CN113537724A - Power grid facility anti-seismic safety risk assessment method and device - Google Patents

Power grid facility anti-seismic safety risk assessment method and device Download PDF

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CN113537724A
CN113537724A CN202110701816.7A CN202110701816A CN113537724A CN 113537724 A CN113537724 A CN 113537724A CN 202110701816 A CN202110701816 A CN 202110701816A CN 113537724 A CN113537724 A CN 113537724A
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earthquake
power grid
influence range
seismic
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马潇
王轶
李圣
刘彬
王剑
金欢
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State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
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China Electric Power Research Institute Co Ltd CEPRI
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Abstract

The invention relates to the technical field of earthquake risk assessment, and particularly provides a power grid facility earthquake-resistant safety risk assessment method and device, aiming at solving the technical problem of how to comprehensively know the specific influence range and intensity distribution of a certain earthquake event and the relevant information of an earthquake focus position. The method comprises the following steps: analyzing the seismic intensity of the position of the power grid facility during the earthquake; calculating the safety coefficients of all power grid facilities in the earthquake influence range based on the earthquake intensity of the positions of the power grid facilities; and performing risk assessment on all power grid facilities in the earthquake influence range based on the safety coefficients of all power grid facilities in the earthquake influence range. The technical scheme provided by the invention can display the whole influence range and intensity distribution of the earthquake and complete information display of the earthquake through the map, and further can match the earthquake influence degree of the power facility in a map matching mode without monitoring data of the facility by monitoring points.

Description

Power grid facility anti-seismic safety risk assessment method and device
Technical Field
The invention relates to the technical field of earthquake risk assessment, in particular to a method and a device for assessing earthquake-resistant safety risk of power grid facilities.
Background
An earthquake-resistant safety evaluation system for power grid facilities mainly collects earthquake data of monitoring positions according to monitoring equipment installed at transformer substations, towers and other positions at present. And then performing risk assessment through a relevant assessment method. Because the relevant evaluation is carried out according to the monitoring equipment at the actual position, if some power grid facilities without the monitoring equipment are installed, the accurate earthquake intensity of the position cannot be obtained.
Meanwhile, due to the mainstream evaluation mode, the specific influence range and intensity distribution of a certain seismic event and the relevant information of the seismic source position cannot be comprehensively known.
Disclosure of Invention
In order to overcome the defects, the invention provides a power grid facility earthquake-resistant safety risk assessment method and a device, which solve or at least partially solve the technical problems of how to comprehensively know the specific influence range and intensity distribution of a certain earthquake event and the information related to the position of an earthquake source.
In a first aspect, a grid facility earthquake-resistant safety risk assessment method is provided, and includes:
analyzing the seismic intensity of the position of the power grid facility during the earthquake;
calculating the safety coefficients of all power grid facilities in the earthquake influence range based on the earthquake intensity of the positions of the power grid facilities;
and performing risk assessment on all power grid facilities in the earthquake influence range based on the safety coefficients of all power grid facilities in the earthquake influence range.
Preferably, the analyzing the seismic intensity of the position where the power grid facility is located at the time of the earthquake includes:
analyzing the earthquake influence range based on the earthquake motion peak acceleration of the observation points around the earthquake center;
selecting a reference point in the earthquake influence range, and calculating earthquake motion peak acceleration of the reference point;
on the basis of the seismic peak acceleration of the reference point, adopting a Krigin interpolation mode to interpolate values in the seismic influence range to render the seismic peak acceleration of different positions in the area;
and acquiring the seismic intensity corresponding to the seismic peak acceleration of the position of the power grid facility in the seismic influence range.
Further, the earthquake motion peak acceleration analysis earthquake influence range based on the earthquake center surrounding observation points comprises the following steps:
if the earthquake motion peak acceleration of the observation point is 0, the position of the observation point does not belong to the earthquake influence range, otherwise, the position of the observation point belongs to the earthquake influence range.
