Pipeline risk disposal method and device, electronic equipment and readable storage medium

Abstract

The embodiment of the invention provides a pipeline risk disposal method and device, electronic equipment and a readable storage medium, and the method comprises the steps: obtaining target pipeline data corresponding to a target pipeline and determining a target risk type corresponding to the target pipeline under the condition of monitoring that the target pipeline has a safety risk; determining a target risk level corresponding to the target pipeline based on the pipeline design data, the pipeline construction data, the pipeline operation data and the pipeline maintenance data; and based on the target risk type and the target risk level, determining a pipeline risk disposal scheme for the target pipeline and a target push object. In this way, the pipeline risk disposal scheme can be quickly and effectively determined for the safety risk, and the emergency response time is shortened. And a scientific decision basis can be provided from two dimensions of risk types and risk levels, emergency resources are reasonably allocated, and the safety risk emergency disposal level and the decision accuracy of a pipeline risk disposal scheme are improved.

Description

Technical Field

[0001] The present invention relates to the field of gas safety technology, and in particular to a pipeline risk management method, device, electronic equipment and readable storage medium. Background Art

[0002] With the acceleration of industrialization, pipeline safety risk monitoring has become an increasingly important part of ensuring production safety. However, in actual operations, when relevant emergency plans are processed according to safety risk prompts, the processing plans are often determined manually, and there are many problems in this process.

[0003] On the one hand, manual judgment may be limited by personal experience and knowledge, resulting in inaccurate plans and difficulty in effectively responding to complex and changing safety risks; on the other hand, manual decision-making takes a long time and may delay the best time to deal with accidents, increasing the probability and degree of harm of accidents. Therefore, how to quickly and accurately determine risk emergency plans has become an urgent problem to be solved. Summary of the invention

[0004] In order to overcome the problems existing in the related art, the present invention provides a pipeline risk management method, device, electronic equipment and readable storage medium.

[0005] In a first aspect, the present invention provides a pipeline risk management method, the method comprising:

[0006] In the case where a safety risk is detected in a target pipeline, target pipeline data corresponding to the target pipeline is obtained and a target risk type corresponding to the target pipeline is determined; the target pipeline data includes pipeline design data, pipeline construction data, pipeline operation data and pipeline maintenance data;

[0007] Determining a target risk level corresponding to the target pipeline based on the pipeline design data, the pipeline construction data, the pipeline operation data, and the pipeline maintenance data;

[0008] Based on the target risk type and the target risk level, a pipeline risk disposal plan for the target pipeline and a target push object are determined.

[0009] Optionally, the method further comprises:

[0010] Pushing the pipeline risk treatment plan to the target push object and executing the pipeline risk treatment plan;

[0011] Obtaining feedback information from the target push object regarding the pipeline risk treatment plan; the feedback information includes plan optimization suggestions and plan evaluation information;

[0012] The pipeline risk treatment plan is optimized based on the plan optimization suggestion, and a plan score corresponding to the pipeline risk treatment plan is determined based on the plan evaluation information.

[0013] Optionally, determining a pipeline risk treatment plan and a target push object for the target pipeline based on the target risk type and the target risk level includes:

[0014] Based on a plurality of risk treatment schemes corresponding to the target risk type, determining the pipeline risk treatment scheme corresponding to the target risk level; the plurality of risk treatment schemes include different risk treatment schemes corresponding to different risk levels;

[0015] The target push object is determined based on the target risk level and the risk push objects corresponding to different risk levels.

[0016] Optionally, determining a target risk level corresponding to the target pipeline based on the pipeline design data, the pipeline construction data, the pipeline operation data, and the pipeline maintenance data includes:

[0017] Determine a pipeline design score, a pipeline construction score, a pipeline operation score, and a pipeline maintenance score based on the pipeline design data, the pipeline construction data, the pipeline operation data, and the pipeline maintenance data;

[0018] Calculating a pipeline risk value corresponding to the target pipeline based on the pipeline design score, the pipeline construction score, the pipeline operation score, and the pipeline maintenance score;

[0019] Based on the pipeline risk value and a preset risk classification threshold, a target risk level corresponding to the target pipeline is determined.

[0020] Optionally, the method further comprises:

[0021] In a case where the pipeline design score, the pipeline construction score, the pipeline operation score and / or the pipeline maintenance score are less than a preset threshold, a target risk factor is determined based on the pipeline design score, the pipeline construction score, the pipeline operation score and / or the pipeline maintenance score that are less than the preset threshold.

[0022] Optionally, the determining the pipeline risk treatment scheme corresponding to the target risk level based on the multiple risk treatment schemes corresponding to the target risk type includes:

[0023] Based on a plurality of risk treatment solutions corresponding to the target risk type, the pipeline risk treatment solution corresponding to the target risk level and the target risk factor is determined.

[0024] Optionally, the pipeline design data includes the design service life, pipeline specifications, wall thickness, material and pipeline design standards corresponding to the target pipeline, and the pipeline design standards are determined based on the installation environment of the target pipeline;

[0025] The pipeline construction data includes data corresponding to the entire process of construction and acceptance of the target pipeline;

[0026] The pipeline operation data includes inspection-related data and abnormality handling data corresponding to the target pipeline;

[0027] The pipeline maintenance data includes relevant data corresponding to the pipeline maintenance operation and aging assessment operation performed on the target pipeline.

