CN114154915A - Data processing method and device for risk management and control of power equipment - Google Patents
Data processing method and device for risk management and control of power equipment Download PDFInfo
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- CN114154915A CN114154915A CN202111523585.1A CN202111523585A CN114154915A CN 114154915 A CN114154915 A CN 114154915A CN 202111523585 A CN202111523585 A CN 202111523585A CN 114154915 A CN114154915 A CN 114154915A
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
The invention discloses a data processing method and a data processing device for risk management and control of power equipment, wherein the method comprises the following steps: acquiring parameter information of the electrical equipment; the power equipment parameter information comprises equipment level information, equipment quality information and equipment management information; the device level information is related to the level of the electrical device; the equipment management information is related to the overhaul period of the power equipment; the equipment quality information is related to quality defects of the power equipment; carrying out risk evaluation processing on the parameter information of the electrical equipment by using a preset risk linkage evaluation model to obtain risk grade information; the risk handling information is used for indicating a release operation corresponding to the risk to the electric power equipment. Therefore, the method and the device are beneficial to realizing linkage analysis processing among the power grid risk, the equipment risk and the operation risk, improving the accuracy of risk analysis, improving the working efficiency and reducing the risk management cost.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a data processing method and device for risk management and control of power equipment.
Background
The current power equipment generally has three risks of power grid risk, equipment risk and operation risk, but because the risk linkage processing method is imperfect, not only the accuracy of risk analysis is not high, but also the working efficiency of risk management and control is relatively low. Therefore, the data processing method and device for risk control of the power equipment are provided to realize linkage analysis and processing among the power grid risk, the equipment risk and the operation risk, improve accuracy of risk analysis, improve working efficiency and reduce risk management cost.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a data processing method and device for risk management and control of electrical equipment, which can perform risk evaluation processing on parameter information of the electrical equipment by using a risk linkage evaluation model to obtain risk grade information, and further determine risk handling information for indicating that the corresponding risk of the electrical equipment is removed, thereby being beneficial to realizing linkage analysis processing among power grid risk, equipment risk and operation risk, improving accuracy of risk analysis, improving working efficiency and reducing risk management cost.
In order to solve the technical problem, a first aspect of the embodiments of the present invention discloses a data processing method for risk management and control of electrical equipment, where the method includes:
acquiring parameter information of the electrical equipment; the power equipment parameter information comprises equipment level information, equipment quality information and equipment management information; the device level information is related to a level of an electrical device; the equipment management information is related to the overhaul period of the power equipment; the equipment quality information is related to quality defects of the power equipment;
performing risk evaluation processing on the parameter information of the electrical equipment by using a preset risk linkage evaluation model to obtain risk grade information; the risk level information comprises risk levels and/or equipment problem information;
determining risk disposal information according to the risk grade information; the risk disposal information comprises risk release information and/or equipment maintenance information and/or risk supervision information; the risk handling information is used for indicating the release operation of the corresponding risk of the electric equipment.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, the performing risk assessment processing on the parameter information of the electrical equipment by using a preset risk linkage assessment model to obtain risk level information includes:
calculating the parameter information of the electric power equipment by using a preset equipment risk evaluation model to obtain risk value information;
and identifying the risk value information to obtain risk grade information.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, the device risk assessment model includes a quality risk scoring model, and/or a device risk scoring model;
the calculating processing is carried out on the parameter information of the electric power equipment by utilizing a preset equipment risk assessment model to obtain risk value information, and the method comprises the following steps:
matching the equipment level information to obtain equipment level score information;
calculating the equipment quality information by using the quality risk scoring model to obtain equipment quality score information;
matching the equipment management information to obtain equipment management score information;
and calculating and processing the equipment level score information, the equipment quality score information and the equipment management score information by using the equipment risk scoring model to obtain risk value information.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, the identifying the risk value information to obtain the risk level information includes:
matching the risk value information by using a preset risk value interval information set to obtain target risk value interval information; the risk score interval information set comprises L pieces of risk score interval information; l is a positive integer greater than or equal to 3;
and determining that the score grade information corresponding to the target risk score interval information is risk grade information.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, the determining risk handling information according to the risk level information includes:
converting the risk grade information to obtain the risk release information;
matching the risk level to obtain a risk management and control disposal model;
and processing the equipment problem information by using the risk management and control disposal model to obtain the equipment overhaul information.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, after the processing the equipment problem information by using the risk management and control treatment model to obtain the equipment overhaul information, the method includes:
judging whether the risk level meets a supervision condition or not to obtain a supervision judgment result;
and when the supervision judgment result is yes, processing the risk grade information and the equipment maintenance information to obtain risk supervision information.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, after determining risk handling information according to the risk level information, the method further includes:
acquiring information of electric power equipment to be evaluated;
performing risk assessment on the to-be-assessed electric power equipment information by using a preset equipment risk assessment model to obtain to-be-assessed risk scoring information;
judging whether the to-be-evaluated risk scoring information is smaller than or equal to a preset evaluation threshold value or not to obtain an evaluation judgment result;
and when the evaluation judgment result is negative, determining the risk grade information according to the to-be-evaluated risk grade information, and triggering execution to determine risk disposal information according to the risk grade information.
