CN117520569B - Method, device, equipment and medium for generating gas pipeline leakage disaster chain - Google Patents
Method, device, equipment and medium for generating gas pipeline leakage disaster chain Download PDFInfo
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Abstract
The application provides a method, a device, equipment and a medium for generating a gas pipeline leakage disaster chain, and relates to the technical field of safety. The method comprises the following steps: establishing a disaster knowledge graph of the gas pipeline according to the influence relation between disaster entities of the gas pipeline; acquiring a leakage position of the gas pipeline, acquiring an influence radius of the leakage position, and acquiring the number of pedestrians at the leakage position; acquiring an evaluation parameter value of the disaster entity according to the influence radius and the pedestrian number; and confirming whether the disaster entity is established in the disaster knowledge graph according to the evaluation parameter value. The method of the application realizes the dynamic prediction of the leakage disaster of the gas pipeline.
Description
Technical Field
The application relates to the technical field of safety, in particular to a method, a device, equipment and a medium for generating a gas pipeline leakage disaster chain.
Background
The gas pipeline is mainly laid below urban roads, the environment where the gas pipeline is located is densely built and has a plurality of population, and meanwhile, due to the reasons of large scale of the gas pipeline, long service life of part of the pipeline, geological disasters, construction damages and the like, gas pipeline accidents (such as gas pipeline leakage) occur at times, and great threat is brought to society.
At present, accident consequence analysis is an important gas pipeline risk management and control means; however, the analysis of the accident result is mainly reflected in post-event analysis, i.e. the result is estimated after the accident, and the pre-prediction cannot be performed, so that the accident of the gas pipeline can be reduced to a small extent.
Therefore, the application provides a processing method capable of dynamically pre-judging the gas pipeline accident.
Disclosure of Invention
The application provides a method, a device, equipment and a medium for generating a gas pipeline leakage disaster chain, which are used for solving the problems that in the prior art, after-accident analysis is carried out on a gas pipeline, the gas pipeline cannot be predicted in advance, and the gas pipeline accident can be reduced to a small extent.
In a first aspect, the present application provides a method for generating a leakage disaster chain of a gas pipeline, including:
Establishing a disaster knowledge graph of the gas pipeline according to the influence relation between disaster entities of the gas pipeline;
acquiring a leakage position of the gas pipeline, acquiring an influence radius of the leakage position, and acquiring the number of pedestrians at the leakage position;
Acquiring an evaluation parameter value of the disaster entity according to the influence radius and the pedestrian number;
And confirming whether the disaster entity is established in the disaster knowledge graph according to the evaluation parameter value.
In a possible implementation manner, the obtaining the evaluation parameter value of the disaster entity according to the influence radius and the pedestrian number includes:
If the evaluation parameter type of the disaster entity is related to the influence radius, confirming the influence radius type influencing the evaluation parameter;
Acquiring an evaluation parameter value of the disaster entity according to the influence radius type and the quantity of the influence radius types;
And if the evaluation parameter type of the disaster entity is related to the pedestrian number, acquiring an evaluation parameter value of the disaster entity according to the pedestrian number and the ignition influence coefficient.
In one possible implementation, the obtaining the radius of influence of the leakage location includes:
Obtaining the damage radius of the broken piece at the leakage position according to the volume of the inspection well at the leakage position;
Acquiring an overpressure injury radius of the leakage position according to TNT equivalent mass corresponding to the explosion of the inspection well at the leakage position;
acquiring a potential influence radius of the leakage position according to the outer diameter of the gas pipeline at the leakage position;
wherein the fragment injury radius, the overpressure injury radius, and the potential impact radius are of different impact radius types.
In one possible implementation manner, if the evaluation parameter type of the disaster entity is related to the influence radius and the number of the influence radius types is one, the method further includes:
Confirming that the evaluation parameter type of the disaster entity is a first evaluation parameter, and acquiring the value of the first evaluation parameter according to the radius range corresponding to the influence radius type; wherein the first evaluation parameter includes a predicted number of damaged pipelines and an impact population;
If the evaluation parameter type of the disaster entity is related to the influence radius and the number of the influence radius types is a plurality of, the method further comprises:
confirming that the evaluation parameter type of the disaster entity is a second evaluation parameter, and acquiring the value of the second evaluation parameter according to the radius range corresponding to the maximum radius type in the influence radius types; wherein the second evaluation parameters include influence on the number of buildings, influence on the number of factories, influence on the number of markets, influence on the number of roads.
In a possible implementation manner, the method for obtaining the evaluation parameter value of the disaster entity further includes:
And acquiring economic loss information according to a third evaluation parameter, wherein the economic loss information is one of evaluation parameters of the disaster entity, the third evaluation parameter is an evaluation parameter related to economic loss, and the third evaluation parameter comprises the number of damaged pipelines, the number of expected damaged pipelines, the number of influencing buildings, the number of influencing factories, the number of influencing markets and the number of influencing roads.