Further, the calculation formula of the earthquake motion peak acceleration of the earthquake center surrounding observation point is as follows:
lgA=C1+C2M+C3M2+(C4+C5M)lg[R+C6 exp(C7M)]
in the above formula, A is the seismic peak acceleration of the observation point, C1、C2、C3、C4、C5、C6And C7All are regression parameters, M is epicenter seismic intensity, and R is a distance parameter between the epicenter and the observation point.
Preferably, the safety coefficient of all power grid facilities within the earthquake influence range is calculated according to the following formula:
Figure BDA0003130263890000021
in the above formula, S is the safety coefficient of all power grid facilities in the earthquake influence range, FiEvaluation weight for ith grid facility, CiAnd H is the shock resistance coordination index of the power grid facility, and n is the total number of the power grid facilities in the earthquake influence range.
Preferably, the risk assessment of all power grid facilities within the earthquake influence range based on the safety coefficients of all power grid facilities within the earthquake influence range includes:
calculating risk evaluation coefficients of all power grid facilities in the earthquake influence range based on the safety coefficients of all power grid facilities in the earthquake influence range;
and acquiring a preset first-aid repair strategy corresponding to the risk evaluation coefficients of all power grid facilities within the earthquake influence range.
Preferably, the risk assessment coefficients of all power grid facilities within the earthquake influence range are calculated according to the following formula:
R=100-S
in the formula, R is a risk evaluation coefficient of all power grid facilities in the earthquake influence range, and S is a safety coefficient of all power grid facilities in the earthquake influence range.
In a second aspect, there is provided a grid installation earthquake-resistant safety risk assessment device, the device comprising:
the analysis module is used for analyzing the seismic intensity of the position where the power grid facility is located during the earthquake;
the calculation module is used for calculating the safety coefficients of all the power grid facilities within the earthquake influence range based on the earthquake intensity of the positions of the power grid facilities;
and the evaluation module is used for carrying out risk evaluation on all the power grid facilities in the earthquake influence range based on the safety coefficients of all the power grid facilities in the earthquake influence range.
In a third aspect, a storage device is provided, wherein a plurality of program codes are stored in the storage device, and the program codes are suitable for being loaded and executed by a processor to execute the anti-seismic safety risk assessment method for the power grid facility in any of the above technical solutions.
In a fourth aspect, a control device is provided, which comprises a processor and a storage device, wherein the storage device is adapted to store a plurality of program codes, and the program codes are adapted to be loaded and run by the processor to execute the method for evaluating the anti-seismic safety risk of the power grid facility according to any one of the above technical solutions.
One or more technical schemes of the invention at least have one or more of the following beneficial effects:
the invention provides a method and a device for evaluating anti-seismic safety risk of power grid facilities, which comprise the following steps: analyzing the seismic intensity of the position of the power grid facility during the earthquake; calculating the safety coefficients of all power grid facilities in the earthquake influence range based on the earthquake intensity of the positions of the power grid facilities; and performing risk assessment on all power grid facilities in the earthquake influence range based on the safety coefficients of all power grid facilities in the earthquake influence range. The technical scheme provided by the invention can display the whole influence range and intensity distribution of the earthquake and complete information display of the earthquake through the map, and further can match the earthquake influence degree of the power facility in a map matching mode without monitoring data of the facility by monitoring points.
Drawings
Fig. 1 is a schematic flow chart of main steps of a power grid facility earthquake-resistant safety risk assessment method according to an embodiment of the invention;
FIG. 2 is a schematic diagram of an electric utility classification according to an embodiment of the present invention;
fig. 3 is a main structural block diagram of a grid facility earthquake-resistant safety risk assessment device according to an embodiment of the present invention.
Detailed Description
The following describes embodiments of the present invention in further detail with reference to the accompanying drawings.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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 some, but not all, embodiments of the present invention. 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.
Referring to fig. 1, fig. 1 is a schematic flow chart illustrating main steps of a method for evaluating earthquake-resistant safety risk of a power grid facility according to an embodiment of the invention. As shown in fig. 1, the method for evaluating earthquake-resistant safety risk of power grid facilities in the embodiment of the present invention mainly includes the following steps:
s101, analyzing the seismic intensity of the position of the power grid facility during the earthquake;
s102, calculating safety coefficients of all power grid facilities in an earthquake influence range based on the earthquake intensity of the positions of the power grid facilities;
s103, risk assessment is carried out on all power grid facilities in the earthquake influence range based on the safety coefficients of all power grid facilities in the earthquake influence range.