The second aspect of the embodiments of the present invention discloses a data processing apparatus for risk management and control of electrical equipment, the apparatus including:
the acquisition module is used for acquiring parameter information of the electrical equipment; the power equipment parameter information comprises equipment level information, equipment quality information and equipment management information; the device level information is related to a level of an electrical device; the equipment management information is related to the overhaul period of the power equipment; the equipment quality information is related to quality defects of the power equipment;
the first processing module is used for carrying out risk evaluation processing on the parameter information of the electrical equipment by using a preset risk linkage evaluation model to obtain risk grade information; the risk level information comprises risk levels and/or equipment problem information;
the first determining module is used for determining risk disposal information according to the risk level information; the risk disposal information comprises risk release information and/or equipment maintenance information and/or risk supervision information; the risk handling information is used for indicating the release operation of the corresponding risk of the electric equipment.
As one such optional implementation manner, in the second aspect of the embodiment of the present invention, the first processing module includes a first processing sub-module and a second processing sub-module, wherein:
the first processing submodule is used for calculating and processing the parameter information of the electric power equipment by using a preset equipment risk evaluation model to obtain risk value information;
and the second processing submodule is used for identifying and processing the risk value information to obtain risk grade information.
As a further alternative, in the second aspect of the embodiments of the present invention, the device risk assessment model includes a quality risk score model, and/or a device risk score model;
the first processing submodule calculates and processes the power equipment parameter information by using a preset equipment risk evaluation model, and the specific mode of obtaining the risk value information is as follows:
matching the equipment level information to obtain equipment level score information;
calculating the equipment quality information by using the quality risk scoring model to obtain equipment quality score information;
matching the equipment management information to obtain equipment management score information;
and calculating and processing the equipment level score information, the equipment quality score information and the equipment management score information by using the equipment risk scoring model to obtain risk value information.
As an optional implementation manner, in the second aspect of the embodiment of the present invention, the second processing sub-module performs identification processing on the risk value information, and a specific manner of obtaining the risk level information is as follows:
matching the risk value information by using a preset risk value interval information set to obtain target risk value interval information; the risk score interval information set comprises L pieces of risk score interval information; l is a positive integer greater than or equal to 3;
and determining that the score grade information corresponding to the target risk score interval information is risk grade information.
As a specific implementation manner of this optional implementation manner, in a second aspect of the embodiment of the present invention, the specific manner in which the first determining module determines the risk disposition information according to the risk level information is as follows:
converting the risk grade information to obtain the risk release information;
matching the risk level to obtain a risk management and control disposal model;
and processing the equipment problem information by using the risk management and control disposal model to obtain the equipment overhaul information.
As an optional implementation manner, in a second aspect of the embodiment of the present invention, after the first determining module processes the equipment problem information by using the risk management and control treatment model to obtain the equipment overhaul information, the apparatus includes:
the first judgment module is used for judging whether the risk level meets the supervision condition or not to obtain a supervision judgment result;
and the second processing module is used for processing the risk grade information and the equipment overhaul information to obtain risk supervision information when the supervision judgment result is yes.
As a possible implementation manner, in the second aspect of the embodiment of the present invention, after the first determining module determines the risk handling information according to the risk level information, the obtaining module is further configured to obtain information of the electrical equipment to be evaluated;
the device further comprises:
the third processing module is used for carrying out risk assessment on the to-be-assessed electric power equipment information by using a preset equipment risk assessment model to obtain to-be-assessed risk scoring information;
the second judgment module is used for judging whether the to-be-evaluated risk scoring information is smaller than or equal to a preset evaluation threshold value or not to obtain an evaluation judgment result;
and the second determining module is used for determining the risk grade information according to the to-be-evaluated risk grade information and triggering execution to determine risk handling information according to the risk grade information when the evaluation judgment result is negative.
The third aspect of the present invention discloses another data processing apparatus for risk management and control of electrical equipment, the apparatus including:
a memory storing executable program code;
a processor coupled with the memory;
the processor calls the executable program codes stored in the memory to execute part or all of the steps in the data processing method for electric power equipment risk management and control disclosed by the first aspect of the embodiment of the invention.