In a possible implementation manner, the method for obtaining the evaluation parameter value of the disaster entity further includes:
And acquiring the number of resident households communicated with the gas pipeline in a GIS database according to the leakage position of the gas pipeline to obtain the number of influencing resident households, wherein the number of influencing resident households is one of evaluation parameters of the disaster entity.
In a possible implementation manner, the determining whether the disaster entity is established in the disaster knowledge graph according to the evaluation parameter value includes:
And confirming whether the evaluation parameter values related to the disaster entities exceed a preset threshold value or not, and if so, confirming that the disaster entities corresponding to the evaluation parameter values are established, wherein each disaster entity is related to at least one evaluation parameter value.
In a second aspect, the present application provides a gas pipeline leakage disaster chain generation device, comprising:
The building module is used for building a disaster knowledge graph of the gas pipeline according to the influence relation among disaster entities of the gas pipeline;
The first acquisition module is used for acquiring the leakage position of the gas pipeline, acquiring the influence radius of the leakage position and acquiring the number of pedestrians at the leakage position;
The second acquisition module is used for acquiring the evaluation parameter value of the disaster entity according to the influence radius and the pedestrian number;
and the judging module is used for confirming whether the disaster entity is established in the disaster knowledge graph according to the evaluation parameter value.
In a third aspect, the present application provides a gas pipeline leakage disaster chain generation device, comprising: at least one processor and memory;
The memory stores computer-executable instructions;
the at least one processor executes computer-executable instructions stored by the memory, causing the at least one processor to perform the gas pipeline leakage disaster chain generation method as described above.
In a fourth aspect, the present application provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the gas pipeline leakage disaster chain generation method as described above.
According to the method, the device, the equipment and the medium for generating the gas pipeline leakage disaster chain, disaster knowledge maps of the gas pipeline are established according to the influence relationship among disaster entities of the gas pipeline; acquiring a leakage position of the gas pipeline, acquiring an influence radius of the leakage position, and acquiring the number of pedestrians at the leakage position; acquiring an evaluation parameter value of the disaster entity according to the influence radius and the pedestrian number; and confirming whether the disaster entity is established in the disaster knowledge graph according to the evaluation parameter value.
In the method, the leakage of the gas pipeline can cause a plurality of different disasters, namely disaster entities, and influence relations exist among the disaster entities, and according to the influence relations, disaster knowledge maps of the gas pipeline can be constructed; however, in the dynamic environment where the gas pipeline is arranged, not every disaster entity is established, and the specific value of the evaluation parameter corresponding to the disaster entity, namely the evaluation parameter value of the disaster entity, needs to be obtained in real time, so that whether the disaster entity is established in the disaster knowledge graph is confirmed, and a established disaster chain is left, so that the dynamic prediction of the gas pipeline is realized; the evaluation parameters are acquired according to the acquired influence radius of the leakage position of the gas pipeline and the number of pedestrians.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions of the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the invention, and other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a method for generating a leakage disaster chain of a gas pipeline according to an embodiment of the present application;
fig. 2 is a schematic flow chart II of a method for generating a leakage disaster chain of a gas pipeline according to an embodiment of the present application;
fig. 3 is a schematic flow chart III of a method for generating a leakage disaster chain of a gas pipeline according to an embodiment of the present application;
fig. 4 is a flow chart diagram of a method for generating a leakage disaster chain of a gas pipeline according to an embodiment of the present application;
fig. 5 is a diagram of a gas pipeline leakage disaster chain generation device according to an embodiment of the present invention;
Fig. 6 is a hardware schematic diagram of a gas pipeline leakage disaster chain generating device according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The gas pipeline is mainly laid below urban roads, the environment where the gas pipeline is located is densely built and has a plurality of population, and meanwhile, due to the reasons of large scale of the gas pipeline, long service life of part of the pipeline, geological disasters, construction damages and the like, gas pipeline accidents (such as gas pipeline leakage) occur at times, and great threat is brought to society.
At present, accident consequence analysis is an important gas pipeline risk management and control means; however, the analysis of the accident results is mainly reflected in post-event analysis, namely, the results are evaluated after the accident occurs, the pre-prediction cannot be carried out, and the gas pipeline accidents can be reduced to a small extent;
For example, the existing method performs secondary disaster analysis on the environment around the alarm point (the leakage position of the gas pipeline) through static information, and the secondary disaster result is obtained manually.
Therefore, the application provides a processing method capable of dynamically pre-judging the gas pipeline accident.
The implementation process of the gas pipeline leakage disaster chain generation method provided by the application is described below with reference to the accompanying drawings and specific embodiments.
