CN112783100A - Memory, chemical enterprise safety production risk early warning method, equipment and device - Google Patents
Memory, chemical enterprise safety production risk early warning method, equipment and device Download PDFInfo
- Publication number
- CN112783100A CN112783100A CN201911077929.3A CN201911077929A CN112783100A CN 112783100 A CN112783100 A CN 112783100A CN 201911077929 A CN201911077929 A CN 201911077929A CN 112783100 A CN112783100 A CN 112783100A
- Authority
- CN
- China
- Prior art keywords
- early warning
- real
- chemical
- time
- score
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 239000000126 substance Substances 0.000 title claims abstract description 230
- 238000004519 manufacturing process Methods 0.000 title claims abstract description 104
- 238000000034 method Methods 0.000 title claims abstract description 79
- 238000012544 monitoring process Methods 0.000 claims abstract description 40
- 230000008569 process Effects 0.000 claims abstract description 40
- 239000007789 gas Substances 0.000 claims description 49
- 239000000383 hazardous chemical Substances 0.000 claims description 24
- 238000004364 calculation method Methods 0.000 claims description 20
- 230000008030 elimination Effects 0.000 claims description 16
- 238000003379 elimination reaction Methods 0.000 claims description 16
- 238000012937 correction Methods 0.000 claims description 13
- 238000010586 diagram Methods 0.000 claims description 13
- 239000011159 matrix material Substances 0.000 claims description 10
- 231100000331 toxic Toxicity 0.000 claims description 9
- 230000002588 toxic effect Effects 0.000 claims description 9
- 239000007788 liquid Substances 0.000 claims description 8
- 230000000694 effects Effects 0.000 abstract description 7
- 238000007726 management method Methods 0.000 description 16
- 238000011156 evaluation Methods 0.000 description 5
- 238000004590 computer program Methods 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 239000000956 alloy Substances 0.000 description 3
- 229910045601 alloy Inorganic materials 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 3
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 239000003086 colorant Substances 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 239000008186 active pharmaceutical agent Substances 0.000 description 1
- 238000012512 characterization method Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000007717 exclusion Effects 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000003672 processing method Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000012502 risk assessment Methods 0.000 description 1
- 230000000192 social effect Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 231100000419 toxicity Toxicity 0.000 description 1
- 230000001988 toxicity Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41875—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by quality surveillance of production
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
- G05B2219/32368—Quality control
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Landscapes
- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Manufacturing & Machinery (AREA)
- Quality & Reliability (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a memory, a chemical enterprise safety production risk early warning method, equipment and a device, wherein the method comprises the following steps: respectively determining the grading scores of the major dangerous sources of the dangerous chemicals of each chemical enterprise; acquiring alarm data of preset monitoring variables of chemical enterprises in real time; respectively calculating a process index, a safety interlocking index and an environment gas index of a working place of the major hazard source according to alarm data of preset monitoring variables; calculating real-time early warning values of key parameters of major hazard sources according to respective preset weight values and real-time scores of the process indexes, the safety interlocking indexes and the environment gas indexes of the operation place; and calculating the real-time safety production risk early warning value of the chemical enterprise according to a preset rule by taking the grading score of the major hazard source of the dangerous chemicals and the real-time early warning value of the key parameter as parameters. The method can automatically, timely and accurately reflect the actual risk condition of the chemical enterprises, thereby improving the government effect on managing the safety production risk of the chemical enterprises.
Description
Technical Field
The invention relates to the field of industrial control, in particular to a memory, a chemical enterprise safety production risk early warning method, equipment and a device.
Background
The chemical industry belongs to high-risk industry, has the characteristics of high temperature, high pressure, toxicity, harmfulness, flammability, explosiveness and wide range of points, can cause serious harm to the society and the environment once major accidents occur, not only causes economic loss, but also generates negative social effect.
With the increasing importance of China on safety production, the accident rate of each dangerous industry is reduced year by year, the safety production situation of enterprises shows a better trend, but the safety accidents of chemical enterprises still happen frequently, and the problems of inadequate intrinsic safety technology, inadequate safety education, inadequate safety management and the like exist.
For the above problems, on one hand, the security management of the enterprise is to be strengthened, and on the other hand, the security supervision of the enterprise by the government is to be strengthened.
In the prior art, particularly for small chemical enterprises with too little safety investment, the work of safety inspection and patrol of the government on the enterprises is generally carried out in a traditional paper ledger mode.
The inventor finds that, in the management method of the safety production risk of the chemical industry enterprise by the government in the prior art, on one hand, a supervisor needs to invest a large amount of workload to analyze and judge, and on the other hand, the problem that the subjectivity of data cannot reflect the actual situation still exists in a mode that many data indexes depend on expert scoring, so that the monitoring and evaluation of the safety production risk of the chemical industry enterprise are interfered, and the existing safety production risk is possibly monitored untimely or lost.
The information disclosed in this background section is only for enhancement of understanding of the general background of the invention and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person skilled in the art.
Disclosure of Invention
The invention aims to improve the timeliness and effectiveness of the government safety supervision department on the safety production risk supervision of the chemical enterprises.
The invention provides a chemical enterprise safety production risk early warning method, which comprises the following steps:
s11, determining the grading scores of the major dangerous sources of the dangerous chemicals of each chemical enterprise respectively;
s12, acquiring alarm data of preset monitoring variables of the chemical enterprises in real time; the preset monitoring variables comprise the temperature, the pressure, the liquid level, toxic and harmful gases and combustible gases of a major hazard source of the chemical enterprise;
s13, respectively calculating a process index, a safety interlocking index and a working place environment gas index of the major hazard source according to the alarm data of the preset monitoring variable; the scores of the process index, the safety interlocking index and the working place environment gas index are comprehensively determined by daily average alarm frequency score, disturbance rate score, repeated alarm point position score, alarm point position ratio score, average alarm elimination duration score and alarm elimination disposal and time rate score;
s14, calculating a real-time early warning value of the key parameter of the major hazard source according to the preset weight value and the real-time score of the process index, the safety interlocking index and the environment gas index of the operation place;
and S15, calculating the real-time safety production risk early warning value of the chemical industry enterprise according to a preset rule by taking the grading score of the major hazard source of the dangerous chemicals and the real-time early warning value of the key parameter as parameters.
