CN110390454B - Petrochemical device leakage risk analysis and management system - Google Patents
Petrochemical device leakage risk analysis and management system Download PDFInfo
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- CN110390454B CN110390454B CN201810351848.7A CN201810351848A CN110390454B CN 110390454 B CN110390454 B CN 110390454B CN 201810351848 A CN201810351848 A CN 201810351848A CN 110390454 B CN110390454 B CN 110390454B
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Abstract
The invention discloses a petrochemical device leakage risk analysis and management system, which comprises: the leakage parameter acquisition module is used for determining basic equipment operation information aiming at leakage equipment and basic leakage information containing leakage types in the petrochemical equipment to be analyzed and establishing comprehensive leakage parameters; the leakage influence parameter correction module is used for determining an equipment sensitivity correction factor by utilizing an equipment leakage severity design formula corresponding to the leakage type according to the comprehensive leakage parameter and determining a detection effectiveness correction factor by combining equipment detection effectiveness information; and the data processing module is used for obtaining a reference leakage frequency and a corrected leakage frequency by utilizing a leakage risk calculation model corresponding to the leakage type based on the comprehensive leakage parameter, the equipment sensitivity correction factor and the detection effectiveness correction factor. The invention provides a risk dynamic management platform, which effectively avoids safety accidents and potential economic loss, improves the safety of enterprises and provides database support for potential safety hazard evaluation and correction of the enterprises.
Description
Technical Field
The invention relates to the field of petrochemical industry, in particular to a petrochemical device leakage risk analysis and management system.
Background
Leakage is always an important cause of risks in the production process of a petrochemical device and an important link of process safety management control, the technology of the invention related to leakage source detection and leakage monitoring is mature and wide, but most researches on the field of leakage risks are qualitative simulation of influence range, but quantitative risk analysis is less, and the defects are as follows: 1. the severity of the equipment leakage consequence cannot be quantified, and the leakage risk of the petrochemical device cannot be accurately evaluated; 2. the real-time consideration cannot be carried out by combining the conditions of the equipment, only partial conditions of the equipment are considered at present, and all conditions cannot be considered; 3. the equipment leakage consequence cannot be effectively corrected by combining the field management level; 4. the current monitoring and control can only realize the safety target of slowing down the leakage consequence and cannot realize the prevention and control of the leakage risk of the petrochemical device and the dynamic management of the system.
Disclosure of Invention
In order to solve the above technical problems, the present invention provides a petrochemical plant leakage risk analysis system, including: the leakage parameter acquisition module is used for determining basic equipment operation information aiming at leakage equipment and basic leakage information containing leakage types in the petrochemical equipment to be analyzed and establishing comprehensive leakage parameters; the leakage influence parameter correction module is used for determining an equipment sensitivity correction factor by utilizing an equipment leakage severity design formula corresponding to the leakage type according to the comprehensive leakage parameter, acquiring equipment detection effectiveness information and determining a detection effectiveness correction factor; and the data processing module is used for obtaining a reference leakage frequency and a corrected leakage frequency aiming at the leakage type by utilizing a leakage risk calculation model corresponding to the current leakage type based on the comprehensive leakage parameter, the equipment sensitivity correction factor and the detection effectiveness correction factor.
Preferably, the data processing module further comprises: an equipment reference leakage analyzing unit for calculating the reference leakage frequency of each leakage type by using the leakage risk calculation model corresponding to the current leakage type according to the comprehensive leakage parameter; a device corrected leakage analysis unit that couples the reference leakage frequency with the device sensitivity correction factor and the detection validity correction factor to further obtain the corrected leakage frequency for each of the leakage types.
Preferably, the system further comprises: and the result analysis module is used for respectively scoring the reference leakage frequency and the corrected leakage frequency by utilizing a preset reference/correction grade standard model respectively aiming at the reference leakage frequency and the corrected leakage frequency to obtain leakage score information comprising a reference leakage evaluation score and a corrected leakage evaluation score, and finally generating and storing a leakage analysis result at least comprising the leakage score information and leakage equipment type information in the equipment operation basic information.