The scene for generating the leakage disaster chain of the gas pipeline provided by the embodiment of the application comprises the following steps: pipes, sensors, cameras, and a processing server for receiving related data (sensor data, camera data) at a remote place;
The pipeline is a gas pipeline and is used for conveying gas; each inspection well is provided with a corresponding gas pipeline, and a sensor is correspondingly arranged, and is used for monitoring the methane concentration, sending an alarm after the methane concentration exceeds the standard, and transmitting alarm data to a processing server; the camera is used for monitoring pedestrians passing through the upper part of the inspection well in real time and transmitting monitoring information to the processing server; the processing server is used for confirming the establishment part of the gas pipeline disaster knowledge graph according to the received data;
Before confirming how many disaster entities in the disaster knowledge graph of the gas pipeline are established, the disaster knowledge graph of the gas pipeline needs to be established according to the influence relation among the disaster entities of the gas pipeline, and the disaster entities of the established disaster knowledge graph comprise gas pipeline breakage (broken pipelines), traffic jam, building damage, other pipeline damage (predicted damage pipelines possibly occurring due to the broken pipelines), fire explosion, gas supply interruption, factory shutdown, commercial break, living inconvenience, environmental pollution, casualties and economic loss;
Each disaster entity in the disaster knowledge graph is not necessarily established, the disaster entity needs to confirm whether the disaster entity is established or not through evaluation parameters, and the evaluation parameters can be dynamically changed; acquiring evaluation parameters, namely acquiring the influence radius of a leakage position through the leakage position of the gas pipeline and acquiring the number of pedestrians at the leakage position; the value of the evaluation parameter can be obtained by influencing the radius and the number of pedestrians, so as to obtain the value of the evaluation parameter; whether the disaster entity is established or not can be confirmed according to the evaluation parameters, and the established disaster entity and the corresponding connecting line are finally reserved in the disaster knowledge graph, so that the gas pipeline leakage disaster chain is obtained, and the gas pipeline leakage disaster chain is predicted in real time in an efficient and dynamic mode.
Fig. 1 is a schematic flow chart of a method for generating a leakage disaster chain of a gas pipeline according to an embodiment of the present application. As shown in fig. 1, the method includes:
s201, establishing a disaster knowledge graph of the gas pipeline according to the influence relation among disaster entities of the gas pipeline.
Analyzing accident data of gas pipeline leakage, analyzing disaster entities of the gas pipeline, and analyzing influence relations among the disaster entities according to actual experience data; according to the influence relation between disaster entities of the gas pipeline, constructing a disaster knowledge graph of the gas pipeline, wherein the disaster knowledge graph comprises different disaster entities and the relevance between every two disaster entities.
S202, acquiring the leakage position of the gas pipeline, acquiring the influence radius of the leakage position, and acquiring the number of pedestrians at the leakage position.
A sensor is arranged near the gas pipeline right below the inspection well and is used for alarming leakage of the gas pipeline, and the leakage position of the gas pipeline is obtained according to the alarm position; for example, the sensor is methane concentration monitoring equipment, and the sensor immediately gives an alarm and feeds back to the processing server when detecting that the methane concentration exceeds a preset concentration value; the processing server can acquire the longitude and latitude positions of the sensor, namely the leakage positions of the gas pipeline, according to the identification of the sensor;
the gas pipeline is leaked and is likely to explode, and the influence radius (the influence radius is also divided into a plurality of types) under the condition of explosion is estimated, whether pedestrians exist in the vicinity of the leakage position is confirmed, and the number of pedestrians is counted.
S203, acquiring the evaluation parameter value of the disaster entity according to the influence radius and the pedestrian number.
Whether the disaster entity is established or not is related to the evaluation parameters, the evaluation parameters for determining whether the disaster entity is established or not can be correspondingly selected according to actual requirements, and the value of the evaluation parameters (evaluation parameter value) is related to the influence radius and the number of pedestrians; the evaluation parameters can be classified into a plurality of types, and some evaluation parameters are affected by the influence radius to take values, and some evaluation parameters are affected by the number of pedestrians to take values.
S204, confirming whether the disaster entity is established in the disaster knowledge graph according to the evaluation parameter value.
Whether the disaster entity is established or not is related to the corresponding evaluation parameter type, and each evaluation parameter type corresponds to an evaluation parameter value under the type:
for example, whether the evaluation parameter values related to the disaster entities exceed a preset threshold is confirmed, if yes, the disaster entities corresponding to the evaluation parameter values are confirmed to be established, wherein each disaster entity is related to at least one evaluation parameter value.
