.
And (3) dynamically correcting indexes and screening elements of the actual risk of the surface mine: the high-risk monitoring characteristic indexes mainly depend on monitoring and monitoring online systems which are required to be installed in strip mine enterprises, such as metallic and non-metallic surface mine high and steep slope safety monitoring technical specifications, blasting safety regulations, non-ferrous metal mine dump design standards and the like, and send out red, orange, yellow and blue early warning signals to dynamically influence risks; the safety production basic management dynamic indexes comprise accident potential dynamic indexes, mainly refer to dynamic changes of a safety production management system and field management, and are used for measuring common accident potential and serious accident potential; the influence of upgrading management and control on the region is brought forward by special period indexes such as national or local important activities and legal festivals and holidays; accidents are caused by typical similar production accident cases at home and abroad, and the safety of the operation state of an enterprise per se is emphasized in the period; disturbance of the fluctuation of natural disasters to risks; in addition, for enterprises with untreated early warning results, the risk is corrected by upgrading again; and the risk is reduced by adopting the ideal measures to implement ore closure on the strip mine.
The accident potential dynamic factor is extracted from a potential hazard troubleshooting system and is divided into 2 indexes of general accident potential and major accident potential.
And acquiring the natural environment dynamic factor from a meteorological system, and selecting meteorological and geological disaster data which influence the unit accident.
The big data dynamic factor of the Internet of things is extracted from a national security big data platform, and the same type accident data related to the unit system is selected.
The special period dynamic factor is obtained from a government affairs network and a national calendar.
And (3) unit dynamic risk list compilation: after the dynamic risk factors are identified, a dynamic risk list of the unit is compiled and updated in time according to the regulations.
Inherent '5 +1+ N' risk index system of metal nonmetal open mine high risk: the risk point dynamic correction method is composed of risk point inherent risk indexes, unit risk frequency indexes and unit actual risk dynamic correction indexes.
Unit risk frequency index: and (4) carrying out high-risk management and control frequency index on the enterprise safety management current overall safety degree representation unit.
Dynamic correction indexes of unit actual risks: the dynamic risk index system mainly analyzes index elements and characteristic values from the aspects of high-risk monitoring characteristic indexes, accident potential dynamic indexes, Internet of things big data indexes, special period indexes, natural environment and the like to construct an index system.
The inherent risk index focuses on taking high-risk articles (such as potential energy of a high and steep slope), high-risk processes (such as monitoring and monitoring facilities for slope body displacement, particle velocity, mining stress and the like), high-risk equipment (such as safety and stability of a refuse dump), high-risk places (such as an operation platform under the slope), and high-risk operations (such as high-risk operations related to the slope of an open-pit mine, such as special operations, dangerous operations, special equipment operations and the like) as five risk factors of an index system, analyzing index elements and characteristic values, and constructing the inherent risk index system.
Risk management and control indexes: and indicating the high risk management and control frequency of the enterprise safety management current overall safety degree representation unit. Safety production standardization is an important measure of the safety control level of enterprises. The basic standard of standardization for enterprise safety production (GB/T33000-.
Risk dynamic adjustment indexes: the safety state is dynamically changed and can change along with monitoring indexes, control states, external natural environments and accident big data analysis results, and the dynamic risk index system mainly analyzes index elements and characteristic values from the aspects of high-risk monitoring characteristic indexes, safety production basic management dynamic indexes, special period indexes, high-risk Internet of things indexes, natural environments and the like.
Intrinsic risk indicator metrology model: the measurement of risk indexes inherent in the risk points comprises measurement of high-risk articles, high-risk equipment, high-risk processes, high-risk places and high-risk operations.
A) High risk devices: characterized by the equipment intrinsic hazard index hs.
B) High risk items: high risk items are characterized by a substance risk index M.
C) High risk locations: high risk locations are characterized by a location personnel exposure index E.
D) High risk process: high risk process monitoring facility failure rate correction coefficient K1And (5) characterizing.
E) High risk work: high-risk operation correction coefficient K2And (5) characterizing.
Defining the risk index h as h ═ hsMEK1K2
hs-high risk equipment index;
m-material hazard coefficient;
e-site personnel exposure index;
K1-monitoring the monitored failure rate correction factor;
K2-high risk job risk correction factor.
The risk points of the slope collapse accident are provided with risk measurement.
