CN112836988A - Method, system and equipment for evaluating risk level of gas polyethylene pipeline - Google Patents
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Abstract
The application discloses a method, a system and equipment for evaluating risk level of a gas polyethylene pipeline, wherein the method comprises the following steps: collecting and summarizing accident data of the gas polyethylene pipeline; establishing major factors for gas polyethylene pipeline failure, wherein the major factors include third party failure, brittle fracture, creep failure, aging and leakage, and operational management; establishing a risk grade evaluation model of the gas polyethylene pipeline based on main factors of failure of the gas polyethylene pipeline; acquiring monitoring data of the gas polyethylene pipeline, and inputting the monitoring data into a gas polyethylene pipeline risk grade evaluation model to acquire the risk grade of the gas polyethylene pipeline. According to the scheme, the risk grade of the gas polyethylene pipeline is comprehensively analyzed, and the problem of comprehensive evaluation of qualitative and quantitative factors existing in risk evaluation all the time is solved.
Description
Technical Field
The application relates to the technical field of pipeline risk evaluation, in particular to a method, a system and equipment for evaluating the risk level of a polyethylene gas pipeline.
Background
The gas pipeline is one of important infrastructures in cities, is widely applied to important fields such as city development, energy supply and people's life, and is called as a city life line. The polyethylene pipe replaces the traditional steel and cast iron pipe in the gas pipe network gradually due to the excellent physical and chemical properties of the polyethylene pipe. The existing gas polyethylene pipelines in China are used for 10-30 years, and with the increase of service time, pipeline accidents occur frequently, so that personnel and property are greatly lost. The pipeline risk evaluation is to perform optimization management and maintenance decision on possible risk links of the pipeline, reduce the accident occurrence probability or control the accident consequence to the maximum extent, and obtain the maximum economic benefit while ensuring the system safety. The development of the risk evaluation research of the gas polyethylene pipeline plays a crucial role in promoting the safe, economic and stable operation of the gas polyethylene pipeline.
At present, the safety evaluation research on the gas polyethylene pipeline at home and abroad mainly focuses on the aspects of design, production, storage, transportation, installation and the like of the polyethylene pipeline, and the risk evaluation research on the gas polyethylene pipeline in the operation process is very little. Most of the existing pipeline risk evaluation methods in China only aim at buried steel pipelines, the essential difference between polyethylene pipelines and steel pipelines is not or cannot be fully considered, and accurate mathematical models and a set of complete calculation methods are not established in semi-quantitative evaluation methods such as a Kent method and a fuzzy mathematical method which are widely used in pipeline risk evaluation, so that the accuracy of evaluation results is influenced. The method does not have a comprehensive and applicable risk evaluation method for the gas polyethylene pipeline which is rapidly popularized and used in China at present, and is not suitable for the development trend of the gas polyethylene pipeline in the future. Therefore, how to establish a risk evaluation method and a system suitable for the gas polyethylene pipeline is a problem to be solved at present, so that the risk evaluation method is programmed by the gas polyethylene pipeline risk evaluation system by using a computer, the complex data arrangement and calculation workload of evaluators is reduced, the basic database of each factor is conveniently and effectively managed, the whole risk evaluation process is conveniently, accurately and quickly completed, the risk evaluation efficiency of the gas polyethylene pipeline is improved, and the method is more suitable for engineering practice.
Disclosure of Invention
The application at least provides a method, a system and equipment for evaluating the risk level of a gas polyethylene pipeline.
The application provides a method for evaluating the risk level of a gas polyethylene pipeline in a first aspect, and the method for evaluating the risk level of the gas polyethylene pipeline comprises the following steps:
collecting and summarizing accident data of the gas polyethylene pipeline;
establishing major factors for the failure of the gas polyethylene pipeline, wherein the major factors include third party failure, brittle fracture, creep failure, aging and leakage, and operational management;
establishing a risk grade evaluation model of the gas polyethylene pipeline based on the main failure factors of the gas polyethylene pipeline;
acquiring monitoring data of the gas polyethylene pipeline, and inputting the monitoring data into the gas polyethylene pipeline risk grade evaluation model to acquire the risk grade of the gas polyethylene pipeline.