Preferably, the leakage influencing parameter modification module further comprises: the device correction factor determining unit is used for respectively carrying out quantization processing on the acquired daily device management information and the comprehensive leakage parameters of the leakage device, calling a corresponding device leakage severity design formula by using the current leakage type, and calculating a device sensitivity correction factor for each leakage type; and the detection correction factor determining unit is used for acquiring the detection effectiveness information of the equipment and respectively carrying out quantization and grading processing on the detection effectiveness information to obtain corresponding detection effectiveness correction factors.
Preferably, the leakage type corresponding to each leakage device comprises one or more of the following types: thinning leakage, stress corrosion leakage, and mechanical fatigue leakage.
Preferably, the leakage parameter collecting module further comprises: an apparatus information acquisition unit that acquires and identifies the apparatus operation basic information including the leakage apparatus type information, leakage apparatus integrity information, and leakage apparatus operation medium information; and the leakage basic information acquisition unit acquires and identifies the leakage basic information comprising leakage type information, leakage time length information and leakage aperture information, integrates the equipment operation basic information and generates the comprehensive leakage parameter.
Preferably, the device detecting validity information includes: detection period, overhaul period, detection times, detection method, detection effect and detection personnel.
In another aspect, a petrochemical plant leakage risk management system is provided, the system comprising: the petrochemical device leakage risk analysis system; a leakage analysis result management module: the system is interconnected with a result analysis module in the petrochemical device leakage risk analysis system, receives all generated leakage analysis results in real time, classifies, counts and displays the results, and achieves dynamic management of the petrochemical device leakage risk.
Preferably, the leakage analysis result management module further performs real-time cumulative statistics on all the leakage score information in each petrochemical device according to the type of the petrochemical device, displays the leakage score information with a score within a preset severity threshold range and the corresponding leakage equipment operation basic information, and respectively displays the final statistical results dynamically updated for different petrochemical devices.
Preferably, the system further comprises: and the statistical result display database is used for receiving and storing the final statistical result sent by the leakage analysis result management module in real time, and further, the statistical result display database is used for carrying out data interaction with the statistical result display database among different enterprises through the Internet.
Compared with the prior art, one or more embodiments in the above scheme can have the following advantages or beneficial effects:
the invention provides a leakage risk analysis system for the severe equipment leakage consequence, which realizes quantitative analysis of leakage risks and dynamic risk management of equipment operation, provides a dynamic management platform for enterprise leakage risks, improves the safety level, avoids safety accidents and potential economic loss, helps the safety status of enterprises and safety supervision departments to evaluate and supervise, and provides database support for the future potential safety hazard rectification of enterprises.
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 device leakage risk analysis system 100 according to an embodiment of the present disclosure.
Fig. 2 is a flowchart illustrating an example of a detailed analysis of the petrochemical device leakage risk analysis system 100 according to an embodiment of the present disclosure.
FIG. 3 is a schematic structural diagram of a petrochemical leakage 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 leakage risk analysis and management system for a petrochemical device. The analysis system collects data related to equipment from four aspects of technology, process, machinery, equipment conditions and the like of a leakage device, wherein the data comprises operation parameters, inspection effectiveness parameters, equipment integrity parameters and the like, and the leakage device management level of an enterprise is considered, and quantitative analysis and evaluation are carried out on the leakage condition of the leakage equipment in the leakage device by utilizing a leakage risk reference calculation model and a leakage risk correction calculation model which are classified according to a leakage mechanism, and the evaluation result is subjected to scoring operation; and further carrying out real-time accumulation statistics on the influence of all leakage conditions in the same leakage device on the petrochemical device, and displaying main leakage risk information in different device areas so as to realize transverse comparison analysis among different enterprises.
Generally, in the field of petrochemical industry, a petrochemical plant (a leakage apparatus) refers to a complete plant used in a petroleum refining or chemical product production process, each petrochemical plant needs to complete a series of process flows, each process flow is completed by a process unit, and each process unit is composed of various node devices (wherein, a node device having a leakage point is a leakage device). The sulfur recovery device mainly comprises an acid gas feeding unit, a Claus furnace unit, a tail gas absorption tower, a regeneration tower unit, a common engineering unit and other process units. The acid gas feeding unit (process unit) is taken as an example and mainly comprises leakage equipment such as an acid gas liquid separating tank, an acid water discharging tank, a connecting pipeline and the like. When the risk evaluation of the leakage condition of the leakage of the connecting pipeline (leakage equipment) in the acid gas feeding process unit is needed, the evaluation analysis is carried out by utilizing one or more leakage types corresponding to the leakage equipment.