A fourth aspect of the present invention discloses a computer storage medium, where the computer storage medium stores computer instructions, and when the computer instructions are called, the computer instructions are used to execute some or all of the steps in the data processing method for risk management and control of electrical equipment disclosed in the first aspect of the embodiments of the present invention.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
in the embodiment of the invention, the parameter information of the electrical equipment is obtained; the power equipment parameter information comprises equipment level information, equipment quality information and equipment management information; the device level information is related to the level of the electrical device; the equipment management information is related to the overhaul period of the power equipment; the equipment quality information is related to quality defects of the power equipment; carrying out risk evaluation processing on the parameter information of the electrical equipment by using a preset risk linkage evaluation model to obtain risk grade information; the risk level information comprises risk levels and/or equipment problem information; determining risk disposal information according to the risk grade information; the risk disposal information comprises risk release information and/or equipment maintenance information and/or risk supervision information; the risk handling information is used for indicating a release operation corresponding to the risk to the electric power equipment. Therefore, the risk linkage evaluation model can be used for carrying out risk evaluation processing on the parameter information of the electric power equipment to obtain the risk grade information, and further determining the risk disposal information for indicating the corresponding risk of the electric power equipment to be relieved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flowchart of a data processing method for risk management and control of electrical equipment according to an embodiment of the present invention;
fig. 2 is a schematic flowchart of another data processing method for risk management and control of electrical devices according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a data processing apparatus for risk management and control of electrical devices according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of another data processing apparatus for risk management and control of electrical devices according to an embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of another data processing apparatus for risk management and control of electrical devices according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments 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.
The terms "first," "second," and the like in the description and claims of the present invention and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, apparatus, product, or apparatus that comprises a list of steps or elements is not limited to those listed but may alternatively include other steps or elements not listed or inherent to such process, method, product, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the invention. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
The invention discloses a data processing method and device for risk management and control of electric power equipment, which can utilize a risk linkage evaluation model to carry out risk evaluation processing on parameter information of the electric power equipment to obtain risk grade information, further determine risk handling information for indicating to remove operation on corresponding risks of the electric power equipment, are beneficial to realizing linkage analysis processing among power grid risks, equipment risks and operation risks, improve the accuracy of risk analysis, improve the working efficiency and reduce the risk management cost. The following are detailed below.
Example one
Referring to fig. 1, fig. 1 is a schematic flowchart illustrating a data processing method for risk management and control of electrical equipment according to an embodiment of the present invention. The data processing method for risk management and control of electrical equipment described in fig. 1 is applied to a data processing system, such as a local server or a cloud server for data processing and management of risk management and control of electrical equipment, and the embodiment of the present invention is not limited thereto. As shown in fig. 1, the data processing method for risk management and control of power equipment may include the following operations:
101. and acquiring parameter information of the electrical equipment.
In an embodiment of the present invention, the power device parameter information includes device level information, device quality information, and device management information.
In the embodiment of the present invention, the device level information is related to the level of the electrical device.
In the embodiment of the invention, the equipment management information is related to the overhaul period of the power equipment.
In the embodiment of the invention, the equipment quality information is related to the quality defect of the power equipment.
102. And carrying out risk evaluation processing on the parameter information of the electrical equipment by using a preset risk linkage evaluation model to obtain risk grade information.
In an embodiment of the present invention, the risk level information includes a risk level and/or equipment problem information.
103. And determining risk disposal information according to the risk grade information.
In an embodiment of the present invention, the risk handling information includes risk release information, and/or equipment maintenance information, and/or risk supervision information.
In an embodiment of the present invention, the risk handling information is used to indicate a release operation of a risk corresponding to the electrical device.
Optionally, the operation of removing the risk corresponding to the power equipment includes equipment maintenance, and/or equipment overhaul, and/or equipment survey, and the embodiment of the present invention is not limited.
Therefore, by implementing the data processing method for the risk management and control of the electrical equipment, which is described in the embodiment of the invention, the risk linkage evaluation model can be used for carrying out risk evaluation processing on the parameter information of the electrical equipment to obtain the risk grade information, and further the risk handling information for indicating the corresponding risk of the electrical equipment to be relieved is determined, so that the linkage analysis processing among the power grid risk, the equipment risk and the operation risk is favorably realized, the accuracy of the risk analysis is improved, the working efficiency is improved, and the risk management cost is reduced.
In an optional embodiment, in step 102, the risk assessment processing is performed on the parameter information of the electrical equipment by using a preset risk linkage assessment model, so as to obtain risk level information, where the method includes:
calculating the parameter information of the electric power equipment by using a preset equipment risk evaluation model to obtain risk value information;
and identifying the risk value information to obtain risk grade information.
Optionally, the risk level information includes a risk level, and/or equipment problem information, and/or equipment encoding information, which is not limited in the embodiment of the present invention.
Optionally, the risk level includes a high risk, and/or a medium risk, and/or a low risk, and embodiments of the present invention are not limited thereto.
Therefore, the data processing method for the risk management and control of the electrical equipment, which is described in the embodiment of the invention, can calculate and identify the parameter information of the electrical equipment by using the equipment risk assessment model to obtain the risk level information, is favorable for realizing the linkage analysis and processing among the power grid risk, the equipment risk and the operation risk, improves the accuracy of the risk analysis, improves the working efficiency and reduces the risk management cost.
