CN110390453B - Petrochemical equipment process safety risk management system - Google Patents
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Abstract
The invention discloses a petrochemical equipment process safety risk management system, which comprises: basic data maintenance module: it maintains basic data related to petrochemical plant process safety; a knowledge base module: the method comprises the steps of storing a preset protection layer model comprising a plurality of protection layer data; a risk analysis module: the risk prediction method comprises the steps of conducting risk prediction on object equipment to be analyzed, and conducting analysis including reasons, consequences, protective layers and implementation measures on one or more deviations according to the type of data input in an analysis mode based on basic data of the object equipment and protective layer data contained in a dangerous event when a dangerous event risk prediction condition is met, so that a final risk result is obtained. The invention realizes dynamic risk display and rectification tracking, reduces the risk hidden danger, improves the integrity of process safety risk analysis of petrochemical equipment and the working efficiency of an analysis object, and is favorable for establishing a risk database of process management and equipment integrity.
Description
Technical Field
The invention relates to the field of petrochemical industry, in particular to a petrochemical equipment process safety risk management system.
Background
With the continuous popularization and application of HAZOP analysis in petrochemical and chemical enterprises in China, a plurality of consulting companies are involved in the field, and the safety problem and the operability problem in production devices are effectively solved for enterprises.
However, the group chairman of many consulting units lacks on-site experience, the HAZOP use is not standard, and the matrix standard of unified judgment is lacked, so that the HAZOP analysis depth is not enough, the quality is not high, and even different chairmen have different analysis results on the same device unit, so that the analysis is invalid, and the system cannot be used for the actual safety management work of enterprises; and the method employs a primary expert to carry out HALOPA analysis, so that the period is long, the manpower and material resources are consumed greatly, finally, the problem correction condition after the enterprise can not be conveniently tracked and analyzed in time, and the dynamic management of the device risk can not be realized.
Disclosure of Invention
In order to solve the above technical problems, the present invention provides a petrochemical equipment process safety risk analysis system, comprising: basic data maintenance module: which maintains basic data related to process safety of petrochemical equipment and stores evaluation tools for risk analysis, the basic data including at least: petrochemical equipment type information, process unit information in each petrochemical equipment, deviation information of node devices in each process unit and elimination or mitigation measure information in each deviation information; a knowledge base module: the method comprises the steps of storing a preset protection layer model comprising a plurality of protection layer data; a risk analysis module: the risk prediction method comprises the steps of conducting risk prediction on object equipment to be analyzed, and conducting analysis including reasons, consequences, protective layers and implementation measures on one or more kinds of deviation information according to the type of data input in an analysis mode based on basic data of the object equipment and protective layer data contained in a current dangerous event when a dangerous event risk prediction condition is met, so that a final risk result is obtained.
Preferably, the system further comprises: a knowledge base module: the risk analysis system further stores a plurality of risk case cases, wherein each risk case comprises the division condition of the process units and the node devices in the risk analysis process, the selection of the deviation information, the selection condition of the protective layer data and the elimination or mitigation measures aiming at the deviation information, and the generated evaluation result data.
Preferably, the basic data maintenance module further sets an original risk level and an original risk value for each deviation information according to the dangerous event case in the knowledge base module and the protection layer model based on the maintained process unit information of the petrochemical equipment.
Preferably, the risk analysis module further comprises: a basic data setting sub-module, configured to obtain, based on basic data of the target device, the selected petrochemical device type information and the type of the analysis mode input data for the current dangerous event; and the third analysis submodule is started when the type of the input data of the analysis mode is template data analysis, receives and reads the petrochemical equipment type information sent by the basic data setting submodule, acquires the selected process units, node devices and deviation information which need to be analyzed, calls the dangerous event case corresponding to the current deviation information, determines the reason and the consequence of the current deviation information based on the dangerous event type information, and respectively obtains a third dangerous event initial risk value, third protective layer grade data and a third final risk value after measures are implemented by utilizing the risk analysis matrix of the evaluation tool in the basic data maintenance module so as to obtain a corresponding third deviation analysis result.
Preferably, the risk analysis module further comprises: the first analysis submodule is started when the type of the analysis mode input data is primary analysis, receives and reads the petrochemical equipment type information sent by the basic data setting submodule, acquires selected process units, node devices and deviation information which need to be analyzed, identifies the current reason and consequence of the deviation information, and utilizes a risk analysis matrix of the assessment tool in the basic data maintenance module to respectively obtain a first dangerous event initial risk value, first protection layer grade data and a first final risk value after measures are implemented, so that a corresponding first deviation analysis result is obtained.
Preferably, the risk analysis module further comprises: and the second analysis submodule is started when the type of the analysis mode input data is historical data analysis, receives and reads the petrochemical equipment type information sent by the basic data setting submodule, acquires the selected process units, node devices and deviation information which need to be analyzed, calls the historical analysis data corresponding to the current deviation information, determines the reason and the consequence of the current deviation information based on the historical analysis data, and respectively obtains a second dangerous event initial risk value, second protective layer grade data and a second final risk value after measures are implemented by utilizing the risk analysis matrix of the assessment tool in the basic data maintenance module so as to obtain a corresponding second deviation analysis result.
Preferably, the first analysis sub-module further comprises: a first deviation information analysis unit, configured to obtain the process unit, the node device, and the deviation information that need to be analyzed currently, retrieve an original risk level and an original risk value for the current deviation information from the basic data maintenance module, identify cause information and consequence information for the current deviation information, and perform preliminary risk analysis on the current situation of the current dangerous event by using the risk analysis matrix based on the reason information and the consequence information to obtain an initial risk value of the first dangerous event; a first protective layer analysis unit, configured to determine one or more protective layer data corresponding to the current deviation information according to the initial risk value of the first dangerous event, and perform risk degradation analysis after a protective layer is performed on the current dangerous event by using the risk analysis matrix to obtain first protective layer grade data; and the first implementation measure analysis unit is used for determining the current elimination or mitigation measure according to the first protection layer grade data, performing risk degradation analysis after implementation measures on the current dangerous event by using the risk analysis matrix, and calculating the first final risk value.
Preferably, the second analysis submodule further comprises: a second deviation information analysis unit, configured to obtain the process unit, the node device, and the deviation information that need to be analyzed currently, retrieve an original risk level and an original risk value for the current deviation information from the basic data maintenance module, and perform preliminary risk analysis on the current situation of the current dangerous event by using the risk analysis matrix according to the determined reason and consequence of the current deviation information, so as to obtain an initial risk value of the second dangerous event; a second protective layer analysis unit, configured to retrieve each protective layer data in the historical analysis data for the current deviation information according to the second dangerous event initial risk value, determine one or more protective layer data corresponding to the current deviation information, and perform risk degradation analysis after protective layer implementation on the current dangerous event by using the risk analysis matrix to obtain second protective layer grade data; and the second implementation measure analysis unit is used for determining the current elimination or mitigation measure according to the second protective layer grade data, performing risk degradation analysis after implementation measures on the current dangerous event by using the risk analysis matrix, and calculating the second final risk value.
Preferably, the third analysis sub-module further comprises: a third deviation information analysis unit, configured to obtain the process unit, the node device, and the deviation information that need to be analyzed currently, retrieve an original risk level and an original risk value for the current deviation information from the basic data maintenance module, and perform preliminary risk analysis on the current situation of the current dangerous event by using the risk analysis matrix according to the determined reason and consequence of the current deviation information, so as to obtain an initial risk value of the third dangerous event; a third protective layer analysis unit, configured to retrieve each protective layer data in the dangerous event case for the current deviation information according to the third dangerous event initial risk value, determine one or more protective layer data corresponding to the current deviation information, and perform risk degradation analysis after a protective layer is performed on the current dangerous event by using the risk analysis matrix to obtain third protective layer grade data; and the third implementation measure analysis unit is used for determining the current elimination or mitigation measure according to the third protective layer grade data, performing risk degradation analysis after implementation measures on the current dangerous event by using the risk analysis matrix, and calculating a third final risk value.