In this embodiment, the seismic data sources required in the above process mainly include: on-site monitoring equipment, seismic network data and manual data. The system integrates and classifies the data. According to the time intensity and the like, the same earthquake event monitored by different monitoring devices can be combined.
In order to rapidly analyze the seismic intensity influence and display the seismic intensity influence on the system interface, in this embodiment, the step S101 may be implemented based on the following manner:
analyzing the earthquake influence range based on the earthquake motion peak acceleration of the observation points around the earthquake center;
selecting a reference point in the earthquake influence range, and calculating earthquake motion peak acceleration of the reference point;
on the basis of the seismic peak acceleration of the reference point, adopting a Krigin interpolation mode to interpolate values in the seismic influence range to render the seismic peak acceleration of different positions in the area;
and acquiring the seismic intensity corresponding to the seismic peak acceleration of the position of the power grid facility in the seismic influence range.
If the earthquake motion peak acceleration of the observation point is 0, the position of the observation point does not belong to the earthquake influence range, otherwise, the position of the observation point belongs to the earthquake influence range.
In one embodiment, for attenuation rules of various physical parameters in the seismic motion propagation process, a recommended attenuation model is provided in engineering site seismic safety evaluation (GB 17741-2005), that is, a calculation formula of seismic motion peak acceleration of observation points around the earthquake center is as follows:
lgA=C1+C2M+C3M2+(C4+C5M)lg[R+C6 exp(C7M)]
in the above formula, A is the seismic peak acceleration of the observation point, C1、C2、C3、C4、C5、C6And C7All the parameters are regression parameters, M is earthquake intensity of the epicenter, R is a distance parameter between the epicenter and the observation point, the horizontal projection distance from the observation point to the epicenter is often adopted as an R value in the early attenuation model for statistical regression, but the simplification of the epicenter position to a point on a horizontal projection plane can cause larger fitting residual error due to complex earthquake causes, and in recent researches, the influence of factors such as earthquake focus depth, earthquake-induced fracture surface length and the like on the earthquake dynamic attenuation law is gradually emphasized.
Wherein, C6 exp(C7M) is a near field saturation factor used to introduce an increase in magnitude into the expression resulting in an increase in near field saturation range of seismic motion, typically determined in advance based on the source depth. C3M2The large earthquake saturation factor is used for introducing the increase of the earthquake motion saturation range under the large earthquake action in the expression. C2M is used to explain the acceleration enhancement phenomenon caused by the high frequency component of the strong seismic recording wave in the shallow source near-field earthquake.
The above formula contains 7 regression parameters in total, and the result of direct statistical regression still cannot meet the accuracy requirement of free surface motion evaluation, so that further assumptions and simplified models need to be provided. One commonly used method is to decouple the magnitude correlation factor and the distance parameter correlation factor in the model and then perform statistical regression step by step.
For a specific earthquake, the influence of the magnitude correlation factor on the attenuation model is small, so that the distance parameter correlation factor is subjected to statistical regression calculation, and the attenuation formula can be simplified as follows:
lgA=C8+C9lg(R+C10)
wherein, C10=C6 exp(C7M) in C for obtaining multiple earthquakes10Then, linear regression is carried out to obtain a coefficient C6And C7
In one embodiment, the safety factor of all grid facilities within the seismic influence range is calculated as follows:
Figure BDA0003130263890000051
in the above formula, S is the safety coefficient of all power grid facilities in the earthquake influence range, FiEvaluation weight for ith grid facility, CiAnd H is the shock resistance coordination index of the power grid facility, and n is the total number of the power grid facilities in the earthquake influence range.