In another alternative embodiment, the equipment risk assessment model comprises a quality risk scoring model, and/or an equipment risk scoring model;
calculating and processing the parameter information of the electrical equipment by using a preset equipment risk assessment model to obtain risk value information, wherein the risk value information comprises:
matching the equipment level information to obtain equipment level score information;
calculating and processing the equipment quality information by using a quality risk scoring model to obtain equipment quality score information;
matching the equipment management information to obtain equipment management score information;
and calculating and processing the equipment level score information, the equipment quality score information and the equipment management score information by using the equipment risk scoring model to obtain risk value information.
Optionally, the device level information includes a level I, or a level II, a level III, and a level IV, which is not limited in the embodiment of the present invention.
Optionally, the device level score information includes a device level score and/or device coding information, which is not limited in the embodiment of the present invention.
Optionally, each piece of device level information corresponds to a unique device level score.
Optionally, the device management information includes overhaul timeout and/or device coding information, which is not limited in the embodiment of the present invention.
Optionally, the device management score information includes a device management score and/or device coding information, which is not limited in the embodiment of the present invention.
Optionally, the overhaul timeout period includes less than 3 months, or, greater than or equal to 3 months.
Optionally, each overhaul timeout corresponds to a unique device management score.
In this alternative embodiment, as an alternative implementation, the device quality information includes a familial defect, and/or an existing defect, and/or a defect expiration, counter information, and/or device coding information, which is not limited by the embodiments of the present invention.
Optionally, the device quality score information includes a device quality score and/or device coding information, which is not limited in the embodiment of the present invention.
The specific way of calculating and processing the equipment quality information by using the quality risk scoring model to obtain the equipment quality score information is as follows:
matching the existing defects by using a preset defect set to be selected to obtain the score of the existing defects;
matching the defect overrun by using a preset to-be-selected overrun defect set to obtain a defect factor;
processing the measure-counteracting information to obtain a measure-counteracting value;
judging whether the countermeasure information contains familial defects or not to obtain a defect judgment result;
when the defect judgment result is yes, determining that the familial defect score is zero;
when the defect judgment result is negative, matching the familial defect score to obtain a familial defect score;
and calculating the existing defect score, the defect factor, the counter measure score and the familial defect score by using a quality risk scoring model to obtain the equipment quality score.
Optionally, the quality risk score model is in the form of:
K2＝K21+K22*K23+K24。
wherein: k2 is the device quality score, the familial defect score is K21, K22 is the existing defect score, K23 is the defect factor, and K24 is the counter score.
Optionally, the defect set to be selected includes M defects to be selected.
Optionally, M is a positive integer greater than or equal to 4.
Optionally, each defect to be selected corresponds to a unique defect score to be selected.
Optionally, the to-be-selected overdue defect set includes N to-be-selected overdue defects.
Optionally, N is a positive integer greater than or equal to 2.
Optionally, the candidate overdue defect corresponds to a unique score of the candidate overdue defect.
Optionally, the risk value information includes a risk value and/or device coding information, which is not limited in the embodiment of the present invention.
Optionally, the device risk scoring model is in the form of:
K＝K1+K2+K3。
wherein: k is the risk value, K1 is the equipment level score, and K3 is the equipment management score.
Therefore, by implementing the data processing method for managing and controlling the risk of the power equipment, which is described in the embodiment of the invention, the risk value information can be obtained by comprehensively processing the backup level information, the equipment quality information and the equipment management information, so that the method is beneficial to realizing the linkage analysis processing among the power grid risk, the equipment risk and the operation risk, improving the accuracy of risk analysis, improving the working efficiency and reducing the risk management cost.
In another optional embodiment, the identifying the risk value information to obtain the risk level information includes:
matching the risk value information by using a preset risk value interval information set to obtain target risk value interval information; the risk score interval information set comprises L pieces of risk score interval information; l is a positive integer greater than or equal to 3;
and determining the score grade information corresponding to the target risk score interval information as risk grade information.
Optionally, each risk level corresponds to only one risk score interval information.
Optionally, the matching processing on the risk value information is implemented by matching score characteristic information corresponding to the risk score interval information with risk value characteristic information corresponding to the risk value information.
Therefore, the data processing method for the risk management and control of the power equipment, which is described in the embodiment of the invention, can determine the risk level information through the matching processing of the risk value interval information, is more favorable for realizing the linkage analysis processing among the power grid risk, the equipment risk and the operation risk, improves the accuracy of the risk analysis, improves the working efficiency and reduces the risk management cost.