High risk facility (h)s) The safety coefficient of the side slope collapse risk point is used for measuring, values are taken mainly from normal working conditions and abnormal working conditions, and the value range is 1-1.7.
Determining high-risk articles (M) (energy) according to potential energy characteristics of the high-steep side slope with the risk point, determining the value of M according to the grade grading result of the side slope height by referring to the grading method of metallurgical mine mining design specifications and metal nonmetal surface mine high-steep side slope safety monitoring technical specification grades, and taking the value of 1-9; the corresponding relationship between the grade index of the slope height and the height is shown in the following table.
Index of height grade | Name of classification | Height (m) | Characteristic value M |
1 | Ultrahigh side slope | >500 | 9 |
2 | High slope | 200~500 | 6.3 |
3 | Middle and high slope | 100~200 | 3.6 |
4 | Low slope | <100 | 1 |
And (E) a high-risk place (E), wherein the high-risk place refers to an operation platform under a side slope and is measured by the number P of exposed people in a risk point.
The number of exposed persons (P) | E value |
More than 100 people | 9 |
30 to 99 people | 7 |
10 to 29 persons | 5 |
3 to 9 persons | 3 |
0 to 2 persons | 1 |
High risk process (K)1) The high risk process refers to the failure rate of monitoring and controlling facilities of slope displacement, particle speed and mining stress; monitoring and controlling the failure rate correction coefficient (embodying the process risk) K of the facility1Characterization, K11+ l, where l represents the average value of monitoring the failure rate of the monitoring facility; and monitoring the slope.
High risk work (K)2) The high-risk operation refers to high-risk operation related to the strip mine slope, such as special operation, dangerous operation, special equipment operation and the like; by a risk correction factor K2Characterization, K21+0.05t, where t denotes that the risk point relates to the number of high risk job categories.
The high risk operation types of the open slope collapse accidents are shown in the following table.
The blasting accident risk point is inherently risk-measuring.
High risk facility hsThe surface mine blasting accident risk point does not relate to high risk equipment facilities, hsTaking the value 1.
High risk site (E) a high risk site refers to the blast zone, measured by the number of persons P exposed in the blast zone.
The number of exposed persons (P) | E value |
More than 100 people | 9 |
30 to 99 people | 7 |
10 to 29 persons | 5 |
3 to 9 persons | 3 |
0 to 2 persons | 1 |
The usage amount of the high-risk article (M) and the primary blasting explosive of the high-risk article is determined, the value of M is determined according to the total primary blasting explosive amount by referring to a grading method of blasting safety regulation grade, and the value is 1-9.
The corresponding relation between the grading explosive quantity and the danger index of the blasting engineering is shown in the following table.
High risk process (K)1) The high risk process refers to failure rate of monitoring facilities such as blasting video monitoring, lightning static monitoring and the like, and a failure rate correction coefficient (embodying process risk) K of the monitoring facilities1And (5) characterizing.
Blasting monitoring indexes are shown in the following table.
High risk work (K)2) The high-risk operation refers to high-risk operation of blasting, such as special operation, dangerous operation, special equipment operation and the like, and is determined by a risk correction coefficient K2And (5) characterizing.
The high risk operation type of the blasting accident is shown in the following table.
The risk point of the collapse accident of the waste dump is inherently provided with risk measurement.
High risk facility (h)s). The high-risk facility is measured by the safety and stability of the refuse dump, and is valued according to the grade of the refuse dump and the safety standard, wherein the value is 1-1.7.
And (E) a high-risk site (E), wherein the high-risk site refers to a downstream area of a refuse dump, and the exposure risk index of personnel at the risk point is measured by the number of exposed personnel P in the risk point.
The number of exposed persons (P) | E value |
More than 100 people | 9 |
30 to 99 people | 7 |
10 to 29 persons | 5 |
3 to 9 persons | 3 |
0 to 2 persons | 1 |
And determining the value of the high-risk article (M) according to the grading method of the grading grade of the mining design specification of the metallurgical mine and the safety monitoring technical specification of the high and steep side slope of the metal nonmetal open-pit mine by referring to the potential energy characteristic of the side slope of the refuse dump at the risk point, and determining the value of the M according to the grading result of the stacking height and the refuse dump volume of the refuse dump, wherein the value of the M is 1-9.
The correspondence between the refuse dump grade and the stacking height is shown in the following table.