Preferably, the system further comprises an analysis result storage database, which stores the historical analysis data and can retrieve the stored historical analysis records for different petrochemical equipment and the historical analysis data showing the final risk result of the dangerous event according to the received consulting range information.
In another aspect, a petrochemical plant process safety risk management system is provided, which includes, as described above, the petrochemical plant process safety risk analysis system; a risk management module: the risk analysis module is interconnected with the risk analysis module in the petrochemical equipment process safety risk analysis system, receives all generated final risk results in real time, classifies, counts and displays the results, and achieves dynamic management of device risks.
Preferably, the risk management module further performs cumulative display on the final risk result of each petrochemical device according to a preset risk assessment level, further performs statistics on protective layer level data, elimination or mitigation measures, risk value change before and after rectification aiming at each deviation information in different petrochemical devices, and performs classified display on the statistical result according to personnel injury, social influence, environmental influence and financial influence.
Compared with the prior art, one or more embodiments in the scheme can have the following advantages or beneficial effects:
the risk dynamic real-time display and correction tracking method for the petrochemical equipment helps an analysis object to realize risk dynamic real-time display and correction tracking, facilitates self-checking, self-correction and transverse comparison, reduces risk hidden dangers and production loss, improves the integrity of process safety risk analysis for petrochemical equipment and the working efficiency of the analysis object, and is favorable for establishing a domestic risk database with the maximum process management and equipment integrity.
While the invention will be described in connection with certain exemplary implementations and methods of use, it will be understood by those skilled in the art that it is not intended to limit the invention to these embodiments. On the contrary, the intent is to cover all alternatives, modifications and equivalents as included within the spirit and scope of the invention as defined by the appended claims.
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a block diagram of a petrochemical plant process safety risk analysis system 100 according to an embodiment of the present disclosure.
FIG. 2 is a functional flowchart of the risk analysis module 13 in the petrochemical plant process safety risk analysis system 100 according to an embodiment of the present disclosure.
FIG. 3 is a schematic block diagram illustrating a petrochemical plant process safety risk management system 300 according to an embodiment of the present disclosure.
Detailed Description
The following detailed description of the embodiments of the present invention will be provided with reference to the drawings and examples, so that how to apply the technical means to solve the technical problems and achieve the technical effects can be fully understood and implemented. It should be noted that, as long as there is no conflict, the embodiments and the features of the embodiments of the present invention may be combined with each other, and the technical solutions formed are within the scope of the present invention.
The application provides a process safety risk management system for petrochemical equipment. The method combines the traditional risk analysis methods such as HAZOP, LOPA and the like, carries out risk assessment on dangerous events by utilizing a risk assessment model and a risk matrix which are arranged in a system on the basis of parameters such as the occurrence frequency of dangerous events, dangerous equipment, the existing safety measures, protective layer application and the like, simultaneously refers to a classical HALOPA analysis case which is arranged in the system and aims at analysis objects such as a plurality of equipment, process units, node devices and the like, achieves the system targets of scientific and available analysis results, online storage and intelligent classification of analysis historical data, can realize the initial risk analysis, the current risk analysis and the risk analysis after the measures are implemented and changed aiming at the dangerous events, can look up the historical data and analyze the progress in real time at any time, and improves the working efficiency of safety workers of enterprises; furthermore, the system background is used for carrying out real-time statistics and updating on the analysis data, so that the petrochemical enterprise is helped to realize risk dynamic management, platform data support is provided for enterprise security policy making and management layer risk management, the enterprise security operation level is improved, and the enterprise local security level is improved. It should be noted that the risk prediction analysis for petrochemical equipment is implemented by using the halo analysis method in this example, but this is only a specific example, and the risk prediction analysis method is not specifically limited in this application, and those skilled in the art can select and design the risk prediction analysis according to the actual application.
Before specifically describing the technical scheme of the present application, it should be noted that, in the field of petrochemical industry, petrochemical equipment (object equipment) refers to complete equipment used in a petroleum refining or chemical product production process, each petrochemical equipment needs to complete a series of process flows, each process flow is completed by a process unit, and each process unit is formed by a plurality of node devices. The sulfur recovery equipment mainly comprises process units such as an acid gas feeding unit, a Claus furnace unit, a tail gas absorption tower, a regeneration tower unit, a common engineering unit and the like, wherein taking the acid gas feeding unit (process unit) as an example, the sulfur recovery equipment mainly comprises a node device such as an acid gas liquid separating tank, an acid water discharging tank, a connecting pipeline and the like. When the liquid level of the acidic water discharge tank (node device) in the acidic air inlet material unit is higher than the corresponding safety threshold, the process safety analysis needs to be performed on the dangerous event (namely deviation) that the liquid level of the regenerated acidic gas liquid separation tank in the acidic water discharge tank is too high.
Generally referring to international universal standards, when dangerous events are input based on basic data related to petrochemical equipment process safety, the input dangerous events are preliminarily screened by referring to a safety check table built in a system background, the dangerous events with high severity are confirmed, at the moment, the input conditions of the dangerous events are met, and the system background is automatically brought into the process safety risk analysis system to perform HALOPA analysis. And when the dangerous event entry condition is not met, the system background finishes screening the current dangerous event.
The application provides a process safety risk management system for petrochemical equipment. FIG. 3 is a schematic structural diagram of a petrochemical plant process safety risk management system 300 according to an embodiment of the present disclosure. As shown in FIG. 3, the management system includes a petrochemical plant process safety risk analysis system 100 and a risk management module 34. FIG. 1 is a block diagram of a petrochemical plant process safety risk analysis system 100 according to an embodiment of the present disclosure. As shown in FIG. 1, the system 100 includes a base data maintenance module 11, a knowledge base module 12, and a risk analysis module 13. According to the working logic relationship of the process safety risk management system 300, firstly, maintaining basic information in petrochemical equipment in the basic data module 11, and inputting basic data of dangerous events; then, the data related to the dangerous events selected and completed from the basic data module 11 is substituted into the classic cases in the knowledge base module 12, deep analysis is performed in the risk analysis module 13 with reference to the cases, the final analysis result is output, and the current analysis result is dynamically displayed in the risk management module 34, so that real-time monitoring and management are realized. The functions and components of the modules in the process safety risk analysis system 100 will be described in detail.
A basic data maintenance module 11 that maintains basic data related to process safety of the petrochemical plant and stores an evaluation tool for risk analysis. Further, the module 11 can also set an original risk level and an original risk value for each deviation information based on the process unit information of the maintained petrochemical equipment with reference to the risk event case and the protective layer model in the knowledge base module 12 described below to determine the analysis grading depth (i.e., the depth of determining the risk possibility level and the consequence level for the cause and consequence when calculating the initial risk value). Wherein, above-mentioned basic data include: organization information (including analysis organization name, organization type, etc.), petrochemical equipment type information (including equipment type, name, management registrant, etc.), process unit information in each petrochemical equipment (at least including process unit type), deviation information (risk analysis guide word, deviation name, etc.) of each node device in each process unit, and corresponding elimination or mitigation measure information (including measure content, measure corresponding level for reducing risk occurrence probability) in each deviation information. In addition, the basic data maintenance module 11 stores the designed evaluation tool: 7 x 8 risk analysis matrix. The risk analysis matrix is provided with input information of two dimensions of risk occurrence probability (probability value of petrochemical equipment generating a current dangerous event) and risk consequence grade (classification is carried out from different degrees of casualty, economic loss, environmental damage, social influence and the like caused by the dangerous event), wherein any one occurrence probability grade and any one risk consequence grade correspond to a final risk value, and the risk value can evaluate the dangerous event from four aspects of personal injury, social influence, environmental influence and financial influence.
