CN115392027A

CN115392027A - Safety assessment method, device, equipment and medium for grid structure

Info

Publication number: CN115392027A
Application number: CN202211032165.8A
Authority: CN
Inventors: 钟启濠; 丁奕; 吴轲; 霍嘉文; 陈振良; 郭约法; 张熙; 刘国兵; 谢颍河; 林刚; 裴浩; 萧正阳; 肖莉敏; 李龙; 何家达; 罗红东; 徐云
Original assignee: Guangdong Power Grid Co Ltd; Dongguan Power Supply Bureau of Guangdong Power Grid Co Ltd
Current assignee: Guangdong Power Grid Co Ltd; Dongguan Power Supply Bureau of Guangdong Power Grid Co Ltd
Priority date: 2022-08-26
Filing date: 2022-08-26
Publication date: 2022-11-25

Abstract

The invention discloses a safety assessment method, a device, equipment and a medium for a grid structure. The method comprises the following steps: calculating damage factors corresponding to the tower members respectively according to the real-time measured values of the local unit cross sections and/or the whole unit cross sections of the tower members in the grid structure to be measured; calculating the safety state value of each tower component under the target working condition according to the damage factor corresponding to each tower component; and carrying out normalization processing on a distribution function formed by the safety state values of the tower members, and calculating the failure probability of the grid structure to be detected under the target working condition according to the normalized processing function obtained through the processing. By adopting the technical scheme, the method for evaluating the safety of the whole grid structure under the condition that the local components of the grid structure are damaged or failed is provided.

Description

Safety assessment method, device, equipment and medium for grid structure

Technical Field

The invention relates to the technical field of grid structure safety assessment, in particular to a grid structure safety assessment method, device, equipment and medium.

Background

The space grid structure has good shock resistance and integrity, and is widely applied to large-scale engineering structures such as gymnasiums, operas and the like. However, the durability of the steel structural members in the space grid structure is not sufficient, and if the steel structural members are corroded, the safety of the whole grid structure is affected. Therefore, safety assessment needs to be performed during the use of the overall grid structure to ensure the normal use of the overall grid structure.

In the existing safety assessment method of grid structure based on finite element method, the stress value of part of nodes in the grid structure exceeds the allowable stress value as the judgment standard of the instability of the whole grid structure.

However, since the spatial grid structure is a statically indeterminate structure, the grid structure cannot be visually evaluated only by judging the stress value of the node.

Disclosure of Invention

The invention provides a safety assessment method, a device, equipment and a medium for a grid structure, and provides a method for performing safety assessment on an integral grid structure under the condition that local components of the grid structure are damaged or fail.

According to an aspect of the present invention, there is provided a security assessment method of a grid structure, the method including:

calculating damage factors corresponding to the tower members respectively according to the real-time measured values of the local unit cross sections and/or the whole unit cross sections of the tower members in the grid structure to be measured;

calculating the safety state value of each tower component under the target working condition according to the damage factor corresponding to each tower component;

and carrying out normalization processing on the distribution function formed by the safety state values of the tower members, and calculating the failure probability of the grid structure to be tested under the target working condition according to the normalization processing function obtained by processing.

According to another aspect of the present invention, there is provided a safety evaluation device of a grid structure, including:

the damage factor calculation module is used for calculating damage factors corresponding to the tower members according to the real-time measured values of the local unit sections and/or the whole unit sections of the tower members in the grid structure to be measured;

the safety state value calculation module is used for calculating the safety state value of each tower component under the target working condition according to the damage factor corresponding to each tower component;

and the failure probability calculation module is used for carrying out normalization processing on the distribution function formed by the safety state values of the tower members and calculating the failure probability of the grid structure to be measured under the target working condition according to the normalized processing function obtained through the processing.

According to another aspect of the present invention, there is provided an electronic apparatus including:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,

the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform the method of rack architecture security assessment according to any of the embodiments of the present invention.

According to another aspect of the present invention, there is provided a computer-readable storage medium storing computer instructions for causing a processor to implement the grid structure safety assessment method according to any one of the embodiments of the present invention when the computer instructions are executed.