[0028] In a second aspect, the present invention provides a pipeline risk management device, the device comprising:

[0029] A first acquisition module is used to acquire target pipeline data corresponding to the target pipeline and determine the target risk type corresponding to the target pipeline when a safety risk is detected in the target pipeline; the target pipeline data includes pipeline design data, pipeline construction data, pipeline operation data and pipeline maintenance data;

[0030] A first determination module, configured to determine a target risk level corresponding to the target pipeline based on the pipeline design data, the pipeline construction data, the pipeline operation data, and the pipeline maintenance data;

[0031] The second determination module is used to determine the pipeline risk treatment plan and the target push object for the target pipeline based on the target risk type and the target risk level.

[0032] Optionally, the device further comprises:

[0033] A first push module, used to push the pipeline risk treatment plan to the target push object and execute the pipeline risk treatment plan;

[0034] The second acquisition module is used to obtain feedback information from the target push object regarding the pipeline risk treatment plan; the feedback information includes plan optimization suggestions and plan evaluation information;

[0035] The first optimization module is used to optimize the pipeline risk treatment plan based on the plan optimization suggestion, and determine the plan score corresponding to the pipeline risk treatment plan based on the plan evaluation information.

[0036] Optionally, the second determining module includes:

[0037] A first determination submodule is used to determine the pipeline risk treatment scheme corresponding to the target risk level based on a plurality of risk treatment schemes corresponding to the target risk type; the plurality of risk treatment schemes include different risk treatment schemes corresponding to different risk levels;

[0038] The second determination submodule is used to determine the target push object based on the target risk level and the risk push objects corresponding to different risk levels.

[0039] Optionally, the first determining module includes:

[0040] A third determination submodule, configured to determine a pipeline design score, a pipeline construction score, a pipeline operation score, and a pipeline maintenance score based on the pipeline design data, the pipeline construction data, the pipeline operation data, and the pipeline maintenance data;

[0041] A first calculation module, configured to calculate a pipeline risk value corresponding to the target pipeline based on the pipeline design score, the pipeline construction score, the pipeline operation score, and the pipeline maintenance score;

[0042] The fourth determination submodule is used to determine a target risk level corresponding to the target pipeline based on the pipeline risk value and a preset risk classification threshold.

[0043] Optionally, the device further comprises:

[0044] The third determination module is used to determine the target risk factor based on the pipeline design score, the pipeline construction score, the pipeline operation score and / or the pipeline maintenance score that are less than the preset threshold value when the pipeline design score, the pipeline construction score, the pipeline operation score and / or the pipeline maintenance score are less than the preset threshold value.

[0045] Optionally, the first determining submodule includes:

[0046] The fifth determination submodule is used to determine the pipeline risk treatment scheme corresponding to the target risk level and the target risk factor based on multiple risk treatment schemes corresponding to the target risk type.

[0047] Optionally, the pipeline design data includes the design service life, pipeline specifications, wall thickness, material and pipeline design standards corresponding to the target pipeline, and the pipeline design standards are determined based on the installation environment of the target pipeline;

[0048] The pipeline construction data includes data corresponding to the entire process of construction and acceptance of the target pipeline;

[0049] The pipeline operation data includes inspection-related data and abnormality handling data corresponding to the target pipeline;

[0050] The pipeline maintenance data includes relevant data corresponding to the pipeline maintenance operation and aging assessment operation performed on the target pipeline.

[0051] In a third aspect, the present invention provides an electronic device, comprising: a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the pipeline risk management method described in any one of the first aspects is implemented.

[0052] In a fourth aspect, the present invention provides a readable storage medium. When the instructions in the storage medium are executed by a processor of an electronic device, the electronic device can execute the steps in the pipeline risk management method in any one of the embodiments of the first aspect above.

[0053] In an embodiment of the present invention, when it is detected that there is a safety risk in the target pipeline, the target pipeline data corresponding to the target pipeline is obtained and the target risk type corresponding to the target pipeline is determined; the target pipeline data includes pipeline design data, pipeline construction data, pipeline operation data and pipeline maintenance data; based on the pipeline design data, pipeline construction data, pipeline operation data and pipeline maintenance data, the target risk level corresponding to the target pipeline is determined; based on the target risk type and the target risk level, the pipeline risk disposal plan for the target pipeline and the target push object are determined. In this way, by intelligently analyzing the risk in real time, the corresponding pipeline risk disposal plan is determined according to the target risk level and the target risk type. Compared with manually determining the disposal plan, the pipeline risk disposal plan can be quickly and effectively determined for the safety risk, shortening the emergency response time. At the same time, by comprehensively analyzing the risk factors, a scientific decision-making basis can be provided from the two dimensions of risk type and risk level, emergency resources can be reasonably allocated, resource waste can be avoided, the level of emergency disposal of safety risks can be improved, and the decision-making risk can be reduced, and the decision accuracy of the pipeline risk disposal plan can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0055] Figure 1 It is a flow chart of the steps of a pipeline risk treatment method provided by an embodiment of the present invention;

[0056] Figure 2 It is a structural diagram of a pipeline risk treatment device provided by an embodiment of the present invention;

[0057] Figure 3 It is a structural diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0058] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0059] Figure 1 is a flow chart of the steps of a pipeline risk management method provided by an embodiment of the present invention, such as Figure 1 As shown, the method may include:

[0060] Step 101: When a target pipeline is detected to have a safety risk, target pipeline data corresponding to the target pipeline is obtained and a target risk type corresponding to the target pipeline is determined; the target pipeline data includes pipeline design data, pipeline construction data, pipeline operation data, and pipeline maintenance data.