In the process safety risk analysis system, any dangerous event needing to be predicted is recorded and analyzed on the basis of the recorded basic data, so that analysis result information such as a risk level, consequence information, an consequence level and a risk level after the existing measures are implemented for the event is obtained. Specifically, when a certain dangerous event is analyzed for the first time, first, type information and organization information of a device to which the dangerous event belongs are input, for example: enterprises and the departments/units; then, under the department/unit maintenance, the relevant information of the process unit and the deviation information of the dangerous event are recorded under the equipment again.
The knowledge base module 12 is used for storing a plurality of dangerous event cases, and each dangerous event case can show the division condition of the process units and the node devices, the selection of deviation information, the selection condition, the reason and the result information of protective layer data and eliminating or relieving measures aiming at the deviation information and generated evaluation result data to provide analysis reference for users. The evaluation result data are risk occurrence probability level, risk consequence level (degradation) and final risk value respectively generated by three information of determined reasons and consequences and protective layer data selection, elimination or mitigation measures in the deviation analysis process. When the dangerous event case is substituted into the basic information for the current event in the basic data maintenance module 11, the analysis template can be directly referred. For example: if the HALOPA analysis is carried out for the sulfur recovery device, the HALOPA analysis template of the sulfur recovery device built in the knowledge base 12 can be directly quoted after petrochemical equipment as an analysis target is selected, the analysis target equipment is divided into process units such as a Claus furnace reaction unit and a shared engineering unit, further specific risk description and further analysis of occurrence possibility of the high liquid level deviation (dangerous event) substituted in each reaction unit are further realized, and the final analysis quality is ensured. In addition, the knowledge base module 12 also stores a preset protection layer model including a plurality of protection layer data. In particular, the protection layer model comprises various types of sub-protection layers, such as: a sub-protection layer of an independent safety instrument system, a sub-protection layer of a remote control system and the like; further, each type of sub-protection layer includes a plurality of protection layer (specific) data corresponding to the protection layer type, such as: the sub-protective layers of the independent safety instrument system comprise specific protective layer data such as liquid level high-high interlocking, flame-free interlocking for monitoring of a combustion furnace and the like. In the process safety analysis system, if the primary analysis is taken as an example, after the deviation information of the dangerous event is recorded, specific protection layer data which can be adopted for the current deviation needs to be further recorded.
It should be noted that, when the dangerous event that the user needs to predict is similar to the recorded classic case in the knowledge base module 12, the template case therein may be directly utilized to analyze, compare and verify the template case with the current situation, if the user considers that the reason and consequence information in the template or the protection layer grade data can be used, the user does not need to enter the corresponding information, and the reference is directly made; if the user considers that the template is unavailable, the corresponding information is automatically input, and the specific information aiming at individual units or deviation (the data in the original template is still reserved) in the template case is adjusted according to the actual situation of the analysis, so that the operation efficiency and the analysis efficiency of the user are improved. The knowledge base module 12 formed by the classic risk analysis cases is arranged in the system, provides a data basis for reference and comparison of risk analysis, achieves the system targets of scientific and available analysis results, online storage of analysis historical data and intelligent classification, and meanwhile can be completed only by internal personnel of an enterprise without hiring an analysis expert, so that manpower and material resources are greatly saved.
Next, the risk analysis module 13 will be described in detail. And the risk analysis module 13 is used for predicting the risk of the dangerous event of the object equipment to be analyzed, and when the risk prediction condition of the dangerous event is met, the module 13 performs analysis including reasons, consequences, protective layers, measures and implementation on any deviation information based on the basic data of the petrochemical equipment process safety in the basic data maintenance module 11 and the protective layer model in the knowledge base module 12 according to the analysis mode input data to obtain a final risk result, automatically generates historical analysis data and stores the historical analysis data in the analysis result storage database 15. Wherein, the risk analysis module 13 further includes a basic data setting sub-module 131, a first analysis sub-module 132, a second analysis sub-module 133, a third analysis sub-module 134 and a result processing sub-module 135.
FIG. 2 is a functional flow diagram of the risk analysis module 13 in the petrochemical plant process safety risk analysis system 100 according to an embodiment of the present disclosure. Next, referring to fig. 1 again in conjunction with fig. 2, the functions and implementation flows of the modules in the risk analysis module 13 will be described in detail.
The basic data setting sub-module 131 obtains selected petrochemical equipment type information and analysis mode input data for the current dangerous event based on the petrochemical equipment process safety basic data, and starts the first/second/third analysis sub-module according to the analysis mode input data. The analysis method input data is an instruction of an analysis method selected by the user according to the purpose of the user, and the system 100 includes a primary analysis method, a template data analysis method, and a historical data analysis method. Specifically, referring to fig. 2, after jumping from the system background to the process safety risk analysis system 100, the user selects the petrochemical equipment to which the deviation to be analyzed belongs according to the existing petrochemical equipment type in the basic data maintenance module 11, and simultaneously selects the currently required analysis mode. Based on the selected basic data about the current dangerous event, the system 100 reads the data to obtain corresponding petrochemical equipment type information and analysis mode input data, and sends the read result to the first analysis submodule 132, the second analysis submodule 133 or the third analysis submodule 134. It should be noted that, if the analysis mode input data acquired by the platform system 100 is the primary analysis, the first analysis sub-module 132 is started; if the analysis mode input data acquired by the platform system is historical data analysis, starting a second analysis submodule 133; if the analysis mode input data acquired by the platform system is the template data analysis, the third analysis sub-module 134 is started.
In the actual application process, when the user considers that the dangerous event needing predictive analysis is different from the historical analysis records in the analysis result storage database 15 and the analysis conditions of the dangerous event cases in the knowledge base module 12 (the analysis data with similar deviation information in the same petrochemical equipment is not inquired), selecting a primary analysis mode; when the user considers that the dangerous event needing predictive analysis is similar to the dangerous event in the historical analysis record in the analysis result storage database 15, selecting a historical data analysis mode; when the user considers that the dangerous event needing predictive analysis is similar to the dangerous event case in the knowledge base module 12, the template data analysis mode is selected.
Next, the composition and specific analysis process of the first analysis submodule 132, the second analysis submodule 133 and the third analysis submodule 134 will be further described in detail.
The first analysis sub-module 132 receives and reads the petrochemical equipment type information sent by the basic data setting sub-module 131 after being started, obtains the process unit information, the node device information and the deviation information (one to-be-analyzed node device is selected at a time) which are selected and completed and need to be analyzed, identifies the reason and the consequence of the current deviation information, and obtains a first risk event initial risk value, first protection layer grade data and a first final risk value after measures are implemented by using the risk analysis matrix in the basic data maintenance module 11, thereby obtaining a corresponding first deviation analysis result. Wherein the first analysis submodule 132 further comprises: a first deviation information analyzing unit 1321, a first protective layer analyzing unit 1322, and a first implementation measure analyzing unit 1323.