A single disaster entity may be associated with one or more evaluation parameter values; if a single disaster entity corresponds to one evaluation parameter value, comparing the evaluation parameter value corresponding to the disaster entity with a preset threshold value corresponding to the evaluation parameter value, and if the evaluation parameter value exceeds the preset threshold value, establishing the disaster entity; for example, the number of pedestrians can be an evaluation parameter, when the number of pedestrians is greater than 0, the pedestrians passing through the inspection well must have casualties, so that the casualties in the corresponding disaster entities are established, the established disaster entities can be kept in disaster knowledge graphs, and finally the left disaster knowledge graphs are the gas pipeline leakage disaster chains;
if a single disaster entity corresponds to a plurality of evaluation parameter values, whether the disaster entity is established or not can be confirmed according to actual requirements, for example, if any one of the evaluation parameter values corresponding to the disaster entity exceeds a standard, the disaster entity is established.
In the embodiment of the application, the leakage of the gas pipeline can cause a plurality of different disasters, namely, disaster entities, and influence relations exist among the disaster entities, and according to the influence relations, a disaster knowledge graph of the gas pipeline can be constructed; however, in the dynamic environment where the gas pipeline is arranged, not every disaster entity is established, and the specific value of the evaluation parameter corresponding to the disaster entity, namely the evaluation parameter value of the disaster entity, needs to be obtained in real time, so that whether the disaster entity is established in the disaster knowledge graph is confirmed, and a established disaster chain is left, so that the dynamic prediction of the gas pipeline is realized; wherein, the evaluation parameters are acquired according to the acquired influence radius of the leakage position of the gas pipeline and the number of pedestrians
Fig. 2 is a schematic flow chart II of a method for generating a leakage disaster chain of a gas pipeline according to an embodiment of the present application. As shown in fig. 2, the method includes:
And S301, if the evaluation parameter type of the disaster entity is related to the influence radius, confirming the influence radius type influencing the evaluation parameter.
The evaluation parameter type may be related to the influence radius or the number of pedestrians; in the case that the evaluation parameter type of the disaster entity is related to the influence radius, the value of the evaluation parameter is also related to the influence radius type, the influence radius ranges selected by different evaluation parameter types may be different, and the influence radius type actually corresponding to the evaluation parameter can be confirmed according to the evaluation parameter.
S302, acquiring evaluation parameter values of the disaster entity according to the influence radius types and the quantity of the influence radius types.
The number of influencing radius types related to the evaluation parameter also influences the value of the evaluation parameter, since different influencing radius types correspond to different radius values; based on the different radius values, a reference range for acquiring the value of the evaluation parameter is confirmed, and the evaluation parameter value can be acquired in the reference range.
S303, if the evaluation parameter type of the disaster entity is related to the pedestrian number, acquiring an evaluation parameter value of the disaster entity according to the pedestrian number and the ignition influence coefficient.
Under the condition that the evaluation parameter type of the disaster entity is related to the number of pedestrians, the number of pedestrians can be directly confirmed as the evaluation parameter of the disaster entity, and the evaluation parameter of the disaster entity can be obtained according to the number of pedestrians; according to the number of pedestrians and the ignition influence coefficient, the explosion risk probability can be obtained as an evaluation parameter of a disaster entity;
And under the time t, the formula of the explosion risk probability P (t) is as follows:
Wherein, E is natural logarithm, and the default value is 1; n is the average number of people passing over the manhole cover within one hour; w is the ignition influence coefficient of pedestrians per minute, and defaults to 0.01; t is the time of each pedestrian passing through the current manhole cover, the unit is seconds, the walking speed of each pedestrian is 1.4m/s, the diameter of the manhole cover is 0.7 m, and the time of each pedestrian passing through the manhole cover is 0.5s;
The way to obtain the number of pedestrians is optional: according to the obtained identification of the alarming sensor, searching a Real-Time streaming protocol (Real Time StreamingProtocol, RTSP) address of the monitoring camera corresponding to the alarming sensor in a large-capacity data storage server through a geographic information system (Geographic Information System, GIS), obtaining a historical video stream of the monitoring camera through RTSP, and obtaining the number of pedestrians passing over an inspection well where the alarming sensor is located within 1 hour by using a YOLOv algorithm with the best current target detection effect.
In the embodiment of the application, the evaluation parameter values of the disaster entities are confirmed by influencing the radius and the pedestrian number so as to obtain the actual evaluation parameter values of the disaster entities, thereby being convenient for the establishment of the follow-up disaster entities to obtain proper judgment.
Fig. 3 is a schematic flow chart III of a method for generating a leakage disaster chain of a gas pipeline according to an embodiment of the present application. As shown in fig. 3, the method includes:
S401, acquiring the damage radius of the broken piece at the leakage position according to the volume of the inspection well at the leakage position.