High risk process (K)1) The high risk process refers to monitoring the failure rate of the monitoring facility such as displacement of a dumping site, precipitation, video monitoring and the like. Monitoring and controlling the failure rate correction coefficient (embodying the process risk) K of the facility1And (5) characterizing.
The monitoring and controlling indexes of the refuse dump are shown in the following table.
High risk work (K)2) The high-risk operation refers to high-risk operation related to a refuse dump, such as special operation, dangerous operation, special equipment operation and the like. By a risk correction factor K2And (5) characterizing.
The types of high risk operations on the open sky side slope are shown in the following table.
A plurality of risk points exist in the unit area, and according to the principle of the safety control theory, the inherent risk index of the unit is a weighted accumulated value of the exposure indexes of the personnel in the places with the inherent risk indexes of the risk points.
The intrinsic risk index H of a unit is defined as
In the formula: hi-the intrinsic risk index of the ith risk point within the cell;
ei-exposure index of personnel at ith risk point site in unit;
f, cumulative value of exposure index of personnel at each risk point and place in the unit;
n-number of risk points within a unit.
The unit risk frequency index is divided into 100 grades according to the safety production standardization professional evaluation standard, and the first grade is the highest grade.
The unit initial high risk management and control frequency index is measured from the enterprise safety production management and control standardization degree, namely, a unit safety production standardization score assessment method is adopted to measure the probability of the unit inherent risk initial accident.
And taking the reciprocal of the unit safety production standardization score as a unit high-risk management and control frequency index. The initial high risk management and control frequency of the metering unit is G100/v
G, unit initial high risk management and control frequency;
v-safety production standardization self-rating/review score.
Real risk dynamic correction index (N) real-time correction of unit initial high risk safety risk (R)0) Or risk point intrinsic risk index (h).
The high risk monitoring characteristic correction coefficient (K)3) The correction method comprises the following steps: the high-risk monitoring characteristic correction coefficient refers to dynamic online monitoring data closely related to safety production, such as slope displacement, rainfall, temperature and the like.
And (4) correcting the inherent risk index (h) of the risk point by using the high risk dynamic monitoring characteristic index alarm signal coefficient.
The real-time alarm of the online monitoring project is divided into a first-level alarm (low alarm), a second-level alarm (middle alarm) and a third-level alarm (high alarm).
When the online monitoring project reaches 3 primary alarms, recording as 1 secondary alarm; and when the monitoring item reaches 2 secondary alarms, recording as 1 tertiary alarm.
Therefore, the weights of the first-level alarm, the second-level alarm and the third-level alarm are respectively set to be 1, 3 and 6, the coefficients after normalization processing are respectively 0.1, 0.3 and 0.6, namely the alarm signal correction coefficients, and the formula is described as follows: k3=1+0.1a1+0.3a2+0.6a3
K3-high risk dynamic monitoring of characteristic index alarm signal coefficients;
a1-number of yellow alarms;
a2-number of orange alarms;
a3-number of red alarms.
If the high risk on-line monitoring characteristic indexes are less or the early warning signals are only divided into normal and abnormal.
If the on-line monitoring characteristic index early warning signal is normal, K31 is ═ 1; if not, the initial unit real risk (R) is promoted.
The dynamic correction coefficient (BS) correction method for the accident potential data comprises the following steps: and the indexes are integrally divided into general accident hidden dangers and major accident hidden dangers according to 8 elements of the safety production basic management dynamic indexes, the accident hidden dangers identified by the monitoring video and the accident hidden dangers reported by all levels of supervision departments as basic dynamic data.
And (4) deducting the common accident potential according to an evaluation method corresponding to the safety production standardization evaluation standard, and correcting the deduction value to the enterprise safety production standardization score so as to realize dynamic updating.
And (4) correcting the deduction value of the common accident potential to the high-risk management and control index (G) of the initial unit.
The method provides a first grade for the initial unit real risk (R) with the major accident hidden danger.
The special time index correction method comprises the following steps: statutory holidays, national or local significant activities, and the like. The initial unit real risk (R) is promoted.
The high risk Internet of things index correction method comprises the following steps: the production safety accidents of recent units and typical similar accidents occurring in China and abroad provide a grade for the initial unit actual risk (R).
The natural environment index correction method comprises the following steps: disasters such as weather, earthquake, geology and the like occur in the area. The initial unit real risk (R) is promoted.