Specifically, the first deviation information analyzing unit 1321, after the user selects the process unit, the node device and the deviation information to be analyzed after referring to the relevant dangerous event case in the knowledge base module 12, acquires the process unit, the node device and the deviation information to be analyzed currently, and retrieves the original risk level and the original risk value for the current deviation information from the basic data maintenance module 11; the user inputs the reason information and the consequence information causing the current deviation information, and the first deviation information analysis unit 1321 identifies this; based on the obtained information, after the user analyzes and inputs the corresponding risk possibility level and risk consequence level, the first deviation information analysis unit 1321 determines the risk possibility level and risk consequence level for the deviation dangerous event, performs preliminary risk analysis on the current situation of the current dangerous event by using the risk analysis matrix, performs two-dimensional coupling judgment on the risk occurrence possibility level and the risk consequence level, and further obtains the corresponding first dangerous event initial risk value in the risk analysis matrix.
Then, a first protective layer analyzing unit 1322, which determines and identifies one or more protective layer data of the current deviation information according to the first dangerous event initial risk value obtained by the first deviation information analyzing unit 1321, and after the user selects the protective layer data that can be adopted for the current deviation information from the protective layer model; based on all the information obtained by the unit 1322, after a user analyzes and inputs the risk possibility level, i.e., the risk degradation level, for each protection layer data and the risk consequence level after implementing all the current protection layers, the first protection layer analysis unit 1322 determines the risk possibility level and the risk consequence level of each protection layer data in the unit; and performing risk degradation analysis after all protective layers are performed on the current dangerous event by using the risk analysis matrix to obtain the first protective layer grade data.
There are several points to be explained below: first, before selecting the protection layer data, the user needs to refer to the risk possibility level, the risk outcome level, and the first risk value generated by the first deviation information analysis unit 1321. Secondly, if the protection layer data has the specific data in the independent safety instrument system class, because each specific data corresponds to one occurrence probability value, the probability value can be directly used as a risk probability grade value for the currently selected protection layer data, and the user does not need to analyze and input the risk probability grade value. Third, in the process of analyzing the data of the protection layer in the dangerous event, the risk result level evaluated by the user may be the risk result level evaluated in the initial analysis of the first deviation information analyzing unit 1321.
Next, the first implementation analysis unit 1323 will be explained. A first implementation measure analysis unit 1323, configured to obtain the first protection layer level data from the first protection layer analysis unit 1322, based on which the user continues to enter the elimination or mitigation measures for the petrochemical equipment that need to be further taken after the current dangerous event has implemented the protection layer data, the first implementation measure analysis unit 1323 determining and identifying the current elimination or mitigation measures; based on all the information obtained by the unit 1323, and after the user analyzes and enters the risk possibility level after implementing the current elimination or mitigation measure, that is, the risk degradation and the risk outcome level, the first implementation measure analyzing unit 1323 further determines the occurrence possibility level (that is, risk degradation) and the risk outcome level for the current elimination or mitigation measure; performing risk degradation analysis after implementation measures on the current deviation information by using the risk analysis matrix, and calculating a first final risk value; all analyzed information obtained from the first deviation information analyzing unit 1321, the first protective layer analyzing unit 1322, and the first implementation measure analyzing unit 1323 is thus aggregated, and a first deviation analysis result for the current deviation is output. Wherein the first deviation analysis result comprises: cause information and outcome information of the deviation, a first risk likelihood level, a first risk outcome level, a first hazard event initial risk value, first protective layer level data, current elimination or mitigation measures, a first final risk value, and the like.
It should be noted that, in the first analysis sub-module 132, the method for the user to determine the risk possibility level and the risk consequence level is only a specific example, the manner of the analysis process is not specifically limited in the present application, the system may also perform quantization processing on the information entered by the user, the processing result may be used as an influence coefficient of the deviation on the safe operation of the petrochemical equipment to which the deviation belongs, and the system further determines the risk possibility level and the risk consequence level corresponding to the influence coefficient.
(one example)
When the process safety analysis is carried out on the dangerous event that the liquid level of the regenerated acid gas liquid separation tank in the acid water discharge tank in the acid gas feed unit in the sulfur recovery equipment is too high. Firstly, selecting the type of the corresponding deviation as liquid level height from the basic data maintenance module 11; inputting the reason information into the condition that the liquid carrying amount of the regenerated acid gas is too large; the consequence information is that the acid gas carries liquid to the combustion furnace, so that the combustion furnace lining collapses, the furnace burns through, the fire nozzle extinguishes when the furnace is serious, and the combustible gas accumulates to cause flash explosion; the user preliminarily judges the risk occurrence probability grade to be 10 according to the dangerous event related case, the original risk grade and the original risk value aiming at the deviation called from the basic data maintenance module 11 -1 And (4) judging the risk consequence grade to be grade D every year, and automatically analyzing by the system according to the risk analysis matrix to obtain an initial risk value D6. Next, according to the protection layer model in the knowledge base module 12, specific protection layer data of liquid level high interlock and combustion furnace monitoring flameless interlock which can be adopted by the sub-protection layers of the independent safety instrument system class aiming at the deviation is selected, the corresponding occurrence probability in the protection layer data of the independent safety instrument system class obtained by the system is used as risk possibility grades, and the degradation (risk possibility grade) is 10 -1 The second and the third year are 10 -1 Next/year, the system further continues to use the risk outcome level (grade D) in the initial analysis during the protective layer analysis stage, and then utilizes the risk analysis matrixAnd judging that the second risk value after the protective layer analysis is D4. Finally, the risk event of the object equipment which has implemented the protection layer data at present is further taken to eliminate or reduce measures aiming at the equipment to suggest to add an interlocking signal (obtained from the basic data maintenance module 11), the user evaluates the risk degradation (risk occurrence possibility grade) of the current measure to be 0 according to the current measure and the second risk value as a reference, and after the risk consequence grade after the corresponding implementation measure is further evaluated, the final risk value of the risk event is judged to be D4 by using a risk analysis matrix. It should be noted that, for the elimination or mitigation, no degradation occurs during the operation of the actual device, but for the convenience of the worker's inspection operation, the value needs to be set to 0.
Referring again to FIG. 1, the detailed description of the second analysis submodule 133 continues. When the second analysis submodule 133 is activated, the module 133 receives and reads the petrochemical equipment type information sent by the basic data setting submodule 131, obtains the selected and completed process units, node devices and deviation information which need to be analyzed, calls historical analysis data corresponding to the current deviation information from the analysis result storage database 15 according to the identified basic analysis information, verifies corresponding reason and consequence information by a user, and records the reason and consequence of the current deviation information, determines and identifies the reason and consequence of the deviation information based on the module 133, namely historical cause and effect verification data, and obtains a second dangerous event initial risk value, second protective layer grade data and a second final risk value after measures are implemented respectively by using a risk analysis matrix, thereby obtaining a corresponding second deviation analysis result.
It should be noted that, before the module 133 obtains the selected node device information, the user needs to verify the node device information. Specifically, the method comprises the following steps: the system 100 retrieves the analyzed node device recorded in the history analysis report for the selected process unit, and the user verifies the node device, and if the history analysis report includes information corresponding to the node device to be analyzed, the node device existing in the report is selected as the analysis target, and further, the node device is determined and identified by the second deviation information analysis unit 1331 in the second analysis submodule 133; if not, an analysis node device is added, and further, the second deviation information analysis means 1331 identifies the new analysis node device. In addition, in the process of verifying the reason and consequence information by the user, if it is determined that the invoked historical analysis information matches the actual reason and consequence, the invoked result is directly used as the reason and consequence of the current deviation information, and is determined and identified by the second deviation information analysis unit 1331 in the second analysis submodule 133; if it is determined that the retrieved historical analysis data does not match the actual cause and consequence, the cause and consequence of the current deviation information matching the actual situation is input and then determined and identified by the second deviation information analysis unit 1331 of the second analysis submodule 133.
Wherein the second analysis submodule 133 further includes: a second deviation information analysis unit 1331, a second protective layer analysis unit 1332, and a second implementation analysis unit 1333. The components of the second analysis module 133 will be described in detail with reference to fig. 2.