According to the technical scheme of the embodiment of the invention, the damage factors corresponding to each tower member are calculated according to the real-time measured values of the relevant cross sections of each tower member in the grid structure, the safety state values are further calculated and processed to obtain the normalization processing function, and then the failure probability of the grid structure to be detected under the target working condition is calculated, so that the safety evaluation of the whole grid structure can be realized under the condition that the local members of the grid structure are damaged or failed, and the visual safety evaluation result is obtained.

It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present invention, nor do they necessarily limit the scope of the invention. Other features of the present invention will become apparent from the following description.

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 flowchart of a method for evaluating security of a grid structure according to an embodiment of the present invention;

fig. 2 is a flowchart of a method for evaluating the security of a grid structure according to a second embodiment of the present invention;

fig. 3 is a schematic structural diagram of a safety assessment apparatus for a grid structure according to a third embodiment of the present invention;

fig. 4 is a schematic structural diagram of an electronic device that implements the method for evaluating the security of a grid structure according to the embodiment of the present invention.

Detailed Description

In order to make those skilled in the art better understand the technical solutions of the present invention, 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.

It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Moreover, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

Example one

Fig. 1 is a flowchart of a security assessment method for a grid structure according to an embodiment of the present invention, where this embodiment is applicable to a case where a failure probability of a grid structure to be measured under a target operating condition is obtained through multi-step calculation according to a real-time measured value of a relevant cross section of each tower member in the grid structure, the method may be performed by a security assessment apparatus for a grid structure, the security assessment apparatus for a grid structure may be implemented in the form of hardware and/or software, and the security assessment apparatus for a grid structure may be configured in a computer with a data calculation function. As shown in fig. 1, the method includes:

and S110, calculating damage factors corresponding to the tower members respectively according to the real-time measured values of the local unit cross sections and/or the whole unit cross sections of the tower members in the grid structure to be measured.

The grid structure can be understood as an ultrahigh statically determinate space structure which is formed by connecting a plurality of rod pieces through nodes according to a certain grid form and is covered by a large span.

Optionally, in an electric power scene, the high-voltage tower is a spatial grid structure formed by connecting a plurality of tower members through nodes according to a certain grid form.

The cross section can be a connecting cross section of the tower member and the node, and can also be a connecting cross section of the tower members which are connected pairwise.

The real-time measurement value of the local unit section can refer to the real-time measurement value of a specific one or more measurement sections of each tower member in the actual measurement requirement; the real-time measurement of the cross-section of the whole unit may refer to the mean of the real-time measurements of all the measured cross-sections in a partial structure or a whole structure of each tower member.

The position of the specific measurement cross section can be the main bearing area of the grid structure, and can also be selected according to the actual requirements of measurement personnel and the actual conditions of the grid structure, and the position of the measurement cross section is not limited.

Optionally, the real-time measurement value of the local unit cross section and the real-time measurement value of the whole unit cross section may be obtained by manual measurement, or may be obtained by taking a picture and analyzing, or may be obtained by measuring in other cross section measurement manners, where the cross section measurement manner is not limited here.

The damage factor can describe the damage condition of the grid structure, and when the damage factor is calculated, in order to ensure that the calculated damage factor can be suitable for the safety assessment of the whole grid structure, a proper damage factor calculation parameter needs to be selected. The inventor creatively provides that a local unit section reduction value and/or an integral unit section reduction value are obtained through calculation according to real-time measurement values of local unit sections and/or integral unit sections of tower members in a grid structure to be measured and serve as calculation parameters of damage factors, and meanwhile, the damage factors are obtained through calculation in combination with calculation parameters with obvious damage assessment, such as modal shape, damping and the like.

The method comprises the following steps of calculating damage factors respectively corresponding to each tower member according to the real-time measured values of the local unit cross section and/or the whole unit cross section of each tower member in the grid structure to be measured, wherein the damage factors respectively corresponding to each tower member can specifically comprise:

acquiring a real-time measured value of a local unit section corresponding to a currently processed target tower member, and calculating a local unit section reduction value according to a numerical difference between the real-time measured value of the local unit section and an ideal value of the local unit section;

acquiring a real-time measured value of the section of the whole unit corresponding to the currently processed target tower member, and calculating a reduction value of the section of the whole unit according to a numerical difference between the real-time measured value of the section of the whole unit and an ideal value of the section of the whole unit;

and calculating to obtain the damage factor of the target tower member according to the local unit section reduction value and the integral unit section reduction value.