In the present invention, the calculating a real-time safety production risk early warning value of the chemical enterprise according to a preset rule by using the classification score of the major hazard source of the hazardous chemical and the real-time early warning value of the key parameter as parameters includes:
s151, dividing the grading value of the major hazard source of the dangerous chemicals and the real-time early warning value of the key parameter into a plurality of grades in advance;
s152, respectively determining the grading grade value of the major dangerous source of the dangerous chemical and the real-time early warning grade value of the key parameter according to the real-time grading score of the major dangerous source of the dangerous chemical and the real-time early warning value of the key parameter;
s153, calculating a real-time safety production risk early warning value of the chemical enterprise according to a preset formula;
the preset formula comprises:
R＝f(RMaj_hazard,RAlarm)＝d·ωMaj_hazard·ωAlarm；
wherein R is a safety production early warning value of a chemical enterprise; omegaMaj_hazardGrading values for major hazard sources of hazardous chemicals; omegaAlarmEarly warning grade values are taken as key parameters in real time; d is a correction coefficient.
In the present invention, the method further comprises:
respectively corresponding a plurality of score grades for classifying major hazard sources of the dangerous chemicals and a plurality of score grades for real-time early warning of the key parameters to preset color values;
and constructing a color frame matrix diagram comprising real-time safety production risk early warning information of a plurality of chemical enterprises according to the real-time major dangerous source grading score of the dangerous chemicals and the color value corresponding to the real-time early warning value of the key parameter of each chemical enterprise.
In the present invention, the method further comprises:
establishing an incidence relation between each color block in the color frame matrix diagram and a preset alarm information record; the incidence relation is used for acquiring the preset alarm information record through the color block; the preset alarm information records comprise enterprise identifications of the chemical enterprises corresponding to the color blocks, process indexes of major hazard sources of the chemical enterprises, safety interlocking indexes and operation place environment gas indexes.
In the present invention, the determining the classification scores of the major hazard sources of hazardous chemicals of each chemical industry enterprise respectively includes:
and when the chemical industry enterprise comprises a plurality of major hazard sources, the grading score of the major hazard source of the highest dangerous chemicals is used as the standard.
The invention also provides a chemical enterprise safety production risk early warning device, which comprises:
the dangerous source grading unit is used for respectively determining the serious dangerous source grading scores of the dangerous chemicals of each chemical enterprise;
the alarm data acquisition unit is used for acquiring alarm data of preset monitoring variables of the chemical enterprises in real time; the preset monitoring variables comprise the temperature, the pressure, the liquid level, toxic and harmful gases and combustible gases of a major hazard source of the chemical enterprise;
the index calculation unit is used for respectively calculating a process index, a safety interlocking index and an environment gas index of a working place of the major hazard source according to the alarm data of the preset monitoring variable; the scores of the process index, the safety interlocking index and the working place environment gas index are comprehensively determined by daily average alarm frequency score, disturbance rate score, repeated alarm point position score, alarm point position ratio score, average alarm elimination duration score and alarm elimination disposal and time rate score;
the parameter early warning calculation unit is used for calculating a key parameter real-time early warning value of the major hazard source according to respective preset weight values and real-time scores of the process index, the safety interlocking index and the working site environment gas index;
and the risk early warning calculation unit is used for calculating the real-time safety production risk early warning value of the chemical enterprise according to a preset rule by taking the grading score of the major hazard source of the dangerous chemicals and the real-time early warning value of the key parameter as parameters.
In the present invention, the risk pre-warning calculation unit includes:
the grading module is used for respectively pre-grading the grading value of the major hazard source of the dangerous chemicals and the real-time early warning value of the key parameter into a plurality of grades;
the grade value calculation module is used for respectively determining the grading grade value of the major dangerous source of the dangerous chemical and the real-time early warning grade value of the key parameter according to the real-time grading score of the major dangerous source of the dangerous chemical and the real-time early warning value of the key parameter;
the result generation module is used for calculating the real-time safety production risk early warning value of the chemical enterprise according to a preset formula;
the preset formula comprises:
R＝f(RMaj_hazard,RAlarm)＝d·ωMaj_hazard·ωAlarm；
wherein R is a safety production early warning value of a chemical enterprise; omegaMaj_hazardGrading values for major hazard sources of hazardous chemicals; omegaAlarmEarly warning grade values are taken as key parameters in real time; d is a correction coefficient.
In the present invention, the method further comprises:
the preset unit is used for respectively corresponding a plurality of score grades for classifying the major hazard sources of the dangerous chemicals and a plurality of score grades for real-time early warning of the key parameters to preset color values;
a matrix generating unit for grading the scores of the dangerous chemical major hazard sources and the key parameters of each chemical enterprise in real time
And constructing a color frame matrix diagram comprising real-time safety production risk early warning information of a plurality of chemical enterprises according to the color value corresponding to the early warning value.
In the present invention, the hazard classification unit includes:
and when the chemical industry enterprise comprises a plurality of major hazard sources, the grading score of the major hazard source of the highest dangerous chemicals is used as the standard.
In another aspect of the embodiment of the present invention, there is further provided a memory, which includes a software program, where the software program is adapted to be executed by a processor to perform the steps of the above-mentioned chemical industry enterprise safety production risk early warning method.
The invention also provides a chemical enterprise safety production risk early warning device, which comprises a computer program stored on a memory, wherein the computer program comprises program instructions, and when the program instructions are executed by a computer, the computer executes the method in the aspects and achieves the same technical effect.
Compared with the prior art, the invention has the following beneficial effects:
on one hand, in the invention, the grading score of the major dangerous source of the dangerous chemicals of the chemical enterprises is obtained according to the 'provisional regulation of the supervision and management of the major dangerous source of the dangerous chemicals' in the 'Accessory 1' grading method of the major dangerous source of the dangerous chemicals 'in the' 40 th order of the State administration of safety and production supervision and administration; on the other hand, the invention also obtains the alarm data of some preset monitoring variables of the chemical enterprises in real time according to the importance degree and the obtaining difficulty of the data; then, after respectively calculating a process index, a safety interlock index and an environment gas index of a working place of a major hazard source of a chemical enterprise according to alarm data of a preset monitoring variable, a real-time early warning value of a key parameter for representing the risk degree of the major hazard source under the current working condition can be further calculated; therefore, in the embodiment of the invention, the real-time safety production risk early warning value of the chemical enterprise is determined by combining the grading score of the dangerous chemical significant risk source of the chemical enterprise and the real-time key parameter real-time early warning value of the chemical enterprise for comprehensive evaluation, so that the production risk condition of the chemical enterprise is mastered.