Acquiring TNT equivalent mass according to the volume of the inspection well; acquiring the total energy of burst explosion according to TNT equivalent quality; acquiring the damage radius of the broken piece at the leakage position according to the total energy of the broken piece explosion;
according to the inspection well volume V, the formula for obtaining TNT equivalent mass M (unit is kg) is as follows:
wherein A is equivalent coefficient, and the maximum value is 0.15; m is the total mass of the explosive natural gas, and the unit is kg; The unit is kJ/kg, the combustion heat of methane can be taken, and the value is 5.56 multiplied by 10 4 kJ/kg; /(I) The explosion heat value of the TNT standard explosion source is in kJ/kg, and the value is 4.52 multiplied by 10 3 kJ/kg; /(I)The natural gas density is expressed as kg/m 3, and the value is 0.764kg/m 3;
The formula for obtaining the total burst explosion energy E according to TNT equivalent mass is as follows:
Wherein 4148 is TNT equivalent, and the unit is KJ;
the formula for acquiring the fragment injury radius R of the leakage position according to the total fragment explosion energy is as follows:
Wherein, the process of obtaining the damage radius of the broken piece is optional: the research on the projection track of the explosive fragments mainly gives out a kinematic equation of the projection fragments on the premise that the air resistance of the projection fragments is in direct proportion to the square of the speed of the projection fragments, so as to estimate the projection distance of the fragments; assume a throw angle of 45 degrees (maximum throw distance angle); generally, the fragment kinetic energy accounts for 60% -70% of the total energy of the fragment explosion;
The formula of the fragment kinetic energy Ei is:
Wherein b is the air resistance coefficient, generally 1.1-1.2; The quality of the broken piece is; /(I) Initial speed for breaking sheets is thrown;
the formula of the initial speed of the broken piece throwing is as follows:
Wherein, Is the throwing angle (maximum 45 degrees); sin () is a sine function; g is gravity acceleration;
Taking an air resistance coefficient of 1.1, taking a gravity acceleration of 10, taking an inspection well radius of 0.45m, taking Ei=0.7E, and combining a formula of breaking kinetic energy and a formula of breaking initial speed to obtain a formula of breaking damage radius.
S402, acquiring the overpressure injury radius of the leakage position according to TNT equivalent mass corresponding to the explosion of the inspection well at the leakage position.
According to TNT equivalent mass corresponding to the explosion of the inspection well at the leakage position and an explosion field shock wave overpressure formula, acquiring an overpressure injury radius at the leakage position; shock waves are a major factor in causing damage to the surroundings, and for a standard explosion source with mass M, when the ground explodes, the overpressure of the shock waves in the explosion field satisfies the following formula:
wherein L is the overpressure injury radius.
S403, acquiring a potential influence radius of the leakage position according to the outer diameter of the gas pipeline at the leakage position;
wherein the fragment injury radius, the overpressure injury radius, and the potential impact radius are of different impact radius types.
The potential influence radius of the leakage position can be obtained according to the outer diameter of the gas pipeline at the leakage position and the maximum allowable operating pressure (unit is Pa) of the gas pipeline;
the equation for the potential influence radius r (in m) for the leak location is:
wherein d is the outer diameter of the gas pipeline; p is the maximum allowable operating pressure of the gas line.
In the embodiment of the application, the conditions of different types of the influence radius of the leakage position are confirmed according to different conditions, so that the evaluation parameters can be confirmed according to the different types of the influence radius.
Fig. 4 is a flow chart diagram of a method for generating a leakage disaster chain of a gas pipeline according to an embodiment of the present application. As shown in fig. 4, the method includes:
S501, if the evaluation parameter type of the disaster entity is related to the influence radius, and the number of the influence radius types is one, confirming that the evaluation parameter type of the disaster entity is a first evaluation parameter, and acquiring the value of the first evaluation parameter according to the radius range corresponding to the influence radius type;
wherein the first evaluation parameter includes a predicted number of damaged pipelines and an impact population.
The evaluation parameter types are related to the influence radius, and can be divided into different situations according to the quantity of the influence radius types, wherein the different situations comprise a first evaluation parameter and a second evaluation parameter; if the evaluation parameter type of the disaster entity is related to the influence radius and the number of the influence radius types is one, confirming that the evaluation parameter type of the disaster entity is a first evaluation parameter;
If the first evaluation parameter is the number of expected damaged pipelines, confirming a first range by taking the leakage position as the center and taking the overpressure injury radius as the radius; within a first range, obtaining an estimated number of broken lines (which may also count buildings that are affected) that are estimated to be likely to be affected;
If the first evaluation parameter is the number of the influence residential areas, confirming a second range by taking the leakage position as the center and taking the potential influence radius as the radius; in the second range, the number of residential areas that are expected to be affected is acquired, resulting in the number of affected residential areas.
S502, if the evaluation parameter types of the disaster entity are related to the influence radius, and the number of the influence radius types is a plurality of, confirming that the evaluation parameter types of the disaster entity are second evaluation parameters, and acquiring the value of the second evaluation parameters according to the radius range corresponding to the maximum radius type in the influence radius types;
Wherein the second evaluation parameters include influence on the number of buildings, influence on the number of factories, influence on the number of markets, influence on the number of roads.
