Risk disposal method and device, electronic equipment and readable storage medium
By defining event trees for different risk types in the risk disposal bow tie diagram, and combining bow-tie theory with dual pre-control principles, the complex application of Bow-tie theory in gas safety risk management is solved, and the accuracy and reliability of risk assessment and disposal are improved.
Patent Information
- Application Number
- CN202411695360.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-25
- Publication Date
- 2025-04-15
AI Technical Summary
The Bow-tie theory is complex in gas safety risk management, and it is difficult to adapt to the complexity and diversity of gas systems, as well as specific risk differences in different regions and environments.
By defining different event trees for different risk types in the risk treatment bow tie diagram, and determining the corresponding treatment methods in the target event tree based on the target risk level, combining bow-tie theory and dual pre-control principles, the implementation of risk identification, analysis and prevention and control measures can be achieved.
It improves the accuracy and reliability of risk assessment, and can more comprehensively and in-depth identify and analyze different risks and their relationships, ensuring the effective handling of security risks.
Smart Images

Figure CN119831203A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of gas safety technology, and in particular to a risk management method, device, electronic equipment and readable storage medium. Background Art
[0002] With the acceleration of urbanization and the widespread use of gas, gas safety issues have become increasingly prominent, and choosing effective risk response measures has become an important part of ensuring public safety. However, in actual operations, although Bow-tie theory, as an advanced risk assessment and control method, provides strong support for gas safety risk management in theory, it faces some shortcomings when it comes to transformation into actual scenarios.
[0003] Bow-tie theory clearly shows the relationship between the causes, pathways, consequences and preventive measures of accidents by drawing a bow tie diagram, which is highly visual and operational. However, in practical applications, due to the complexity and diversity of gas systems, as well as the differences in specific risks in different regions and environments, the specific application of Bow-tie theory becomes complicated and difficult. Therefore, a more practical gas risk management solution is urgently needed. Summary of the invention
[0004] In order to overcome the problems existing in the related art, the present invention provides a risk management method, device, electronic device and readable storage medium.
[0005] In a first aspect, the present invention provides a risk management method, the method comprising:
[0006] Determine the target risk type and target risk level corresponding to the target object based on the target device data collected for the target object;
[0007] Determine a target event tree matching the target risk type in the risk treatment bowtie diagram corresponding to the control items satisfied by the target object, and determine a first treatment method in the target event tree based on the target risk level; different risk types correspond to different event trees;
[0008] Obtain the execution effect of the first disposal method, and if the execution effect does not meet the preset execution effect, execute the second disposal method corresponding to the next level of the target risk level in the target event tree for the target object, until the execution effect obtained for the target object meets the preset execution effect.
[0009] Optionally, the target risk type includes a hidden danger type and an accident type, the event tree includes a hidden danger management tree and an accident handling tree, the hidden danger management tree matches the hidden danger type, and the accident handling tree matches the accident type.
[0010] Optionally, the hidden danger management tree and the accident handling tree respectively include handling methods corresponding to different risk levels; and determining the first handling method in the target event tree based on the target risk level includes:
[0011] Based on the target risk level, determining a handling method corresponding to the target risk level in the target event tree;
[0012] The treatment method is determined as the first treatment method.
[0013] Optionally, different control items correspond to different risk treatment bowtie diagrams; the method further includes:
[0014] Based on the feedback on the execution effect of each disposal method, the risk disposal bowtie chart corresponding to each control item is regularly reviewed and updated.
[0015] Optionally, the method further comprises:
[0016] In the field of gas safety, multiple control items are defined;
[0017] For any of the control items, obtaining a historical disposal solution corresponding to the control item and historical equipment data corresponding to the historical disposal solution;
[0018] Based on the historical disposal solutions and the historical equipment data, determining multiple hidden danger disposal methods and multiple accident disposal methods for the control item;
[0019] A hidden danger management and control tree is constructed based on the multiple hidden danger handling methods, and the accident handling tree is constructed based on the multiple accident handling methods; the accident handling tree and the hidden danger management and control tree are used to construct the risk handling bowtie diagram.