The application provides a petrochemical device leakage risk management system which can evaluate and predict leakage risks in real time. FIG. 3 is a schematic structural diagram of a petrochemical leakage risk management system 300 according to an embodiment of the present disclosure. As shown in fig. 3, the management system includes a petrochemical device leakage risk analysis system 100, a leakage analysis result management module 35, and a statistical result presentation database 36. The petrochemical device leakage risk analysis system 100 sends the output leakage analysis result to the leakage analysis result management module 35, the leakage analysis result management module 35 performs cumulative statistics and displays main leakage risk information of different petrochemical device areas, and sends the generated display result to the statistical result display database 36 for storage, so as to provide big data support for searching and analyzing inside enterprises and among different enterprises. The following is a detailed description of the various components of the petrochemical leakage risk management system.
FIG. 1 is a block diagram of a petrochemical device leakage risk analysis system 100 according to an embodiment of the present disclosure. As shown in fig. 1, the system 100 includes a leakage parameter collecting module 11, a leakage influence parameter correcting module 12, a data processing module 13, and a result analyzing module 14. According to the working logic relationship of the petrochemical device leakage risk analysis system 100, data acquisition is respectively carried out on the parameters such as technology, process, machinery, validity check, daily management and equipment operation by a leakage parameter acquisition module 11 and a leakage influence parameter correction module 12, information acquired by the leakage parameter acquisition module 11 and the leakage influence parameter correction module 12 is used as a data base by a data processing module 13, a leakage severity calculation model is established by two degrees of equipment basic operation state and reference equipment daily management, leakage severity is quantitatively analyzed, the analysis result is scored by a result analysis module 14 to output score information for the analysis, and then the score information is sent to a leakage analysis result management module 35 to carry out real-time dynamic display on the analysis results of different device areas.
Fig. 2 is a flowchart illustrating an example of a detailed analysis of the petrochemical device leakage risk analysis system 100 according to an embodiment of the present disclosure. Referring to fig. 1, the functions and components of the modules of the petrochemical device leakage risk analysis system 100 will be described in detail with reference to fig. 2.
And the leakage parameter acquisition module 11 is used for determining equipment operation basic information (including operation media, operation parameters, equipment conditions and the like) aiming at leakage equipment in the petrochemical equipment to be analyzed and leakage basic information containing leakage types, and establishing comprehensive leakage parameters. Specifically, the acquisition module 11 further includes an apparatus information acquisition unit 111 and a leakage basic information acquisition unit 112. Wherein, the device information obtaining unit 111 obtains and identifies the device operation basic information including the leakage device type information, the leakage device integrity information, and the leakage device operation medium information; a leakage basic information acquiring unit 112 that acquires and identifies leakage basic information including leakage type information, leakage time length information, and leakage aperture information of a leaking device, integrates the above-described device operation basic information, and generates a comprehensive leakage parameter.