If the evaluation parameter type of the disaster entity is related to the influence radius and the number of the influence radius types is a plurality of, confirming that the evaluation parameter type of the disaster entity is a second evaluation parameter;
If the second evaluation parameter is the number of the influence buildings, selecting the maximum radius type from the fragment injury radius and the overpressure injury radius, acquiring a first value of the maximum radius type, and confirming a third range by taking the leakage position as the center and the first value as the radius; acquiring the number of influencing buildings, which are expected to be influenced, in a third range; the number of buildings (including marks, positions and names) with leakage at the current position causing gas interruption can be calculated through GIS connectivity analysis and recorded (other second evaluation parameters are the same);
If the second evaluation parameters are the number of influencing factories, the number of influencing markets and the number of influencing roads, selecting a maximum radius type from the broken damage radius, the overpressure damage radius and the potential influence radius, acquiring a second value of the maximum radius type, and confirming a fourth range by taking the leakage position as the center and the second value as the radius; in the fourth range, the number of influencing factories, the number of influencing shops, and the number of influencing roads, which are expected to be influenced, are obtained.
In addition to the first and second evaluation parameters, there are third evaluation parameters related to economic losses:
For example, the economic loss information is obtained according to a third evaluation parameter, wherein the economic loss information is one of evaluation parameters of the disaster entity, the third evaluation parameter is an evaluation parameter related to economic loss, and the third evaluation parameter comprises the number of damaged pipelines, the number of expected damaged pipelines, the number of influencing buildings, the number of influencing factories, the number of influencing markets and the number of influencing roads.
And according to each parameter in the third evaluation parameters, including the number of damaged pipelines, the number of expected damaged pipelines, the number of influencing buildings, the number of influencing factories, the number of influencing shops and the number of influencing roads, inquiring corresponding maintenance expenses, losses caused by production stoppage and the like in a large-capacity data storage server, and comprehensively estimating economic loss information.
In addition to the first, second and third evaluation parameters, the further evaluation parameters are influenced by the gas leakage itself:
by way of example, according to the leakage position of the gas pipeline, the number of resident households communicated with the gas pipeline is obtained in a GIS database, and the number of influencing resident households is obtained, wherein the number of influencing resident households is one of evaluation parameters of the disaster entity.
The evaluation parameter is the number of influencing resident houses, and the number of influencing resident houses is the number of resident houses directly influenced by the gas interruption.
In the embodiment of the application, different evaluation parameters are acquired through specific scenes so as to analyze whether the disaster entity is established or not.
According to the value of the evaluation parameter, a preset threshold corresponding to the evaluation parameter and a disaster entity corresponding to the evaluation parameter, whether the disaster entity is established or not can be confirmed; the preset threshold corresponding to all the evaluation parameters can be set to 0, and the corresponding disaster entity can be influenced as long as the preset threshold is generated;
The corresponding relation between the evaluation parameter and the disaster entity can be:
If an alarm occurs and a leakage position of the gas pipeline exists, the gas pipeline is broken, the environment pollution is met, the economic loss is met, and the living inconvenience is met;
if the number of the influence residents is greater than 0, the air supply interruption is established, and if the number of the influence residents is equal to 0, the air supply interruption is not established;
If the explosion risk probability is greater than 0, the fire explosion is established, and if the explosion risk probability is equal to 0, the fire explosion is not established;
If the number of the influence roads is greater than 0, the traffic jam is established, and if the number of the influence roads is equal to 0, the traffic jam is not established;
If the number of the influence buildings is greater than 0, building damage is established, and if the number of the influence buildings is equal to 0, building damage is not established;
If the number of the expected broken pipelines is greater than 0, other pipelines are broken, and if the number of the expected broken pipelines is equal to 0, other pipelines are broken;
If the number of the influencing factories is larger than 0, stopping production of the factories is established, and if the number of the influencing factories is equal to 0, stopping production of the factories is not established;
If the number of influencing markets is greater than 0, the commercial break is established, and if the number of influencing markets is equal to 0, the commercial break is not established;
If the number of pedestrians is greater than 0, the casualties are established, and if the number of pedestrians is equal to 0, the casualties are not established.
Confirming the establishment condition of the disaster entity according to the alarm condition, reserving the established disaster entity, and reserving a propagation chain between the established two disaster entities;
for example, in a certain alarm situation, the established gas pipeline leakage disaster chain is:
Gas pipeline rupture and environmental pollution;
gas line rupture, traffic congestion, and social impact;
gas line rupture, gas supply interruption, plant shut down, economic loss;
gas pipeline rupture, gas supply interruption, factory production stoppage, inconvenient life and social influence;
Gas line rupture, gas supply interruption, commercial break down, economic loss;
gas pipeline rupture, gas supply interruption, commercial break, inconvenient life and social influence;
Gas pipeline rupture, gas supply interruption, inconvenient life and social influence;
the impact of the leak can be listed according to the gas pipeline leak disaster chain to facilitate handling.
