CN112668878A - Risk linkage management and control method and device, electronic equipment and storage medium - Google Patents
Risk linkage management and control method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The invention provides a risk linkage management and control method, a risk linkage management and control device, electronic equipment and a storage medium, wherein the method comprises the following steps: respectively acquiring operation and maintenance plan risk information and power supply risk equipment risk information from a production management system, and acquiring operation information from a safety supervision system; evaluating the operation and maintenance plan risk information by adopting a pre-constructed power grid risk model to obtain a power grid risk grade; evaluating the power supply risk equipment information by adopting a pre-constructed equipment risk model to obtain an equipment risk level; based on the operation information, obtaining an operation risk grade by combining an operation risk evaluation project; and determining an optimal management and control plan according to the power grid operation risk level, the index data and the operation risk level. And carrying out real-time statistics and analysis on the data by using different statistical models, and determining a management and control plan according to an analysis result, so that the timeliness and the efficiency of a risk management and control process are improved.
Description
Technical Field
The invention relates to the technical field of risk evaluation, in particular to a risk linkage management and control method and device, electronic equipment and a storage medium.
Background
With the continuous expansion of the scale of the power grid, the increase of the types of the equipment and the gradual enrichment of basic functions of the production management system, the related information quantity becomes huge and dispersed, and the control difficulty of the three risks of the power grid, the equipment and the operation is continuously improved.
On the basis of huge and dispersed information quantity, the statistics of the information quantity by the risk management and control means at the present stage has the problem that the result obtained by statistics cannot be timely utilized to a specified management and control strategy, so that a set of complete and effective method for linkage management and control of power grids, equipment and operation risks is difficult to establish.
Disclosure of Invention
The invention provides a risk linkage management and control method and device, electronic equipment and a storage medium, which are used for carrying out real-time statistics and analysis on data by utilizing different statistical models and determining a management and control plan according to an analysis result, so that the timeliness and the efficiency of a risk management and control process are improved.
In a first aspect, the present invention provides a method for risk linkage management and control, including:
respectively acquiring operation and maintenance plan risk information and power supply risk equipment risk information from a production management system, and acquiring operation information from a safety supervision system;
evaluating the operation and maintenance plan risk information by adopting a pre-constructed power grid risk model to obtain a power grid risk grade;
evaluating the operation and maintenance plan risk information by adopting a pre-constructed power grid risk model to obtain a power grid risk grade;
based on the operation information, obtaining an operation risk grade by combining an operation risk evaluation project;
and determining an optimal management and control plan according to the power grid operation risk level, the index data and the operation risk level.
Optionally, the method for evaluating the operation and maintenance plan risk information by using a pre-constructed power grid risk model to obtain a power grid risk level includes:
obtaining the values of all risk factors in the operation and maintenance plan risk information, and inputting the values of all risk factors in the operation and maintenance plan risk information into the power grid risk model to obtain a power grid comprehensive risk value;
and determining the risk grade of the power grid operation risk according to the power grid comprehensive risk value.
Optionally, the operation and maintenance plan risk information includes: power grid risk information and personnel risk information; obtaining the scores of the risk factors in the operation and maintenance plan risk information, and inputting the scores of the risk factors in the operation and maintenance plan risk information into the power grid risk model to obtain a power grid comprehensive risk score, including:
adding the scores of all risk factors of the power grid risk information to obtain the scores of all risk factors of the power grid risk information;
adding the scores of all risk factors of the personnel risk information to obtain the scores of all risk factors of the personnel risk information;
and inputting the scores of all risk factors of the power grid risk information and the scores of all risk factors of the personnel risk information into the power grid risk model to obtain the comprehensive risk score of the power grid.
Optionally, the evaluating the power supply risk device information by using a pre-constructed device risk model to obtain index data of device risk includes:
obtaining the values of all risk factors in the power supply equipment risk information, and inputting the values of all risk factors in the power supply equipment risk information into the operation risk model to obtain an equipment comprehensive risk value;
and determining the risk grade of the equipment operation risk according to the equipment comprehensive risk score.
Optionally, the power supply equipment risk information includes: state risk information and equipment defect information; obtaining the scores of the risk factors in the power supply equipment risk information, inputting the scores of the risk factors in the power supply equipment risk information into the operation risk model, and obtaining an equipment comprehensive risk score, wherein the equipment comprehensive risk score comprises:
adding the scores of all risk factors of the state risk information to obtain the scores of all risk factors of the state risk information;
adding the scores of the risk factors of the equipment defect information to obtain the scores of all the risk factors of the equipment defect information;
and inputting the scores of all risk factors of the state risk information and the scores of all risk factors of the equipment defect information into the equipment risk model to obtain the comprehensive risk score of the equipment.