[0020] In a second aspect, the present invention provides a risk management device, the device comprising:
[0021] A first determination module, configured to determine a target risk type and a target risk level corresponding to the target object based on target device data collected for the target object;
[0022] A second determination module is used to determine a target event tree matching the target risk type in the risk treatment bowtie diagram corresponding to the control items satisfied by the target object, and determine a first treatment method in the target event tree based on the target risk level; different risk types correspond to different event trees;
[0023] The first acquisition module is used to obtain the execution effect of the first disposal method, and if the execution effect does not meet the preset execution effect, execute the second disposal method corresponding to the next level of the target risk level in the target event tree for the target object, until the execution effect obtained for the target object meets the preset execution effect.
[0024] Optionally, the target risk type includes a hidden danger type and an accident type, the event tree includes a hidden danger management tree and an accident handling tree, the hidden danger management tree matches the hidden danger type, and the accident handling tree matches the accident type.
[0025] Optionally, the hidden danger management tree and the accident handling tree respectively include handling methods corresponding to different risk levels; the second determination module includes:
[0026] A first determination submodule, configured to determine, based on the target risk level, a handling method corresponding to the target risk level in the target event tree;
[0027] The second determining submodule is used to determine the disposal method as the first disposal method.
[0028] Optionally, different control items correspond to different risk management bowtie diagrams; the device further includes:
[0029] The first updating module is used to regularly review and update the risk treatment bowtie chart corresponding to each of the control items based on the execution effect of each treatment method feedback.
[0030] Optionally, the device further comprises:
[0031] The first definition module is used to define multiple control items in the field of gas safety;
[0032] A first acquisition module is used to acquire, for any of the control items, a historical disposal solution corresponding to the control item and historical equipment data corresponding to the historical disposal solution;
[0033] A third determination module is used to determine multiple hidden danger disposal methods and multiple accident disposal methods for the control item based on the historical disposal solutions and the historical equipment data;
[0034] The first construction module is used to construct a hidden danger management and control tree based on the multiple hidden danger handling methods, and to construct the accident handling tree based on the multiple accident handling methods; the accident handling tree and the hidden danger management and control tree are used to construct the risk handling bowtie diagram.
[0035] 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 the processor implements the risk management method described in any one of the first aspects when executing the program.
[0036] In a fourth aspect, the present invention provides a readable storage medium, which, when instructions in the storage medium are executed by a processor of an electronic device, enables the electronic device to perform the steps of the risk management method in any one of the embodiments of the first aspect above.
[0037] In an embodiment of the present invention, based on the target device data collected for the target object, the target risk type and target risk level corresponding to the target object are determined; in the risk treatment bowtie diagram corresponding to the control items satisfied by the target object, a target event tree matching the target risk type is determined, and based on the target risk level, a first disposal method is determined in the target event tree; the execution effect of the first disposal method is obtained, and when the execution effect does not meet the preset execution effect, the second disposal method corresponding to the next level of the target risk level in the target event tree is executed for the target object, until the execution effect obtained for the target object meets the preset execution effect. In this way, due to the complexity and diversity of the gas system, as well as the specific risk differences in different regions and different environments, the embodiment of the present invention defines different event trees for different risk types in the risk treatment bowtie diagram, and then determines the first disposal method matching the target risk level in the target event tree based on the target risk level, so as to more comprehensively and deeply identify and analyze these different risks and their interrelationships. In addition, by combining the bow-tie theory with the method of the dual pre-control principle, the embodiment of the present invention can effectively guide the implementation of specific risk prevention and control measures, and then when the target object has a safety risk, the first disposal method can be quickly and accurately determined based on the risk treatment bowtie diagram, thereby improving the accuracy and reliability of risk assessment. Then, by judging the execution effect of the disposal method, we continue to look for reliable disposal methods that can eliminate security risks, ensuring that the security risks generated by the target object can be effectively resolved, thereby improving the reliability of security risk disposal. BRIEF DESCRIPTION OF THE DRAWINGS
[0038] 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.