By the method, the government department can directly acquire the production risk condition of the current working condition of the chemical enterprises in real time in the process of carrying out safety production risk management on the chemical enterprises; therefore, on one hand, a large amount of workload of analysis and judgment of a supervisor is saved; on the other hand, the problem that the subjective performance of data cannot reflect the actual situation in a mode of expert scoring can be avoided, and the government management effect on the safety production risk of the chemical enterprises is further improved.
The foregoing description is only an overview of the technical solutions of the present invention, and in order to make the technical means of the present invention more clearly understood and to make the technical means implementable in accordance with the contents of the description, and to make the above and other objects, technical features, and advantages of the present invention more comprehensible, one or more preferred embodiments are described below in detail with reference to the accompanying drawings.
Drawings
FIG. 1 is a step diagram of a risk early warning method for safety production of chemical enterprises according to the present invention;
FIG. 2 is a diagram of another step of the method for warning the risk of safety production in chemical enterprises in the present invention;
FIG. 3 is a schematic structural diagram of a risk early warning device for safety production of chemical enterprises according to the present invention;
fig. 4 is a schematic structural diagram of the risk early warning device for the safety production of the chemical industry enterprise.
Detailed Description
The following detailed description of the present invention is provided in conjunction with the accompanying drawings, but it should be understood that the scope of the present invention is not limited to the specific embodiments.
Throughout the specification and claims, unless explicitly stated otherwise, the word "comprise", or variations such as "comprises" or "comprising", will be understood to imply the inclusion of a stated element or component but not the exclusion of any other element or component.
Spatially relative terms, such as "below," "lower," "upper," "above," "upper," and the like, may be used herein for ease of description to describe one element or feature's relationship to another element or feature in the figures. It will be understood that the spatially relative terms are intended to encompass different orientations of the object in use or operation in addition to the orientation depicted in the figures. For example, if the items in the figures are turned over, elements described as "below" or "beneath" other elements or features would then be oriented "above" the elements or features. Thus, the exemplary term "below" can encompass both an orientation of below and above. The article may be otherwise oriented (rotated 90 degrees or at other orientations) and the spatially relative terms used herein should be interpreted accordingly.
In this document, the terms "first", "second", etc. are used to distinguish two different elements or portions, and are not used to define a particular position or relative relationship. In other words, the terms "first," "second," and the like may also be interchanged with one another in some embodiments.
Example one
In order to improve timeliness and effectiveness of monitoring and managing safety production risks of chemical enterprises, as shown in fig. 1, an embodiment of the present invention provides a safety production risk early warning method for chemical enterprises, including:
s11, determining the grading scores of the major dangerous sources of the dangerous chemicals of each chemical enterprise respectively;
in practical application, the major hazard can be classified according to the classification method of the major hazard of the hazardous chemicals in the appendix 1 of the provisional regulation on the supervision and management of the major hazard of the hazardous chemicals in the 40 th order of the State safety production supervision and administration, so as to obtain the score of the maximum hazard grade of the chemical enterprises;
preferably, the score of the maximum hazard level of the chemical industry enterprise can be set to four levels, and the calculation formula can be as follows:
in the formula: rMaj_hazardIn order to adopt the ratio of the actual existing (on-line) amount of various dangerous chemicals in the unit and the critical amount specified in the identification of dangerous chemical major hazard source (GBl8218), the sum of the ratios corrected by a correction coefficient is used as a grading index.
q1，q2，…，qnThe actual (on-line) amount of each hazardous chemical (unit: ton);
Q1，Q2，…，Qnis a critical amount (unit: ton) corresponding to each hazardous chemical;
β1，β2…，βncorrection coefficients corresponding to the respective hazardous chemicals;
alpha is the correction factor of the exposed personnel outside the factory area of the major hazard source of the hazardous chemicals.
In practical applications, when a chemical enterprise includes a plurality of major risk sources, the highest dangerous chemical major risk source ranking score may be used as the major dangerous chemical risk source ranking score of the chemical enterprise, that is, the highest dangerous chemical major risk source ranking score of the major dangerous chemical source with the highest score may be used as the major dangerous chemical risk source ranking score of the chemical enterprise.
S12, acquiring alarm data of preset monitoring variables of the chemical enterprises in real time; the preset monitoring variables comprise the temperature, the pressure, the liquid level, toxic and harmful gases and combustible gases of a major hazard source of the chemical enterprise;
in practical application, a Distributed Control System (DCS) of a chemical industry enterprise acquires various monitoring variables to acquire data of various devices including major hazard sources and the like during production control of a process flow, and generates alarm data when the data is abnormal.
In the embodiment of the invention, firstly, monitoring variables (namely preset monitoring variables) such as temperature, pressure, liquid level, toxic and harmful gases and combustible gases of a major hazard source are determined to be used as key parameters for representing the safety risk of a chemical enterprise;
it should be noted that, in addition to the preset monitoring variables already listed above, according to the actual conditions of the chemical industry, a person skilled in the art may also determine other key parameters capable of characterizing the safety risk of the chemical industry as the preset monitoring variables, which is not limited herein.
S13, respectively calculating a process index, a safety interlocking index and a working place environment gas index of the major hazard source according to the alarm data of the preset monitoring variable; the scores of the process index, the safety interlocking index and the working place environment gas index are comprehensively determined by daily average alarm frequency score, disturbance rate score, repeated alarm point position score, alarm point position ratio score, average alarm elimination duration score and alarm elimination disposal and time rate score;
the alarm data of each preset monitoring variable is only independent alarm data and cannot directly reflect the overall risk condition of a chemical enterprise, so that in the embodiment of the invention, the process index, the safety interlocking index and the environment gas index of a working place of a major hazard source are respectively calculated.
Generally, the process index, the safety interlock index and the working place environment gas index can be composed of 6 evaluation items, which are respectively: the daily average alarm frequency, the disturbance rate, the repeated alarm point number, the alarm point proportion, the average alarm elimination duration and the alarm elimination disposal timeliness rate can be set to 20 minutes for each evaluation item, so that the total score is 120 minutes, and the time span can be the alarm frequency continuously accumulated for 30 days. That is, the process index, the safety interlock index, and the work site environmental gas index of the major hazard may be periodically calculated every 30 days as one statistical calculation cycle.
For example, the disturbance rate is calculated by the number of days with alarm/30 days by 100% in this month, the daily concentration of alarm is evaluated, and when the disturbance rate is 0, the score is not deducted, when the disturbance rate is less than or equal to 10%, the score is deducted by 10, and when the disturbance rate is greater than 10%, the score is deducted by 20.