[0061] In an embodiment of the present invention, the pipeline is monitored for safety in real time, and when a safety risk is detected in the target pipeline, target pipeline data corresponding to the target pipeline is obtained. The target pipeline data can be obtained based on a data acquisition device deployed for the target pipeline, or based on recorded data of the full cycle process of the target pipeline. The target pipeline data may include pipeline design data, pipeline construction data, pipeline operation data, and pipeline maintenance data.

[0062] Pipeline design data refers to the data recorded during the pipeline design process, including the design service life, pipeline specifications, wall thickness, material and pipeline design standards of the target pipeline. The pipeline design standards are determined based on the target pipeline's laying environment. For example, the installation of commercial gas equipment should meet the requirements of operation and maintenance. The net distance between gas appliances and stoves should not be less than 0.5m, the net distance between large pots and stoves should not be less than 0.8m, and the net distance between ovens and other gas appliances and stoves should not be less than 1m. Discharge pipes should be installed on the gas pipelines of industrial enterprises' gas workshops, boiler rooms and large and medium-sized gas equipment. The equipment should not be placed in basements, semi-basements or poorly ventilated places. When it is necessary to set up in special circumstances, mechanical ventilation and corresponding fire and explosion safety measures should be provided.

[0063] Pipeline construction data includes data corresponding to the entire process of construction and acceptance of the target pipeline, such as material on-site acceptance, burial depth, backfill records, purging, tightness test, pressure test, anti-corrosion installation, completion acceptance and other related data.

[0064] Pipeline operation data includes inspection-related data and exception handling data corresponding to the target pipeline, such as inspection records, repair and maintenance records, third-party construction supervision records, inspection cycle, inspection time, inspection location (scope), abnormal situations, handling methods and recorders, etc., records of handling violations and dangerous situations, monitoring records of gas pipelines in cooperation with other urban construction projects (including pipe positions, slope protection and other protection measures), and gas pipeline network operating pressure records.

[0065] The pipeline maintenance data includes the pipeline maintenance operations performed on the target pipeline and the relevant data corresponding to the aging assessment operations. For example, it may include data on the inspection, replacement, and modification of gas pipelines, including aging assessments of gas pipelines, such as the operating years of municipal pipelines and courtyard pipelines, and the length and type of gas pipelines, such as PE200 pipes, PE160-PE63 pipes, etc.

[0066] Determine the target risk type corresponding to the target pipeline. The target risk type can be determined based on whether there is an abnormality in the target pipeline data, or it can be determined based on the real-time feedback of relevant personnel on the target pipe section. The target risk types may include: pipeline leakage type, pipeline corrosion type, pipeline fire type, pipeline explosion type, etc. Exemplarily, the method for determining the type based on whether there is an abnormality in the target pipeline data may include: pre-setting abnormal data conditions corresponding to different risk types, and determining the target risk type to be the risk type when the target pipeline data meets the abnormal data conditions. For example, if the pipeline operating pressure value in the target pipeline data is less than the preset pressure value, that is, it meets the abnormal data condition, then the target risk type can be determined to be a pipeline leakage type. It can be understood that the abnormal data conditions corresponding to different risk types can be set according to actual needs, and the embodiments of the present invention do not limit this.

[0067] Step 102: Determine a target risk level corresponding to the target pipeline based on the pipeline design data, the pipeline construction data, the pipeline operation data, and the pipeline maintenance data.

[0068] In an embodiment of the present invention, the target risk level corresponding to the target pipeline is determined based on pipeline design data, pipeline construction data, pipeline operation data, and pipeline maintenance data. The risk level can be divided according to demand, for example, it can include high risk, medium risk, and low risk; it can also include high risk, relatively high risk, general risk, and low risk. Among them, low risk indicates that the risk level is acceptable, and general countermeasures can be taken, and no additional technical or management countermeasures are required. General risk indicates that the risk level is conditionally acceptable, and it is necessary to take further countermeasures to improve safety. Higher risk indicates that the risk level is unacceptable, and effective countermeasures must be taken to reduce the risk level to general risk and below. High risk indicates that the risk level is unacceptable, and failure to deal with it in a timely and effective manner will bring more serious consequences. Effective countermeasures must be taken to reduce the risk level to general risk and below.