[0039] Figure 1 is a flowchart of a risk management method provided by an embodiment of the present invention;
[0040] Figure 2 is a schematic diagram of a risk management bowtie diagram provided by an embodiment of the present invention;
[0041] Figure 3 It is a schematic diagram of a risk treatment bowtie diagram when a control item is a pipe network leakage provided by an embodiment of the present invention;
[0042] Figure 4 is a structural diagram of a risk management device provided by an embodiment of the present invention;
[0043] Figure 5 It is a structural diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION
[0044] 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.
[0045] Figure 1 is a flow chart of the steps of a risk management method provided by an embodiment of the present invention, such as Figure 1 As shown, the method may include:
[0046] Step 101: Based on target device data collected for a target object, determine a target risk type and a target risk level corresponding to the target object.
[0047] In an embodiment of the present invention, data acquisition equipment is deployed for a target object, wherein the target object may be a gas pipeline, a gas equipment, a gas station, an environment, etc., and the data acquisition equipment may include an Internet of Things device, such as a gas detection device, a pressure detection device, an image acquisition device, etc. Correspondingly, the target device data may include Internet of Things device data and system record data, such as pressure data, gas concentration data, image data, etc. The target device data collected by the data acquisition device for the target object is obtained, and based on the target device data, the target risk category and target risk level corresponding to the target object are determined. Among them, the target risk type includes a hidden danger type and an accident type, and the target risk level can be defined according to the severity of the risk and the scope of impact. For example, the target risk level can be divided into high risk, medium risk and low risk.
[0048] Exemplarily, judgment conditions corresponding to different risk types can be set in advance for different types of equipment data, for example, first judgment conditions and second judgment conditions corresponding to different risk types can be set for different types of equipment data. For any target equipment data, when the value of the target equipment data satisfies the first judgment condition or the second judgment condition corresponding to the equipment data of this type, the target risk type can be determined to be the risk type corresponding to the first judgment condition or the second judgment condition. For example, for pressure data, assuming that the judgment condition is set to be when the pressure data is greater than a and less than b, the target risk type is determined to be a hidden danger type; when the judgment condition is when the pressure data is greater than b, the target risk type is determined to be an accident type. For image data, assuming that the judgment condition is set to be when a general violation operation is detected in the image data based on image recognition, the target risk type is determined to be a hidden danger type; when the judgment condition is when a major violation operation is detected in the image data based on image recognition, the target risk type is determined to be an accident type.
[0049] Step 102: determine a target event tree matching the target risk type in the risk disposal bowtie diagram corresponding to the control items satisfied by the target object, and determine a first disposal method in the target event tree based on the target risk level; different risk types correspond to different event trees.
[0050] In an embodiment of the present invention, the bow-tie theory is combined with the dual pre-control method to construct a risk management bowtie diagram (bow-tie model) for the field of gas safety. The dual pre-control principle for gas safety issues mainly refers to the dual prevention mechanism of safety risk classification management and hidden danger investigation and treatment. This principle aims to control safety risks before hidden dangers are formed through a systematic method, and through hidden danger investigation, timely identify possible deficiencies and loopholes in the risk control process, and eliminate hidden dangers in a timely manner, thereby ensuring the safety of gas use. The core "risk-hidden danger-accident" management and control chain of the dual pre-control principle is based on the basic form of the bow-tie theory. The left and right branches in the risk management bowtie diagram are regarded as two different event trees. The event tree can be a hidden danger control tree on the left branch and an accident handling tree on the right branch. Different risk types are matched with different event trees, among which the hidden danger control tree matches the hidden danger type, and the accident handling tree matches the accident type. As Figure 2As shown, the hidden danger management tree can include risk hidden dangers and corresponding treatment methods for different risk levels. Specifically, risks can be regarded as hidden dangers with lower risk levels, that is, the hidden dangers far from the center in the hidden danger management tree are the treatment methods corresponding to the hidden dangers with lower risk levels (i.e., the risks in the double prevention and control principle), and the hidden dangers close to the center are the treatment methods corresponding to the hidden dangers with higher risk levels, such as rectification measures; the closer to the middle, the higher the risk level and the higher the possibility that the risk hidden danger will cause an accident. The accident handling tree can include accidents and corresponding treatment measures for accidents of different risk levels. The closer to the center, the treatment methods corresponding to major accidents, and the farther away from the center, the treatment methods corresponding to secondary accidents.