Therefore, the risk of the chemical enterprises can be comprehensively represented from the three aspects of the process index, the safety interlocking index and the environment gas index of the operation place.
S14, calculating a real-time early warning value of the key parameter of the major hazard source according to the preset weight value and the real-time score of the process index, the safety interlocking index and the environment gas index of the operation place;
in the embodiment of the invention, the risk characterization values of the chemical enterprises are comprehensively calculated by further obtaining the three aspects of the process index, the safety interlocking index and the environment gas index of the operation place, so as to obtain a real-time early warning value of a key parameter.
In practical application, the specific calculation method may be:
according to the related standard and system of international alarm management: EEMU _191_ alloy Systems, ANSI/ISA-18.2-2009_ Management of alloy Systems for the Process Industries, API RP 1167_ Pipeline SCADA alloy Management, and the real-time scores of the Process indexes, the safety interlocking indexes and the working place environmental gas indexes are calculated according to the following formulas by combining the actual number taking condition of the chemical industry enterprise.
RAlarm＝α1RA1+α2RA2+α3RA3
In the formula:
RA1the method is a key process production monitoring index;
RA2monitoring indexes for safety interlocking;
RA3monitoring indexes of toxic and harmful and combustible gas in the working place environment;
α1、α2、α3the weight coefficients of the three secondary indexes can be calculated by an analytic hierarchy process according to actual conditions of various places, or can be obtained by a person skilled in the art according to experience or limited experiments; usually three weight coefficients correspond to alpha1＜α2＜α3。
And S15, calculating the real-time safety production risk early warning value of the chemical industry enterprise according to a preset rule by taking the grading score of the major hazard source of the dangerous chemicals and the real-time early warning value of the key parameter as parameters.
Because the chemical enterprises with high grading score of the major dangerous sources of the dangerous chemicals have greater risks under the same risk degree (namely under the condition that the real-time early warning values of the key parameters are the same), in the embodiment of the invention, the risk factors of the grading score of the major dangerous sources of the dangerous chemicals of the chemical enterprises and the real-time early warning values of the key parameters of the chemical enterprises are combined to obtain an overall and comprehensive safety production risk assessment index (namely a safety production risk early warning value).
In practical application, the safety production risk early warning value can be obtained by respectively weighting and summing the grading score of the major hazard source of the hazardous chemicals and the real-time early warning value of the key parameter, and can also be obtained by other calculation methods.
A government supervision department can obtain the intuitive risk state of each chemical enterprise by acquiring a small amount of data of each chemical enterprise in the jurisdiction and performing simple operation processing, and if the safety production risk early warning value of a certain enterprise is ultrahigh or is in a high-level state for a long time, the safety production risk of the chemical enterprise is higher, and measures such as targeted management, supervision and accountability need to be performed. According to the technical scheme in the embodiment of the invention, the basic safety production risk of the chemical enterprises can be monitored and early warned in real time without acquiring a large amount of monitoring data of the chemical enterprises and analyzing and judging the data by professional technicians, so that the management cost of the government on the safety production risk of the chemical enterprises is reduced, and the management effect is improved.
In summary, in the embodiment of the present invention, on one hand, the grading score of the dangerous chemical major hazard source of the chemical enterprises is obtained according to the "provisional regulations for hazardous chemical major hazard source supervision and management" in appendix 1 "grading method of dangerous chemical major hazard source" of the central office of safety production supervision and administration 40 of the national institute of safety and production; on the other hand, alarm data of some preset monitoring variables of the chemical enterprises are obtained in real time according to the importance degree and the obtaining difficulty of the data; then, after respectively calculating a process index, a safety interlock index and an environment gas index of a working place of a major hazard source of a chemical enterprise according to alarm data of a preset monitoring variable, a real-time early warning value of a key parameter for representing the risk degree of the major hazard source under the current working condition can be further calculated; therefore, in the embodiment of the invention, the real-time safety production risk early warning value of the chemical enterprise is determined by combining the grading score of the dangerous chemical significant risk source of the chemical enterprise and the real-time key parameter real-time early warning value of the chemical enterprise for comprehensive evaluation, so that the production risk condition of the chemical enterprise is mastered.
By the embodiment of the invention, a government supervision department can directly acquire the production risk condition of the current working condition of the chemical enterprises in real time in the process of carrying out safety production risk management on the chemical enterprises; therefore, on one hand, a large amount of workload of analysis and judgment of a supervisor can be saved through the embodiment of the invention; on the other hand, the problem that the subjective performance of data cannot reflect the actual situation in a mode of expert scoring can be avoided, and the government management effect on the safety production risk of the chemical enterprises is further improved.
Example two
In order to obtain a more intuitive and accurate safety production risk early warning value, in the embodiment of the present invention, on the basis of the first embodiment, an obtaining manner of the safety production risk early warning value is further optimized, as shown in fig. 2, which specifically includes:
s151, dividing the grading value of the major hazard source of the dangerous chemicals and the real-time early warning value of the key parameter into a plurality of grades in advance;
in practical application, the score of classifying the major hazard sources of the hazardous chemicals can be divided into four grades in advance; the four grades can be further respectively corresponding to color values of four colors of red, orange, yellow and blue; similarly, the score of the real-time early warning of the key parameter can be divided into four grades, and the four grades are respectively corresponding to the color values of the four colors of red, orange, yellow and blue.
Score R for classification of major hazard source of hazardous chemicalsMaj_hazardGrade omega for grading serious dangerous source of dangerous chemicalsmaj_hazardThe correspondence of (a) may be as follows:
score R of real-time early warning of key parametersAlarmGrade omega with real-time early warning of key parametersAlarmThe correspondence of (a) may be as follows:
s152, respectively determining the grading grade value of the major dangerous source of the dangerous chemical and the real-time early warning grade value of the key parameter according to the real-time grading score of the major dangerous source of the dangerous chemical and the real-time early warning value of the key parameter;
after the classification score of the major hazard source of the hazardous chemical and the real-time early warning value of the key parameter are obtained through the presetting in step S151, the classification level value (the level value may be 1, 2, 3 or 4, where 1 is the highest value of the risk level) of the major hazard source of the hazardous chemical and the real-time early warning level value (the level value may also be 1, 2, 3 or 4, where 1 is the highest value of the risk level) of the key parameter can be respectively determined.