The early warning treatment index correction method comprises the following steps: yellow early warning information appears, and enterprises do not deal with the yellow early warning information within 24 hours; orange early warning information appears, and the enterprise is not disposed within 12 h. The initial unit real risk (R) is promoted.
Unit real risk (R)N) Dynamically modifying index versus unit initial high risk safety risk (R) for realistic risk0) And (5) performing a correction result.
And (4) shifting unit risk levels by using safety production basic management dynamic indexes, special period indexes, high-risk Internet of things indexes, natural environment indexes and early warning treatment indexes.
The risk point inherent danger index dynamic monitoring index modification value (h)d) Alarm signal correction coefficient (K) is indicated through high risk dynamic monitoring characteristic3) And dynamically correcting the inherent risk indexes of the risk points: h isd=hK3
hdThe risk point inherent risk index dynamic monitoring index modification value;
h-risk point inherent risk index;
K3-high risk dynamic monitoring characteristic index alarm signal correction factor.
And the unit inherent danger index dynamic correction value is obtained. A plurality of risk points exist in the unit area, and the inherent danger index of the unit dynamically modifies the value (H) according to the principle of safety control theoryD) Dynamically monitoring index modification values (h) for inherent risk indices for a plurality of risk pointsdi) And a site personnel exposure index weighted cumulative value.
HD-dynamic modification of the unit intrinsic hazard index;
hdi-the modification value of the intrinsic risk index dynamic monitoring index of the ith risk point in the unit;
Ei-the exposure index of personnel at the ith risk point site within the cell;
f, cumulative value of exposure index of personnel at each risk point and place in the unit;
n-number of risk points within a unit.
Initial high risk safety risk (R) of the above units0) By using unit high-risk pipeThe control frequency (G) is aggregated with the intrinsic risk index: r0=GHD
R0-a unit initial high risk safety risk value;
g is unit risk management and control frequency index value;
HD-dynamic modification of the unit intrinsic hazard index.
Example (b): the method is used for risk quantification by taking a certain open pit mine as an example.
According to the relevant technical data provided by the company, the results of field investigation and analog investigation and the characteristics of the system, on the basis of typical sudden and serious accident case analysis, the basic characteristics of the strip mine safety risk system and the existing research thereof are combined, and typical indexes are selected according to the principles of scientificity, operability, relative completeness, relative independence and pertinence, so that an inherent risk index system and a dynamic risk index system of typical serious risk points are formed.
On the basis of the analysis of the strip mine unit safety risk system, the main points of strip mine disaster accident management and control are found to be slope collapse, blasting and dumping yard collapse.
In the open pit accidents, the accidents of slope collapse, blasting and dumping site collapse are more and are taken as typical accident risk points.
The entire strip mine can be divided into 3 major typical accident risk points, which are the slope collapse (landslide) accident risk point and the blasting accident (blasting) risk point, respectively.
(1) The risk index of the slope collapse accident of five high is taken as a value.
High risk equipment (h)s) The safety coefficient of the mine open slope is 2.1, and according to the corresponding relation between the stope slope safety coefficient and the characteristic value of the high-risk equipment facility, the high-risk equipment facility h with the slope collapse can be knowns1=1.7。
High risk process (K)1) The facility of the monitoring and monitoring equipment for the open slope of the mine is intact, the failure rate is all 0, so the average value of the failure rate of the monitoring and monitoring equipment is 0, and the high-risk technological index K can be known according to the formula 3.111=1+0=1。
High risk locations (E). The number of people who work on the working platform under the open slope of the mine is 15, and the characteristic value E of the high-risk place can be known1=5。
A high risk item (M). The highest height of the mine side slope is 48M, and the mine side slope belongs to a low side slope, so that the characteristic value M of high-risk dangerous goods1=1。
High risk work (K)2). According to the practical situation of the mine, the number t of the high-risk operation types of the open slope designed by the mine is 4, and the high-risk operation index K is known21=1+0.05×4=1.2。
(2) And taking the value of the risk index of the blasting operation accident 'five high'.