Optionally, the job information includes job measures, job risk categories and job risk consequences, and based on the job risk information, in combination with the job risk assessment items, an job risk level is obtained, which includes:
reading operation measures, operation risk categories and operation risk consequences in the operation information;
matching the operation measures, the operation risk categories and the risk consequences in the operation risk assessment project, and respectively determining the occurrence probability and the risk value corresponding to the operation measures, the operation risk categories and the risk consequences;
obtaining an operation comprehensive risk value according to the operation measures, the operation risk category and the occurrence probability and the risk value corresponding to the risk consequence;
and determining the risk grade of the operation risk of the operation according to the operation comprehensive risk value.
Optionally, obtaining an operation comprehensive risk score according to the operation measure, the operation risk category, and the occurrence probability and the risk value corresponding to the risk consequence, including:
multiplying the occurrence probability corresponding to the operation measure by a risk value to obtain a risk measure value;
multiplying the occurrence probability of the operation risk category by the risk value to obtain a risk category value;
multiplying the occurrence probability of the operation risk consequence by a risk value to obtain a risk consequence value;
and accumulating the risk measure score, the risk category score and the risk consequence score to obtain the operation comprehensive risk score.
In a second aspect, the present invention further provides a risk linkage management and control device, including:
the information acquisition module is used for respectively acquiring operation and maintenance plan risk information and power supply risk equipment risk information from the production management system and acquiring operation information from the safety supervision system;
the power grid risk level determining module is used for evaluating the operation and maintenance plan risk information by adopting a pre-constructed power grid risk model and determining a power grid risk level;
the equipment risk level determining module is used for evaluating the power supply risk equipment information and determining an equipment risk level by adopting a pre-constructed equipment risk model;
the operation risk level determination module is used for determining an operation risk level by combining operation risk evaluation items based on the operation information;
and the control plan determining module is used for determining an optimal control plan according to the power grid operation risk level, the index data and the operation risk level.
In a third aspect, the present application provides an electronic device comprising a processor and a memory, wherein the memory stores computer readable instructions, and the computer readable instructions, when executed by the processor, perform the steps of the method as provided in the first aspect.
In a fourth aspect, the present application provides a storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method as provided in the first aspect above.
According to the technical scheme, the invention has the following advantages:
the invention provides a risk linkage management and control method, a risk linkage management and control device, electronic equipment and a storage medium, wherein operation and maintenance plan risk information and power supply risk equipment risk information are respectively acquired from a production management system, and operation information is acquired from a safety supervision system; evaluating the operation and maintenance plan risk information by adopting a pre-constructed power grid risk model to obtain a power grid risk grade; evaluating the power supply risk equipment information by adopting a pre-constructed equipment risk model to obtain an equipment risk level; based on the operation information, obtaining an operation risk grade by combining an operation risk evaluation project; and determining an optimal management and control plan according to the power grid operation risk level, the index data and the operation risk level. The method comprises the steps of utilizing different statistical models to conduct real-time statistics on acquired power grid risk, equipment risk and operation risk data respectively, analyzing statistical results, determining an optimal risk management and control plan in a short time according to power grid risk statistical results, equipment risk statistical results and operation risk statistical results, and solving the problem that the statistical results cannot be used in a management and control mode in time in the existing risk management and control method.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts;
fig. 1 is a flowchart illustrating a first step of a risk linkage management and control method according to a first embodiment of the present invention;
FIG. 2 is a flowchart illustrating a second embodiment of a risk linkage management and control method according to the present invention;
fig. 3 is a block diagram of a risk linkage management and control device according to an embodiment of the present invention.
Detailed Description
The embodiment of the invention provides a risk linkage management and control method and device, electronic equipment and a storage medium, which are used for carrying out real-time statistics and analysis on data by using different statistical models and determining a management and control plan according to an analysis result, so that the timeliness and the efficiency of a risk management and control process are improved.
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the embodiments described below are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In a first embodiment, please refer to fig. 1, where fig. 1 is a flowchart illustrating a first step of a risk linkage management and control method according to a first embodiment of the present invention, which specifically includes the following steps:
s101, respectively acquiring operation and maintenance plan risk information and power supply risk equipment risk information from a production management system, and acquiring operation information from a safety supervision system;
s102, evaluating the operation and maintenance plan risk information by adopting a pre-constructed power grid risk model to obtain a power grid risk level;
s103, evaluating the operation and maintenance plan risk information by adopting a pre-constructed power grid risk model to obtain a power grid risk level;
s104, obtaining an operation risk grade based on the operation information and in combination with an operation risk evaluation project;
and S105, determining an optimal management and control plan according to the power grid operation risk level, the power grid operation risk level and the operation risk level.