[0069] Optionally, step 102 may include the following steps:

[0070] Step 201: Determine a pipeline design score, a pipeline construction score, a pipeline operation score, and a pipeline maintenance score based on the pipeline design data, the pipeline construction data, the pipeline operation data, and the pipeline maintenance data.

[0071] In an embodiment of the present invention, a pipeline design score is determined based on pipeline design data, a pipeline construction score is determined based on pipeline construction data, a pipeline operation score is determined based on pipeline operation data, and a pipeline maintenance score is determined based on pipeline maintenance data. Exemplarily, based on the different data items collected, each data item can be quantified based on preset rules, and the pipeline design score, pipeline construction score, pipeline operation score, and pipeline maintenance score can be obtained by calculation. For example, for the pipeline design score, a score can be given according to the design working life, pipeline specifications, wall thickness, material, and pipeline design standards corresponding to the target pipeline, and multiple scores can be added together to obtain the pipeline design score. Among them, the rules for quantifying different data items can be set according to the actual development situation, and the embodiment of the present invention does not limit this.

[0072] Step 202: Calculate the pipeline risk value corresponding to the target pipeline based on the pipeline design score, the pipeline construction score, the pipeline operation score, and the pipeline maintenance score.

[0073] In the embodiment of the present invention, the pipeline design score, pipeline construction score, pipeline operation score and pipeline maintenance score can be added together to obtain a value as the pipeline risk value corresponding to the target pipeline. It can be understood that the correlation (positive correlation or negative correlation) between the pipeline risk value and the risk degree is different according to the different rules for quantifying different data items, and can be specifically judged according to the actual situation.

[0074] Step 203: Determine a target risk level corresponding to the target pipeline based on the pipeline risk value and a preset risk classification threshold.

[0075] In the embodiment of the present invention, preset risk classification thresholds are set for different risk levels in advance, and the risk classification threshold to which the pipeline risk value belongs is determined according to the pipeline risk value, and then the corresponding risk level is determined as the target risk level.

[0076] In the embodiment of the present invention, the scores corresponding to different dimensions are calculated, and the pipeline risk value corresponding to the target pipeline is determined based on the multi-dimensional scores, and then the target risk level is determined based on the pipeline risk value. In this way, the risk level represented by the pipeline risk value indicator can be more comprehensive and closer to the actual risk situation of the target pipeline, which improves the comprehensiveness and accuracy of the pipeline risk value to a certain extent.

[0077] Step 103: Based on the target risk type and the target risk level, determine a pipeline risk treatment plan for the target pipeline and a target push object.

[0078] In the embodiment of the present invention, risk treatment plans corresponding to different risk levels are preset for different risk types. That is, risk treatment plans for different risk levels are preset under each risk type. For example, the pipeline leakage type includes risk treatment plans corresponding to high risk, medium risk and low risk.

[0079] Optionally, step 103 may include the following steps:

[0080] Step 301: Determine the pipeline risk treatment plan corresponding to the target risk level based on a plurality of risk treatment plans corresponding to the target risk type; the plurality of risk treatment plans include different risk treatment plans corresponding to different risk levels.

[0081] In the embodiment of the present invention, different risk types correspond to multiple risk treatment plans, and the multiple risk treatment plans under any risk type include different risk treatment plans corresponding to different risk levels. Assuming that the risk of pipeline leakage corresponds to high risk, medium risk and low risk, the risk treatment plans are risk treatment plan 1, risk treatment plan 2 and risk treatment plan 3, respectively, then risk treatment plan 1 is a treatment plan for high-risk pipeline leakage, risk treatment plan 2 is a treatment plan for medium-risk pipeline leakage, and risk treatment plan 3 is a treatment plan for low-risk pipeline leakage.

[0082] Based on multiple risk treatment plans corresponding to the target risk type, a risk treatment plan corresponding to the target risk level is obtained and determined as the pipeline risk treatment plan.

[0083] Step 302: Determine the target push object based on the target risk level and risk push objects corresponding to different risk levels.

[0084] In an embodiment of the present invention, when handling safety risks, different push objects will be involved for safety risks of different risk levels. Exemplarily, the risk push object can be set as maintenance personnel for low risk levels, the risk push object can be set as the first person responsible for safety and maintenance personnel for medium risk levels, and the risk push object can be set as maintenance personnel, the first person responsible for safety and relevant leadership levels for high risk levels. Based on the target risk level, the risk push object corresponding to the target risk level is determined as the target push object among the risk push objects corresponding to different risk levels.

[0085] In the embodiment of the present invention, by setting different risk treatment plans and risk push objects for different risk levels, it is possible to flexibly select appropriate treatment plans and push objects according to the severity of the risk, and provide accurate pipeline risk treatment plans and target push objects while ensuring the effectiveness of risk treatment.

[0086] In a possible implementation, the risk level can be further divided. When a pipeline has a safety risk, there may be a main inducement that causes the safety risk. The main inducement will vary according to the actual situation, and different inducements may lead to the same type of safety risk. Therefore, different inducements can be used as risk factors to further divide the risk level. Under each risk level, risk treatment plans for different risk factors are pre-set.