Specifically, the second deviation information analysis unit 1331, after the user selects the process unit, the node device and the deviation information to be analyzed with reference to the relevant dangerous event case in the knowledge base module 12, obtains the process unit, the node device and the deviation information to be analyzed currently by the unit 1331, and retrieves the original risk level and the original risk value for the current deviation information from the basic data maintenance module 11; based on all the information including the above historical causal verification data obtained by the unit 1331, and after the user analyzes and inputs the corresponding risk possibility level and risk consequence level, the second deviation information analyzing unit 1331 determines the risk possibility level and risk consequence level for the deviation dangerous event; and then, performing primary risk analysis on the current situation of the current dangerous event by using the risk analysis matrix, performing two-dimensional coupling judgment on the risk occurrence probability level and the risk consequence level, and further obtaining a corresponding second dangerous event initial risk value in the risk analysis matrix.
A second protective layer analyzing unit 1332, which retrieves each protective layer data in the historical analysis data for the current deviation information according to the second dangerous event initial risk value obtained by the second deviation information analyzing unit 1331, and the user selects the protective layer data corresponding to the current deviation information after verification, and the second protective layer analyzing unit 1332 determines the currently selected protective layer data; based on all the information obtained by the unit 1332, and after a user analyzes and inputs the risk possibility level, i.e., the risk degradation level, for each protection layer data and the risk consequence level after implementing all the current protection layers, the second protection layer analysis unit 1332 determines the risk possibility level and the risk consequence level of each protection layer data in the unit; and performing risk degradation analysis after all protective layers are performed on the current dangerous event by using the risk analysis matrix to obtain second protective layer grade data.
There are several points to be explained below: firstly, in the process of verification by the user, if it is determined that each piece of retrieved protection layer data conforms to the actual protection layer data to be selected, the retrieved result is directly used as the protection layer data corresponding to the selected current deviation information, and is determined by the second protection layer analysis unit 1332; if it is determined that any retrieved protection layer data does not conform to the actual situation that needs to be selected, the protection layer data that does not conform to the actual situation is reselected, information that conforms to the actual situation is used as the protection layer data corresponding to the selected current deviation information, and then the protection layer data is determined by the second protection layer analysis unit 1332. Second, the user needs to refer to the risk possibility level, the risk consequence level and the initial risk value of the second dangerous event generated by the second deviation information analysis unit 1331 before selecting the current protection layer data after verification. Thirdly, if the selected protection layer data after verification is provided with the specific data in the independent safety instrument system class, because each specific data corresponds to one occurrence probability value, the probability value can be directly used as a risk probability grade value aiming at the currently selected protection layer data, and the user does not need to analyze and input the risk probability grade value. Fourth, in the process of analyzing the data of the protection layer in the dangerous event, the risk result level evaluated by the user may be the risk result level evaluated in the initial analysis of the second deviation information analysis unit 1331, which is not specifically limited in the present invention, and the user may also evaluate the risk result level in the present unit 1332 by himself.
A second implementation analysis unit 1333, which obtains the second protective layer grade data from the second protective layer analysis unit 1332, based on which the user continues to enter further elimination or mitigation measures for the petrochemical equipment that need to be taken after the protective layer data has been implemented for the current dangerous event, the second implementation analysis unit 1333 determines and identifies the current elimination or mitigation measures; based on all the information obtained by the unit 1333, and after the user analyzes and enters the risk possibility level after implementing the current elimination or mitigation measure, i.e., the risk degradation and the risk outcome level, the second implementation measure analysis unit 1333 further determines the occurrence possibility level (i.e., the risk degradation) and the risk outcome level for the current elimination or mitigation measure; then, risk degradation analysis after implementation measures is carried out on the current deviation information by utilizing a risk analysis matrix, and a second final risk value is calculated; further, all analyzed information obtained from the second deviation information analyzing unit 1331, the second protective layer analyzing unit 1332, and the second implementation analyzing unit 1333 are collected, and a second deviation analysis result for the current deviation is output. Wherein the second deviation analysis result comprises: cause information and consequence information of the deviation, a second risk possibility level, a second risk consequence level, a second dangerous event initial risk value, second protective layer level data, current elimination or mitigation measures, a second final risk value and the like.
It should be noted that, in the second analysis sub-module 133, the method for the user to determine the risk possibility level and the risk consequence level is only a specific example, the manner of the analysis process is not specifically limited in the present application, and the system may also perform quantitative processing on the information entered by the user, and the processing result may be used as an influence coefficient of the deviation on the safe operation of the petrochemical equipment to which the deviation belongs, and further determine the risk possibility level and the risk consequence level corresponding to the influence coefficient.
Next, (refer to fig. 1 and 2) the third analysis submodule 134 will be described in detail. When the third analysis submodule 134 is started, the module 134 receives and reads the petrochemical equipment type information sent by the basic data setting submodule 131, obtains the selected and completed process units, node devices and deviation information which need to be analyzed, calls a dangerous event case corresponding to the current deviation information from the knowledge base module 12 according to the identified basic analysis information, verifies corresponding reason and consequence information by a user, and records the reason and consequence of the current deviation information, determines and identifies the reason and consequence of the deviation information based on the module 134, namely, template cause and effect verification data, and obtains a third dangerous event initial risk value, third protective layer grade data and a third final risk value after measures are implemented respectively by using a risk analysis matrix, thereby obtaining a corresponding third deviation analysis result.
It should be noted that, before the module 133 obtains the selected node device information, the user needs to verify the node device information. Specifically, the method comprises the following steps: the system 100 retrieves the node devices recorded in the dangerous event case for the selected process unit, and the user verifies the node devices, and if the dangerous event case has information corresponding to the node devices to be analyzed, the existing node devices in the case are selected as the analysis target, and further, the node devices are determined and identified by the third deviation information analysis unit 1341 in the third analysis submodule 134; if not, the new analysis node device is added and identified by the third variance information analysis means 1341. In addition, in the process of verifying the reason and consequence information, if it is determined that the called template information conforms to the actual reason and consequence conditions, the called result is directly used as the reason and consequence of the current deviation information, and is determined and identified by the third deviation information analysis unit 1341 in the third analysis sub-module 134; if the called template information is determined not to be in accordance with the actual reason and consequence, the reason and consequence of the current deviation information in accordance with the actual situation are entered, and then determined and identified by the third deviation information analysis unit 1341 in the third analysis submodule 134.
Wherein the third analysis submodule 134 further comprises: a third deviation information analysis unit 1341, a third resist analysis unit 1342, and a third implementation measure analysis unit 1343. The components of the third analysis submodule 134 are described in detail below with reference to fig. 2.
Specifically, the third deviation information analysis unit 1341, after the user selects the process unit, the node device and the deviation information that need to be analyzed after referring to the relevant dangerous event case in the knowledge base module 12, obtains the process unit, the node device and the deviation information that need to be analyzed currently by the unit 1341, and retrieves the original risk level and the original risk value for the current deviation information from the basic data maintenance module 11; based on all the information including the template causal verification data obtained by the unit 1341, and after the user analyzes and enters the corresponding risk possibility level and risk consequence level, the third deviation information analysis unit 1341 determines the risk possibility level and risk consequence level for the deviation risk event; and then, performing primary risk analysis on the current situation of the current dangerous event by using the risk analysis matrix, performing two-dimensional coupling judgment on the risk occurrence probability grade and the risk consequence grade, and further obtaining a corresponding third dangerous event initial risk value in the risk analysis matrix.