The embodiment of the invention provides a risk linkage management and control method, which comprises the steps of respectively obtaining operation and maintenance plan risk information and power supply risk equipment risk information from a production management system, and obtaining operation information from a safety supervision system; evaluating the operation and maintenance plan risk information by adopting a pre-constructed power grid risk model to obtain a power grid risk grade; evaluating the power supply risk equipment information by adopting a pre-constructed equipment risk model to obtain an equipment risk level; based on the operation information, obtaining an operation risk grade by combining an operation risk evaluation project; and determining an optimal management and control plan according to the power grid operation risk level, the index data and the operation risk level. The method comprises the steps of utilizing different statistical models to conduct real-time statistics on acquired power grid risk, equipment risk and operation risk data respectively, analyzing statistical results, determining an optimal risk management and control plan in a short time according to power grid risk statistical results, equipment risk statistical results and operation risk statistical results, and solving the problem that the statistical results cannot be used in a management and control mode in time in the existing risk management and control method.
In a second embodiment, please refer to fig. 2, and fig. 2 is a flowchart illustrating a second step of the risk linkage management and control method according to the second embodiment of the present invention, which specifically includes the following steps:
s201, respectively acquiring operation and maintenance plan risk information and power supply risk equipment risk information from a production management system, and acquiring operation information from a safety supervision system;
s202, obtaining the scores of all risk factors in the operation and maintenance plan risk information, and inputting the scores of all risk factors in the operation and maintenance plan risk information into the power grid risk model to obtain a power grid comprehensive risk score;
in an optional embodiment, the operation and maintenance plan risk information includes: power grid risk information and personnel risk information; obtaining the scores of the risk factors in the operation and maintenance plan risk information, and inputting the scores of the risk factors in the operation and maintenance plan risk information into the power grid risk model to obtain a power grid comprehensive risk score, including:
adding the scores of all risk factors of the power grid risk information to obtain the scores of all risk factors of the power grid risk information;
adding the scores of all risk factors of the personnel risk information to obtain the scores of all risk factors of the personnel risk information;
and inputting the scores of all risk factors of the power grid risk information and the scores of all risk factors of the personnel risk information into the power grid risk model to obtain the comprehensive risk score of the power grid.
In the specific implementation, the scores of all risk factors of the power grid risk information are added, namely the scores of all risk factors of the power grid risk information are added, and the scores of all risk factors of the personnel risk information are added, namely the scores of all risk factors of the personnel risk information are added; and then, importing the scores of all risk factors of the power grid risk information and the scores of all risk factors of the personnel risk information into a power grid risk model to obtain the comprehensive risk score of the power grid.
The power grid risk model specifically comprises the following steps:
S1＝aE1+bE2
wherein S1For the comprehensive risk score of the grid, E1Score of all risk factors for grid risk information, E2The scores of all risk factors of the personnel risk information are shown as a risk index of the risk in the power grid and b is the risk index of the risk of the personnel.
It should be noted that, the scores of all risk factors of the specific grid risk information and all risk factors of the personnel risk information, as well as the risk index of the grid risk and the risk index of the personnel risk, may be provided according to statistics of the large system platform, or may be set by a senior specialist, which is not limited herein.
S203, determining the risk level of the power grid operation risk according to the power grid comprehensive risk value;
s204, obtaining the scores of all risk factors in the power supply equipment risk information, and inputting the scores of all risk factors in the power supply equipment risk information into the operation risk model to obtain an equipment comprehensive risk score;
in an optional embodiment, the power supply equipment risk information includes: state risk information and equipment defect information; obtaining the scores of the risk factors in the power supply equipment risk information, inputting the scores of the risk factors in the power supply equipment risk information into the operation risk model, and obtaining an equipment comprehensive risk score, wherein the equipment comprehensive risk score comprises:
adding the scores of all risk factors of the state risk information to obtain the scores of all risk factors of the state risk information;
adding the scores of the risk factors of the equipment defect information to obtain the scores of all the risk factors of the equipment defect information;
and inputting the scores of all risk factors of the state risk information and the scores of all risk factors of the equipment defect information into the equipment risk model to obtain the comprehensive risk score of the equipment.