The advantages of such an arrangement are: by adding the local unit section reduction value and the whole unit section reduction value as calculation parameters when calculating the damage factor, the damage position can be determined, so that the damage factor has better intuitiveness and comprehensiveness.

And S120, calculating the safety state value of each tower component under the target working condition according to the damage factor corresponding to each tower component.

The target working condition may refer to a working state of the grid structure used for calculation, and may include a working environment condition of the grid structure (e.g., an environmental condition such as temperature and wind speed), a material condition of each tower member (e.g., a material condition such as corrosion and cracking), and other various working states.

Further, a finite element simulation model matched with the target working condition needs to be established, after the damage factor is input into the finite element simulation model, the rod resistance and the rod bearing capacity of each tower member under the target working condition can be obtained, and the safety state value of each tower member under the target working condition can be calculated through the rod resistance and the rod bearing capacity of each tower member under the target working condition.

Specifically, the finite element simulation model is an ideal model capable of solving the grid structure problem. Different grid structure problems can be analyzed in different analysis modes, and finite element simulation models determined in different analysis modes are different. A finite element model is often built from more than one element type, and finite element simulation models are mathematical models built from the deviations of the structure.

The safety state value can be used for evaluating the operation reliability of each tower component under a target working condition, and the higher the safety state value of the tower component is, the higher the operation reliability of the tower component is.

In a specific embodiment, if the safety state value is equal to 0, it may be determined that the tower member has reached the limit state; if the safe state value is larger than 0, the tower component can be judged to be in a reliable state, and the greater the safe state value is, the higher the reliability is; if the safety state value is less than 0, the tower component can be judged to be in a failure state, namely the tower component is in an unreliable state.

S130, carrying out normalization processing on a distribution function formed by the safety state values of the tower members, and calculating the failure probability of the grid structure to be measured under the target working condition according to the normalized processing function obtained through the normalization processing.

If the distribution function formed by the safe state values of the tower members conforms to the standard normal distribution, the failure probability of the grid structure to be measured under the target working condition can be directly calculated. Specifically, when the rod structure is in an extreme state or a failure state, the probability that the rod structure fails to achieve the intended purpose may be referred to as a failure probability.

In this embodiment, an alternative failure probability calculation method when a distribution function formed by safe state values conforms to a standard normal distribution is illustrated as follows:

let M denote the safety state values of the tower members to form a discrete data set, and p _f The failure probability of the grid structure to be tested under the target working condition is represented by f _m (M) probability density function of M, denoted by F _m (M) represents the distribution function of M, i.e., the state function of the lattice structure.

The calculation formula for the probability of failure can be expressed as:

and when M conforms to normal distribution, the mean value mu of M can be used _m And standard deviation σ of M _m The probability density function f of M _m (m)。

I.e. f _m The calculation formula of (m) can be expressed as:

further defining two auxiliary functions

And Φ (y):

wherein the content of the first and second substances,

is the probability density function of the standard normal function, and phi (y) is the probability distribution function of the standard normal function.

Further, the formula can be obtained:

meanwhile, a variable beta is introduced as a reliability index of the grid structure, and the calculation formula of the beta is as follows:

the failure probability can be obtained:

however, in actual engineering, the distribution function formed by the safety state values of each tower member is often not in standard normal distribution, and therefore, normalization processing needs to be performed on the distribution function formed by the safety state values of each tower member, so that the failure probability of the grid structure under the target working condition is accurately calculated.

In the related art, normalization processing of a distribution function composed of safety state values of each tower member can be realized by a JC method, a Box-Cox conversion method, or the like. In this embodiment, the JC method is mainly used to implement the normalization process.

Correspondingly, normalizing the distribution function formed by the safety state values of the tower members, and calculating the failure probability of the grid structure to be tested under the target working condition according to the normalized processing function obtained by the processing, may specifically include:

acquiring a current checking point, wherein the current checking point has a preset initial value;

performing equivalent normalization processing on the distribution function formed by the safety state values at the current check calculation point to obtain an equivalent mean value and an equivalent standard deviation which are matched with the processed current normalization processing function;

calculating to obtain a current reliable index matched with the current checking point according to the equivalent mean value and the equivalent standard deviation;

verifying whether the current reliability index meets a reliability condition;

if so, calculating the failure probability of the grid structure to be tested under the target working condition according to the current reliable index; if not, calculating a new current checking point according to the current reliable index;

and returning to execute the operation of performing equivalent normalization processing on the distribution function formed by the safety state values at the current checking point until the failure probability is obtained through successful calculation.