A third protective layer analysis unit 1342, which retrieves each protective layer data in the dangerous event case corresponding to the current deviation information according to the third dangerous event initial risk value obtained by the third deviation information analysis unit 1341, and the user selects the protective layer data corresponding to the current deviation information after verification, and the third protective layer analysis unit 1342 determines the currently selected protective layer data; based on all the information obtained by the unit 1342, after a user analyzes and inputs the risk possibility level, namely the risk degradation level, for each protective layer data and the risk consequence level after implementing all the protective layers currently, the third protective layer analyzing unit 1342 determines the risk possibility level and the risk consequence level of each protective layer data in the unit; and performing risk degradation analysis after all protective layers are performed on the current dangerous event by using the risk analysis matrix to obtain third protective layer grade data.
There are several points to be explained below: firstly, in the process of verification by a user, if it is determined that each piece of retrieved protection layer data conforms to the actual protection layer data to be selected, the retrieved result is directly used as the protection layer data corresponding to the selected current deviation information and is determined by the third protection layer analysis unit 1342; if it is determined that any retrieved protection layer data does not conform to the actual protection layer data to be selected, the protection layer data that does not conform to the actual situation is reselected, and the information that conforms to the actual situation is used as the protection layer data corresponding to the selected current deviation information, and then determined by the third protection layer analysis unit 1342. Second, the user needs to refer to the risk possibility level, the risk consequence level and the initial risk value of the second dangerous event generated by the third deviation information analysis unit 1341 before selecting the current protective layer data after verification. Thirdly, if the selected protection layer data after verification is provided with the specific data in the independent safety instrument system class, because each specific data corresponds to one occurrence probability value, the probability value can be directly used as a risk probability grade value aiming at the currently selected protection layer data, and the user does not need to analyze and input the risk probability grade value. Fourth, in the process of analyzing the data of the protection layer in the dangerous event, the risk result level evaluated by the user may be the risk result level evaluated in the initial analysis of the third deviation information analysis unit 1341, which is not specifically limited in the present invention, and the user may also evaluate the risk result level in the present unit 1342 by himself or herself.
A third implementation measure analysis unit 1343, which obtains the third protection layer grade data from the third protection layer analysis unit 1342, based on which, the user continues to enter the elimination or mitigation measures for the petrochemical equipment that need to be further taken after the protection layer data is implemented on the current dangerous event, and the current elimination or mitigation measures are determined and identified by the third implementation measure analysis unit 1343; based on all the information obtained by the unit 1343, and after the user analyzes and enters the risk possibility level after implementing the current elimination or mitigation measure, i.e., the risk degradation and the risk outcome level, the second implementation measure analysis unit 1333 further determines the occurrence possibility level (i.e., the risk degradation) and the risk outcome level for the current elimination or mitigation measure; then, risk degradation analysis after implementation measures are carried out on the current deviation information by using a risk analysis matrix, and a third final risk value is calculated; further, all analyzed information obtained from the third deviation information analysis unit 1341, the third protective layer analysis unit 1342, and the third implementation measure analysis unit 1343 are summarized, and a third deviation analysis result for the current deviation is output. Wherein the third deviation analysis result comprises: cause information and consequence information of the deviation, a third risk possibility level, a third risk consequence level, a third dangerous event initial risk value, third protective layer level data, current elimination or mitigation measures, a third final risk value and the like.
It should be noted that, in the third analysis sub-module 134, the method for the user to determine the risk possibility level and the risk consequence level is only a specific example, the manner of the analysis process is not specifically limited in the present application, the system may also perform quantitative processing on the information entered by the user, the processing result may be used as an influence coefficient of the deviation on the safe operation of the petrochemical equipment to which the deviation belongs, and the system further determines the risk possibility level and the risk consequence level corresponding to the influence coefficient.
The risk analysis module 13 is described in several points below: the final risk result generated by the risk analysis module 13 is a result of a plurality of deviations to be analyzed for the object to be analyzed (selected petrochemical equipment) of the current analysis, when a user needs to perform a second round of HAPOLA analysis on a deviation in another process unit or node device in the equipment after completing the first round of HAPOLA deviation analysis in the petrochemical equipment, an analysis mode can be reselected after completing the first round of deviation analysis (the analysis mode selected each time can be different), and the second round of analysis is continued until all deviations to be analyzed in the same equipment are completed, so that the current risk analysis process is completed; the first 132/second 133/third 134 analysis sub-module may perform a round of analysis while performing one or more deviations analysis on the same node device, or may re-acquire analysis mode input data after performing a round of risk analysis and storing the result, and continue to analyze other deviations(s) of the same node device, or one or more deviations of other node devices of the same process unit, or one or more deviations of other process units, to start a second round of deviation analysis, each round of analysis capable of generating one or more deviation analysis results corresponding to the deviations to be analyzed, and after one or more rounds of analysis, if there is no need to continue the analysis, and finishing the analysis, and finally summarizing all deviation analysis results generated in the analysis process to obtain a corresponding final risk result.
Finally, referring again to fig. 1 and 2, the result processing sub-module 135 in the risk analysis module 13 will be described. The module 135, which audits the final risk results, automatically generates historical analysis data after the audit is passed, and stores the data in the form of a report in the analysis result storage database 15 of the system 100, and simultaneously generating stored information corresponding to the report and including a historical analysis record, wherein the report format uniformly shows the reason and consequence information of the deviation, each protection layer data selected aiming at the deviation, the current elimination or mitigation measure, the risk possibility grade and risk consequence grade generated in the (initial analysis/protection layer data analysis/implementation measure analysis) process, the data generated in the analysis process of the dangerous event (first/second/third) initial risk value, the (first/second/third) protection layer grade data, the (first/second/third) final risk value and the like. In addition, after the final risk result is audited, if the final risk result does not pass the audit, the basic data setting sub-module 131 is entered, and the analysis mode input data is obtained again, that is, the petrochemical equipment is analyzed again.
In addition, the process safety risk analysis system 100 further includes an analysis result storage database 15, which can retrieve the stored historical analysis records for different petrochemical devices and the historical analysis data (report) showing the final risk result of the dangerous event according to the received consulting range information, and check and track the problem rectification condition of each petrochemical device after analysis in real time.
In this example, the historical analysis data is stored and displayed in the form of a report, but this is merely a specific example, and the form of storing and displaying the data is not particularly limited in the present application.
Referring again to fig. 2, in the actual analysis process of the risk analysis module 13, after the system 100 is started, according to the existing petrochemical equipment type information in the basic data maintenance module 11, the user selects an object to be analyzed (petrochemical equipment) and simultaneously selects an analysis mode, so as to enter different analysis processes.
The first process comprises the following steps: when a user selects a primary analysis mode, a process unit is selected first, a node device to be analyzed is further selected or newly added, then a risk deviation to be analyzed in the node device is selected, the system 100 identifies the reason and the consequence of the deviation input by the user, analyzes first protection layer grade data corresponding to the current risk deviation, and determines possible elimination or slowing measures; while utilizing information such as the first protective layer level data, the elimination or mitigation measures for the current risk deviation, the system 100 may calculate a first final risk value for the risk deviation. Repeating the process, analyzing all risk deviations needing to be analyzed in the petrochemical equipment one by the platform, summarizing to obtain a final risk result, and finishing the analysis. After the final risk result is generated, the system automatically submits the analysis result to an auditor for auditing, and if the analysis result passes the audit, a report is generated; and returning the audit opinions automatically without passing through the system, and enabling the evaluators to enter the link of selecting an analysis mode again. When the risk analysis module 13 needs to perform initial analysis on a newly added node device, basic data for the node device needs to be configured in the basic data maintenance module 11.