S153, calculating a real-time safety production risk early warning value of the chemical enterprise according to a preset formula;
the preset formula comprises:
R＝f(RMaj_hazard,RAlarm)＝d·ωMaj_hazard·ωAlarm；
wherein R is a safety production early warning value of a chemical enterprise; omegaMaj_hazardGrading values for major hazard sources of hazardous chemicals; omegaAlarmEarly warning grade values are taken as key parameters in real time; d is a correction coefficient. In practical application, the initial value of the correction coefficient d may be 1, and then the adjustment is performed according to the actual situation.
The correction coefficient d has the effect that the R grade results of enterprises are respectively distributed in four grades of red, orange, yellow and blue according to the proportion of 20%, 30% and 20% in practical application by adjusting the size of the correction coefficient d; thus, an R value is obtained according to a safety production risk early warning value calculation model of a chemical enterprise, the monitoring efficiency best matching principle (Paretor rule) is applied, the ALARP principle is combined as the reasonable reduction principle as far as possible, the R value of which the early warning value is positioned at the front 20% of all the occurrence times is divided into red and belongs to an unacceptable risk area, the R value positioned between the middle 20% and 50% is divided into orange, the R value positioned at the rear 50% and 80% is divided into yellow, the orange area and the yellow area are allowable risk areas, and the R value positioned at the last 20% is divided into blue and belongs to an widely acceptable risk area, so that the early warning grade division standard is obtained.
The grade division standard of the safety production early warning value R of the chemical enterprises is as follows:
| grade | Red (unacceptable) | Orange colour | Yellow colour | Blue (acceptable) |
| Early warning value (R) | 1～2 | 3～4 | 5～9 | ≥10 |
| Ratio of | 20％ | 30％ | 30％ | 20％ |
Further, in the embodiment of the present invention, the method may further include:
respectively corresponding a plurality of score grades for classifying major hazard sources of the dangerous chemicals and a plurality of score grades for real-time early warning of the key parameters to preset color values;
and constructing a color frame matrix diagram comprising real-time safety production risk early warning information of a plurality of chemical enterprises according to the real-time major dangerous source grading score of the dangerous chemicals and the color value corresponding to the real-time early warning value of the key parameter of each chemical enterprise.
Further, establishing an incidence relation between each color block in the color frame matrix diagram and a preset alarm information record; the incidence relation is used for acquiring the preset alarm information record through the color block; the preset alarm information records comprise enterprise identifications of the chemical enterprises corresponding to the color blocks, process indexes of major hazard sources of the chemical enterprises, safety interlocking indexes and operation place environment gas indexes.
EXAMPLE III
On the other hand, according to another embodiment of the present invention, a chemical enterprise safety production risk early warning apparatus is further provided, and fig. 3 shows a schematic structural diagram of the chemical enterprise safety production risk early warning apparatus according to the embodiment of the present invention, where the chemical enterprise safety production risk early warning apparatus is an apparatus corresponding to the chemical enterprise safety production risk early warning method in the embodiment one corresponding to fig. 1 and fig. 2, that is, the chemical enterprise safety production risk early warning method in the embodiment corresponding to fig. 1 and fig. 2 is implemented by using a virtual apparatus, and each virtual module constituting the chemical enterprise safety production risk early warning apparatus may be executed by an electronic device, such as a network device, a terminal device, or a server. Specifically, the chemical industry enterprise safety production risk early warning device in the embodiment of the invention comprises:
the danger source grading unit 01 is used for respectively determining the major danger source grading scores of the dangerous chemicals of each chemical enterprise;
the alarm data acquisition unit 02 is used for acquiring alarm data of preset monitoring variables of the chemical enterprises in real time; the preset monitoring variables comprise the temperature, the pressure, the liquid level, toxic and harmful gases and combustible gases of a major hazard source of the chemical enterprise;
the index calculation unit 03 is used for respectively calculating a process index, a safety interlock index and an environment gas index of a working place of the major hazard source according to the alarm data of the preset monitoring variable; the scores of the process index, the safety interlocking index and the working place environment gas index are comprehensively determined by daily average alarm frequency score, disturbance rate score, repeated alarm point position score, alarm point position ratio score, average alarm elimination duration score and alarm elimination disposal and time rate score;
the parameter early warning calculation unit 04 is configured to calculate a real-time early warning value of a key parameter of the major hazard source according to respective preset weight values and real-time scores of the process index, the safety interlock index, and the working site environment gas index;
the risk early warning calculation unit 05 is configured to calculate a real-time safety production risk early warning value of the chemical enterprise according to a preset rule by using the classification score of the major hazard source of the hazardous chemical and the real-time early warning value of the key parameter as parameters.
Further, in this embodiment of the present invention, the risk early warning calculation unit 05 may specifically include:
a grading module (not shown in the figure) for pre-dividing the scores of the dangerous chemical major hazard source grades and the scores of the key parameter real-time early warning into a plurality of grades;
a rank value calculation module (not shown in the figure) for determining the rank value of the major dangerous source of the dangerous chemical and the real-time early warning value of the key parameter according to the real-time major dangerous source grading score of the dangerous chemical and the real-time early warning value of the key parameter;
a result generating module (not shown in the figure) for calculating a real-time safety production risk early warning value of the chemical industry enterprise according to a preset formula;
the preset formula comprises:
R＝f(RMaj_hazard,RAlarm)＝d·ωMaj_hazard·ωAlarm；
wherein R is a safety production early warning value of a chemical enterprise; omegaMaj_hazardGrading values for major hazard sources of hazardous chemicals; omegaAlarmEarly warning grade values are taken as key parameters in real time; d is a correction coefficient.
Since the working principle and the beneficial effects of the chemical enterprise safety production risk early warning device in the embodiment of the present invention have been recorded and described in the chemical enterprise safety production risk early warning method corresponding to fig. 1 and fig. 2, they can be referred to each other, and thus are not described herein again.
Example four
In an embodiment of the present invention, a memory is further provided, where the memory includes a software program, and the software program is suitable for a processor to execute each step in the chemical industry enterprise safety production risk early warning method corresponding to fig. 1 or fig. 2.
The embodiment of the present invention may be implemented by a software program, that is, by writing a software program (and an instruction set) for implementing each step in the chemical industry enterprise safety production risk early warning method corresponding to fig. 1 or fig. 2, the software program is stored in a storage device, and the storage device is disposed in a computer device, so that a processor of the computer device may call the software program to implement the purpose of the embodiment of the present invention.
EXAMPLE five
The embodiment of the invention also provides a chemical enterprise safety production risk early warning device, wherein a memory of the chemical enterprise safety production risk early warning device comprises a corresponding computer program product, and program instructions included in the computer program product can enable a computer to execute the chemical enterprise safety production risk early warning method in each aspect and realize the same technical effect when the program instructions are executed by the computer.