Specifically, (refer to fig. 2), first, a user sequentially enters petrochemical device information (including a petrochemical device name and the like) including leakage equipment to be analyzed, process unit information (including a process unit name and the like) including the leakage equipment, and leakage equipment type information (including a leakage equipment type and the like, such as a valve type and a connecting pipeline type) including the leakage equipment information, the equipment information obtaining unit 111 obtains and identifies the information, based on which, the user further enters a leakage type corresponding to the leakage equipment in the petrochemical device, and the leakage type is determined and identified by the leakage basic information obtaining unit 112. It should be noted that the leakage type (including the information of the leakage type and the leakage position) corresponding to each leakage device at least includes one or more of the types of thinning leakage, stress corrosion leakage, mechanical fatigue leakage, etc., and a user can select the type included in the leakage device that needs to be subjected to the leakage analysis at present according to the actual situation, and the system 100 can simultaneously complete the analysis of multiple leakage types for the same leakage device and output the leakage analysis results of different leakage types respectively. Then, when the system 100 confirms the current leakage type, the user continues to enter the integrity information (equipment condition) of the leakage equipment, including the number of the types of the leakage equipment (for example, the number of the leakage equipment at the valve joint) and the size of the equipment type equipment; each leakage type includes leakage basic information such as leakage pore size information (pore size at the position where leakage occurs, in the practical application, the leakage pore size information is expressed in the form of pore size range, for example, the range of small pore is 0-10mm, the range of medium pore is 10-50mm, the range of large pore is 50-150mm, and the range of rupture pore is >150mm, and the form of leakage pore size information is not specifically limited in the present application) and leakage time length information (time from leakage at the leakage point to leakage termination); equipment operating information (e.g., operating pressure); and leakage equipment operation medium information including the current gas-liquid phase ratio of the leakage equipment and the operation temperature of the leakage equipment, the equipment information acquisition unit 111 and the leakage basic information acquisition unit 112 respectively acquire and identify leakage equipment-related data and leakage-related data. Finally, the leakage basic information acquisition unit 112 generates the integrated leakage parameter for each leakage type according to the mechanism of the different leakage types, respectively. The collected data are basic information influencing the evaluation of the leakage degree, and for different leakage types, the collected data have different influence degrees on the current petrochemical device.
In this example, the buried pipeline (leak facility) and the process pipeline (leak facility) in the petrochemical plant are handled separately, and the data relating to the facilities such as the number of pipelines, the pipeline diameter, and the ratio of gas phase to liquid phase are set.
(refer to fig. 1) in the leakage influence parameter correction module 12, the module 12 can determine the equipment sensitivity correction factor according to the comprehensive leakage parameter by using an equipment leakage severity design formula corresponding to the leakage type, and can also acquire equipment detection effectiveness information and determine the detection effectiveness correction factor. Specifically, the module 12 further includes a device correction factor determination unit 121 and a detection correction factor determination unit 122. The device correction factor determining unit 121 is configured to perform quantization processing on the acquired daily device management information and the comprehensive leakage parameter, call a device leakage severity design formula corresponding to the leakage type by using the current leakage type, and calculate a device sensitivity correction factor for each leakage type; and a detection correction factor determination unit 122, configured to obtain device detection validity information for each leakage type, and perform quantization and scaling processing on the device detection validity information to obtain corresponding detection validity correction factors.
Specifically, (refer to fig. 2), first, the user enters the daily equipment management information, the equipment correction factor determining unit 121 obtains the entered daily equipment management information and the comprehensive leakage parameter generated from the leakage basic information obtaining unit 112, and the information is quantized by using a preset petrochemical equipment leakage factor correlation mapping relationship network. The petrochemical equipment leakage factor correlation mapping relation network is a mapping relation three-dimensional network aiming at all petrochemical equipment, wherein under the condition of a two-dimensional mapping relation (represented in a matrix arrangement mode) aiming at factors which can influence the leakage risk of the petrochemical equipment, such as equipment operation basic information, equipment daily management information, equipment detection effectiveness information and the like of all leakage equipment in all petrochemical equipment and leakage basic information for recording the leakage condition, corresponding correlation coefficients aiming at safe operation of the petrochemical equipment (the petrochemical equipment to which the corresponding leakage equipment belongs) are preset according to the equipment-leakage combination condition in the two-dimensional mapping relation, and the corresponding correlation coefficients are quantization processing results.
The daily management information of the device records the management level of the enterprise itself, and about 1000 management situations of 13 aspects such as leadership, executive power, process hazard analysis and the like are acquired by the device correction factor determination unit 121 in the leakage influence parameter correction module 12, and the daily management information of the device further includes: the system comprises leadership and executive force management data comprising enterprise leadership safety responsibility system customization scores and enterprise leadership safety responsibility system implementation scores, and process hazard analysis data comprising PHA analysis implementation scores and safety layout scores. In this example, the device correction factor determination unit 121 is networked with a device daily management system in an enterprise, so that management information related to the leaked device can be called in real time, or a method such as importing a template table can be adopted.