In some embodiments, the step of establishing a risk rating evaluation model of the gas polyethylene pipeline based on the main factors of the gas polyethylene pipeline failure includes:
setting five risk grades for the gas polyethylene pipeline risk grade evaluation model, wherein the five risk grades are respectively as follows: the risk level is low in grade I and II, lower in grade II and II, medium in grade III and risk level, higher in grade IV and risk level and high in grade V and risk level;
setting a risk evaluation index according to the main factors;
and determining a specific numerical range of the risk evaluation index corresponding to each risk grade.
In some embodiments, the step of determining the specific numerical range of the risk assessment indicator corresponding to each risk level includes:
acquiring a risk score value of each risk evaluation index in the accident data based on the accident data of the gas polyethylene pipeline;
and setting a specific numerical range of the risk evaluation index corresponding to each risk grade according to the risk score value of each risk evaluation index.
In some embodiments, the step of setting the specific numerical range of the risk evaluation index corresponding to each risk level according to the risk score value of each risk evaluation index includes:
setting a specific numerical range of the risk evaluation index by taking the risk score value of the risk evaluation index in the accident data as a median value;
or setting the specific numerical range of the risk evaluation index by taking the risk score value of the risk evaluation index in the accident data as the minimum value.
In some embodiments, the aircraft refueling method further comprises:
the step of determining the specific numerical range of the risk evaluation index corresponding to each risk level includes:
acquiring accident data of the gas polyethylene pipeline corresponding to each risk level, and acquiring a risk score value of each risk evaluation index from the accident data;
counting the risk score value of each risk evaluation index according to a preset rule to obtain a comprehensive risk score value of the accident data;
and setting a specific numerical range of the risk evaluation index corresponding to the risk grade based on the comprehensive risk score value of the accident data corresponding to each risk grade.
In some embodiments, the step of obtaining a comprehensive risk score value of the accident data by counting the risk score value of each risk evaluation index according to a preset rule includes:
calculating the average value of the risk score values of each risk evaluation index, and taking the average value as the comprehensive risk score value of the accident data;
or calculating the sum of the risk scores of each risk evaluation index according to a preset branch weight, and taking the sum of the risk scores as the comprehensive risk score of the accident data.
In some embodiments, the step of calculating the sum of the risk score values of each risk evaluation index according to a preset weight includes:
acquiring preset weights and risk score values of each risk evaluation index in the accident data, wherein the preset weights are set in advance;
judging whether the risk score value of each risk evaluation index has a score value of 0 or not;
if yes, resetting the bifurcation weight according to the proportion of the preset bifurcation weight and the number of risk evaluation indexes with the value not equal to 0;
and calculating the total risk score value of the risk evaluation indexes of the non-0 score value according to the reset weight, and taking the total risk score value as the comprehensive risk score value of the accident data.
The second aspect of the application provides a risk grade evaluation system for a gas polyethylene pipeline, which comprises a data collection module, a factor establishment module, a model establishment module and a grade evaluation module; wherein,
the data collection module is used for collecting and summarizing accident data of the gas polyethylene pipeline;
the factor establishing module is used for establishing main factors of the gas polyethylene pipeline failure, wherein the main factors comprise third party damage, brittle fracture, creep failure, aging and leakage and operation management;
the model establishing module is used for establishing a risk grade evaluation model of the gas polyethylene pipeline based on the main failure factors of the gas polyethylene pipeline;
and the grade evaluation module is used for acquiring monitoring data of the gas polyethylene pipeline and inputting the monitoring data into the risk grade evaluation model of the gas polyethylene pipeline so as to acquire the risk grade of the gas polyethylene pipeline.
The third aspect of the present application provides a terminal device, which includes a memory and a processor coupled to each other, where the processor is configured to execute program instructions stored in the memory, so as to implement the method for evaluating a risk level of a gas polyethylene pipeline in the first aspect.
A fourth aspect of the present application provides a computer-readable storage medium, on which program instructions are stored, and the program instructions, when executed by a processor, implement the method for evaluating the risk level of a gas polyethylene pipeline in the first aspect.
According to the scheme, the terminal equipment collects and summarizes accident data of the gas polyethylene pipeline; establishing major factors for gas polyethylene pipeline failure, wherein the major factors include third party failure, brittle fracture, creep failure, aging and leakage, and operational management; establishing a risk grade evaluation model of the gas polyethylene pipeline based on main factors of failure of the gas polyethylene pipeline; acquiring monitoring data of the gas polyethylene pipeline, and inputting the monitoring data into a gas polyethylene pipeline risk grade evaluation model to acquire the risk grade of the gas polyethylene pipeline. According to the scheme, the risk grade of the gas polyethylene pipeline is comprehensively analyzed, and the problem of comprehensive evaluation of qualitative and quantitative factors existing in risk evaluation all the time is solved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the application.