In a specific implementation, the scores of all risk factors of the state risk information are added to obtain the scores of all risk factors of the state risk information, and the scores of all risk factors of the equipment defect information are added to obtain the scores of all risk factors of the equipment defect information; and then importing the scores of all risk factors of the equipment defect information and the scores of all risk factors of the power grid risk into an equipment risk model to obtain the comprehensive risk score of the equipment.
The equipment risk model specifically comprises the following steps:
S2＝cE3+dE4
wherein S2For the equipment composite risk score, E3All risk factor scores for state risk information, E4The score of all risk factors of the equipment defect information, c is the risk index of the state risk, and d is the risk index of the equipment defect.
It should be noted that the risk factor score of the specific state risk information and equipment defect information, as well as the risk index of the state risk and the risk index of the equipment defect, may be provided according to statistics of the large system platform, or may be set by the expert, and the present invention is not limited herein.
S205, determining the risk level of the equipment operation risk according to the equipment comprehensive risk score;
s206: reading operation measures, operation risk categories and operation risk consequences in the operation information;
s207: matching the operation measures, the operation risk categories and the operation risk consequences in the operation risk assessment project, and respectively determining occurrence probability and risk values corresponding to the operation measures, the operation risk categories and the operation risk consequences;
s208: obtaining an operation comprehensive risk value according to the operation measures, the operation risk category and the occurrence probability and the risk value corresponding to the risk consequence;
in an optional embodiment, obtaining an operation comprehensive risk score according to the operation measure, the operation risk category, and the occurrence probability and the risk value corresponding to the risk consequence includes:
multiplying the occurrence probability corresponding to the operation measure by a risk value to obtain a risk measure value;
multiplying the occurrence probability of the operation risk category by the risk value to obtain a risk category value;
multiplying the occurrence probability of the operation risk consequence by a risk value to obtain a risk consequence value;
and accumulating the risk measure score, the risk category score and the risk consequence score to obtain the operation comprehensive risk score.
In the concrete implementation, the risk value corresponding to the operation measure is multiplied to obtain a risk measure score, the occurrence probability corresponding to the operation risk category of the operation measure score table is multiplied by the risk value to obtain a risk category score, the occurrence probability of the operation risk consequence is multiplied by the risk value to obtain a risk consequence score, and then the risk measure score, the risk category score and the risk consequence score are added to obtain the operation comprehensive risk score.
It should be noted that, the specific operation measures, operation risk categories, occurrence probability of operation line-of-defense consequences and risk value criteria may be provided according to statistics of the large system platform, or may be set by a senior expert, and the present invention is not limited herein.
S209: determining the risk level of the operation risk according to the operation comprehensive risk value;
s210: and determining an optimal management and control plan according to the power grid operation risk level, the power grid operation risk level and the operation risk level.
The invention provides a risk linkage management and control method, which comprises the steps of respectively obtaining operation and maintenance plan risk information and power supply risk equipment risk information from a production management system, and obtaining operation information from a safety supervision system; evaluating the operation and maintenance plan risk information by adopting a pre-constructed power grid risk model to obtain a power grid risk grade; evaluating the power supply risk equipment information by adopting a pre-constructed equipment risk model to obtain an equipment risk level; based on the operation information, obtaining an operation risk grade by combining an operation risk evaluation project; and determining an optimal management and control plan according to the power grid operation risk level, the index data and the operation risk level. The method comprises the steps of utilizing different statistical models to conduct real-time statistics on acquired power grid risk, equipment risk and operation risk data respectively, analyzing statistical results, determining an optimal risk management and control plan in a short time according to power grid risk statistical results, equipment risk statistical results and operation risk statistical results, and solving the problem that the statistical results cannot be used in a management and control mode in time in the existing risk management and control method.
Referring to fig. 3, a block diagram of an embodiment of a risk linkage management and control device is shown, including:
the information acquisition module 101 is used for respectively acquiring operation and maintenance plan risk information and power supply risk equipment risk information from a production management system and acquiring operation information from a safety supervision system;
the power grid risk level determining module 102 is configured to evaluate the operation and maintenance plan risk information by using a pre-constructed power grid risk model, and determine a power grid risk level;
the equipment risk level determining module 103 is used for evaluating the power supply risk equipment information by adopting a pre-constructed equipment risk model and determining an equipment risk level;
the operation risk level determination module 104 is configured to determine an operation risk level based on the operation information and in combination with an operation risk assessment item;
and a control plan determining module 105, configured to determine an optimal control plan according to the power grid operation risk level, and the operation risk level.