[0051] According to different target objects, they are defined as control items, where control items can be defined according to the object type of the target object. For each control item, a risk disposal bowtie diagram corresponding to the control item is constructed. Exemplarily, for each control item, the corresponding business definition judgment rule can be defined; and based on the rule, the corresponding IoT and system data are matched. The risk type in the left and right branches and the corresponding relationship between the risk level and the disposal method are divided and set by the collected device data.
[0052] After determining the target object, determine the control items that the target object satisfies based on the target object, and obtain the risk treatment bowtie diagram corresponding to the control items. Based on the risk treatment bowtie diagram, determine the target event tree corresponding to the target risk type, that is, determine the target event tree based on the target risk type. Since the target event tree defines treatment methods corresponding to different risk levels, based on the target risk level, the treatment method corresponding to the target risk level can be determined in the target event tree as the first treatment method.
[0053] Optionally, step 102 may include the following steps:
[0054] Step 201: Based on the target risk level, determine a handling method corresponding to the target risk level in the target event tree.
[0055] Step 202: Determine the disposal method as the first disposal method.
[0056] In the embodiment of the present invention, based on the target risk level, a handling method corresponding to the target risk level is determined in the target event tree.
[0057] For example, Figure 3As shown in the figure, assuming that the control item is a pipe network leak, the risk disposal bow tie diagram corresponding to the control item includes multiple disposal methods, namely: leakage IoT monitoring disposal method corresponding to low risk level, that is, when the risk level is low, it means that the target object has risk hazards, but the severity is low, and the IoT data can be monitored in real time first; pipe network inspection disposal method corresponding to medium risk level, that is, when the risk level is medium, it means that the target object has risk hazards, and the severity is medium, and the pipe network can be inspected and checked to find out the possible deficiencies and loopholes in the risk control process; regulator maintenance disposal method corresponding to higher risk level, that is, when the risk level is high, it is necessary to directly repair the risk hazard point, that is, the regulator, to eliminate the risk hazard as soon as possible; pipeline maintenance disposal method corresponding to high risk level, that is, when the risk level is high, it is necessary to comprehensively check the safety hazards existing in gas facilities, workplaces, etc., to eliminate the risk hazards as soon as possible and eliminate the hidden dangers existing in the pipe network. Assuming that the target risk level is medium risk level, the disposal method corresponding to the medium risk level, that is, the pipe network inspection disposal method, is determined as the first disposal method.
[0058] In a possible implementation, algorithm models can be established based on the hidden danger control tree and the accident handling tree in the risk handling bow tie diagram, respectively, so that the algorithm model can quickly identify the corresponding handling method based on the target equipment data.
[0059] In an embodiment of the present invention, by determining corresponding disposal methods based on different risk levels, appropriate management and control measures can be taken in a timely manner to effectively reduce the possibility of these risks occurring. At the same time, it can help ensure that resources (such as time, money, and manpower) are used in the most effective way to avoid excessive processing of security risks at low risk levels or insufficient resources for processing security risks at high risk levels.
[0060] Step 103: Obtain the execution effect of the first disposal method, and if the execution effect does not meet the preset execution effect, execute the second disposal method corresponding to the next level of the target risk level in the target event tree for the target object, until the execution effect obtained for the target object meets the preset execution effect.