(one example) in analyzing the deviation of the excessive pressure in the sulfur recovery apparatus, it is possible to determine the risk probability of 10 according to the reason of the control valve shut-down -3 The pressure of generated bubbles rises, the consequence of equipment damage in severe cases is judged, the risk consequence of personnel injury, social influence, environmental influence and financial influence is judged, the grade is C, and the system can automatically judge the risk consequence of personnel injury, social influence, environmental influence and financial influenceCalculating to obtain an initial risk value C5; according to the data of the protection layer in the system knowledge base and the actual protection measures of the analysis equipment, two independent protection layers are selected for reference, the system is automatically brought into and recalculated, the final risk value is C2, and the final risk value is automatically stored as an online report and stored in a database in the system to analyze and accumulate data for big data.
And a second process: when a user selects a historical data analysis mode, a process unit for predictive risk analysis needs to be selected first, and after the user verifies a node device, the system 100 determines information of the selected node device; selecting a risk deviation needing to be analyzed in the node device, comparing and verifying the current reason and consequence causing the deviation with corresponding contents in a historical analysis report according to the historical analysis report aiming at the deviation, and determining and identifying the reason and the result causing the deviation by the system 100; the user verifies each protective layer grade data in the historical analysis report, and based on the verification, continues to determine and identify current abatement or mitigation measures by the system 100; meanwhile, the system 100 comprehensively summarizes the information such as the reason and the consequence information of the current risk deviation, the second protective layer grade data, the current elimination or mitigation measures and the like, and calculates to obtain a second final risk value. Repeating the process, analyzing all risk deviations needing to be analyzed in the petrochemical equipment one by the platform, summarizing to obtain a final risk result, and finishing the analysis. After the final risk result is generated, the system automatically submits the analysis result to an auditor for auditing, and if the analysis result passes the auditing, a report is generated; and returning the audit opinions automatically without passing through the system, and enabling the evaluators to enter the link of selecting an analysis mode again. It should be noted that, when the risk analysis module 13 selects the historical data analysis mode and needs to analyze the deviation of a newly added node device, a user is required to enter corresponding cause and consequence information, protection layer data, elimination or mitigation measures, and the like in subsequent steps.
And a third process: when the user selects the template data analysis mode, the process unit for risk analysis needs to be predicted first, and after the user verifies the node device, the system 100 determines the selected node device information; selecting a risk deviation needing to be analyzed in the node device (user), comparing and verifying the current reason and the result causing the deviation with the corresponding contents in the selected case based on the dangerous event case aiming at the deviation, and determining the reason and the result causing the deviation by the system 100 and identifying the reason and the result; the user verifies each protective layer level data in the retrieved hazardous event case, and based on the verification results, the system 100 further determines and identifies the current abatement or mitigation action; meanwhile, the system 100 comprehensively summarizes the information such as the reason and the consequence information of the current risk deviation, the third protective layer grade data, the current slowing/eliminating measures and the like, and calculates to obtain a third final risk value. Repeating the process, analyzing all risk deviations needing to be analyzed in the petrochemical equipment one by the platform, summarizing to obtain a result, and finishing the analysis. After the final risk result is generated, the system automatically submits the analysis result to an auditor for auditing, and if the analysis result passes the audit, a report is generated; and returning the audit opinions without the system, and enabling the evaluators to enter the link of selecting an analysis mode again. It should be noted that, when the risk analysis module 13 selects a template data analysis mode and needs to analyze the deviation of a newly added node device, a user is required to enter corresponding cause and consequence information, protection layer data, elimination or mitigation measures, and the like in subsequent steps.
Referring again to fig. 3, after completing the description of the process safety risk analysis system 100, the risk management module 34 in the process safety risk management system 300 is further described in detail.
And the risk management module 34 is interconnected with the risk analysis module 13 in the petrochemical equipment process safety risk analysis system 100, receives all generated final risk results in real time, classifies, counts and displays the final risk results, and achieves dynamic management of device risks. Specifically, the module 34 receives the final risk result of the petrochemical equipment to be analyzed in different petrochemical equipment in real time, which is sent by the risk analysis module 13, counts and classifies the influence degree of the safe operation of the petrochemical equipment according to the deviation, counts the severe deviation of each influence degree higher than a preset safety level threshold (the parameter is not specifically limited by the application), and displays the protective layer level data in the severe deviation, the elimination or mitigation measures, the change of the risk value before and after rectification, and other historical analysis data; and further carrying out real-time accumulation display according to preset risk assessment grade risk distribution conditions, and carrying out classification display on the accumulated and counted historical analysis data according to four management sub-modules including a personnel injury sub-module, a social influence sub-module, an environmental influence sub-module and a financial influence sub-module, so that the aim of helping enterprise users carry out dynamic process risk management and control is achieved. In this example, the preset risk assessment levels are divided into four risk levels, i.e., a general risk level, a medium risk level, a large risk level, and a major risk level. And each type of historical analysis data can be quantitatively represented by different risk levels, each level has different weight proportions for four management sub-modules, data extraction can be performed according to the dangerous event with the highest risk level under the deviation, the data are used as representative historical analysis data in the final risk result, and evaluation analysis is performed from four aspects of personnel injury, social influence, environmental influence and financial influence. In addition, the module 34 can compare the maximum risk values (final risk values) of different petrochemical devices according to the received risk management query data including the petrochemical device type. And similarly, aiming at the analyzed problems of each petrochemical device, controlling through the node devices in the process unit flow, and recording the contents of the rectification (implementation measures) contents, rectification persons, approval opinions, approval results and the like of each node device.
The problem of double standards of HAZOP and LOPA analysis is solved, a unified risk analysis model is established by the system, two analysis technologies are completed within one analysis time, the uniformity of the analysis standards can be guaranteed, and the analysis result is not influenced by the change of an analysis chairman; meanwhile, a risk management module is added for analyzing and checking the risk of the petrochemical equipment, and the risk change condition of each petrochemical equipment after the adjustment and modification measures are carried out can be counted and tracked in real time, so that the dynamic management of the petrochemical equipment is realized. The invention improves the integrity of the process safety risk analysis and the work efficiency of the analysis object; the risk dynamic real-time display and rectification tracking of the analysis object are realized, the self-checking, self-correction and transverse comparison are facilitated, the risk potential is reduced, and the production loss is reduced; the method is more favorable for establishing a risk database of domestic maximum process management and equipment integrity.
The above description is only a preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claims.