High risk equipment (h)s) Since the blasting operation has no fixed place, no fixed high-risk equipment facilities exist, and the index h of the high-risk equipment facilities can be takens2=1。
High risk process (K)1) The mine blasting monitoring equipment is in good condition, the failure rates of the monitoring equipment are all 0, so that the average value of the failure rates of the monitoring equipment is 0, and the high-risk process index K can be known12=1+0=1。
High risk locations (E). The number of the working people in the mine blasting area is 15, and the characteristic value E of a high risk place can be known2=5。
A high risk item (M). The maximum dosage of the ore primary blasting is 6t, and the grade of the ore blasting engineering can be known to be C, so that the characteristic value M of the high-risk articles2=3.6。
High risk work (K)2). Based on the actual situation of the mine, the number t of the high risk operation types related to blasting in the mine is 4, and the blasting high risk operation index K is known22=1+0.05×4=1.2。
The value of the mine high-risk management and control index (1) is obtained.
The risk management and control index is measured by the reciprocal of the standardized score of the enterprise safety production, and is used as the unit initial high-risk management and control index after metering. The grade of the standard for safe production of the ore is first grade, and the standard production score v of the ore is 90. Then, the unit initial high-level risk control index G-100/v-100/90-1.11 may be calculated.
The mine dynamic modification index (N) takes values.
And monitoring characteristic indexes of high-risk risks. The high-risk monitoring characteristic indexes take the alarm threshold values of dynamic safety production on-line monitoring indexes such as rainfall, slope displacement, underground water level and the like as timely correction indexes.
And (4) safety production basic management indexes (including accident potential dynamic indexes). The 8 elements are classified and evaluated according to a standardized examination and handling method into general accident hidden dangers and major accident hidden dangers. In addition, the general accident potential and major accident potential indexes include potential hazards identified by video monitoring (including unmanned aerial vehicles) and accident potential hazards reported by supervision departments at all levels.
And carrying out grading or degradation treatment on indexes in a special period, indexes of high-risk Internet of things, natural environment indexes, early warning treatment and surface restoration and utilization.
The mine risk site is inherently risk-assessing.
According to the definition of the inherent risk indexes of the risk points, the inherent risk indexes h of the open slope collapse risk points, the blasting risk points and the earth discharge site risk points can be calculated1、h2And h3The calculation process is as follows:
h1=hs1×M1×E1×K11×K21=1.7×1×5×1×1.2=10.2
h2=hs2×M2×E2×K12×K22=1×3.6×5×1×1.2=21.6
h3=hs3×M3×E3×K13×K23=1.3×3.6×1×1×1.05=4.914
the mine unit is initially assessed and graded for security risk.
And (4) unit initial safety risk assessment.
Intrinsic risk index of unit H ═ H1×(E1/F)+h2×(E2/F)+h3×(E310.2 × (5/11) +21.6 × (5/11) +4.914 × (1/11) ═ 14.9,/F), then the initial high risk according to unitA management and control index G for calculating an initial security risk R0=G×H=1.11×14.9=16.54。
And (4) carrying out real safety risk classification on the units.
According to the unit initial security risk R0As can be seen, the real risk R of the mine unitN open air=R0And obtaining the real risk grade of the unit as low risk, the real safety risk grade of the unit as IV grade and the early warning signal as blue.
The present invention is not limited to the above-mentioned embodiments, and it will be apparent to those skilled in the art that various modifications and improvements can be made without departing from the principle of the present invention, and these modifications and improvements are considered to be within the scope of the present invention. Details not described in this specification are within the skill of the art that are well known to those skilled in the art.
Claims (9)
1. A method for quantifying major safety risks of metal and nonmetal surface mines is characterized by comprising the following steps:
s1, dividing the surface mine into a slope collapse accident risk point, a blasting accident risk point and a dump collapse accident risk point;
s2 screening the inherent risk indexes and elements of the risk points, and expressing the risk points in a high risk list form; the risk indexes inherent in the risk points comprise high-risk articles, high-risk equipment, high-risk processes, high-risk places and high-risk operations;
s2.1, risk measurement is carried out on the risk points of the slope collapse accidents;
s2.2, inherent risk measurement of blasting accident risk points;
s2.3, risk measurement is carried out on the risk points of the collapse accidents of the refuse dump;
s3, inherent risk indexes h of the slope collapse accident risk point, the blasting accident risk point and the dump collapse accident risk point are calculated respectively;
s4, taking the site personnel exposure index weighted cumulative value of the intrinsic risk index H of the slope collapse accident risk point, the blasting accident risk point and the dump collapse accident risk point as a unit intrinsic risk index H;
s5, measuring the unit initial high risk control frequency G by taking the reciprocal of the unit safety production standardization score percentage as a unit risk frequency index;
s6, aggregating the unit initial high-risk control frequency and the unit inherent risk index to obtain a unit initial high-risk safety risk value R0;
S7, the dynamic real risk correction index is adopted to correct the initial high-risk safety risk value of the unit, and the real risk R of the unit is measuredNAccording to the unit real risk RNThe values determine surface mine unit risk classification criteria.