Fig. 4 is a schematic diagram of a hardware structure of a chemical industry enterprise safety production risk early warning device as an electronic device according to an embodiment of the present invention, and as shown in fig. 4, the device includes one or more processors 610, a bus 630, and a memory 620. Taking one processor 610 as an example, the apparatus may further include: input device 640, output device 650.
The processor 610, the memory 620, the input device 640, and the output device 650 may be connected by a bus or other means, such as the bus connection in fig. 4.
The memory 620, which is a non-transitory computer readable storage medium, may be used to store non-transitory software programs, non-transitory computer executable programs, and modules. The processor 610 executes various functional applications and data processing of the electronic device, i.e., the processing method of the above-described method embodiment, by executing the non-transitory software programs, instructions and modules stored in the memory 620.
The memory 620 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data and the like. Further, the memory 620 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 620 optionally includes memory located remotely from the processor 610, which may be connected to the processing device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 640 may receive input numeric or character information and generate a signal input. The output device 650 may include a display device such as a display screen.
The one or more modules are stored in the memory 620 and, when executed by the one or more processors 610, perform:
s11, determining the grading scores of the major dangerous sources of the dangerous chemicals of each chemical enterprise respectively;
s12, acquiring alarm data of preset monitoring variables of the chemical enterprises in real time; the preset monitoring variables comprise the temperature, the pressure, the liquid level, toxic and harmful gases and combustible gases of a major hazard source of the chemical enterprise;
s13, respectively calculating a process index, a safety interlocking index and a working place environment gas index of the major hazard source according to the alarm data of the preset monitoring variable; the scores of the process index, the safety interlocking index and the working place environment gas index are comprehensively determined by daily average alarm frequency score, disturbance rate score, repeated alarm point position score, alarm point position ratio score, average alarm elimination duration score and alarm elimination disposal and time rate score;
s14, calculating a real-time early warning value of the key parameter of the major hazard source according to the preset weight value and the real-time score of the process index, the safety interlocking index and the environment gas index of the operation place;
and S15, calculating the real-time safety production risk early warning value of the chemical industry enterprise according to a preset rule by taking the grading score of the major hazard source of the dangerous chemicals and the real-time early warning value of the key parameter as parameters.
Preferably, the calculating the real-time safety production risk early warning value of the chemical enterprise according to a preset rule by using the classification score of the major hazard source of the hazardous chemical and the real-time early warning value of the key parameter as parameters includes:
s151, dividing the grading value of the major hazard source of the dangerous chemicals and the real-time early warning value of the key parameter into a plurality of grades in advance;
s152, respectively determining the grading grade value of the major dangerous source of the dangerous chemical and the real-time early warning grade value of the key parameter according to the real-time grading score of the major dangerous source of the dangerous chemical and the real-time early warning value of the key parameter;
s153, calculating a real-time safety production risk early warning value of the chemical enterprise according to a preset formula;
the preset formula comprises:
R＝f(RMaj_hazard,RAlarm)＝d·ωMaj_hazard·ωAlarm；
wherein R is a safety production early warning value of a chemical enterprise; omegaMaj_hazardGrading values for major hazard sources of hazardous chemicals; omegaAlarmEarly warning grade values are taken as key parameters in real time; d is a correction coefficient.
The product can execute the method provided by the embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method. For technical details that are not described in detail in this embodiment, reference may be made to the method provided by the embodiment of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus, device and method can be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage device and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage device includes: a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a ReRAM, an MRAM, a PCM, a NAND Flash, a NOR Flash, a Memory, a magnetic disk, an optical disk, or other various media that can store program codes.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (11)
1. A chemical enterprise safety production risk early warning method is characterized by comprising the following steps:
s11, determining the grading scores of the major dangerous sources of the dangerous chemicals of each chemical enterprise respectively;
s12, acquiring alarm data of preset monitoring variables of the chemical enterprises in real time; the preset monitoring variables comprise the temperature, the pressure, the liquid level, toxic and harmful gases and combustible gases of a major hazard source of the chemical enterprise;
s13, respectively calculating a process index, a safety interlocking index and a working place environment gas index of the major hazard source according to the alarm data of the preset monitoring variable; the scores of the process index, the safety interlocking index and the working place environment gas index are comprehensively determined by daily average alarm frequency score, disturbance rate score, repeated alarm point position score, alarm point position ratio score, average alarm elimination duration score and alarm elimination disposal and time rate score;
s14, calculating a real-time early warning value of the key parameter of the major hazard source according to the preset weight value and the real-time score of the process index, the safety interlocking index and the environment gas index of the operation place;
and S15, calculating the real-time safety production risk early warning value of the chemical industry enterprise according to a preset rule by taking the grading score of the major hazard source of the dangerous chemicals and the real-time early warning value of the key parameter as parameters.
2. The chemical enterprise safety production risk early warning method according to claim 1, wherein the calculating the real-time safety production risk early warning value of the chemical enterprise according to a preset rule by using the classification score of the major hazard source of the dangerous chemical and the real-time early warning value of the key parameter as parameters comprises:
s151, dividing the grading value of the major hazard source of the dangerous chemicals and the real-time early warning value of the key parameter into a plurality of grades in advance;
s152, respectively determining the grading grade value of the major dangerous source of the dangerous chemical and the real-time early warning grade value of the key parameter according to the real-time grading score of the major dangerous source of the dangerous chemical and the real-time early warning value of the key parameter;
s153, calculating a real-time safety production risk early warning value of the chemical enterprise according to a preset formula;
the preset formula comprises:
R＝f(RMaj_hazard,RAlarm)＝d·ωMaj_hazard·ωAlarm；
wherein R is the safety production early warning value of the chemical enterprises；ωMaj_hazardGrading values for major hazard sources of hazardous chemicals; omegaAlarmEarly warning grade values are taken as key parameters in real time; d is a correction coefficient.
3. The chemical industry enterprise safety production risk early warning method according to claim 2, further comprising:
respectively corresponding a plurality of score grades for classifying major hazard sources of the dangerous chemicals and a plurality of score grades for real-time early warning of the key parameters to preset color values;
and constructing a color frame matrix diagram comprising real-time safety production risk early warning information of a plurality of chemical enterprises according to the real-time major dangerous source grading score of the dangerous chemicals and the color value corresponding to the real-time early warning value of the key parameter of each chemical enterprise.