The application can realize the dynamic prediction of the gas leakage pipeline, the dynamic prediction is embodied in that the system can judge whether the gas leakage disaster entity is established or not through the factors such as the environment, facilities, people flow and the like around the alarm point, and accordingly, a disaster chain corresponding to the leakage point is generated, and the secondary disasters caused by the leakage points are different; and the manual trouble is avoided.
Fig. 5 is a diagram of a gas pipeline leakage disaster chain generating device according to an embodiment of the present invention, as shown in fig. 5, where the device includes: a building module 701, a first obtaining module 702, a second obtaining module 703 and a judging module 704;
The establishing module 701 is configured to establish a disaster knowledge graph of the gas pipeline according to an influence relationship between disaster entities of the gas pipeline.
A first obtaining module 702, configured to obtain a leakage position of the gas pipeline, obtain an influence radius of the leakage position, and obtain a number of pedestrians at the leakage position.
And a second obtaining module 703, configured to obtain an evaluation parameter value of the disaster entity according to the impact radius and the pedestrian number.
And a judging module 704, configured to confirm whether the disaster entity is established in the disaster knowledge graph according to the evaluation parameter value.
The application also provides a gas pipeline leakage disaster chain generation device, which comprises: at least one processor and memory;
The memory stores computer-executable instructions;
the at least one processor executes computer-executable instructions stored by the memory such that the at least one processor performs a gas pipeline leakage hazard chain generation method.
Fig. 6 is a hardware schematic diagram of a gas pipeline leakage disaster chain generating device according to an embodiment of the present invention. As shown in fig. 6, the gas pipeline leakage disaster chain generation apparatus 80 provided in the present embodiment includes: at least one processor 801 and a memory 802. The device 80 further comprises a communication component 803. The processor 801, the memory 802, and the communication section 803 are connected via a bus 804.
In a specific implementation process, the at least one processor 801 executes the computer-executable instructions stored in the memory 802, so that the at least one processor 801 executes the gas pipeline leakage disaster chain generation method as described above.
The specific implementation process of the processor 801 may refer to the above-mentioned method embodiment, and its implementation principle and technical effects are similar, and this embodiment will not be described herein again.
In the embodiment shown in fig. 6, it should be understood that the Processor may be a central processing unit (english: central Processing Unit, abbreviated as CPU), other general purpose processors, digital signal Processor (english: DIGITAL SIGNAL Processor, abbreviated as DSP), application-specific integrated Circuit (english: application SPECIFIC INTEGRATED Circuit, abbreviated as ASIC), and the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor for execution, or in a combination of hardware and software modules in a processor for execution.
The Memory may include high-speed Memory (Random Access Memory, RAM) or may further include Non-volatile Memory (NVM), such as at least one disk Memory.
The bus may be an industry standard architecture (Industry Standard Architecture, ISA) bus, an external device interconnect (PERIPHERAL COMPONENT, PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, among others. The buses may be divided into address buses, data buses, control buses, etc. For ease of illustration, the buses in the drawings of the present application are not limited to only one bus or to one type of bus.
The application also provides a computer readable storage medium, wherein the computer readable storage medium stores computer execution instructions, and when a processor executes the computer execution instructions, the gas pipeline leakage disaster chain generation method is realized.
The computer readable storage medium described above may be implemented by any type of volatile or non-volatile memory device or combination thereof, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk, or optical disk. A readable storage medium can be any available medium that can be accessed by a general purpose or special purpose computer.
An exemplary readable storage medium is coupled to the processor such the processor can read information from, and write information to, the readable storage medium. In the alternative, the readable storage medium may be integral to the processor. The processor and the readable storage medium may reside in an Application SPECIFIC INTEGRATED Circuits (ASIC). The processor and the readable storage medium may reside as discrete components in a device.
The division of the units is merely a logic function division, and there may be another division manner when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the method embodiments described above may be performed by hardware associated with program instructions. The foregoing program may be stored in a computer readable storage medium. The program, when executed, performs steps including the method embodiments described above; and the aforementioned storage medium includes: various media that can store program code, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: other embodiments of the invention will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This invention is intended to cover any adaptations, uses, or adaptations of the invention following, in general, the principles of the invention and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains and as may be applied to the precise construction hereinbefore set forth and shown in the drawings and as follows in the scope of the appended claims. The scope of the invention is limited only by the appended claims.