FIG. 1 is a schematic flow chart of an embodiment of a method for evaluating the risk level of a gas polyethylene pipeline provided by the present application;
FIG. 2 is a schematic flow chart showing the step S13 in the method for evaluating the risk level of a gas polyethylene pipeline shown in FIG. 1;
FIG. 3 is a schematic diagram of a framework of an embodiment of a system for assessing risk levels of a gas polyethylene pipeline provided by the present application;
FIG. 4 is a block diagram of an embodiment of a terminal device provided in the present application;
FIG. 5 is a block diagram of an embodiment of a computer-readable storage medium provided herein.
Detailed Description
The following describes in detail the embodiments of the present application with reference to the drawings attached hereto.
In the following description, for purposes of explanation and not limitation, specific details are set forth such as particular system structures, interfaces, techniques, etc. in order to provide a thorough understanding of the present application.
The term "and/or" herein is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship. Further, the term "plurality" herein means two or more than two. In addition, the term "at least one" herein means any one of a plurality or any combination of at least two of a plurality, for example, including at least one of A, B, C, and may mean including any one or more elements selected from the group consisting of A, B and C.
Referring to fig. 1 in particular, fig. 1 is a schematic flow chart of an embodiment of a method for evaluating a risk level of a gas polyethylene pipeline provided by the present application. The main execution body of the method for evaluating the risk level of the gas polyethylene pipeline in the embodiment of the disclosure can be a system for evaluating the risk level of the gas polyethylene pipeline.
Specifically, based on the above-mentioned risk level evaluation system for a gas polyethylene pipeline, the risk level evaluation method for a gas polyethylene pipeline according to the embodiment of the present disclosure may include the following steps:
step S11: and collecting and summarizing accident data of the gas polyethylene pipeline.
Accident data about the gas polyethylene pipelines can be collected into a gas polyethylene pipeline risk grade evaluation system through manual input directions, and then the accident data are summarized through the gas polyethylene pipeline risk grade evaluation, wherein the accident data are sorted and stored according to the accident site, the accident time, the accident climate and the like.
Step S12: the major factors for gas polyethylene pipe failure were established, including third party failure, brittle cracking, creep failure, aging and leakage, and operational management.
Through American plastic pipeline committee and China in-service gas polyethylene pipeline accident statistics, the main factors of the gas polyethylene pipeline accident can be determined as follows: third party failure, brittle fracture, creep failure, aging and leakage, and operational management.
Step S13: and establishing a risk grade evaluation model of the gas polyethylene pipeline based on main factors of the failure of the gas polyethylene pipeline.
As shown in fig. 2, fig. 2 is a schematic specific flow chart of the substep S13 in the method for evaluating the risk level of a gas polyethylene pipeline shown in fig. 1. Therefore, the specific substeps of establishing the risk grade evaluation model of the gas polyethylene pipeline based on the main factors of the failure of the gas polyethylene pipeline are as follows:
step S131: and setting five risk grades for the risk grade evaluation model of the gas polyethylene pipeline.
Wherein, the evaluation model of the risk grade of the gas polyethylene pipeline can be divided into five risk grades, which are respectively: the risk level is low in grade I and low in grade II and low in risk level, the risk level is medium in grade III and risk level, the risk level is high in grade IV and risk level, and the risk level is high in grade V and risk level.
Step S132: and setting risk evaluation indexes according to the main factors.
Wherein the risk evaluation index is obtained from failure main factors determined in the data of the gas polyethylene pipeline, and the risk evaluation index of the gas polyethylene pipeline is used as ci(1, 2, 3, 4, 5) wherein C1Third party failure, c2 brittle fracture, c3 creep failure, c4 aging and leakage, and c5 operational management.
It should be noted that the value range of the risk evaluation indexes of the gas polyethylene pipeline in the embodiment of the disclosure is 0-100 minutes.
Step S133: and determining a specific numerical range of the risk evaluation index corresponding to each risk grade.
The gas polyethylene pipeline risk grade evaluation system can determine a specific numerical range of a risk evaluation index corresponding to each risk grade in a gas polyethylene pipeline risk grade evaluation model according to a manually set numerical range, and can determine a specific numerical range of a risk evaluation index corresponding to each risk grade according to accident data of the gas polyethylene pipeline.