[0061] In an embodiment of the present invention, a first disposal method is executed on a target object, and an execution effect of the first disposal method is obtained. The execution effect may be obtained based on feedback from disposal personnel, and the disposal effect may include effective disposal and invalid disposal. Effective disposal is used to characterize that after the first disposal method is executed on the target object, the hidden danger corresponding to the target object has been eliminated or the accident has been resolved; invalid disposal is used to characterize that after the first disposal method is executed on the target object, the hidden danger corresponding to the target object has not been eliminated or the accident has not been resolved. When the execution effect corresponding to the first disposal method does not meet the preset execution effect, it is characterized that the execution effect of the first disposal method has not met expectations. The preset execution effect may be effective disposal. If the execution effect corresponding to the first disposal method is invalid disposal, the second disposal method corresponding to the next level of the target risk level may be determined in the target event tree. Since the event tree includes disposal methods corresponding to different risk levels, the disposal intensity and disposal effect of the disposal method are proportional to the risk level. Therefore, when the first disposal method corresponding to the target risk level cannot achieve the expected execution effect, the disposal method corresponding to the next level can be determined as the second disposal method, and the second disposal method is executed on the target object to obtain the execution effect corresponding to the second disposal method, and it is determined whether the execution effect corresponding to the second disposal method meets the preset execution effect. This is repeated until the execution effect obtained for the target object meets the preset execution effect.
[0062] In one possible implementation, when the target event tree is a hidden danger management and control tree, if the execution effect corresponding to the handling method corresponding to the highest risk level in the hidden danger management and control tree still does not meet the preset execution effect, the target object can be handled based on the handling method corresponding to the lowest risk level in the accident handling tree. If the execution effect of the handling method corresponding to the lowest risk level in the accident handling tree still does not meet the preset execution effect, the handling method corresponding to the next level of the lowest risk level in the accident handling tree is executed for the target object until the execution effect obtained for the target object meets the preset execution effect.
[0063] In summary, in an embodiment of the present invention, based on the target device data collected for the target object, the target risk type and target risk level corresponding to the target object are determined; a target event tree matching the target risk type is determined in the risk disposal bowtie diagram corresponding to the control items satisfied by the target object, and a first disposal method is determined in the target event tree based on the target risk level; the execution effect of the first disposal method is obtained, and when the execution effect does not meet the preset execution effect, the second disposal method corresponding to the next level of the target risk level in the target event tree is executed for the target object, until the execution effect obtained for the target object meets the preset execution effect. In this way, due to the complexity and diversity of the gas system, as well as the specific risk differences in different regions and environments, the embodiment of the present invention can more comprehensively and deeply identify and analyze these different risks and their interrelationships by defining different event trees for different risk types in the risk disposal bowtie diagram, and then determining the first disposal method matching the target risk level in the target event tree based on the target risk level. Furthermore, the embodiment of the present invention can effectively guide the implementation of specific risk prevention and control measures by combining the bow-tie theory with the method of the double pre-control principle, and then quickly and accurately determine the first disposal method based on the risk disposal bow tie diagram when the target object has a safety risk, thereby improving the accuracy and reliability of risk assessment. Then, by judging the execution effect of the disposal method, a reliable disposal method that can eliminate the safety risk is continuously searched, ensuring that the safety risk generated by the target object can be effectively resolved, and improving the reliability of safety risk disposal.
[0064] Optionally, the embodiment of the present invention may further include the following steps:
[0065] Step 301: Based on the feedback of the execution effect of each treatment method, the risk treatment bowtie chart corresponding to each control item is regularly reviewed and updated.
[0066] In an embodiment of the present invention, the execution effect of each disposal method after execution is obtained, and the risk disposal bowtie diagram corresponding to each control item is regularly reviewed and updated based on the execution effect. Exemplarily, when the execution effect of a disposal method is that the disposal is effective, the disposal method can be used as a reference content for updating the disposal methods corresponding to other control items; when the execution effect of a disposal method is that the disposal is invalid, the content of the disposal method is updated to improve the disposal effect. At the same time, as the system develops and changes, the original risk factors and disposal methods may need to be updated. This means that the risk disposal bowtie diagram is not static and needs to be regularly reviewed, adjusted, and updated to maintain its effectiveness and relevance.