Claims (6)
1. A petrochemical plant process safety risk management system, the system comprising: petrochemical equipment process safety risk analysis system and with the risk management module of the interconnection of risk analysis module among the petrochemical equipment process safety risk analysis system, the risk management module is used for receiving all final risk results that have generated in real time to classify, count and show this result, realize the dynamic management of device risk, petrochemical equipment process safety risk analysis system includes:
basic data maintenance module: which maintains basic data related to process safety of petrochemical equipment and stores evaluation tools for risk analysis, the basic data including at least: the system comprises a basic data maintenance module, a knowledge base module and a data analysis module, wherein the basic data maintenance module is used for setting an original risk level and an original risk value for each deviation information according to a dangerous event case and a protective layer model in the knowledge base module based on the maintained process unit information of the petrochemical equipment;
a knowledge base module: the method comprises the steps that a preset protection layer model comprising a plurality of protection layer data is stored, a plurality of dangerous event cases are stored, and each dangerous event case comprises the division conditions of a process unit and a node device in the risk analysis process, the selection of deviation information, the selection conditions of protection layer failure data and elimination or slowing measures aiming at the deviation information, and generated evaluation result data;
a risk analysis module: the risk analysis module is used for predicting the risk of a dangerous event for object equipment to be analyzed, and when a dangerous event risk prediction condition is met, based on basic data of the object equipment and protective layer failure data contained in a current dangerous event, analyzing one or more deviation information including reasons, consequences, protective layers and implementation measures according to the type of input data of an analysis mode to obtain a final risk result, wherein the risk analysis module comprises:
a basic data setting sub-module for acquiring the selected petrochemical equipment type information for the current dangerous event and the type of the analysis mode input data based on the basic data of the object equipment, wherein the analysis mode input data is an instruction of an analysis mode selected by a user according to the purpose of the user;
a first analysis submodule, which is started when the type of the analysis mode input data is primary analysis, receives and reads the petrochemical equipment type information sent by the basic data setting submodule, acquires selected process units, node devices and deviation information which need to be analyzed, identifies the reason and the consequence of the current deviation information, and respectively obtains a first dangerous event initial risk value, first protective layer grade data and a first final risk value generated by risk degradation analysis after protective layer implementation and implementation measures are carried out on the current dangerous event by using a risk analysis matrix as the evaluation tool, thereby obtaining a corresponding first deviation analysis result;
a second analysis submodule, which is started when the type of the analysis mode input data is historical data analysis, receives and reads the petrochemical equipment type information sent by the basic data setting submodule, acquires the selected process units, node devices and deviation information which need to be analyzed, calls historical analysis data corresponding to the current deviation information, determines the reason and the consequence of the current deviation information based on the historical analysis data, combines each protective layer failure data in the historical analysis data corresponding to the current deviation, and respectively obtains a second dangerous event initial risk value by using the risk analysis matrix, the second protective layer grade data and a second final risk value are generated by performing protective layer implementation and risk degradation analysis after measures are implemented on the current dangerous event, and therefore a corresponding second deviation analysis result is obtained;
a third analysis submodule, which is started when the type of the analysis mode input data is template data analysis, receives and reads the petrochemical equipment type information sent by the basic data setting submodule, acquires the selected process units, node devices and deviation information which need to be analyzed, calls the dangerous event case corresponding to the current deviation information, determines the reason and the consequence of the current deviation information based on the dangerous event information, combines each protective layer failure data in the dangerous event case corresponding to the current deviation, and respectively obtains a third dangerous event initial risk value by using the risk analysis matrix, and the third protective layer grade data and a third final risk value are generated by performing protective layer implementation and risk degradation analysis after measures are implemented on the current dangerous event, so that a corresponding third deviation analysis result is obtained.
2. The petrochemical plant process safety risk management system of claim 1, wherein the first analysis submodule further comprises:
a first deviation information analysis unit, configured to obtain the process unit, the node device, and the deviation information that need to be analyzed currently, retrieve an original risk level and an original risk value for the current deviation information from the basic data maintenance module, identify cause information and consequence information for the current deviation information, and perform preliminary risk analysis on the current situation of the current dangerous event by using the risk analysis matrix based on the reason information and the consequence information to obtain an initial risk value of the first dangerous event;
a first protective layer analysis unit, configured to determine one or more protective layer data corresponding to the current deviation information according to the initial risk value of the first dangerous event, and perform risk degradation analysis after a protective layer is performed on the current dangerous event by using the risk analysis matrix to obtain first protective layer grade data;
and the first implementation measure analysis unit is used for determining the current elimination or mitigation measure according to the first protection layer grade data, performing risk degradation analysis after implementation measures on the current dangerous event by using the risk analysis matrix, and calculating the first final risk value.
3. The petrochemical plant process safety risk management system of claim 1, wherein the second analysis submodule further comprises:
a second deviation information analysis unit, configured to obtain the process unit, the node device, and the deviation information that need to be analyzed currently, retrieve an original risk level and an original risk value for the current deviation information from the basic data maintenance module, and perform preliminary risk analysis on the current situation of the current dangerous event by using the risk analysis matrix according to the determined reason and consequence of the current deviation information, so as to obtain an initial risk value of the second dangerous event;
a second protective layer analysis unit, configured to retrieve each protective layer data in the historical analysis data for the current deviation information according to the second dangerous event initial risk value, determine one or more protective layer data corresponding to the current deviation information, and perform risk degradation analysis after protective layer implementation on the current dangerous event by using the risk analysis matrix to obtain second protective layer grade data;
and the second implementation measure analysis unit is used for determining the current elimination or mitigation measure according to the second protective layer grade data, performing risk degradation analysis after implementation measures on the current dangerous event by using the risk analysis matrix, and calculating the second final risk value.
4. The petrochemical plant process safety risk management system of claim 1, wherein the third analysis submodule further comprises:
a third deviation information analysis unit, configured to obtain the process unit, the node device, and the deviation information that need to be analyzed currently, retrieve an original risk level and an original risk value for the current deviation information from the basic data maintenance module, and perform preliminary risk analysis on the current situation of the current dangerous event by using the risk analysis matrix according to the determined reason and consequence of the current deviation information, so as to obtain an initial risk value of the third dangerous event;
a third protective layer analysis unit, configured to retrieve each protective layer data in the dangerous event case for the current deviation information according to the third dangerous event initial risk value, determine one or more protective layer data corresponding to the current deviation information, and perform risk degradation analysis after a protective layer is performed on the current dangerous event by using the risk analysis matrix to obtain third protective layer grade data;
and the third implementation measure analysis unit is used for determining the current elimination or mitigation measure according to the third protective layer grade data, performing risk degradation analysis after implementation measures on the current dangerous event by using the risk analysis matrix, and calculating a third final risk value.
5. The petrochemical plant process safety risk management system of claim 1, further comprising,
and the analysis result storage database is used for storing the historical analysis data and can call the stored historical analysis records aiming at different petrochemical equipment and the historical analysis data for displaying the final risk result of the dangerous event according to the received consulting range information.
6. The petrochemical equipment process safety risk management system of claim 1, wherein the risk management module further cumulatively displays the final risk result of each petrochemical equipment according to a preset risk assessment level, further counts the protective layer level data of each deviation information in different petrochemical equipment, eliminates or slows down measures, and changes of risk values before and after rectification, and displays the statistical result in a classified manner according to personal injury, social influence, environmental influence and financial influence.
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| CN112784988A (en) * | 2019-11-07 | 2021-05-11 | 中国石油化工股份有限公司 | Method and device for constructing change risk assessment knowledge base |
| CN113723725A (en) * | 2020-05-25 | 2021-11-30 | 中国石油化工股份有限公司 | Risk early warning method and device for operation process of chemical device and terminal equipment |
| CN112686570A (en) * | 2021-01-11 | 2021-04-20 | 国家电投集团内蒙古能源有限公司 | Intelligent security risk management and control system |
| CN112884285A (en) * | 2021-01-21 | 2021-06-01 | 北京联合普肯工程技术股份有限公司 | Danger and operability analysis method, device, equipment and storage medium |
| CN113269404A (en) * | 2021-04-29 | 2021-08-17 | 机械工业仪器仪表综合技术经济研究所 | Process industry intelligent safety management system based on industrial network |
| CN113836670A (en) * | 2021-06-30 | 2021-12-24 | 天津大学 | Computer-aided chemical process safety analysis method based on first principle modeling |
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Effective date of registration: 20230109 Address after: Yanan City, Shandong province Qingdao City three road 266071 No. 218 Patentee after: CHINA PETROLEUM & CHEMICAL Corp. Patentee after: Sinopec Safety Engineering Research Institute Co.,Ltd. Patentee after: Sinopec National Petrochemical Project Risk Assessment Technology Center Co.,Ltd. Address before: Yanan City, Shandong province Qingdao City three road 266071 No. 218 Patentee before: CHINA PETROLEUM & CHEMICAL Corp. Patentee before: SINOPEC Research Institute OF SAFETY ENGINEERING |
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