Wherein, when the shock resistance of each power grid facility is comparatively average, the H value is 1, and when the dispersion is great, the H value is less than 1. The specific value can be determined empirically according to the actual evaluation result, and if the difference between the minimum value and the mean value is greater than 30, the value is 0.6
In one embodiment, the type and structure of the power facility is substantially uniform, and is largely divided into two categories, i.e., in-station equipment and structures and ancillary facilities, as shown in fig. 2.
In earthquake damage assessment, each type of substation power facility is partitioned and classified. After corresponding physical and geometric simplification of each kind of electric power facility, the model shapes of different substations corresponding to the same kind of electric power facility are considered to be the same, and only the model shapes are different in size and material parameters. On the basis, each type of electric power facility is realized by utilizing a parameter programming modeling mode, and the modeling and calculation can be quickly carried out as long as corresponding size and material parameters are input, so that the earthquake damage assessment and visualization are completed.
The earthquake safety assessment of the substation comprises all elements within the range of the substation which affect the recovery function of the substation after the earthquake. During evaluation, factors with similar seismic damage characteristics are classified into one class, and seismic safety evaluation is performed on each class during evaluation. And giving different weights to the influence of each category on the overall earthquake resistance of the transformer substation, and evaluating the overall earthquake resistance of the transformer substation in a weighting mode. The weight coefficients of the substation earthquake safety risk assessment-assessment sub-items are shown in table 1.
TABLE 1
Figure BDA0003130263890000052
Figure BDA0003130263890000061
The earthquake risk assessment method for the transformer substation is necessary to evaluate the earthquake risk of the transformer substation from the overall perspective while improving the earthquake resistance of key facilities of the transformer substation, strengthen the overall grasp on the overall earthquake risk of the transformer substation by contrasting the requirements of disaster risk management, research the earthquake risk assessment method of the transformer substation, apply the earthquake risk assessment method to an assessment system platform, and provide support for the management of the earthquake risk of the transformer substation in an area.
In this embodiment, the performing risk assessment on all power grid facilities within the earthquake influence range based on the safety coefficients of all power grid facilities within the earthquake influence range includes:
calculating risk evaluation coefficients of all power grid facilities in the earthquake influence range based on the safety coefficients of all power grid facilities in the earthquake influence range;
and acquiring a preset first-aid repair strategy corresponding to the risk evaluation coefficients of all power grid facilities within the earthquake influence range.
In one embodiment, the risk assessment coefficients for all grid facilities within the seismic influence range are calculated as follows:
R=100-S
in the formula, R is a risk evaluation coefficient of all power grid facilities in the earthquake influence range, and S is a safety coefficient of all power grid facilities in the earthquake influence range.
In one embodiment, the pre-set first-aid repair strategy is as shown in table 2:
TABLE 2
Figure BDA0003130263890000062
Based on the same inventive concept, the invention also provides a grid facility earthquake-resistant safety risk assessment device, as shown in fig. 3, the device comprises:
the analysis module is used for analyzing the seismic intensity of the position where the power grid facility is located during the earthquake;
the calculation module is used for calculating the safety coefficients of all the power grid facilities within the earthquake influence range based on the earthquake intensity of the positions of the power grid facilities;
and the evaluation module is used for carrying out risk evaluation on all the power grid facilities in the earthquake influence range based on the safety coefficients of all the power grid facilities in the earthquake influence range.
Preferably, the analyzing the seismic intensity of the position where the power grid facility is located at the time of the earthquake includes:
analyzing the earthquake influence range based on the earthquake motion peak acceleration of the observation points around the earthquake center;
selecting a reference point in the earthquake influence range, and calculating earthquake motion peak acceleration of the reference point;
on the basis of the seismic peak acceleration of the reference point, adopting a Krigin interpolation mode to interpolate values in the seismic influence range to render the seismic peak acceleration of different positions in the area;
and acquiring the seismic intensity corresponding to the seismic peak acceleration of the position of the power grid facility in the seismic influence range.
Further, the earthquake motion peak acceleration analysis earthquake influence range based on the earthquake center surrounding observation points comprises the following steps:
if the earthquake motion peak acceleration of the observation point is 0, the position of the observation point does not belong to the earthquake influence range, otherwise, the position of the observation point belongs to the earthquake influence range.