[0067] Optionally, the embodiment of the present invention further includes the following steps:
[0068] Step 401: Define multiple control items for the field of gas safety.
[0069] In the embodiment of the present invention, different control items are defined for the field of gas safety according to different risk types, wherein the control items may include pipe network leakage, equipment failure, and the like.
[0070] Step 402: For any of the control items, obtain a historical disposal solution corresponding to the control item and historical equipment data corresponding to the historical disposal solution.
[0071] In an embodiment of the present invention, for any control item, based on the historical disposal situation corresponding to the control item, a historical disposal plan is obtained, that is, the disposal plan used for the historical disposal of the target object corresponding to the control item, and the historical equipment data corresponding to the historical disposal plan, that is, the data situation of the historical equipment data collected by the equipment when performing risk disposal on the target object corresponding to the control item.
[0072] Step 403: Based on the historical handling solutions and the historical equipment data, determine multiple hidden danger handling methods and multiple accident handling methods for the control item.
[0073] In an embodiment of the present invention, historical equipment data and historical disposal plans are analyzed based on multiple groups of historical equipment data and historical disposal plans, the correlation between changes in equipment data and the selection of disposal plans is obtained, and the historical disposal plans are classified to divide multiple hidden danger disposal methods and multiple accident disposal methods.
[0074] At the same time, based on historical equipment data and national standards, industry standards, enterprise standards and other specifications and standards related to gas safety, corresponding risk levels are set for different hidden danger handling methods and accident handling methods.
[0075] Step 404: construct a hidden danger management and control tree based on the multiple hidden danger handling methods, and construct the accident handling tree based on the multiple accident handling methods; the accident handling tree and the hidden danger management and control tree are used to construct the risk handling bowtie diagram.
[0076] In an embodiment of the present invention, a hidden danger management and control tree is constructed based on multiple hidden danger handling methods. Exemplarily, the risk levels corresponding to multiple hidden danger handling methods can be determined, and a hidden danger management and control tree is constructed based on the hidden danger handling methods corresponding to different risk levels. An accident handling tree is constructed based on multiple accident handling methods. Exemplarily, the risk levels corresponding to multiple accident handling methods can be determined, and an accident handling tree is constructed based on the accident handling methods corresponding to different risk levels. The risk levels corresponding to different handling methods can be set according to the handling content, handling scope, handling intensity, and handling effect of the handling method, and the specific embodiment of the present invention does not limit this.
[0077] The accident handling tree and the hidden danger control tree are used to construct a risk handling bowtie diagram. Specifically, the accident handling tree and the hidden danger control tree can be connected to obtain a risk handling bowtie diagram, such as Figure 2 shown.
[0078] The embodiment of the present invention constructs a risk management bowtie diagram including a hidden danger management tree and an accident handling tree. The hidden danger management tree indicates that the target object has not had a substantial accident yet, but needs daily risk management, which is a preventive measure; the accident handling tree indicates that an accident has already occurred and that timely emergency handling of the accident is required, which is a remedial measure. The personnel skills, economic investment, measures taken, etc. corresponding to the handling methods in the hidden danger management tree and the accident handling tree will be differentiated due to the different preventive measures or remedial measures taken and the different risk levels. In the scenario of the actual application of the risk management bowtie diagram, by combining algorithms or management methods, the target object can be monitored in real time, and when the target object has risk hazards, the handling method can be determined in time for management and control, so that the hidden danger control can be gradually realized from planning to predictive, and then through the management of risk hazards, the probability of accidents can be reduced, and the effect of cost management can be achieved to a certain extent.
[0079] Exemplarily, when the target object is a voltage regulator, data collection and data recording are performed on the voltage regulator in real time to monitor the voltage regulator in real time. For example, the inlet and outlet pressure values of the voltage regulator can be monitored daily. Assuming that when the inlet and outlet pressure values are abnormal, the target device data corresponding to the voltage regulator is analyzed to determine whether the hidden danger control tree on the left branch of the corresponding risk disposal bow tie diagram or the accident disposal tree on the right branch is needed, so as to determine whether hidden danger control or accident disposal is needed, obtain the disposal method corresponding to the risk level, and perform risk disposal on the voltage regulator based on the disposal method.