In another optional embodiment, after determining the risk treatment information according to the risk level information, the method further comprises:
acquiring information of electric power equipment to be evaluated;
performing risk assessment on the to-be-assessed electric power equipment information by using a preset equipment risk assessment model to obtain to-be-assessed risk scoring information;
judging whether the to-be-evaluated risk scoring information is smaller than or equal to a preset evaluation threshold value or not to obtain an evaluation judgment result;
and when the evaluation judgment result is negative, determining risk grade information according to the to-be-evaluated risk grading information, and triggering execution to determine risk disposal information according to the risk grade information.
Optionally, the evaluation threshold is associated with a risk level.
Optionally, the information about the risk score to be evaluated includes a risk score to be evaluated and/or device coding information, which is not limited in the embodiment of the present invention.
Preferably, the evaluation threshold is 30.
Therefore, the data processing method for managing and controlling the risk of the power equipment, which is described in the embodiment of the invention, can determine the processing program by evaluating the information of the power equipment to be evaluated and judging the evaluation threshold, so that the method is more favorable for realizing the linkage analysis and processing among the power grid risk, the equipment risk and the operation risk, the accuracy of risk analysis is improved, the working efficiency is improved, and the risk management cost is reduced.
Example two
Referring to fig. 2, fig. 2 is a schematic flowchart illustrating another data processing method for risk management and control of power equipment according to an embodiment of the present invention. The data processing method for risk management and control of the electrical device described in fig. 2 is applied to a data processing system, such as a local server or a cloud server for data processing and management of risk management and control of the electrical device, and the embodiment of the present invention is not limited thereto. As shown in fig. 2, the data processing method for risk management and control of power equipment may include the following operations:
201. and acquiring parameter information of the electrical equipment.
202. And carrying out risk evaluation processing on the parameter information of the electrical equipment by using a preset risk linkage evaluation model to obtain risk grade information.
203. And converting the risk grade information to obtain risk release information.
204. And matching the risk level to obtain a risk management and control disposal model.
205. And processing the equipment problem information by using a risk management and control disposal model to obtain equipment maintenance information.
In the embodiment of the present invention, for specific technical details and technical noun explanations of step 201 to step 202, reference may be made to the detailed description of step 101 to step 102 in the first embodiment, and details are not repeated in the embodiment of the present invention.
Optionally, the risk issue information includes a risk notification sheet, and/or a risk level, and/or device coding information, which is not limited in the embodiment of the present invention.
Optionally, each risk level corresponds to a unique risk management treatment model.
Optionally, the risk issue information and the equipment overhaul information are sent to the first-level platform.
Optionally, the equipment overhaul information corresponding to the high risk and the medium risk in the risk level includes a first special patrol order, and/or risk equipment operation state tracking information, and/or equipment encoding information, which is not limited in the embodiment of the present invention.
Optionally, the equipment overhaul information corresponding to the low risk in the risk level includes a second special patrol order, and/or risk equipment operation state tracking information, and/or equipment encoding information, which is not limited in the embodiment of the present invention.
Optionally, the second special patrol ticket is set in units of days.
Therefore, the data processing method for the risk management and control of the electrical equipment, which is described in the embodiment of the invention, can utilize the risk linkage evaluation model to carry out risk evaluation processing on the parameter information of the electrical equipment to obtain the risk grade information, and obtain the risk release information and the equipment maintenance information through comprehensive processing such as conversion, matching and the like, so that the linkage analysis processing among the power grid risk, the equipment risk and the operation risk can be favorably realized, the accuracy of the risk analysis is improved, the working efficiency is improved, and the risk management cost is reduced.
In an optional embodiment, after the device problem information is processed by using the risk management and control treatment model to obtain the device overhaul information, the method includes:
judging whether the risk level meets the supervision condition or not to obtain a supervision judgment result;
and when the supervision judgment result is yes, processing the risk grade information and the equipment maintenance information to obtain risk supervision information.
Optionally, the risk supervision information is sent to the second-level platform.
Optionally, the management level of the second-level platform is higher than that of the first-level platform.
Therefore, by the data processing method for the risk management and control of the power equipment, which is described in the embodiment of the invention, the risk level information and the equipment maintenance information can be processed by judging whether the risk level meets the supervision condition to obtain the risk supervision information, so that the method is more beneficial to realizing the linkage analysis and processing among the power grid risk, the equipment risk and the operation risk, improving the accuracy of risk analysis, improving the working efficiency and reducing the risk management cost.