4. The chemical industry enterprise safety production risk early warning method according to claim 3, further comprising:
establishing an incidence relation between each color block in the color frame matrix diagram and a preset alarm information record; the incidence relation is used for acquiring the preset alarm information record through the color block; the preset alarm information records comprise enterprise identifications of the chemical enterprises corresponding to the color blocks, process indexes of major hazard sources of the chemical enterprises, safety interlocking indexes and operation place environment gas indexes.
5. The chemical industry enterprise safety production risk early warning method according to claim 1, wherein the determining the classification score of the major hazard source of the hazardous chemicals of each chemical industry enterprise respectively comprises:
and when the chemical industry enterprise comprises a plurality of major hazard sources, the grading score of the major hazard source of the highest dangerous chemicals is used as the standard.
6. The utility model provides a chemical industry enterprise safety in production risk early warning device which characterized in that includes:
the dangerous source grading unit is used for respectively determining the serious dangerous source grading scores of the dangerous chemicals of each chemical enterprise;
the alarm data acquisition unit is used for acquiring alarm data of preset monitoring variables of the chemical enterprises in real time; the preset monitoring variables comprise the temperature, the pressure, the liquid level, toxic and harmful gases and combustible gases of a major hazard source of the chemical enterprise;
the index calculation unit is used for respectively calculating a process index, a safety interlocking index and an environment gas index of a working place of the major hazard source according to the alarm data of the preset monitoring variable; the scores of the process index, the safety interlocking index and the working place environment gas index are comprehensively determined by daily average alarm frequency score, disturbance rate score, repeated alarm point position score, alarm point position ratio score, average alarm elimination duration score and alarm elimination disposal and time rate score;
the parameter early warning calculation unit is used for calculating a key parameter real-time early warning value of the major hazard source according to respective preset weight values and real-time scores of the process index, the safety interlocking index and the working site environment gas index;
and the risk early warning calculation unit is used for calculating the real-time safety production risk early warning value of the chemical enterprise according to a preset rule by taking the grading score of the major hazard source of the dangerous chemicals and the real-time early warning value of the key parameter as parameters.
7. The chemical industry enterprise safety production risk early warning device of claim 6, wherein the risk early warning calculation unit comprises:
the grading module is used for respectively pre-grading the grading value of the major hazard source of the dangerous chemicals and the real-time early warning value of the key parameter into a plurality of grades;
the grade value calculation module is used for respectively determining the grading grade value of the major dangerous source of the dangerous chemical and the real-time early warning grade value of the key parameter according to the real-time grading score of the major dangerous source of the dangerous chemical and the real-time early warning value of the key parameter;
the result generation module is used for calculating the real-time safety production risk early warning value of the chemical enterprise according to a preset formula;
the preset formula comprises:
R＝f(RMaj_hazard,RAlarm)＝d·ωMaj_hazard·ωAlarm；
wherein R is a safety production early warning value of a chemical enterprise; omegaMaj_hazardGrading values for major hazard sources of hazardous chemicals; omegaAlarmEarly warning grade values are taken as key parameters in real time; d is a correction coefficient.
8. The chemical industry enterprise safety production risk early warning device of claim 7, further comprising:
the preset unit is used for respectively corresponding a plurality of score grades for classifying the major hazard sources of the dangerous chemicals and a plurality of score grades for real-time early warning of the key parameters to preset color values;
and the matrix generating unit is used for constructing a color frame matrix chart comprising real-time safety production risk early warning information of a plurality of chemical enterprises according to the real-time major hazard source grading score of the dangerous chemicals and the color value corresponding to the real-time early warning value of the key parameter of each chemical enterprise.
9. The chemical industry enterprise safety production risk early warning device of claim 6, wherein the hazard source classification unit comprises:
and when the chemical industry enterprise comprises a plurality of major hazard sources, the grading score of the major hazard source of the highest dangerous chemicals is used as the standard.
10. A memory, characterized by comprising a software program, wherein the software program is suitable for a processor to execute the steps of the chemical industry enterprise safety production risk early warning method according to any one of claims 1 to 5.
11. A chemical industry enterprise safety production risk early warning device, which is characterized by comprising a bus, a processor and a memory as claimed in claim 10;
the bus is used for connecting the memory and the processor;
the processor is configured to execute a set of instructions in the memory.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911077929.3A CN112783100A (en) | 2019-11-06 | 2019-11-06 | Memory, chemical enterprise safety production risk early warning method, equipment and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911077929.3A CN112783100A (en) | 2019-11-06 | 2019-11-06 | Memory, chemical enterprise safety production risk early warning method, equipment and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112783100A true CN112783100A (en) | 2021-05-11 |
Family
ID=75747648
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911077929.3A Pending CN112783100A (en) | 2019-11-06 | 2019-11-06 | Memory, chemical enterprise safety production risk early warning method, equipment and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112783100A (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113591711A (en) * | 2021-07-30 | 2021-11-02 | 沭阳县华源米业股份有限公司 | Granary hazard source safety monitoring method and system based on artificial intelligence |
| CN113807715A (en) * | 2021-09-23 | 2021-12-17 | 厦门标安科技有限公司 | Chemical device risk dynamic early warning method |
| CN114118731A (en) * | 2021-11-10 | 2022-03-01 | 中国电子科技集团公司电子科学研究院 | Dynamic risk early warning classification method and device |