Further, the calculation formula of the earthquake motion peak acceleration of the earthquake center surrounding observation point is as follows:
lgA=C1+C2M+C3M2+(C4+C5M)lg[R+C6 exp(C7M)]
in the above formula, A is the seismic peak acceleration of the observation point, C1、C2、C3、C4、C5、C6And C7All are regression parameters, M is epicenter seismic intensity, and R is a distance parameter between the epicenter and the observation point.
Preferably, the safety coefficient of all power grid facilities within the earthquake influence range is calculated according to the following formula:
Figure BDA0003130263890000071
in the above formula, S is the safety coefficient of all power grid facilities in the earthquake influence range, FiEvaluation weight for ith grid facility, CiAnd H is the shock resistance coordination index of the power grid facility, and n is the total number of the power grid facilities in the earthquake influence range.
Preferably, the risk assessment of all power grid facilities within the earthquake influence range based on the safety coefficients of all power grid facilities within the earthquake influence range includes:
calculating risk evaluation coefficients of all power grid facilities in the earthquake influence range based on the safety coefficients of all power grid facilities in the earthquake influence range;
and acquiring a preset first-aid repair strategy corresponding to the risk evaluation coefficients of all power grid facilities within the earthquake influence range.
Preferably, the risk assessment coefficients of all power grid facilities within the earthquake influence range are calculated according to the following formula:
R=100-S
in the formula, R is a risk evaluation coefficient of all power grid facilities in the earthquake influence range, and S is a safety coefficient of all power grid facilities in the earthquake influence range.
It will be understood by those skilled in the art that all or part of the flow of the method according to the above-described embodiment may be implemented by a computer program, which may be stored in a computer-readable storage medium and used to implement the steps of the above-described embodiments of the method when the computer program is executed by a processor. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying said computer program code, media, usb disk, removable hard disk, magnetic diskette, optical disk, computer memory, read-only memory, random access memory, electrical carrier wave signals, telecommunication signals, software distribution media, etc. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
Furthermore, the invention also provides a storage device. In one storage device embodiment according to the present invention, the storage device may be configured to store a program for executing the grid infrastructure earthquake resistant safety risk assessment method of the above method embodiment, and the program may be loaded and executed by the processor to implement the above grid infrastructure earthquake resistant safety risk assessment method. For convenience of explanation, only the parts related to the embodiments of the present invention are shown, and details of the specific techniques are not disclosed. The storage device may be a storage device apparatus formed by including various electronic devices, and optionally, a non-transitory computer-readable storage medium is stored in the embodiment of the present invention.
Furthermore, the invention also provides a control device. In an embodiment of the control device according to the present invention, the control device comprises a processor and a storage device, the storage device may be configured to store a program for executing the grid infrastructure earthquake resistant safety risk assessment method of the above-mentioned method embodiment, and the processor may be configured to execute a program in the storage device, the program including but not limited to a program for executing the grid infrastructure earthquake resistant safety risk assessment method of the above-mentioned method embodiment. For convenience of explanation, only the parts related to the embodiments of the present invention are shown, and details of the specific techniques are not disclosed. The control device may be a control device apparatus formed including various electronic apparatuses.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.

Claims (10)

1. A power grid facility earthquake-resistant safety risk assessment method is characterized by comprising the following steps:
analyzing the seismic intensity of the position of the power grid facility during the earthquake;
calculating the safety coefficients of all power grid facilities in the earthquake influence range based on the earthquake intensity of the positions of the power grid facilities;
and performing risk assessment on all power grid facilities in the earthquake influence range based on the safety coefficients of all power grid facilities in the earthquake influence range.
2. The method of claim 1, wherein analyzing the seismic intensity at the location of the grid facility at the time of the earthquake comprises:
analyzing the earthquake influence range based on the earthquake motion peak acceleration of the observation points around the earthquake center;
selecting a reference point in the earthquake influence range, and calculating earthquake motion peak acceleration of the reference point;
on the basis of the seismic peak acceleration of the reference point, adopting a Krigin interpolation mode to interpolate values in the seismic influence range to render the seismic peak acceleration of different positions in the area;
and acquiring the seismic intensity corresponding to the seismic peak acceleration of the position of the power grid facility in the seismic influence range.