Claims (9)
1. The method for generating the leakage disaster chain of the gas pipeline is characterized by comprising the following steps of:
Establishing a disaster knowledge graph of the gas pipeline according to the influence relation between disaster entities of the gas pipeline;
acquiring a leakage position of the gas pipeline, acquiring an influence radius of the leakage position, and acquiring the number of pedestrians at the leakage position;
Acquiring an evaluation parameter value of the disaster entity according to the influence radius and the pedestrian number;
confirming whether the disaster entity is established in the disaster knowledge graph according to the evaluation parameter value;
The step of obtaining the evaluation parameter value of the disaster entity according to the influence radius and the pedestrian number comprises the following steps:
If the evaluation parameter type of the disaster entity is related to the influence radius, confirming the influence radius type influencing the evaluation parameter;
Acquiring an evaluation parameter value of the disaster entity according to the influence radius type and the quantity of the influence radius types;
And if the evaluation parameter type of the disaster entity is related to the pedestrian number, acquiring an evaluation parameter value of the disaster entity according to the pedestrian number and the ignition influence coefficient.
2. The gas pipeline leakage disaster chain generation method according to claim 1, wherein the obtaining the influence radius of the leakage position comprises:
Obtaining the damage radius of the broken piece at the leakage position according to the volume of the inspection well at the leakage position;
Acquiring an overpressure injury radius of the leakage position according to TNT equivalent mass corresponding to the explosion of the inspection well at the leakage position;
acquiring a potential influence radius of the leakage position according to the outer diameter of the gas pipeline at the leakage position;
wherein the fragment injury radius, the overpressure injury radius, and the potential impact radius are of different impact radius types.
3. The gas pipeline leakage disaster chain generation method according to claim 2, wherein if the evaluation parameter type of the disaster entity is related to the influence radius and the number of the influence radius types is one, the method further comprises:
Confirming that the evaluation parameter type of the disaster entity is a first evaluation parameter, and acquiring the value of the first evaluation parameter according to the radius range corresponding to the influence radius type; wherein the first evaluation parameter includes a predicted number of damaged pipelines and an impact population;
If the evaluation parameter type of the disaster entity is related to the influence radius and the number of the influence radius types is a plurality of, the method further comprises:
confirming that the evaluation parameter type of the disaster entity is a second evaluation parameter, and acquiring the value of the second evaluation parameter according to the radius range corresponding to the maximum radius type in the influence radius types; wherein the second evaluation parameters include influence on the number of buildings, influence on the number of factories, influence on the number of markets, influence on the number of roads.
4. A gas pipeline leakage disaster chain generation method according to claim 3, wherein the method of obtaining the evaluation parameter value of the disaster entity further comprises:
And acquiring economic loss information according to a third evaluation parameter, wherein the economic loss information is one of evaluation parameters of the disaster entity, the third evaluation parameter is an evaluation parameter related to economic loss, and the third evaluation parameter comprises the number of damaged pipelines, the number of expected damaged pipelines, the number of influencing buildings, the number of influencing factories, the number of influencing markets and the number of influencing roads.
5. A gas pipeline leakage disaster chain generation method according to claim 3, wherein the method of obtaining the evaluation parameter value of the disaster entity further comprises:
And acquiring the number of resident households communicated with the gas pipeline in a GIS database according to the leakage position of the gas pipeline to obtain the number of influencing resident households, wherein the number of influencing resident households is one of evaluation parameters of the disaster entity.
6. The gas pipeline leakage disaster chain generation method according to claim 1, wherein said confirming whether the disaster entity is established in the disaster knowledge graph according to the evaluation parameter value comprises:
And confirming whether the evaluation parameter values related to the disaster entities exceed a preset threshold value or not, and if so, confirming that the disaster entities corresponding to the evaluation parameter values are established, wherein each disaster entity is related to at least one evaluation parameter value.
7. A gas pipeline leakage disaster chain generation device, comprising:
The building module is used for building a disaster knowledge graph of the gas pipeline according to the influence relation among disaster entities of the gas pipeline;
The first acquisition module is used for acquiring the leakage position of the gas pipeline, acquiring the influence radius of the leakage position and acquiring the number of pedestrians at the leakage position;
The second acquisition module is used for acquiring the evaluation parameter value of the disaster entity according to the influence radius and the pedestrian number;
the judging module is used for confirming whether the disaster entity is established in the disaster knowledge graph according to the evaluation parameter value;
The second obtaining module is specifically configured to determine an impact radius type that affects the evaluation parameter if the evaluation parameter type of the disaster entity is related to the impact radius; acquiring an evaluation parameter value of the disaster entity according to the influence radius type and the quantity of the influence radius types; and if the evaluation parameter type of the disaster entity is related to the pedestrian number, acquiring an evaluation parameter value of the disaster entity according to the pedestrian number and the ignition influence coefficient.
8. A gas pipeline leakage disaster chain generation device, comprising: at least one processor and memory;
The memory stores computer-executable instructions;
The at least one processor executing computer-executable instructions stored in the memory, causing the at least one processor to perform the gas pipeline leakage disaster chain generation method of any one of claims 1-6.
9. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the gas pipeline leakage disaster chain generation method according to any one of claims 1-6.
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