[0087] Optionally, after step 203, the embodiment of the present invention may further include:

[0088] Step 401: in a case where the pipeline design score, the pipeline construction score, the pipeline operation score and / or the pipeline maintenance score are less than a preset threshold, a target risk factor is determined based on the pipeline design score, the pipeline construction score, the pipeline operation score and / or the pipeline maintenance score that are less than the preset threshold.

[0089] In an embodiment of the present invention, different scores can represent different evaluation dimensions. When the score under any evaluation dimension is low, it means that a certain factor under the evaluation dimension may be a risk factor causing safety risks. For example, if the pipeline design dimension score corresponding to the pipeline design score is low, it may be that the inherent factors of the pipeline body cause safety risks, so the inherent factors of the pipeline body can be set as the risk factors corresponding to the pipeline design dimension; if the pipeline construction score corresponds to the pipeline construction dimension score is low, it may be that third-party damage causes safety risks, so third-party damage can be set as the risk factor corresponding to the pipeline construction dimension; if the pipeline operation score corresponds to the pipeline operation dimension score is low, it may be that safety risks are caused by operational errors, so operational errors can be set as the risk factors corresponding to the pipeline operation dimension; if the pipeline maintenance score corresponds to the pipeline maintenance dimension score is low, it may be that safety risks are caused by pipeline corrosion or the pipeline laying environment, so pipeline corrosion or the pipeline laying environment can be set as the risk factors corresponding to the pipeline maintenance dimension.

[0090] A preset threshold is set for each evaluation dimension in advance. After the pipeline risk value is determined based on the pipeline design score, pipeline construction score, pipeline operation score, and pipeline maintenance score, and then the target risk level is determined, the score corresponding to each evaluation dimension is further compared with the corresponding preset threshold. If one or more of the pipeline design score, pipeline construction score, pipeline operation score, and pipeline maintenance score are equal and less than the preset threshold, it means that at least one risk factor that causes the target pipeline to have a safety risk can be determined. Specifically, based on the pipeline design score, pipeline construction score, pipeline operation score, and / or pipeline maintenance score that are less than the preset threshold, the evaluation dimension corresponding to the score is determined, and the target risk factor is determined based on the risk factor corresponding to the evaluation dimension.

[0091] In a possible implementation, when the pipeline design score, pipeline construction score, pipeline operation score, and pipeline maintenance score are all greater than or equal to the preset threshold, it indicates that the risk factors that cause the safety risk cannot be determined at present. Therefore, under the premise that the target risk type and target risk level have been determined, the risk treatment plan with the highest output times or the highest scheme score is selected from the multiple risk treatment plans corresponding to the target risk level under the target risk type (risk treatment plans corresponding to different risk factors) as the pipeline risk treatment plan. Wherein, each time a risk treatment plan is determined as a pipeline risk treatment file, the output times corresponding to the risk treatment plan increase by one.

[0092] Optionally, step 301 may include the following steps:

[0093] Step 402: Based on a plurality of risk treatment solutions corresponding to the target risk type, determine the pipeline risk treatment solution corresponding to the target risk level and the target risk factor.

[0094] In an embodiment of the present invention, for each risk level under any risk type, the risk level is further refined, and corresponding risk treatment plans are set for different risk factors under the risk level. Exemplarily, assuming that the risk of pipeline leakage corresponds to high risk, medium risk and low risk, for the high risk level, corresponding risk treatment plans are further set based on four risk factors (inherent factors of the pipeline body, third-party damage, operational errors, and pipeline corrosion or pipeline installation environment), namely, risk treatment plan 1, risk treatment plan 2, risk treatment plan 3, and risk treatment plan 4. Then, risk treatment plan 1 is a treatment plan for high-risk pipeline leakage caused by inherent factors of the pipeline body, risk treatment plan 2 is a treatment plan for high-risk pipeline leakage caused by third-party damage, risk treatment plan 3 is a treatment plan for high-risk pipeline leakage caused by operational errors, and risk treatment plan 4 is a treatment plan for high-risk pipeline leakage caused by pipeline corrosion or pipeline installation environment.

[0095] After determining multiple risk treatment plans corresponding to the target risk type, the multiple risk treatment plans include risk treatment plans corresponding to each risk factor included in each risk level, and the corresponding pipeline risk treatment plan is determined based on the target risk type, target risk level and target risk factor.

[0096] In the embodiment of the present invention, by further dividing different risk factors under risk levels, the target risk factors that cause the safety risk of the target pipeline can be determined, which not only provides the severity of the risk, but also clarifies the risk factors that cause the safety risk, and provides effective and comprehensive information for the effective disposal of the safety risk. At the same time, based on the target risk type, target risk level and target risk factor, the pipeline risk disposal plan determined can more effectively dispose of the safety risk of the target pipeline to a certain extent, thereby improving the risk disposal effect.