Then, after the device correction factor determination unit 121 completes the quantization processing, it further uses the current leakage type information to call a device leakage severity design formula corresponding to the leakage type stored in the unit 121, and calculates a device sensitivity correction factor for each leakage type. The equipment leakage severity design formula is a grade description formula of the leakage influence degree, and has information such as corresponding grade division range, grade quantity, severity threshold grade and the like for each leakage type. Specifically, in the process of calculating the equipment sensitivity correction factor, each quantization result in each leakage type is substituted into a corresponding equipment leakage severity design formula, so that each type of equipment sensitivity correction factor, namely a correction factor having an influence degree on the petrochemical device leakage condition exceeding the severity threshold level, is obtained.
Then, the user continues to enter the device detection validity information, wherein the device detection validity information includes: detection period, overhaul period, detection times, detection method, detection effect, detection personnel and the like. A detection correction factor determination unit 122, which respectively performs quantization processing on the input information by using a preset petrochemical equipment leakage factor correlation mapping relationship network; and further calling a detection effectiveness severity design formula corresponding to the leakage type and stored in the unit by using the current leakage type information, and substituting each quantification result aiming at the detection effectiveness information in each leakage type into the corresponding detection effectiveness severity design formula so as to obtain a detection effectiveness correction factor of each leakage type, namely a correction factor with the influence degree on the petrochemical device leakage condition exceeding the detection effectiveness severity threshold level, thereby completing the quantification and grading operation aiming at the equipment detection effectiveness information. The design formula of the detection effectiveness severity is similar to the design formula of the equipment leakage severity, is a grade description formula of the leakage influence degree on the detection effectiveness, and has information such as corresponding grade division range, grade quantity, severity threshold grade and the like for each leakage type. It should be noted that the method for quantizing and scaling the device detection effectiveness information adopted in the present application is only a specific example, and the present application is not limited to this specifically, and those skilled in the art can design and adjust the method according to actual situations.
Referring again to fig. 1, the data processing module 13 is explained below. And the data processing module 13 is used for obtaining a preliminary analysis result including a reference leakage frequency and a corrected leakage frequency for the leakage type by utilizing a leakage risk calculation model corresponding to the current leakage type based on the comprehensive leakage parameter, the equipment sensitivity correction factor and the detection effectiveness correction factor. Specifically, the module 13 further includes a device reference leakage analyzing unit 131 and a device correction leakage analyzing unit 132. The device reference leakage analyzing unit 131 can calculate a reference leakage frequency (refer to fig. 2) of each leakage type according to the comprehensive leakage parameter by using a leakage risk reference calculation model corresponding to the current leakage type; then, the device-corrected leakage analyzing unit 132 performs a coupling operation of the reference leakage frequency and the device sensitivity correction factor and the detection validity correction factor, respectively, and calculates a corrected leakage frequency for each leakage type. The leakage risk benchmark calculation model is a model constructed aiming at the influence degree of comprehensive leakage parameter evaluation on the safe operation of the petrochemical device. In addition, the corrected leakage frequency is based on the leakage risk reference calculation model constructed aiming at the comprehensive leakage parameters, and further considers the influence factors in the aspects of daily management, effectiveness detection and the like of the equipment, so that the obtained influence factors more comprehensively correct the leakage frequency.
Finally, the result analysis module 14 in the petrochemical device leakage risk analysis system 100 is illustrated. The result analysis module 14 includes a preset reference level standard model (constructed according to the leakage types) for the reference leakage frequency and a preset correction level standard model (constructed according to the leakage types) for the correction leakage frequency, and in the construction process of each model for the leakage types, the frequency range, the number of levels, and the corresponding evaluation score in each level need to be set based on the difference of the influence degree of each leakage frequency on the petrochemical device in each leakage type. In the result analysis process, the module 14 performs a scoring operation on the obtained reference leakage frequency and corrected leakage frequency in each leakage type, searches for an evaluation score in a class to which the corresponding frequency belongs, thereby obtaining leakage score information including the reference leakage evaluation score and the corrected leakage evaluation score for each leakage type, finally generates a leakage analysis result including at least the current leakage score information of each leakage type and the leakage equipment type information corresponding to the current leakage score information, generates a report recording the leakage analysis result, and further stores the report into an evaluation record database in the system 100 while completing a presentation function of the report. It should be noted that the user may derive the report from the results analysis module 14 and/or the assessment records database. In addition, in this example, the leak analysis result is recorded and displayed in the form of a report, but this is merely a specific example, and the form of recording and displaying the leak analysis result is not particularly limited in the present application.