EXAMPLE III
Referring to fig. 3, fig. 3 is a schematic structural diagram of a data processing apparatus for risk management and control of electrical devices according to an embodiment of the present invention. The apparatus described in fig. 3 can be applied to a data processing system, such as a local server or a cloud server for data processing management of risk management of an electrical device, and the embodiment of the present invention is not limited thereto. As shown in fig. 3, the apparatus may include:
an obtaining module 301, configured to obtain parameter information of an electrical device; the power equipment parameter information comprises equipment level information, equipment quality information and equipment management information; the device level information is related to the level of the electrical device; the equipment management information is related to the overhaul period of the power equipment; the equipment quality information is related to quality defects of the power equipment;
the first processing module 302 is configured to perform risk assessment processing on the parameter information of the electrical equipment by using a preset risk linkage assessment model to obtain risk level information; the risk level information comprises risk levels and/or equipment problem information;
a first determining module 303, configured to determine risk handling information according to the risk level information; the risk disposal information comprises risk release information and/or equipment maintenance information and/or risk supervision information; the risk handling information is used for indicating a release operation corresponding to the risk to the electric power equipment.
It can be seen that, by implementing the data processing apparatus for electrical equipment risk management and control described in fig. 3, the risk linkage assessment model can be used to perform risk assessment processing on electrical equipment parameter information to obtain risk level information, and then the risk disposition information used for instructing to remove the operation on the corresponding risk of the electrical equipment is determined, so that the linked analysis processing among the grid risk, the equipment risk and the operation risk is favorably realized, the accuracy of risk analysis is improved, the working efficiency is improved, and the risk management cost is reduced.
In another alternative embodiment, as shown in fig. 4, the first processing module 302 includes a first processing sub-module 3021 and a second processing sub-module 3022, wherein:
the first processing submodule 3021 is configured to calculate and process the parameter information of the electrical equipment by using a preset equipment risk assessment model, so as to obtain risk value information;
the second processing submodule 3022 is configured to perform identification processing on the risk value information to obtain risk level information.
Therefore, by implementing the data processing device for managing and controlling the risk of the electrical equipment described in fig. 4, the parameter information of the electrical equipment can be calculated and identified by using the equipment risk assessment model to obtain the risk level information, which is beneficial to realizing the linkage analysis and processing among the power grid risk, the equipment risk and the operation risk, improving the accuracy of the risk analysis, improving the working efficiency and reducing the risk management cost.
In yet another alternative embodiment, as shown in fig. 4, the device risk assessment model includes a quality risk scoring model, and/or, a device risk scoring model;
the first processing submodule 3021 performs calculation processing on the power equipment parameter information by using a preset equipment risk assessment model, and the specific manner of obtaining the risk value information is as follows:
matching the equipment level information to obtain equipment level score information;
calculating and processing the equipment quality information by using a quality risk scoring model to obtain equipment quality score information;
matching the equipment management information to obtain equipment management score information;
and calculating and processing the equipment level score information, the equipment quality score information and the equipment management score information by using the equipment risk scoring model to obtain risk value information.
Therefore, by implementing the data processing device for managing and controlling the risk of the power equipment described in fig. 4, the risk value information can be obtained by comprehensively processing the backup level information, the equipment quality information and the equipment management information, which is beneficial to realizing the linkage analysis and processing among the power grid risk, the equipment risk and the operation risk, improving the accuracy of risk analysis, improving the working efficiency and reducing the risk management cost.
In yet another alternative embodiment, as shown in fig. 4, the second processing sub-module 3022 performs identification processing on the risk value information, and the specific manner of obtaining the risk level information is as follows:
matching the risk value information by using a preset risk value interval information set to obtain target risk value interval information; the risk score interval information set comprises L pieces of risk score interval information; l is a positive integer greater than or equal to 3;
and determining the score grade information corresponding to the target risk score interval information as risk grade information.
It can be seen that, by implementing the data processing device for electric power equipment risk management and control described in fig. 4, risk grade information can be determined through matching processing of risk score interval information, which is more favorable for realizing linkage analysis processing among power grid risk, equipment risk and operation risk, improving accuracy of risk analysis, improving working efficiency and reducing risk management cost.
In yet another alternative embodiment, as shown in fig. 4, the first determining module 303 determines the risk disposition information according to the risk level information in a specific manner:
converting the risk grade information to obtain risk release information;
matching the risk level to obtain a risk management and control disposal model;
and processing the equipment problem information by using a risk management and control disposal model to obtain equipment maintenance information.
It can be seen that, by implementing the data processing apparatus for electrical equipment risk management and control described in fig. 4, the risk linkage assessment model can be used to perform risk assessment processing on electrical equipment parameter information to obtain risk level information, and risk issue information and equipment maintenance information are obtained through comprehensive processing such as conversion and matching, so that the linkage analysis processing among grid risk, equipment risk and operation risk is favorably realized, the accuracy of risk analysis is improved, the working efficiency is improved, and the risk management cost is reduced.
In yet another optional embodiment, as shown in fig. 4, after the first determining module 303 processes the equipment problem information by using a risk management and control treatment model to obtain the equipment overhaul information, the apparatus includes:
a first judging module 304, configured to judge whether the risk level meets a supervision condition, so as to obtain a supervision judgment result;
and the second processing module 305 is configured to, when the supervision and determination result is yes, process the risk level information and the equipment maintenance information to obtain risk supervision information.