Specifically, the risk level evaluation system for the gas polyethylene pipeline can determine the specific numerical range of the risk evaluation index corresponding to each risk level through the following two ways:
(1) the risk grade evaluation system for the gas polyethylene pipeline obtains the risk score value of each risk evaluation index in accident data of the gas polyethylene pipeline through analysis, and then sets the specific numerical range of the risk evaluation index corresponding to each risk grade according to the risk score value of each risk evaluation index.
For example, in the accident data with one evaluation as the level II risk level, the risk score results of each risk evaluation index are as follows:
on one hand, the gas polyethylene pipeline risk grade evaluation system can set the specific numerical range of the risk evaluation index by taking the mean value of the risk score values of the risk evaluation index in the accident data as a median value, wherein the mean value of the risk score values of the accident data is 57.2 points, and the specific numerical range corresponding to the II-grade risk grade is set to be 49.7 to 64.7 points. On the other hand, the gas polyethylene pipeline risk grade evaluation system can also set the specific numerical range of the risk evaluation index by taking the mean value of the risk score values of the risk evaluation index in the accident data as the minimum value, wherein the mean value of the risk score values of the accident data is 57.2 points, and the specific numerical range corresponding to the II-grade risk grade is set to be 57.2 to 72.2 points.
It should be noted that the specific value ranges of other risk levels may be set according to the information of the accident data, or may be derived according to the specific value range of the set II level risk level, which is not described herein again. Wherein the specific value of each risk level is 15 points
(2) The risk grade evaluation system of the gas polyethylene pipeline acquires accident data of the gas polyethylene pipeline corresponding to each risk grade, and acquires the risk score value of each risk evaluation index from the accident data; counting the risk score value of each risk evaluation index according to a preset rule to obtain a comprehensive risk score value of accident data; and setting a specific numerical range of the risk evaluation index corresponding to the risk grade based on the comprehensive risk score value of the accident data corresponding to each risk grade.
For example, in the accident data with one evaluation as the level II risk level, the risk score results of each risk evaluation index are as follows:
the risk grade evaluation system for the gas polyethylene pipeline extracts preset bifurcation weights which are preset in advance, the bifurcation weights corresponding to each evaluation index can be the same or different, and the importance of the evaluation index to the evaluation risk grade is represented by the size of the bifurcation weights, namely the larger the bifurcation weight corresponding to the evaluation index is, the more important the evaluation index is to the evaluation risk grade. Assuming that the preset weights corresponding to the five evaluation indexes are 0.18, 0.35, 0.05, 0.12 and 0.30 respectively, the sum of the risk score values of the risk evaluation indexes is 63.86 points, and thus, the specific numerical range corresponding to the level II risk level is set to be 56.36-71.36 points.
Further, when the risk score value of the risk evaluation index has a score value of 0, the risk grade evaluation system for the gas polyethylene pipeline can reset the branch weight according to the proportion of the preset branch weight and the number of other risk evaluation indexes with the score values not being 0. And then calculating the total risk score value of the risk evaluation indexes with the score values not being 0 according to the reset bifurcation weight, and taking the total risk score value as the comprehensive risk score value of the accident data.
Step S14: acquiring monitoring data of the gas polyethylene pipeline, and inputting the monitoring data into a gas polyethylene pipeline risk grade evaluation model to acquire the risk grade of the gas polyethylene pipeline.
In the embodiment of the disclosure, the terminal device carrying the risk grade evaluation system of the polyethylene gas pipeline collects and summarizes accident data of the polyethylene gas pipeline; establishing major factors for gas polyethylene pipeline failure, wherein the major factors include third party failure, brittle fracture, creep failure, aging and leakage, and operational management; establishing a risk grade evaluation model of the gas polyethylene pipeline based on main factors of failure of the gas polyethylene pipeline; acquiring monitoring data of the gas polyethylene pipeline, and inputting the monitoring data into a gas polyethylene pipeline risk grade evaluation model to acquire the risk grade of the gas polyethylene pipeline. According to the scheme, the risk grade of the gas polyethylene pipeline is comprehensively analyzed, and the problem of comprehensive evaluation of qualitative and quantitative factors existing in risk evaluation all the time is solved.