| CN114358651A (en) * | 2022-01-17 | 2022-04-15 | 四创科技有限公司 | Dynamic risk grade calculation method and terminal for single-point hazard source |
| CN114419837A (en) * | 2021-12-07 | 2022-04-29 | 攀枝花钢城集团米易瑞地矿业有限公司 | Safety production early warning system and method thereof |
| CN114429308A (en) * | 2022-02-08 | 2022-05-03 | 河南鑫安利安全科技股份有限公司 | Enterprise security risk assessment method and system based on big data |
| CN116453292A (en) * | 2023-04-20 | 2023-07-18 | 杭州凯棉科技有限公司 | Chemical enterprise production safety risk classification and early warning method |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101067744A (en) * | 2007-06-06 | 2007-11-07 | 中国安全生产科学研究院 | Dynamic monitoring system and method for fireworks and firecracks production storage and transportation process |
| CN104766160A (en) * | 2015-03-19 | 2015-07-08 | 中国石油化工股份有限公司 | Safety production diagnosing and early warning system based on inherent danger level of enterprise |
| CN106485418A (en) * | 2016-10-18 | 2017-03-08 | 成都鼎安华物联网工程应用有限公司 | A kind of risk analysis method and system |
| CN107221117A (en) * | 2017-06-22 | 2017-09-29 | 南通星辰合成材料有限公司 | Method and apparatus for Chemical Manufacture fire alarm and fire-fighting link |
| CN107730124A (en) * | 2017-10-20 | 2018-02-23 | 安厦系统科技成都有限责任公司 | A kind of method for carrying out security risk assessment for enterprise or project |
| CN109598422A (en) * | 2018-11-20 | 2019-04-09 | 苏州百卓网络技术有限公司 | The calculation method and device of regional production safety index |
| CN109816252A (en) * | 2019-01-29 | 2019-05-28 | 四川省安全科学技术研究院 | Tailings Dam integrated risk quantifies method for early warning and device |
-
2019
- 2019-11-06 CN CN201911077929.3A patent/CN112783100A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101067744A (en) * | 2007-06-06 | 2007-11-07 | 中国安全生产科学研究院 | Dynamic monitoring system and method for fireworks and firecracks production storage and transportation process |
| CN104766160A (en) * | 2015-03-19 | 2015-07-08 | 中国石油化工股份有限公司 | Safety production diagnosing and early warning system based on inherent danger level of enterprise |
| CN106485418A (en) * | 2016-10-18 | 2017-03-08 | 成都鼎安华物联网工程应用有限公司 | A kind of risk analysis method and system |
| CN107221117A (en) * | 2017-06-22 | 2017-09-29 | 南通星辰合成材料有限公司 | Method and apparatus for Chemical Manufacture fire alarm and fire-fighting link |
| CN107730124A (en) * | 2017-10-20 | 2018-02-23 | 安厦系统科技成都有限责任公司 | A kind of method for carrying out security risk assessment for enterprise or project |
| CN109598422A (en) * | 2018-11-20 | 2019-04-09 | 苏州百卓网络技术有限公司 | The calculation method and device of regional production safety index |
| CN109816252A (en) * | 2019-01-29 | 2019-05-28 | 四川省安全科学技术研究院 | Tailings Dam integrated risk quantifies method for early warning and device |
Non-Patent Citations (4)
| Title |
|---|
| 广东省安全生产监督管理局: "《危险化学品企业安全生产管理指南》", 31 March 2016 * |
| 张道斌: "危化品企业安全生产预警预报体系现状探析", 《安全、健康和环境》 * |
| 易高翔: "北京市危险化学品企业安全生产风险评估分级研究", 《中国安全生产科学技术》 * |
| 翁锦榕: "化工园区智慧安全应急平台中的数据采集与预警分析", 《电子世界》 * |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113591711A (en) * | 2021-07-30 | 2021-11-02 | 沭阳县华源米业股份有限公司 | Granary hazard source safety monitoring method and system based on artificial intelligence |
| CN113807715A (en) * | 2021-09-23 | 2021-12-17 | 厦门标安科技有限公司 | Chemical device risk dynamic early warning method |
| CN114118731A (en) * | 2021-11-10 | 2022-03-01 | 中国电子科技集团公司电子科学研究院 | Dynamic risk early warning classification method and device |
| CN114419837A (en) * | 2021-12-07 | 2022-04-29 | 攀枝花钢城集团米易瑞地矿业有限公司 | Safety production early warning system and method thereof |
| CN114419837B (en) * | 2021-12-07 | 2023-09-26 | 攀枝花钢城集团米易瑞地矿业有限公司 | Safety production early warning system and early warning method thereof |
| CN114358651A (en) * | 2022-01-17 | 2022-04-15 | 四创科技有限公司 | Dynamic risk grade calculation method and terminal for single-point hazard source |
| CN114429308A (en) * | 2022-02-08 | 2022-05-03 | 河南鑫安利安全科技股份有限公司 | Enterprise security risk assessment method and system based on big data |
| CN116453292A (en) * | 2023-04-20 | 2023-07-18 | 杭州凯棉科技有限公司 | Chemical enterprise production safety risk classification and early warning method |
| CN116453292B (en) * | 2023-04-20 | 2023-12-22 | 杭州凯棉科技有限公司 | Chemical enterprise production safety risk classification and early warning method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112783100A (en) | Memory, chemical enterprise safety production risk early warning method, equipment and device | |
| CN112783101A (en) | Storage, dangerous chemical tank area safety risk early warning method, equipment and device | |
| Cheng et al. | Applying data mining techniques to analyze the causes of major occupational accidents in the petrochemical industry | |
| WO2021232588A1 (en) | Food safety risk assessment method, apparatus, device, and storage medium | |
| CN106485418A (en) | A kind of risk analysis method and system | |
| CN107908550B (en) | Software defect statistical processing method and device | |
| CN112434962B (en) | Enterprise user state evaluation method and system based on power load data | |
| CN113268880B (en) | Dust explosion major safety risk identification and evaluation method | |
| CN111310803B (en) | Environment data processing method and device | |
| Peng et al. | Reliability modelling and assessment of a heterogeneously repaired system with partially relevant recurrence data | |
| CN114282788A (en) | Enterprise risk early warning method and device, electronic equipment and readable storage medium | |
| CN111507603A (en) | Method and system for evaluating current environmental risk situation of in-production enterprise | |
| CN115587893A (en) | Futures transaction supervisory systems based on internet finance | |
| Qi et al. | Modeling of risk treatment measurement model under four clusters standards (ISO 9001, 14001, 27001, OHSAS 18001) | |
| CN113657788A (en) | Enterprise safety production standardization intelligent supervision system and method | |
| CN112116255A (en) | Cross-border renewable resource quality safety early warning method and system | |
| CN114021969B (en) | Agricultural enterprise safety production risk index analysis system | |
| CN110928942A (en) | Index data monitoring and management method and device | |
| Ramsey et al. | Labor dynamics and supply chain disruption in food manufacturing | |
| CN116051053A (en) | Fine management system for technological project declaration flow | |
| CN114167342A (en) | Evaluation method for running health state of relay protection device | |
| CN107679631B (en) | Maintenance scheme making method and operation management platform | |
| CN112561305A (en) | Enterprise data privacy protection evaluation method based on hierarchical model | |
| KOTEK et al. | SAFETY METRICS OF PERFORMANCE FOR SMALL AND MEDIUM-SIZED ENTERPRISES-CASE STUDY. | |
| CN118094531B (en) | Safe operation and maintenance real-time early warning integrated system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210511 |
|
| RJ01 | Rejection of invention patent application after publication |