[0080] Figure 4 is a schematic diagram of the structure of a risk management device provided by an embodiment of the present invention, such as Figure 4 As shown, the device may specifically include:
[0081] A first determination module 501 is used to determine a target risk type and a target risk level corresponding to the target object based on target device data collected for the target object;
[0082] A second determination module 502 is used to determine a target event tree matching the target risk type in the risk treatment bowtie diagram corresponding to the control items satisfied by the target object, and determine a first treatment method in the target event tree based on the target risk level; different risk types correspond to different event trees;
[0083] The first acquisition module 503 is used to obtain the execution effect of the first disposal method, and if the execution effect does not meet the preset execution effect, execute the second disposal method corresponding to the next level of the target risk level in the target event tree for the target object, until the execution effect obtained for the target object meets the preset execution effect.
[0084] An embodiment of the present invention provides a risk handling device, which determines the target risk type and target risk level corresponding to the target object based on the target device data collected for the target object; determines the target event tree matching the target risk type in the risk handling bowtie diagram corresponding to the control items satisfied by the target object, and determines the first handling method in the target event tree based on the target risk level; obtains the execution effect of the first handling method, and when the execution effect does not meet the preset execution effect, executes the second handling method corresponding to the next level of the target risk level in the target event tree for the target object, until the execution effect obtained for the target object meets the preset execution effect. In this way, due to the complexity and diversity of the gas system, as well as the specific risk differences in different regions and environments, the embodiment of the present invention can more comprehensively and deeply identify and analyze these different risks and their interrelationships by defining different event trees for different risk types in the risk handling bowtie diagram, and then determining the first handling method matching the target risk level in the target event tree based on the target risk level. Furthermore, the embodiment of the present invention can effectively guide the implementation of specific risk prevention and control measures by combining the bow-tie theory with the method of the double pre-control principle, and then quickly and accurately determine the first disposal method based on the risk disposal bow tie diagram when the target object has a safety risk, thereby improving the accuracy and reliability of risk assessment. Then, by judging the execution effect of the disposal method, a reliable disposal method that can eliminate the safety risk is continuously searched, ensuring that the safety risk generated by the target object can be effectively resolved, and improving the reliability of safety risk disposal.
[0085] Optionally, the target risk type includes a hidden danger type and an accident type, the event tree includes a hidden danger management tree and an accident handling tree, the hidden danger management tree matches the hidden danger type, and the accident handling tree matches the accident type.
[0086] Optionally, the hidden danger management tree and the accident handling tree respectively include handling methods corresponding to different risk levels; the second determination module 502 includes:
[0087] A first determination submodule, configured to determine, based on the target risk level, a handling method corresponding to the target risk level in the target event tree;
[0088] The second determining submodule is used to determine the disposal method as the first disposal method.
[0089] Optionally, different control items correspond to different risk management bowtie diagrams; the device further includes:
[0090] The first updating module is used to regularly review and update the risk treatment bowtie chart corresponding to each of the control items based on the execution effect of each treatment method feedback.
[0091] Optionally, the device further comprises:
[0092] The first definition module is used to define multiple control items in the field of gas safety;
[0093] A first acquisition module is used to acquire, for any of the control items, a historical disposal solution corresponding to the control item and historical equipment data corresponding to the historical disposal solution;
[0094] A third determination module is used to determine multiple hidden danger disposal methods and multiple accident disposal methods for the control item based on the historical disposal solutions and the historical equipment data;
[0095] The first construction module is used to construct a hidden danger management and control tree based on the multiple hidden danger handling methods, and to construct the accident handling tree based on the multiple accident handling methods; the accident handling tree and the hidden danger management and control tree are used to construct the risk handling bowtie diagram.