In order to realize the risk level evaluation method for the gas polyethylene pipeline in the above embodiment, the application provides a risk level evaluation system for the gas polyethylene pipeline, and specifically please refer to fig. 3, where fig. 3 is a schematic frame diagram of an embodiment of the risk level evaluation system for the gas polyethylene pipeline provided in the application.
As shown in fig. 3, the system 300 for evaluating the risk level of a gas polyethylene pipeline in the present embodiment includes a data collecting module 31, a factor establishing module 32, a model establishing module 33, and a level evaluating module 34.
The data collecting module 31 is used for collecting and summarizing accident data of the polyethylene gas pipeline; the factor establishing module 32 is used for establishing main factors of the gas polyethylene pipeline failure, wherein the main factors comprise third party damage, brittle fracture, creep failure, aging and leakage and operation management; the model establishing module 33 is used for establishing a risk grade evaluation model of the gas polyethylene pipeline based on the main failure factors of the gas polyethylene pipeline; and the grade evaluation module 34 is used for acquiring monitoring data of the gas polyethylene pipeline and inputting the monitoring data into the risk grade evaluation model of the gas polyethylene pipeline so as to acquire the risk grade of the gas polyethylene pipeline.
In order to implement the method for evaluating the risk level of the gas polyethylene pipeline in the above embodiment, the application further provides a terminal device, and specifically please refer to fig. 4, where fig. 4 is a schematic frame diagram of an embodiment of the terminal device provided in the application.
As shown in fig. 4, the terminal device 400 of the present embodiment includes a processor 41, a memory 42, an input-output device 43, and a bus 44.
The processor 41, the memory 42, and the input/output device 43 are respectively connected to the bus 44, the memory 42 stores a computer program, and the processor 41 is configured to execute the computer program to implement the method for evaluating the risk level of the gas polyethylene pipeline according to the above embodiment.
In the present embodiment, the processor 41 may also be referred to as a CPU (Central Processing Unit). The processor 41 may be an integrated circuit chip having signal processing capabilities. The processor 41 may also be a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components. The processor 41 may also be a GPU (Graphics Processing Unit), which is also called a display core, a visual processor, and a display chip, and is a microprocessor specially used for image operation on a personal computer, a workstation, a game machine, and some mobile devices (such as a tablet computer, a smart phone, etc.). The GPU is used for converting and driving display information required by a computer system, providing a line scanning signal for a display and controlling the display of the display correctly, is an important element for connecting the display and a personal computer mainboard, and is also one of important devices for man-machine conversation. The display card is an important component in the computer host, takes charge of outputting display graphics, and is very important for people engaged in professional graphic design. A general purpose processor may be a microprocessor or the processor 41 may be any conventional processor or the like.
Referring to fig. 5, fig. 5 is a block diagram illustrating an embodiment of a computer-readable storage medium provided in the present application. The computer readable storage medium 50 stores program instructions 501 capable of being executed by a processor, and the program instructions 501 are used for implementing the steps of any one of the above-mentioned embodiments of the method for evaluating the risk level of a gas polyethylene pipeline.
In some embodiments, functions of or modules included in the apparatus provided in the embodiments of the present disclosure may be used to execute the method described in the above method embodiments, and specific implementation thereof may refer to the description of the above method embodiments, and for brevity, will not be described again here.
The foregoing description of the various embodiments is intended to highlight various differences between the embodiments, and the same or similar parts may be referred to each other, and for brevity, will not be described again herein.
In the several embodiments provided in the present application, it should be understood that the disclosed method and apparatus may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of a module or a unit is merely one type of logical division, and an actual implementation may have another division, for example, a unit or a component may be combined or integrated with another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some interfaces, and may be in an electrical, mechanical or other form.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) or a processor (processor) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
Claims (10)
1. The method for evaluating the risk level of the gas polyethylene pipeline is characterized by comprising the following steps of:
collecting and summarizing accident data of the gas polyethylene pipeline;
establishing major factors for the failure of the gas polyethylene pipeline, wherein the major factors include third party failure, brittle fracture, creep failure, aging and leakage, and operational management;
establishing a risk grade evaluation model of the gas polyethylene pipeline based on the main failure factors of the gas polyethylene pipeline;
acquiring monitoring data of the gas polyethylene pipeline, and inputting the monitoring data into the gas polyethylene pipeline risk grade evaluation model to acquire the risk grade of the gas polyethylene pipeline.