[0097] In summary, in the embodiment of the present invention, when the target pipeline is monitored to have a safety risk, the target pipeline data corresponding to the target pipeline is obtained and the target risk type corresponding to the target pipeline is determined; the target pipeline data includes pipeline design data, pipeline construction data, pipeline operation data and pipeline maintenance data; based on the pipeline design data, pipeline construction data, pipeline operation data and pipeline maintenance data, the target risk level corresponding to the target pipeline is determined; based on the target risk type and the target risk level, the pipeline risk disposal plan for the target pipeline and the target push object are determined. In this way, by intelligently analyzing the risk in real time, the corresponding pipeline risk disposal plan is determined according to the target risk level and the target risk type. Compared with manually determining the disposal plan, the pipeline risk disposal plan can be quickly and effectively determined for the safety risk, shortening the emergency response time. At the same time, it can provide a scientific decision-making basis from the two dimensions of risk type and risk level by comprehensively analyzing the risk factors, reasonably allocate emergency resources, avoid resource waste, improve the level of emergency disposal of safety risks, reduce decision-making risks, and improve the decision accuracy of pipeline risk disposal plans.

[0098] Optionally, the embodiment of the present invention may further include the following steps:

[0099] Step 501: Push the pipeline risk treatment plan to the target push object, and execute the pipeline risk treatment plan.

[0100] In an embodiment of the present invention, after determining the pipeline risk treatment plan and the target push object, the pipeline risk treatment plan is pushed to the target push object, and the target push object performs relevant processing on the target pipeline according to the pipeline risk treatment plan.

[0101] Step 502: Obtain feedback information from the target push object regarding the pipeline risk treatment plan; the feedback information includes plan optimization suggestions and plan evaluation information.

[0102] In an embodiment of the present invention, after the target push object executes the pipeline risk treatment plan, feedback information can be sent according to the execution process and the effect after the risk treatment. The feedback information may include solution optimization suggestions and solution evaluation information. For example, the solution optimization suggestions may include suggestions to add, delete or adjust the content in the pipeline risk treatment plan, and the solution evaluation suggestions may include evaluation suggestions of the target push object on the score of the pipeline risk treatment plan.

[0103] Step 503: Optimize the pipeline risk treatment plan based on the plan optimization suggestion, and determine a plan score corresponding to the pipeline risk treatment plan based on the plan evaluation information.

[0104] In an embodiment of the present invention, the pipeline risk treatment is optimized based on the solution optimization suggestion, and the solution score corresponding to the pipeline risk treatment solution is determined based on the solution evaluation information. The solution score corresponding to the pipeline risk treatment solution is determined based on the historical solution evaluation information corresponding to the pipeline risk treatment solution.

[0105] In the embodiment of the present invention, by obtaining feedback information of the target push object on the pipeline risk treatment plan, the pipeline risk treatment plan is optimized, and the plan can be optimized and improved in combination with field experience to improve the treatment effect and practicality of the pipeline risk treatment plan.

[0106] Figure 2 is a schematic diagram of the structure of a pipeline risk treatment device provided by an embodiment of the present invention, such as Figure 2 As shown, the device may specifically include:

[0107] The first acquisition module 601 is used to acquire target pipeline data corresponding to the target pipeline and determine the target risk type corresponding to the target pipeline when a safety risk is detected in the target pipeline; the target pipeline data includes pipeline design data, pipeline construction data, pipeline operation data and pipeline maintenance data;

[0108] A first determination module 602 is used to determine a target risk level corresponding to the target pipeline based on the pipeline design data, the pipeline construction data, the pipeline operation data and the pipeline maintenance data;

[0109] The second determination module 603 is used to determine the pipeline risk treatment plan and the target push object for the target pipeline based on the target risk type and the target risk level.

[0110] The embodiment of the present invention provides a pipeline risk disposal device. When the target pipeline is monitored to have a safety risk, the target pipeline data corresponding to the target pipeline is obtained and the target risk type corresponding to the target pipeline is determined; the target pipeline data includes pipeline design data, pipeline construction data, pipeline operation data and pipeline maintenance data; based on the pipeline design data, pipeline construction data, pipeline operation data and pipeline maintenance data, the target risk level corresponding to the target pipeline is determined; based on the target risk type and the target risk level, the pipeline risk disposal scheme for the target pipeline and the target push object are determined. In this way, by intelligently analyzing the risk in real time, the corresponding pipeline risk disposal scheme is determined according to the target risk level and the target risk type. Compared with manually determining the disposal scheme, the pipeline risk disposal scheme can be quickly and effectively determined for the safety risk, shortening the emergency response time. At the same time, by comprehensively analyzing the risk factors, a scientific decision-making basis can be provided from the two dimensions of risk type and risk level, emergency resources can be reasonably allocated, resource waste can be avoided, the level of emergency disposal of safety risks can be improved, and the decision-making risk can be reduced, and the decision-making accuracy of the pipeline risk disposal scheme can be improved.

[0111] Optionally, the device further comprises:

[0112] A first push module, used to push the pipeline risk treatment plan to the target push object and execute the pipeline risk treatment plan;

[0113] The second acquisition module is used to obtain feedback information from the target push object regarding the pipeline risk treatment plan; the feedback information includes plan optimization suggestions and plan evaluation information;

[0114] The first optimization module is used to optimize the pipeline risk treatment plan based on the plan optimization suggestion, and determine the plan score corresponding to the pipeline risk treatment plan based on the plan evaluation information.