Referring again to FIG. 3, the description continues for the leak analysis results management module 35 in the petrochemical device leak risk management system 300. And the leakage analysis result management module 35 is interconnected with the result analysis module 14 in the petrochemical device leakage risk analysis system 100, receives all generated leakage analysis results in real time, classifies, counts and displays the results, and achieves dynamic management of the petrochemical device leakage risk. Specifically, the module 14 performs real-time cumulative statistics on all leakage score information in each petrochemical device according to the type of the petrochemical device, displays the leakage score information with the score value within a preset severity threshold range and device operation basic information of the leakage device corresponding to the leakage score information, respectively displays dynamically updated statistical results for different petrochemical device areas, and finally derives the results in a report form. It should be noted that the severity threshold range is used to evaluate whether the current leakage is the main leakage risk in the petrochemical plant region, and the parameter range is not specifically limited in this application, and can be appropriately adjusted by those skilled in the art.
In the statistical result display interface, the leakage types and positions of the most serious influence conditions in different petrochemical device areas are displayed, and after a user further selects one of the petrochemical device areas, the daily management type information, the detection effectiveness type information, the leakage basic information, the equipment operation basic information and the like of the leakage condition can be consulted.
Finally, the statistical result display database 36 in the petrochemical device leakage risk management system is explained. A statistical result display database 36 capable of receiving and storing, in real time, a display result transmitted by the leakage analysis result management module 35; on the other hand, data interaction can be carried out between the internet and statistical result display databases of different enterprises, and comparative analysis of leakage risks among different enterprises is achieved.
The method collects information such as operation parameters, equipment integrity parameters, equipment operating environment and the like from 4 aspects such as the technology, process, machinery, device conditions and the like of the equipment, and quantitatively calculates the severity of equipment leakage consequences; meanwhile, the management level and the inspection effectiveness parameters of the enterprise are considered, the severity of the equipment leakage consequence is corrected and calculated, the front calculation result and the rear calculation result are respectively scored, and real-time score statistics is carried out according to the type of the petrochemical device. The invention is combined with a software platform to comprehensively evaluate the security risk, helps enterprises and security supervision departments to evaluate and supervise the security status, and provides database support for the future potential safety hazard rectification of the enterprises, so that petrochemical enterprises realize dynamic management of leakage risk.
The above description is only a preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (6)
1. A petrochemical device leakage risk analysis system, the system comprising:
the leakage parameter acquisition module is used for determining equipment operation basic information aiming at leakage equipment and leakage basic information containing leakage types in the petrochemical equipment to be analyzed, and establishing comprehensive leakage parameters, wherein the leakage equipment is node equipment with leakage points in the petrochemical equipment, and each leakage equipment contains one or more of the following leakage types: thinning leakage, stress corrosion leakage and mechanical fatigue leakage, wherein, leak parameter acquisition module includes:
the equipment information acquisition unit is used for acquiring and identifying basic equipment operation information comprising leakage equipment type information, leakage equipment integrity information and leakage equipment operation medium information, wherein the leakage equipment integrity information comprises the number of leakage equipment types and the equipment type size, and the leakage equipment operation medium information comprises the gas-phase to liquid-phase ratio of current leakage equipment and the operation temperature of the leakage equipment;
a leakage basic information acquisition unit which acquires and identifies the leakage basic information including the leakage type, the leakage time length information and the leakage aperture information contained in the current leakage equipment, integrates the equipment operation basic information and generates the comprehensive leakage parameter;
a leakage influence parameter correction module, which determines an equipment sensitivity correction factor according to the comprehensive leakage parameter by using an equipment leakage severity design formula corresponding to the leakage type, and meanwhile acquires equipment detection validity information to determine a detection validity correction factor, wherein the leakage influence parameter correction module comprises:
the equipment correction factor determination unit is used for respectively carrying out quantization processing on the acquired daily equipment management information aiming at the leaked equipment and the comprehensive leakage parameter by utilizing a preset petrochemical equipment leakage factor correlation mapping relation network, then calling the equipment leakage severity design formula corresponding to the leakage type according to the current leakage type, and substituting a safety operation correlation coefficient representing the current quantization result into the design formula to calculate the equipment sensitivity correction factor aiming at each leakage type, wherein the daily equipment management information is the management information which is called in real time from an internal equipment daily management system of an enterprise and is relevant to the leaked equipment, the petrochemical equipment leakage factor correlation mapping relation network is used for constructing basic equipment operation information, including equipment operation basic information, of all the leaked equipment in all petrochemical devices, After the equipment daily management information and the equipment detection validity information are included in a two-dimensional mapping relation matrix of factors which can influence the leakage risk of the petrochemical device and leakage basic information for recording the leakage condition, presetting a corresponding safe operation correlation coefficient of the petrochemical device based on the equipment-leakage combination condition in the two-dimensional mapping relation, thereby forming a mapping relation three-dimensional network of the factors which can influence the leakage risk of the petrochemical device, the leakage basic information and the safe operation correlation coefficient;
the detection correction factor determining unit is used for acquiring the equipment detection effectiveness information, respectively carrying out quantization and grading processing on the current equipment detection effectiveness information by utilizing the petrochemical equipment leakage factor correlation mapping relation network, then calling a detection effectiveness severity design formula corresponding to the leakage type according to the current leakage type, and substituting the safety operation correlation coefficient representing the current quantization result into the design formula so as to calculate a detection effectiveness correction factor aiming at each leakage type;
a data processing module configured to obtain a reference leakage frequency and a corrected leakage frequency for the leakage type based on the integrated leakage parameter, the equipment sensitivity correction factor, and the detection validity correction factor, using a leakage risk calculation model corresponding to the current leakage type, wherein the data processing module includes:
an equipment reference leakage analyzing unit for calculating the reference leakage frequency of each leakage type by using the leakage risk calculation model corresponding to the current leakage type according to the comprehensive leakage parameter;
and the equipment correction leakage analysis unit is used for coupling the reference leakage frequency with the equipment sensitivity correction factor and the detection effectiveness correction factor to further obtain the correction leakage frequency of each leakage type, wherein the correction leakage frequency is the influence degree of the overall factor on the safe operation of the petrochemical device, which is obtained by further considering the daily management and effectiveness maintenance factors of the equipment on the basis of the comprehensive leakage parameters.
2. The analytical system of claim 1, further comprising:
and the result analysis module is used for respectively scoring the reference leakage frequency and the corrected leakage frequency by utilizing a preset reference/correction grade standard model respectively aiming at the reference leakage frequency and the corrected leakage frequency to obtain leakage score information comprising a reference leakage evaluation score and a corrected leakage evaluation score, and finally generating and storing a leakage analysis result at least comprising the leakage score information and leakage equipment type information in the equipment operation basic information.
3. The analysis system of claim 1 or 2, wherein the device detecting validity information comprises: detection period, overhaul period, detection times, detection method, detection effect and detection personnel.
4. A petrochemical device leakage risk management system, the system comprising:
a petrochemical plant leak risk analysis system according to any one of claims 1 to 3;
a leakage analysis result management module: the system is interconnected with a result analysis module in the petrochemical device leakage risk analysis system, receives all generated leakage analysis results in real time, classifies, counts and displays the results, and achieves dynamic management of the petrochemical device leakage risk.
5. The management system of claim 4, wherein the leakage analysis result management module further performs real-time cumulative statistics on all the leakage score information in each petrochemical device according to the type of the petrochemical device, displays the leakage score information with a score value within a preset severity threshold range and the corresponding basic information of operation of the leakage equipment, and respectively displays the dynamically updated final statistical results for different petrochemical devices.
6. The management system according to claim 4, wherein the system further comprises:
a statistical result display database for receiving and storing the final statistical result sent by the leakage analysis result management module in real time,
further, the statistical result display database is in data interaction with the statistical result display database among different enterprises through the internet.
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