2. The method for evaluating the risk level of a gas polyethylene pipeline according to claim 1,
the step of establishing a gas polyethylene pipeline risk grade evaluation model based on the main factors of the gas polyethylene pipeline failure comprises the following steps:
setting five risk grades for the gas polyethylene pipeline risk grade evaluation model, wherein the five risk grades are respectively as follows: the risk level is low in grade I and II, lower in grade II and II, medium in grade III and risk level, higher in grade IV and risk level and high in grade V and risk level;
setting a risk evaluation index according to the main factors;
and determining a specific numerical range of the risk evaluation index corresponding to each risk grade.
3. The method for evaluating the risk level of a gas polyethylene pipeline according to claim 2,
the step of determining the specific numerical range of the risk evaluation index corresponding to each risk level includes:
acquiring a risk score value of each risk evaluation index in the accident data based on the accident data of the gas polyethylene pipeline;
and setting a specific numerical range of the risk evaluation index corresponding to each risk grade according to the risk score value of each risk evaluation index.
4. The method for evaluating the risk rating of a gas polyethylene pipeline according to claim 3,
the step of setting the specific numerical range of the risk evaluation index corresponding to each risk level according to the risk score value of each risk evaluation index includes:
setting a specific numerical range of the risk evaluation index by taking the risk score value of the risk evaluation index in the accident data as a median value;
or setting the specific numerical range of the risk evaluation index by taking the risk score value of the risk evaluation index in the accident data as the minimum value.
5. The method for evaluating the risk level of a gas polyethylene pipeline according to claim 2,
the step of determining the specific numerical range of the risk evaluation index corresponding to each risk level includes:
acquiring accident data of the gas polyethylene pipeline corresponding to each risk level, and acquiring a risk score value of each risk evaluation index from the accident data;
counting the risk score value of each risk evaluation index according to a preset rule to obtain a comprehensive risk score value of the accident data;
and setting a specific numerical range of the risk evaluation index corresponding to the risk grade based on the comprehensive risk score value of the accident data corresponding to each risk grade.
6. The method for evaluating the risk rating of a gas polyethylene pipeline according to claim 5,
the step of counting the risk score value of each risk evaluation index according to a preset rule to obtain the comprehensive risk score value of the accident data comprises the following steps:
calculating the average value of the risk score values of each risk evaluation index, and taking the average value as the comprehensive risk score value of the accident data;
or calculating the sum of the risk scores of each risk evaluation index according to a preset branch weight, and taking the sum of the risk scores as the comprehensive risk score of the accident data.
7. The method for evaluating the risk level of a gas polyethylene pipeline according to claim 6,
the step of calculating the sum of the risk score values of each risk evaluation index according to the preset branch weight comprises the following steps:
acquiring preset weights and risk score values of each risk evaluation index in the accident data, wherein the preset weights are set in advance;
judging whether the risk score value of each risk evaluation index has a score value of 0 or not;
if yes, resetting the bifurcation weight according to the proportion of the preset bifurcation weight and the number of risk evaluation indexes with the value not equal to 0;
and calculating the total risk score value of the risk evaluation indexes of the non-0 score value according to the reset weight, and taking the total risk score value as the comprehensive risk score value of the accident data.
8. The risk grade evaluation system for the gas polyethylene pipeline is characterized by comprising a data collection module, a factor establishment module, a model establishment module and a grade evaluation module; wherein,
the data collection module is used for collecting and summarizing accident data of the gas polyethylene pipeline;
the factor establishing module is used for establishing main factors of the gas polyethylene pipeline failure, wherein the main factors comprise third party damage, brittle fracture, creep failure, aging and leakage and operation management;
the model establishing module is used for establishing a risk grade evaluation model of the gas polyethylene pipeline based on the main failure factors of the gas polyethylene pipeline;
and the grade evaluation module is used for acquiring monitoring data of the gas polyethylene pipeline and inputting the monitoring data into the risk grade evaluation model of the gas polyethylene pipeline so as to acquire the risk grade of the gas polyethylene pipeline.
9. A terminal device, comprising a memory and a processor coupled to each other, wherein the processor is configured to execute program instructions stored in the memory to implement the method for evaluating a risk level of a gas-fired polyethylene pipeline according to any one of claims 1 to 7.
10. A computer readable storage medium having stored thereon program instructions, wherein said program instructions when executed by a processor implement the method of risk rating for gas polyethylene pipelines according to any of claims 1 to 7.
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