[0096] The present invention also provides an electronic device, see Figure 5 , including: a processor 601, a memory 602, and a computer program 6021 stored in the memory and executable on the processor, wherein the processor implements the risk management method of the aforementioned embodiment when executing the program.
[0097] 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 risk management method of the aforementioned embodiment.
[0098] 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.
[0099] 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.
[0100] 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.
[0101] 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.
[0102] 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.
[0103] 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.
[0104] 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.
[0105] 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.
[0106] 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.
[0107] 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.
[0108] 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 risk management method, characterized in that: The method comprises: Determine the target risk type and target risk level corresponding to the target object based on the target device data collected for the target object; Determine a target event tree matching the target risk type in the risk treatment bowtie diagram corresponding to the control items satisfied by the target object, and determine a first treatment method in the target event tree based on the target risk level; different risk types correspond to different event trees; Obtain the execution effect of the first disposal method, and if the execution effect does not meet the preset execution effect, execute the second disposal method corresponding to the next level of the target risk level in the target event tree for the target object, until the execution effect obtained for the target object meets the preset execution effect.
2. The method according to claim 1, characterized in that: The target risk type includes a hidden danger type and an accident type, the event tree includes a hidden danger management tree and an accident handling tree, the hidden danger management tree matches the hidden danger type, and the accident handling tree matches the accident type.
3. The method according to claim 2, characterized in that The hidden danger management tree and the accident handling tree respectively include handling methods corresponding to different risk levels; and determining a first handling method in the target event tree based on the target risk level includes: Based on the target risk level, determining a handling method corresponding to the target risk level in the target event tree; The treatment method is determined as the first treatment method.
4. The method according to claim 1, characterized in that: Different control items correspond to different risk treatment bowtie diagrams; the method further includes: Based on the feedback on the execution effect of each disposal method, the risk disposal bowtie chart corresponding to each control item is regularly reviewed and updated.
5. The method according to claim 1, characterized in that The method further comprises: In the field of gas safety, multiple control items are defined; For any of the control items, obtaining a historical disposal solution corresponding to the control item and historical equipment data corresponding to the historical disposal solution; Based on the historical disposal solutions and the historical equipment data, determining multiple hidden danger disposal methods and multiple accident disposal methods for the control item; A hidden danger management and control tree is constructed based on the multiple hidden danger handling methods, and the accident handling tree is constructed based on the multiple accident handling methods; the accident handling tree and the hidden danger management and control tree are used to construct the risk handling bowtie diagram.
6. A risk management device, characterized in that: The device comprises: A first determination module, configured to determine a target risk type and a target risk level corresponding to the target object based on target device data collected for the target object; A second determination module is used to determine a target event tree matching the target risk type in the risk disposal bowtie diagram corresponding to the control items satisfied by the target object, and determine a first disposal method in the target event tree based on the target risk level; different risk types correspond to different event trees, the target risk type includes a hidden danger type and an accident type, the target event tree includes a hidden danger control tree and an accident disposal tree, the hidden danger control tree matches the hidden danger type, and the accident disposal tree matches the accident type; The first acquisition module is used to obtain the execution effect of the first disposal method, and if the execution effect does not meet the preset execution effect, execute the second disposal method corresponding to the next level of the target risk level in the target event tree for the target object, until the execution effect obtained for the target object meets the preset execution effect.
7. The method according to claim 6, characterized in that The hidden danger management tree and the accident handling tree respectively contain handling methods corresponding to different risk levels; The second determining module includes: A first determination submodule, configured to determine, based on the target risk level, a handling method corresponding to the target risk level in the target event tree; The second determining submodule is used to determine the disposal method as the first disposal method.
8. The method according to claim 6, characterized in that Different control items correspond to different risk management bow tie diagrams; the device also includes: The first updating module is used to regularly review and update the risk treatment bowtie chart corresponding to each of the control items based on the execution effect of each treatment method feedback.
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 risk management method as claimed in any one of claims 1 to 5 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 risk management method described in any one of claims 1-5.