In an optional embodiment, the grid risk level determination module 102 includes:
the first obtaining sub-module is used for obtaining the values of all risk factors in the operation and maintenance plan risk information and inputting the values of all risk factors in the operation and maintenance plan risk information into the power grid risk model to obtain a comprehensive risk value of the power grid;
and the first risk grade determining submodule is used for determining the risk grade of the power grid operation risk according to the power grid comprehensive risk score.
In an optional embodiment, the operation and maintenance plan risk information includes: power grid risk information and personnel risk information; the first acquisition sub-module includes:
the power grid risk score determining unit is used for adding the scores of all risk factors of the power grid risk information to obtain the scores of all risk factors of the power grid risk information;
the personnel risk score determining unit is used for adding the scores of all risk factors of the personnel risk information to obtain the scores of all risk factors of the personnel risk information;
and the power grid comprehensive risk score determining unit is used for inputting the scores of all risk factors of the power grid risk information and the scores of all risk factors of the personnel risk information into the power grid risk model to obtain the power grid comprehensive risk score.
In an optional embodiment, the device risk level determination module 103 comprises:
the second obtaining submodule is used for obtaining the scores of all risk factors in the power supply equipment risk information and inputting the scores of all risk factors in the power supply equipment risk information into the operation risk model to obtain an equipment comprehensive risk score;
and the second risk grade determining submodule is used for determining the risk grade of the equipment operation risk according to the equipment comprehensive risk score.
In an optional embodiment, the power supply equipment risk information includes: state risk information and equipment defect information; the second acquisition sub-module includes:
the state risk score determining unit is used for adding the scores of all risk factors of the state risk information to obtain the scores of all risk factors of the state risk information;
the defect risk score determining unit is used for adding the scores of all risk factors of the equipment defect information to obtain the scores of all risk factors of the equipment defect information;
and the equipment comprehensive risk score determining unit is used for inputting the scores of all risk factors of the state risk information and the scores of all risk factors of the equipment defect information into the equipment risk model to obtain the equipment comprehensive risk score.
In an alternative embodiment, the job risk level determination module 104 includes:
the reading sub-module is used for reading the operation measures, the operation risk category and the operation risk consequences in the operation information;
the parameter determination submodule is used for matching the operation measures, the operation risk categories and the risk consequences in the operation risk evaluation project and respectively determining the occurrence probability and the risk value corresponding to the operation measures, the operation risk categories and the risk consequences;
the operation comprehensive risk score determining submodule is used for obtaining an operation comprehensive risk score according to the operation measures, the operation risk category and the occurrence probability and the risk value corresponding to the operation risk consequence;
and the risk grade determining submodule is used for determining the risk grade of the operation risk of the operation according to the operation comprehensive risk score.
In an optional embodiment, the job composite risk score determination sub-module comprises:
a risk measure score determining unit, configured to multiply the occurrence probability corresponding to the operation measure by a risk value to obtain a risk measure score;
a risk category score determining unit, configured to multiply the occurrence probability of the operation risk category by a risk value to obtain a risk category score;
a risk consequence score determining unit, configured to multiply the occurrence probability of the operation risk consequence by a risk value to obtain a risk consequence score;
and the operation comprehensive risk score determining unit is used for accumulating the risk measure score, the risk category score and the risk consequence score to obtain the operation comprehensive risk score.
The embodiment of the present invention further provides an electronic device, which includes a memory and a processor, where the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the risk linkage management and control method according to any one of the above embodiments.
The embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by the processor, the method for managing and controlling risk linkage according to any of the above embodiments is implemented.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working process of the apparatus described above may refer to the corresponding process in the foregoing method embodiment, and is not described herein again.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A method for risk linkage management and control is characterized by comprising the following steps:
respectively acquiring operation and maintenance plan risk information and power supply risk equipment risk information from a production management system, and acquiring operation information from a safety supervision system;
evaluating the operation and maintenance plan risk information by adopting a pre-constructed power grid risk model to obtain a power grid risk grade;
evaluating the power supply risk equipment information by adopting a pre-constructed equipment risk model to obtain an equipment risk level;
based on the operation information, obtaining an operation risk grade by combining an operation risk evaluation project;
and determining an optimal management and control plan according to the power grid operation risk level, the power grid operation risk level and the operation risk level.