3. The method of claim 2, wherein analyzing the seismic influence horizon based on seismic peak accelerations of epicenter surrounding observation points comprises:
if the earthquake motion peak acceleration of the observation point is 0, the position of the observation point does not belong to the earthquake influence range, otherwise, the position of the observation point belongs to the earthquake influence range.
4. The method of claim 2, wherein the seismic peak acceleration of the epicenter surrounding observation point is calculated as follows:
lgA=C1+C2M+C3M2+(C4+C5M)lg[R+C6 exp(C7M)]
in the above formula, A is the seismic peak acceleration of the observation point, C1、C2、C3、C4、C5、C6And C7All are regression parameters, M is epicenter seismic intensity, and R is a distance parameter between the epicenter and the observation point.
5. The method of claim 1, wherein the safety factor for all grid facilities within the seismic influence range is calculated as follows:
Figure FDA0003130263880000011
in the above formula, S is the safety coefficient of all power grid facilities in the earthquake influence range, FiEvaluation weight for ith grid facility, CiAnd H is the shock resistance coordination index of the power grid facility, and n is the total number of the power grid facilities in the earthquake influence range.
6. The method of claim 1, wherein the risk assessment of all grid facilities within the seismic influence range based on the safety coefficients of all grid facilities within the seismic influence range comprises:
calculating risk evaluation coefficients of all power grid facilities in the earthquake influence range based on the safety coefficients of all power grid facilities in the earthquake influence range;
and acquiring a preset first-aid repair strategy corresponding to the risk evaluation coefficients of all power grid facilities within the earthquake influence range.
7. The method of claim 1, wherein the risk assessment coefficients for all grid facilities within the seismic influence range are calculated as follows:
R=100-S
in the formula, R is a risk evaluation coefficient of all power grid facilities in the earthquake influence range, and S is a safety coefficient of all power grid facilities in the earthquake influence range.
8. An electrical grid installation earthquake-resistant safety risk assessment device, the device comprising:
the analysis module is used for analyzing the seismic intensity of the position where the power grid facility is located during the earthquake;
the calculation module is used for calculating the safety coefficients of all the power grid facilities within the earthquake influence range based on the earthquake intensity of the positions of the power grid facilities;
and the evaluation module is used for carrying out risk evaluation on all the power grid facilities in the earthquake influence range based on the safety coefficients of all the power grid facilities in the earthquake influence range.
9. A storage device having a plurality of program codes stored therein, wherein the program codes are adapted to be loaded and run by a processor to perform the grid infrastructure seismic safety risk assessment method according to any one of claims 1 to 7.
10. A control apparatus comprising a processor and a storage device adapted to store a plurality of program codes, characterized in that the program codes are adapted to be loaded and run by the processor to perform a grid infrastructure seismic safety risk assessment method according to any of claims 1 to 7.
CN202110701816.7A 2021-06-24 2021-06-24 Power grid facility anti-seismic safety risk assessment method and device Pending CN113537724A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114047400A (en) * 2021-11-10 2022-02-15 云南电网有限责任公司电力科学研究院 Transformer substation porcelain bushing equipment earthquake center attitude monitoring system
CN117556224A (en) * 2024-01-12 2024-02-13 国网四川省电力公司电力科学研究院 Grid facility anti-seismic risk assessment system, method and storage medium

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114047400A (en) * 2021-11-10 2022-02-15 云南电网有限责任公司电力科学研究院 Transformer substation porcelain bushing equipment earthquake center attitude monitoring system
CN117556224A (en) * 2024-01-12 2024-02-13 国网四川省电力公司电力科学研究院 Grid facility anti-seismic risk assessment system, method and storage medium
CN117556224B (en) * 2024-01-12 2024-03-22 国网四川省电力公司电力科学研究院 Grid facility anti-seismic risk assessment system, method and storage medium

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