2. The method as claimed in claim 1, wherein the high-risk facilities are measured in terms of intrinsic safety level of risk points of the surface mine; the high-risk item is determined by potential energy or thermal energy characteristics of the risk point storage; the high risk places refer to exposure risk indexes of operators under side slopes of surface mines, in blasting areas, in downstream ranges of dumping yards and in surface mines; the high-risk process refers to failure rate of monitoring and controlling facilities for slope stability monitoring, blasting monitoring and dumping site slope monitoring of the surface mine; the high-risk operation refers to high-risk operation related to the surface mine, and comprises special operation, dangerous operation and special equipment operation.
3. The method for quantifying major safety risks in the open air under metal and nonmetal surfaces according to claim 1, wherein the S2.1 slope collapse accident risk point fixed risk measure comprises:
s2.1.1 high risk facility hsThe safety coefficient of the slope collapse risk point is used for measuring, and values are taken from normal working conditions and abnormal working conditions, wherein the value range is 1-1.7; the corresponding relation table of stope slope landslide risk level and danger index is as follows:
s2.1.2 determining the high-risk articles according to the potential energy characteristics of the steep slope with high risk points, determining the value M according to the slope height grading result, and taking the value of 1-9; the corresponding relationship between the grade index of the height of the side slope and the height is shown in the following table:
;
S2.1.3 the high risk place E is measured by the number of exposed persons P in the risk point, and the value is given according to the index assignment table of the exposed persons at the risk point:
;
S2.1.4 the failure rate of the monitoring and controlling facilities of high risk technique refers to the displacement of slope, particle speed and mining stress, and the failure rate correction coefficient K of the monitoring and controlling facilities1Characterization, K11+ l, where l represents the average value of monitoring the failure rate of the monitoring facility; the slope monitoring and controlling indexes are shown in a corresponding relation table of the process and the risk index:
s2.1.5 high risk operation is determined by risk correction factor K2Characterization, K21+0.05t, wherein t represents the number of risk points related to the high risk job category; the high-risk operation types of the open-air slope collapse accidents are shown in a corresponding relation table of operation and danger indexes:
4. the method for quantifying the major safety risk of the metal-nonmetal surface mine according to claim 1, wherein the S2.2 blasting accident risk point inherent risk measure comprises:
s2.2.1 high risk facility hsThe surface mine blasting accident risk point does not relate to high risk equipment facilities, hsTaking a value of 1;
s2.2.2 the characteristic value M of the danger index of the high-risk substance is determined according to the blasting engineering grade in blasting safety regulations, the value is 1-9, and the corresponding relation table of the grading explosive quantity of the blasting engineering and the danger index is as follows:
s2.2.3 high risk place E refers to blasting area, measured by the number of exposed persons P in the risk point in the blasting area, and the value is given according to the index assignment table of the exposed persons at the risk point:
;
S2.2.4 the high risk process refers to failure rate of monitoring facility for video monitoring of blasting and static monitoring of lightning, and the failure rate correction coefficient K of monitoring facility1Characterization, K11+ l, where l represents the average value of monitoring the failure rate of the monitoring facility; the blasting monitoring index is shown in a corresponding relation table of the process and the risk index:
s2.2.5 high risk operation is determined by risk correction factor K2Characterization, K21+0.05t, wherein t represents the number of risk points related to the high risk job category; the high risk operation type of the blasting accident is shown in a corresponding relation table of operation and danger index:
5. the method for quantifying the major safety risk of the metal-nonmetal surface mine according to claim 1, wherein the S2.3 inherent risk measure of the dump collapse accident risk point comprises:
s2.3.1 high risk facility hsThe safety stability of the waste dump is measured, the value is 1-1.7 according to the grade of the waste dump and the safety standard, and the table shows the corresponding relation between the safety stability of the waste dump and the danger index:
s2.3.2 the characteristic value M of the danger index of the high-risk substance is determined by the potential energy characteristic of the side slope of the refuse dump at the risk point, the value M is determined according to the grading result of the dump height and the dump volume, the value is 1-9, and the corresponding relation table of the dump grade and the dump height is as follows:
s2.3.3 high risk place E indicates the downstream area of the refuse dump, measured by the number of exposed persons P in the risk point, and the value is given according to the index assignment table of the exposed persons in the risk point:
;
S2.3.4 the high risk process refers to the failure rate of monitoring facilities such as displacement of earth discharge site, precipitation, video monitoring, etc., and the failure rate correction coefficient K of the monitoring facilities1Characterization, K11+ l, where l represents the average value of monitoring the failure rate of the monitoring facility; monitoring and controlling indexes of the refuse dump, which are shown in a corresponding relation table of the process and the danger index:
s2.2.5 high risk operation is determined by risk correction factor K2Characterization, K21+0.05t, wherein t represents the number of risk points related to the high risk job category; the high risk operation types of the exposed sky slope are shown in a corresponding relation table of operation and risk index:
6. the method for quantifying the major safety risk of a metal-nonmetal open-pit mine according to claim 1, wherein the risk index h inherent to the risk point is calculated by the following formula
h=hsNEK1K2
In the formula: h iss-a risk point intrinsic risk index;
m-material risk factor;
e-site personnel exposure index;
K1-monitoring the monitored failure rate correction factor;
K2-a risk correction factor;
the intrinsic risk index H of a unit is defined as
In the formula: hi-the intrinsic risk index of the ith risk point within the cell;
ei-exposure index of personnel at ith risk point site in unit;
f, cumulative value of exposure index of personnel at each risk point and place in the unit;
n-number of risk points within a unit.
7. The method for quantifying the major safety risk of the metal-nonmetal surface mine according to claim 1, wherein the dynamic correction index of the actual risk comprises a high risk monitoring characteristic index, a dynamic correction coefficient of accident potential data, a special period index, a high risk internet of things index, a natural environment index and an early warning treatment index;
the high risk monitoring characteristic index refers to the early warning result of the dynamic safety production on-line monitoring index of slope displacement, precipitation and video monitoring;
the high-risk monitoring characteristic index is a high-risk dynamic monitoring characteristic index alarm signal coefficient K3Characterizing;
real-time alarm of an online monitoring project is divided into first-level alarm (yellow alarm), second-level alarm (orange alarm) and third-level alarm (red alarm);
when the online monitoring project reaches 3 primary alarms, recording as 1 secondary alarm; when the monitoring item reaches 2 secondary alarms, recording as 1 tertiary alarm;
therefore, the weights of the first-level alarm, the second-level alarm and the third-level alarm are respectively set to be 1, 3 and 6, the coefficients after normalization processing are respectively 0.1, 0.3 and 0.6, namely the alarm signal correction coefficients, and the formula is described as follows: k3=1+0.1a1+0.3a2+0.6a3
K3-high risk dynamic monitoring of characteristic index alarm signal coefficients;
a1-number of yellow alarms;
a2-number of orange alarms;
a3-number of red alarms;
if the high risk on-line monitoring characteristic index is less or the early warning signal is only divided into normal and abnormal, if the on-line monitoring characteristic index early warning signal is normal, K31 is ═ 1; if not, the risk R is realized for the initial unit0A first gear is lifted;
the dynamic correction coefficient BS correction method of the accident potential data comprises the following steps: the general accident potential is deducted according to an evaluation method corresponding to the safety production standardization evaluation standard, and then the deduction value is corrected to the safety production standardization score of the enterprise, so that dynamic updating is realized;
the rule is as follows: (1) correcting the deduction value of the common accident potential by the initial unit high risk management and control index (G);
(2) putting major accident potential on initial unit real risk R0A first gear is lifted;
the special period index refers to the legal holiday, the national or local important activity period;
the high risk Internet of things index refers to a production safety accident of a recent unit and a typical similar accident in China, abroad; the near term is generally 1 month to 6 months;
the natural environment index refers to the occurrence of meteorological, earthquake and geological disasters in an area;
index in special period, high risk Internet of things, and natural environment index vs initial high risk safety risk value R of unit0A first gear is lifted;
the early warning treatment index correction method comprises the following steps: early warning information of yellow appearanceEnterprises do not dispose within 24 h; orange early warning information appears, enterprises do not deal with the orange early warning information within 12h, and the initial high-risk safety risk value R of the unit is obtained0A first gear is lifted;
unit real risk RNDynamically correcting index pair unit initial high-risk safety risk value R for actual risk0The result of the correction is performed.