It can be seen that, by implementing the data processing apparatus for managing and controlling the risk of the electrical equipment described in fig. 4, the risk level information and the equipment maintenance information can be processed by judging whether the risk level meets the supervision condition, so that the risk supervision information is obtained, the linkage analysis and processing among the grid risk, the equipment risk and the operation risk can be realized, the accuracy of the risk analysis is improved, the working efficiency is improved, and the risk management cost is reduced.
In yet another optional embodiment, as shown in fig. 4, after the first determining module 303 determines the risk disposition information according to the risk level information, the obtaining module 301 is further configured to obtain information of the electrical equipment to be evaluated;
the device still includes:
the third processing module 306 is configured to perform risk assessment on the to-be-assessed electrical equipment information by using a preset equipment risk assessment model to obtain to-be-assessed risk scoring information;
a second judging module 307, configured to judge whether the to-be-evaluated risk score information is less than or equal to a preset evaluation threshold, so as to obtain an evaluation judgment result;
and the second determining module 308 is configured to determine risk level information according to the to-be-evaluated risk scoring information when the evaluation determination result is negative, and trigger execution to determine risk handling information according to the risk level information.
Therefore, by implementing the data processing device for managing and controlling the risk of the electrical equipment described in fig. 4, the processing program can be determined by evaluating the information of the electrical equipment to be evaluated and judging the evaluation threshold, which is more beneficial to realizing the linkage analysis and processing among the grid risk, the equipment risk and the operation risk, improving the accuracy of risk analysis, improving the working efficiency and reducing the risk management cost.
Example four
Referring to fig. 5, fig. 5 is a schematic structural diagram of another data processing apparatus for risk management and control of electrical equipment according to an embodiment of the present disclosure. The apparatus described in fig. 5 can be applied to a data processing system, such as a local server or a cloud server for data processing management of risk management of an electrical device, and the embodiment of the present invention is not limited thereto. As shown in fig. 5, the apparatus may include:
a memory 401 storing executable program code;
a processor 402 coupled with the memory 401;
the processor 402 calls the executable program code stored in the memory 401 for executing the steps in the data processing method for electrical equipment risk management described in the first embodiment or the second embodiment.
EXAMPLE five
The embodiment of the invention discloses a computer-readable storage medium which stores a computer program for electronic data exchange, wherein the computer program enables a computer to execute the steps in the data processing method for risk management and control of electrical equipment described in the first embodiment or the second embodiment.
EXAMPLE six
The embodiment of the invention discloses a computer program product, which comprises a non-transitory computer readable storage medium storing a computer program, and the computer program is operable to make a computer execute the steps in the data processing method for risk management and control of power equipment described in the first embodiment or the second embodiment.
The above-described embodiments of the apparatus are merely illustrative, and the modules described as separate parts may or may not be physically separate, and the parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above detailed description of the embodiments, those skilled in the art will clearly understand that the embodiments may be implemented by software plus a necessary general hardware platform, and may also be implemented by hardware. Based on such understanding, the above technical solutions may be embodied in the form of a software product, which may be stored in a computer-readable storage medium, where the storage medium includes a Read-Only Memory (ROM), a Random Access Memory (RAM), a Programmable Read-Only Memory (PROM), an Erasable Programmable Read-Only Memory (EPROM), a One-time Programmable Read-Only Memory (OTPROM), an Electrically Erasable Programmable Read-Only Memory (EEPROM), a Compact Disc-Read-Only Memory (CD-ROM), or other disk memories, CD-ROMs, or other magnetic disks, A tape memory, or any other medium readable by a computer that can be used to carry or store data.
Finally, it should be noted that: the data processing method and apparatus for risk management and control of power equipment disclosed in the embodiments of the present invention are only the preferred embodiments of the present invention, and are only used for illustrating the technical solutions of the present invention, rather than limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those skilled in the art; the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A data processing method for risk management and control of electrical equipment, the method comprising:
acquiring parameter information of the electrical equipment; the power equipment parameter information comprises equipment level information, equipment quality information and equipment management information; the device level information is related to a level of an electrical device; the equipment management information is related to the overhaul period of the power equipment; the equipment quality information is related to quality defects of the power equipment;
performing risk evaluation processing on the parameter information of the electrical equipment by using a preset risk linkage evaluation model to obtain risk grade information; the risk level information comprises risk levels and/or equipment problem information;
determining risk disposal information according to the risk grade information; the risk disposal information comprises risk release information and/or equipment maintenance information and/or risk supervision information; the risk handling information is used for indicating the release operation of the corresponding risk of the electric equipment.
2. The data processing method for electric power equipment risk management and control according to claim 1, wherein the performing risk assessment processing on the electric power equipment parameter information by using a preset risk linkage assessment model to obtain risk level information comprises:
calculating the parameter information of the electric power equipment by using a preset equipment risk evaluation model to obtain risk value information;
and identifying the risk value information to obtain risk grade information.