[0115] Optionally, the second determining module 603 includes:

[0116] A first determination submodule is used to determine the pipeline risk treatment scheme corresponding to the target risk level based on a plurality of risk treatment schemes corresponding to the target risk type; the plurality of risk treatment schemes include different risk treatment schemes corresponding to different risk levels;

[0117] The second determination submodule is used to determine the target push object based on the target risk level and the risk push objects corresponding to different risk levels.

[0118] Optionally, the first determining module 602 includes:

[0119] A third determination submodule, configured to determine a pipeline design score, a pipeline construction score, a pipeline operation score, and a pipeline maintenance score based on the pipeline design data, the pipeline construction data, the pipeline operation data, and the pipeline maintenance data;

[0120] A first calculation module, configured to calculate a pipeline risk value corresponding to the target pipeline based on the pipeline design score, the pipeline construction score, the pipeline operation score, and the pipeline maintenance score;

[0121] The fourth determination submodule is used to determine a target risk level corresponding to the target pipeline based on the pipeline risk value and a preset risk classification threshold.

[0122] Optionally, the device further comprises:

[0123] The third determination module is used to determine the target risk factor based on the pipeline design score, the pipeline construction score, the pipeline operation score and / or the pipeline maintenance score that are less than the preset threshold value when the pipeline design score, the pipeline construction score, the pipeline operation score and / or the pipeline maintenance score are less than the preset threshold value.

[0124] Optionally, the first determining submodule includes:

[0125] The fifth determination submodule is used to determine the pipeline risk treatment scheme corresponding to the target risk level and the target risk factor based on multiple risk treatment schemes corresponding to the target risk type.

[0126] Optionally, the pipeline design data includes the design service life, pipeline specifications, wall thickness, material and pipeline design standards corresponding to the target pipeline, and the pipeline design standards are determined based on the installation environment of the target pipeline;

[0127] The pipeline construction data includes data corresponding to the entire process of construction and acceptance of the target pipeline;

[0128] The pipeline operation data includes inspection-related data and abnormality handling data corresponding to the target pipeline;

[0129] The pipeline maintenance data includes relevant data corresponding to the pipeline maintenance operation and aging assessment operation performed on the target pipeline.

[0130] The present invention also provides an electronic device, see Figure 3 , including: a processor 701, a memory 702, and a computer program 7021 stored in the memory and executable on the processor, wherein the pipeline risk management method of the aforementioned embodiment is implemented when the processor executes the program.

[0131] The present invention also provides a readable storage medium. When the instructions in the storage medium are executed by a processor of an electronic device, the electronic device can execute the pipeline risk management method of the aforementioned embodiment.

[0132] As for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0133] The algorithm and display provided herein are not inherently related to any particular computer, virtual system or other device. Various general purpose systems can also be used together with the teachings based on this. According to the above description, it is obvious that the structure required for constructing such systems. In addition, the present invention is not directed to any specific programming language either. It should be understood that various programming languages ​​can be utilized to realize the content of the present invention described herein, and the description of the above specific languages ​​is for disclosing the best mode of the present invention.

[0134] In the description provided herein, a large number of specific details are described. However, it is understood that embodiments of the present invention can be practiced without these specific details. In some instances, well-known methods, structures and techniques are not shown in detail so as not to obscure the understanding of this description.

[0135] Similarly, it should be understood that in order to streamline the present invention and aid in understanding one or more of the various inventive aspects, in the above description of exemplary embodiments of the present invention, the various features of the present invention are sometimes grouped together into a single embodiment, figure, or description thereof. However, this disclosed method should not be interpreted as reflecting the following intention: that the claimed invention requires more features than the features explicitly recited in each claim. More specifically, as reflected in the claims below, inventive aspects lie in less than all the features of the individual embodiments disclosed above. Therefore, the claims that follow the specific embodiment are hereby expressly incorporated into the specific embodiment, with each claim itself serving as a separate embodiment of the present invention.

[0136] Those skilled in the art will appreciate that the modules in the devices in the embodiments may be adaptively changed and arranged in one or more devices different from the embodiments. The modules or units or components in the embodiments may be combined into one module or unit or component, and in addition they may be divided into a plurality of submodules or subunits or subcomponents. Except that at least some of such features and / or processes or units are mutually exclusive, all features disclosed in this specification (including the accompanying claims, abstracts and drawings) and all processes or units of any method or device disclosed in this manner may be combined in any combination. Unless otherwise expressly stated, each feature disclosed in this specification (including the accompanying claims, abstracts and drawings) may be replaced by an alternative feature providing the same, equivalent or similar purpose.

[0137] The various component embodiments of the present invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. It should be understood by those skilled in the art that a microprocessor or digital signal processor (DSP) may be used in practice to implement some or all of the functions of some or all of the components in the sorting device according to the present invention. The present invention may also be implemented as a device or apparatus program for executing part or all of the methods described herein. Such a program for implementing the present invention may be stored on a computer-readable medium, or may be in the form of one or more signals. Such a signal may be downloaded from an Internet website, or provided on a carrier signal, or provided in any other form.