In order to realize the goal of normalizing the distribution function formed by the safety state values of each tower component, firstly, a goal checking point is needed to be obtained, the goal checking point can be understood as a point which is simultaneously positioned on the standard normal distribution function and the distribution function formed by the safety state values of each tower component, and on the goal checking point, the probability distribution function value of the equivalent normalized safety state value is equal to the probability distribution function value of the safety state value before normalization. After the target checking points are obtained, normalization processing can be carried out on the distribution function formed by the safety state values through the target checking points.

The target checking point cannot be directly obtained, and in order to obtain the target checking point, a point needs to be selected as a current checking point on a distribution function formed by the safety state values.

When the current checking point does not belong to the target checking point, the current reliable index can be used for calculating a new current checking point, and the new current checking point can be used as the target checking point for further failure probability calculation until the new current checking point meets the reliability condition.

It should be noted that, in the technical scheme of the embodiment of the present invention, the damage factor of each tower member is calculated by using the reduction value of the tower member in the entire unit cross section and at least one reduction value of the local unit cross section, the damage of the tower member in the operation process is intuitively quantified from the appearance loss condition of the tower member, and the actual operation safety of each tower member can be accurately reflected by the finally calculated safety state value, so that a more accurate and reliable safety evaluation result for the entire grid structure can be obtained.

Example two

Fig. 2 is a flowchart of a grid structure safety assessment method according to a second embodiment of the present invention, and this embodiment further embodies a safety state value calculation process in the grid structure safety assessment method based on the above-mentioned embodiment. As shown in fig. 2, the method includes:

s210, calculating damage factors corresponding to the tower members respectively according to the real-time measured values of the local unit cross sections and/or the whole unit cross sections of the tower members in the grid structure to be measured.

And S220, respectively inputting the damage factors corresponding to the tower members into finite element simulation models matched with the target working conditions, and acquiring the rod resistance and the rod bearing capacity of each tower member under the target working conditions.

And S230, calculating the safety state value of each tower member under the target working condition according to the rod member resistance and the rod member bearing capacity of each tower member under the target working condition.

The method for calculating the safety state value of each tower member under the target working condition according to the rod resistance and the rod bearing capacity of each tower member under the target working condition may specifically include:

respectively calculating the difference value obtained by subtracting the bearing capacity of the rod piece from the resistance of the rod piece of each tower member under the target working condition, and taking the difference value as the safety state value of each tower member under the target working condition;

the higher the safety state value of the tower component is, the higher the operation reliability of the tower component is.

In a specific embodiment, pi may be used to represent the rod member resistance of the tower member i under the target working condition, qi may be used to represent the rod member bearing capacity of the tower member under the target working condition, and Zi may be used to represent the safety state value of the tower member i under the target working condition, so that the calculation formula of the safety state value may be represented as:

Zi＝Ri-Qi

if Zi =0, the pole tower component i can be judged to have reached the limit state; if Zi is greater than 0, the tower component i can be judged to be in a reliable state; if Zi is less than 0, the tower component i can be judged to be in a failure state, namely the tower component i is in an unreliable state.

Wherein i belongs to [2, n ], and n is the total number of tower members in the grid structure to be tested. The S230 is executed to respectively calculate and obtain corresponding safety state values for each tower component, and a discrete data set of n values formed by Z1, Z2 \8230;, zn can be obtained in total. Correspondingly, after the distribution function corresponding to the discrete data set is normalized, the failure probability of the grid structure to be tested can be calculated based on the mean value and the standard deviation of the normalization processing function.

S240, obtaining a current checking point, wherein the current checking point has a preset initial value.

As mentioned above, in the normalization process, a target check point satisfying a condition is obtained through multiple iterations, and then an initialized current check point may be obtained first, and the required target check point is obtained through iteration with the initialized current check point as a starting point.

Optionally, one of Z1, Z2 \8230 \ 8230;, zn is selected as the initialized current checking point, or the initialized current checking point can be estimated approximately by a statistical method.