3. The data processing method for electrical equipment risk management according to claim 2, wherein the equipment risk assessment model comprises a quality risk scoring model, and/or an equipment risk scoring model;
the calculating processing is carried out on the parameter information of the electric power equipment by utilizing a preset equipment risk assessment model to obtain risk value information, and the method comprises the following steps:
matching the equipment level information to obtain equipment level score information;
calculating the equipment quality information by using the quality risk scoring model to obtain equipment quality score information;
matching the equipment management information to obtain equipment management score information;
and calculating and processing the equipment level score information, the equipment quality score information and the equipment management score information by using the equipment risk scoring model to obtain risk value information.
4. The data processing method for risk management and control of power equipment according to claim 2, wherein the identifying and processing the risk value information to obtain risk level information includes:
matching the risk value information by using a preset risk value interval information set to obtain target risk value interval information; the risk score interval information set comprises L pieces of risk score interval information; l is a positive integer greater than or equal to 3;
and determining that the score grade information corresponding to the target risk score interval information is risk grade information.
5. The data processing method for risk management and control of power equipment according to claim 1, wherein the determining risk handling information according to the risk level information includes:
converting the risk grade information to obtain the risk release information;
matching the risk level to obtain a risk management and control disposal model;
and processing the equipment problem information by using the risk management and control disposal model to obtain the equipment overhaul information.
6. The data processing method for electric power equipment risk management and control according to claim 5, wherein after the equipment problem information is processed by the risk management and treatment model to obtain the equipment overhaul information, the method comprises:
judging whether the risk level meets a supervision condition or not to obtain a supervision judgment result;
and when the supervision judgment result is yes, processing the risk grade information and the equipment maintenance information to obtain risk supervision information.
7. The data processing method for power equipment risk management according to claim 1, wherein after determining risk handling information according to the risk level information, the method further comprises:
acquiring information of electric power equipment to be evaluated;
performing risk assessment on the to-be-assessed electric power equipment information by using a preset equipment risk assessment model to obtain to-be-assessed risk scoring information;
judging whether the to-be-evaluated risk scoring information is smaller than or equal to a preset evaluation threshold value or not to obtain an evaluation judgment result;
and when the evaluation judgment result is negative, determining the risk grade information according to the to-be-evaluated risk grade information, and triggering execution to determine risk disposal information according to the risk grade information.
8. A data processing apparatus for power equipment risk management, the apparatus comprising:
the acquisition module is used for acquiring parameter information of the electrical equipment; the power equipment parameter information comprises equipment level information, equipment quality information and equipment management information; the device level information is related to a level of an electrical device; the equipment management information is related to the overhaul period of the power equipment; the equipment quality information is related to quality defects of the power equipment;
the first processing module is used for carrying out risk evaluation processing on the parameter information of the electrical equipment by using a preset risk linkage evaluation model to obtain risk grade information; the risk level information comprises risk levels and/or equipment problem information;
the first determining module is used for determining risk disposal information according to the risk level information; the risk disposal information comprises risk release information and/or equipment maintenance information and/or risk supervision information; the risk handling information is used for indicating the release operation of the corresponding risk of the electric equipment.
9. A data processing apparatus for power equipment risk management, the apparatus comprising:
a memory storing executable program code;
a processor coupled with the memory;
the processor calls the executable program code stored in the memory to execute the data processing method for electric power equipment risk management according to any one of claims 1 to 7.
10. A computer-storable medium that stores computer instructions for performing the data processing method for electrical power equipment risk management according to any one of claims 1-7 when invoked.
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| CN202111523585.1A CN114154915A (en) | 2021-12-14 | 2021-12-14 | Data processing method and device for risk management and control of power equipment |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115713239A (en) * | 2022-12-07 | 2023-02-24 | 中国南方电网有限责任公司超高压输电公司广州局 | Operation and maintenance risk prediction method and device, computer equipment and storage medium |
| CN116957322A (en) * | 2023-06-09 | 2023-10-27 | 北京昆仑海岸科技股份有限公司 | Method and device for risk assessment of drainage pipe network |
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2021
- 2021-12-14 CN CN202111523585.1A patent/CN114154915A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115713239A (en) * | 2022-12-07 | 2023-02-24 | 中国南方电网有限责任公司超高压输电公司广州局 | Operation and maintenance risk prediction method and device, computer equipment and storage medium |
| CN115713239B (en) * | 2022-12-07 | 2024-04-02 | 中国南方电网有限责任公司超高压输电公司广州局 | Operation and maintenance risk prediction method, device, computer equipment and storage medium |
| CN116957322A (en) * | 2023-06-09 | 2023-10-27 | 北京昆仑海岸科技股份有限公司 | Method and device for risk assessment of drainage pipe network |
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