8. The method for quantifying the major safety risk of a metal-nonmetal surface mine according to claim 7, wherein the high risk dynamic monitoring characteristic index alarm signal coefficient K3Dynamically correcting the inherent risk index h of the risk point to obtain a dynamic monitoring index correction value h of the inherent risk index of the risk pointd(ii) a Expression of the formula as hd=hK3
hdThe risk point inherent risk index dynamic monitoring index modification value;
h-risk point inherent risk index;
K3-high risk dynamic monitoring characteristic index alarm signal correction factor;
a plurality of risk points exist in the unit area, and the inherent danger index dynamic modification value H of the unitDDynamic monitoring index correction value h for inherent danger indexes of a plurality of risk pointsdiWeighted aggregate value with site personnel exposure index; the formula is expressed as:
HD-dynamic modification of the unit intrinsic hazard index;
hdi-the modification value of the intrinsic risk index dynamic monitoring index of the ith risk point in the unit;
Ei-the exposure index of personnel at the ith risk point site within the cell;
f, cumulative value of exposure index of personnel at each risk point and place in the unit;
n-number of risk points within a unit;
initial high risk safety risk R of unit0By aggregating the unit high risk management and control frequency G with the intrinsic risk index:
R0=GHD
R0-a unit initial high risk safety risk value;
g is unit risk management and control frequency index value;
HD-dynamic modification of the unit intrinsic hazard index.
9. The method as claimed in claim 1, wherein the unit risk classification standard is an enterprise risk standardized score of the surface mine, and the enterprise risk classification R is an enterprise risk maximum value max (R) of the actual risk of the unit in the enterpriseNi) Determination, i.e. R ═ max (P)Ni)。
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117994462A (en) * | 2024-04-03 | 2024-05-07 | 云南省地质科学研究所 | Digital mine topography model building method |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103093099A (en) * | 2013-01-22 | 2013-05-08 | 辽宁工程技术大学 | Opencast coal mine safety evaluation method |
CN108038630A (en) * | 2017-12-31 | 2018-05-15 | 湖北兴业华德威安全信息技术股份有限公司 | A kind of metal and nonmetal bargh security risk grading evaluation method |
CN109740925A (en) * | 2018-12-29 | 2019-05-10 | 精英数智科技股份有限公司 | A kind of safety of coal mines Risk-warning analysis method based on Evaluation formula |
CN111325434A (en) * | 2018-12-17 | 2020-06-23 | 中安智讯(北京)信息科技有限公司 | Coal mine production risk assessment index system construction method based on big data |
KR102247583B1 (en) * | 2020-03-06 | 2021-05-04 | 한국수자원공사 | System and method for evaluating safety index of workplace |
-
2021
- 2021-05-31 CN CN202110601115.6A patent/CN113344361A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103093099A (en) * | 2013-01-22 | 2013-05-08 | 辽宁工程技术大学 | Opencast coal mine safety evaluation method |
CN108038630A (en) * | 2017-12-31 | 2018-05-15 | 湖北兴业华德威安全信息技术股份有限公司 | A kind of metal and nonmetal bargh security risk grading evaluation method |
CN111325434A (en) * | 2018-12-17 | 2020-06-23 | 中安智讯(北京)信息科技有限公司 | Coal mine production risk assessment index system construction method based on big data |
CN109740925A (en) * | 2018-12-29 | 2019-05-10 | 精英数智科技股份有限公司 | A kind of safety of coal mines Risk-warning analysis method based on Evaluation formula |
KR102247583B1 (en) * | 2020-03-06 | 2021-05-04 | 한국수자원공사 | System and method for evaluating safety index of workplace |
Non-Patent Citations (1)
Title |
---|
王先华: "钢铁企业重大风险辨识评估技术与管控体系研究", 《2019’中国金属学会冶金安全与健康年会论文集》, 30 October 2019 (2019-10-30), pages 7 - 9 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117994462A (en) * | 2024-04-03 | 2024-05-07 | 云南省地质科学研究所 | Digital mine topography model building method |
CN117994462B (en) * | 2024-04-03 | 2024-06-07 | 云南省地质科学研究所 | Digital mine topography model building method |
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