2. The risk linkage management and control method according to claim 1, wherein a pre-established grid risk model is adopted to evaluate the operation and maintenance plan risk information to obtain a grid risk level, and the method comprises the following steps:
obtaining the values of all risk factors in the operation and maintenance plan risk information, and inputting the values of all risk factors in the operation and maintenance plan risk information into the power grid risk model to obtain a power grid comprehensive risk value;
and determining the risk grade of the power grid operation risk according to the power grid comprehensive risk value.
3. The method for risk linkage management and control according to claim 2, wherein the operation and maintenance plan risk information includes: power grid risk information and personnel risk information; obtaining the scores of the risk factors in the operation and maintenance plan risk information, and inputting the scores of the risk factors in the operation and maintenance plan risk information into the power grid risk model to obtain a power grid comprehensive risk score, including:
adding the scores of all risk factors of the power grid risk information to obtain the scores of all risk factors of the power grid risk information;
adding the scores of all risk factors of the personnel risk information to obtain the scores of all risk factors of the personnel risk information;
and inputting the scores of all risk factors of the power grid risk information and the scores of all risk factors of the personnel risk information into the power grid risk model to obtain the comprehensive risk score of the power grid.
4. The method for managing and controlling the risk linkage according to any one of claims 1 to 3, wherein the step of evaluating the power supply risk equipment information by using a pre-constructed equipment risk model to obtain index data of equipment risk comprises the steps of:
obtaining the values of all risk factors in the power supply equipment risk information, and inputting the values of all risk factors in the power supply equipment risk information into the operation risk model to obtain an equipment comprehensive risk value;
and determining the risk grade of the equipment operation risk according to the equipment comprehensive risk score.
5. The risk linkage management and control method according to claim 4, wherein the power supply equipment risk information includes: state risk information and equipment defect information; obtaining the scores of the risk factors in the power supply equipment risk information, inputting the scores of the risk factors in the power supply equipment risk information into the operation risk model, and obtaining an equipment comprehensive risk score, wherein the equipment comprehensive risk score comprises:
adding the scores of all risk factors of the state risk information to obtain the scores of all risk factors of the state risk information;
adding the scores of the risk factors of the equipment defect information to obtain the scores of all the risk factors of the equipment defect information;
and inputting the scores of all risk factors of the state risk information and the scores of all risk factors of the equipment defect information into the equipment risk model to obtain the comprehensive risk score of the equipment.
6. The risk linkage management and control method according to any one of claims 1 to 5, wherein the operation information includes operation measures, operation risk categories and operation risk consequences, and based on the operation risk information, in combination with an operation risk assessment project, an operation risk level is obtained, including:
reading operation measures, operation risk categories and operation risk consequences in the operation information;
matching the operation measures, the operation risk categories and the risk consequences in the operation risk assessment project, and respectively determining the occurrence probability and the risk value corresponding to the operation measures, the operation risk categories and the risk consequences;
obtaining an operation comprehensive risk value according to the operation measures, the operation risk category and the occurrence probability and the risk value corresponding to the operation risk result;
and determining the risk grade of the operation risk of the operation according to the operation comprehensive risk value.
7. The risk linkage management and control method according to claim 6, wherein obtaining a comprehensive risk score of the operation according to the operation measures, the operation risk category and the occurrence probability and the risk value corresponding to the operation risk consequence comprises:
multiplying the occurrence probability of the operation measures by the risk value to obtain a risk measure value;
multiplying the occurrence probability of the operation risk category by the risk value to obtain a risk category value;
multiplying the occurrence probability of the operation risk consequence by a risk value to obtain a risk consequence value;
and accumulating the risk measure score, the risk category score and the risk consequence score to obtain the operation comprehensive risk score.
8. A risk linkage management and control device, characterized in that includes:
the information acquisition module is used for respectively acquiring operation and maintenance plan risk information and power supply risk equipment risk information from the production management system and acquiring operation information from the safety supervision system;
the power grid risk level determining module is used for evaluating the operation and maintenance plan risk information by adopting a pre-constructed power grid risk model and determining a power grid risk level;
the equipment risk level determining module is used for evaluating the power supply risk equipment information and determining an equipment risk level by adopting a pre-constructed equipment risk model;
the operation risk level determination module is used for determining an operation risk level by combining operation risk evaluation items based on the operation information;
and the control plan determining module is used for determining an optimal control plan according to the power grid operation risk level, the power grid operation risk level and the operation risk level.
9. An electronic device comprising a processor and a memory, the memory storing computer readable instructions that, when executed by the processor, perform the method of any one of claims 1-7.
10. A storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, performs the method according to any of claims 1-7.
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