[0138] It should be noted that the above embodiments illustrate the present invention rather than limit it, and that those skilled in the art may devise alternative embodiments without departing from the scope of the appended claims. In the claims, any reference symbol between brackets shall not be construed as a limitation on the claims. The word "comprising" does not exclude the presence of elements or steps not listed in the claims. The word "one" or "an" preceding an element does not exclude the presence of a plurality of such elements. The present invention may be implemented by means of hardware comprising a number of different elements and by means of a suitably programmed computer. In a unit claim enumerating a number of devices, several of these devices may be embodied by the same hardware item. The use of the words first, second, and third, etc., does not indicate any order. These words may be interpreted as names.

[0139] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0140] It should be noted that all actions of acquiring signals, information or data in this application are carried out in compliance with the relevant data protection laws and policies of the country where they are located and with the authorization given by the owner of the corresponding device.

[0141] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

[0142] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A pipeline risk management method, characterized in that: The method comprises: In the case where a safety risk is detected in a target pipeline, target pipeline data corresponding to the target pipeline is obtained and a target risk type corresponding to the target pipeline is determined; the target pipeline data includes pipeline design data, pipeline construction data, pipeline operation data and pipeline maintenance data; Determining a target risk level corresponding to the target pipeline based on the pipeline design data, the pipeline construction data, the pipeline operation data, and the pipeline maintenance data; Based on the target risk type and the target risk level, a pipeline risk disposal plan for the target pipeline and a target push object are determined.

2. The method according to claim 1, characterized in that The method further comprises: Pushing the pipeline risk treatment plan to the target push object and executing the pipeline risk treatment plan; Obtaining feedback information from the target push object regarding the pipeline risk treatment plan; the feedback information includes plan optimization suggestions and plan evaluation information; The pipeline risk treatment plan is optimized based on the plan optimization suggestion, and a plan score corresponding to the pipeline risk treatment plan is determined based on the plan evaluation information.

3. The method according to claim 1, characterized in that The determining, based on the target risk type and the target risk level, a pipeline risk disposal plan and a target push object for the target pipeline includes: Based on a plurality of risk treatment schemes corresponding to the target risk type, determining the pipeline risk treatment scheme corresponding to the target risk level; the plurality of risk treatment schemes include different risk treatment schemes corresponding to different risk levels; The target push object is determined based on the target risk level and the risk push objects corresponding to different risk levels.

4. The method according to claim 1, characterized in that: The determining, based on the pipeline design data, the pipeline construction data, the pipeline operation data, and the pipeline maintenance data, a target risk level corresponding to the target pipeline includes: Determine a pipeline design score, a pipeline construction score, a pipeline operation score, and a pipeline maintenance score based on the pipeline design data, the pipeline construction data, the pipeline operation data, and the pipeline maintenance data; Calculating a pipeline risk value corresponding to the target pipeline based on the pipeline design score, the pipeline construction score, the pipeline operation score, and the pipeline maintenance score; Based on the pipeline risk value and a preset risk classification threshold, a target risk level corresponding to the target pipeline is determined.

5. The method according to claim 4, characterized in that The method further comprises: In a case where the pipeline design score, the pipeline construction score, the pipeline operation score and / or the pipeline maintenance score are less than a preset threshold, a target risk factor is determined based on the pipeline design score, the pipeline construction score, the pipeline operation score and / or the pipeline maintenance score that are less than the preset threshold.

6. The method according to claim 5, characterized in that The determining the pipeline risk treatment scheme corresponding to the target risk level based on the multiple risk treatment schemes corresponding to the target risk type includes: Based on a plurality of risk treatment solutions corresponding to the target risk type, the pipeline risk treatment solution corresponding to the target risk level and the target risk factor is determined.

7. The method according to claim 1, characterized in that The pipeline design data includes the design service life, pipeline specifications, wall thickness, material and pipeline design standards corresponding to the target pipeline, and the pipeline design standards are determined based on the installation environment of the target pipeline; The pipeline construction data includes data corresponding to the entire process of construction and acceptance of the target pipeline; The pipeline operation data includes inspection-related data and abnormality handling data corresponding to the target pipeline; The pipeline maintenance data includes relevant data corresponding to the pipeline maintenance operation and aging assessment operation performed on the target pipeline.

8. A pipeline risk management device, characterized in that: The device comprises: A first acquisition module is used to acquire target pipeline data corresponding to the target pipeline and determine the target risk type corresponding to the target pipeline when a safety risk is detected in the target pipeline; the target pipeline data includes pipeline design data, pipeline construction data, pipeline operation data and pipeline maintenance data; A first determination module, configured to determine a target risk level corresponding to the target pipeline based on the pipeline design data, the pipeline construction data, the pipeline operation data, and the pipeline maintenance data; The second determination module is used to determine the pipeline risk treatment plan and the target push object for the target pipeline based on the target risk type and the target risk level.

9. An electronic device, characterized in that: include: A processor, a memory, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the pipeline risk management method as described in any one of claims 1 to 7 is implemented.

10. A readable storage medium, characterized in that: When the instructions in the storage medium are executed by a processor of an electronic device, the electronic device is enabled to execute the pipeline risk management method described in any one of claims 1-7.

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