In a specific embodiment, assuming that the X-th checking point is found as the initial checking point in the random variables (Z1, Z2 \8230;, zn) consisting of the safety state values of the tower members under the target working condition, the first X-1 checking points need to be firstly obtained, and then the X-th checking point is calculated by using the first X-1 checking points. Specifically, the sum may be accumulated according to X-1 safety state values Z1 to Zx-1, and the mean values determined from the accumulated sum results are respectively used as the first X-1 check points. Wherein X may be less than or equal to n +1.

Further, the initialized current checking point can be determined by a limit state equation based on the first X-1 checking points estimated as above, and the limit state equation can be expressed as:

wherein the extreme state equation is a known equation and is the first X-1 check points,

the initialized current check point is obtained for the required estimation.

Correspondingly, to

The derivation process is performed to obtain:

further, will

After the derivative equation is brought into the extreme state equation, the initialized current checking point can be obtained

And S250, performing equivalent normalization processing on the distribution function formed by the safety state values at the current check calculation point to obtain an equivalent mean value and an equivalent standard deviation which are matched with the processed current normalization processing function.

In one specific embodiment, the current checking point is assumed to have a coordinate of Z ^* Can use mu _Z The equivalent mean, which represents the match of the current normalization processing function, can be expressed as σ _Z Representing the equivalent standard deviation of the current normalization processing function match. Accordingly, μ can be calculated according to the following formula _Z And σ _Z 。

μ _z ＝Z ^* -Φ ^-1 [F _Z (Z ^* )]σ _z

Wherein a distribution function F is formed by each of the safety state values Z _Z (.),F _Z (Z ^* ) For the function value of the distribution function at the current check point, taking into account the characteristics of the check point, this value is equivalent to the value obtained from the equivalent mean μ _Z Sum equivalent standard deviation σ _Z A function value of the determined normal function Φ (.). Similarly, distribution function F _Z (. Phi.) has a probability density function of f _Z (.),f _Z (Z ^* ) For the value of the probability density function at the current checking point, the characteristics of the checking point are also considered, which is equivalent to a value represented by the equivalent mean mu _Z Sum equivalent standard deviation σ _Z Probability density function value of determined normal function phi (normal)

The function value of (1).

Based on the above formula, Z can be the current check point ^* Calculating the equivalent mean value mu of the match _Z Sum equivalent standard deviation σ _Z 。

And S260, calculating to obtain the current reliable index matched with the current checking point according to the equivalent mean value and the equivalent standard deviation.

In particular, it can be based on β = μ _Z /σ _Z Calculating to obtain the current checking point Z ^* The matched current reliability index beta.

S270, verifying whether the difference value between the current reliable index and the historical reliable index obtained by the previous calculation is smaller than or equal to a preset threshold value, if so, determining that a reliability condition is met, and executing S280; otherwise, it is determined that the reliability condition is not satisfied, and S290 is performed.

When the current reliable index is calculated for the first time, the historical reliable index obtained by the previous calculation corresponding to the current reliable index can be initialized to be 0, and when the current reliable index is obtained by the second calculation, the beta value obtained by the previous calculation can be used. The threshold may be a preset minimum value epsilon.

And S280, calculating the failure probability of the grid structure to be tested under the target working condition according to the current reliable indexes.

The calculating of the failure probability of the grid structure to be tested under the target working condition according to the current reliable index may specifically include:

according to the formula:

p _f ＝1-Φ(β)

calculating the failure probability p of the grid structure to be tested under the target working condition _f Where Φ (·) is a distribution function of the standard normal distribution, and β is a current reliability index determined when the reliability condition is satisfied.

And S290, calculating a new current checking point according to the current reliable index, and returning to execute S250 after the calculation of the new current checking point is completed.

Specifically, the following formula can be used: z ^* ＝μ _Z +β*σ _Z Calculating to obtain a new current checking point Z ^* 。

According to the technical scheme of the embodiment of the invention, the problem that the failure probability of the grid structure is difficult to calculate because the distribution function formed by the safety state values of the tower members often does not meet the standard normal distribution is solved by normalizing the distribution function formed by the safety state values of the tower members.

EXAMPLE III

Fig. 3 is a schematic structural diagram of a security assessment apparatus for a grid structure according to a third embodiment of the present invention. As shown in fig. 3, the apparatus includes: a damage factor calculation module 310, a safety status value calculation module 320, and a failure probability calculation module 330.

And the damage factor calculation module 310 is configured to calculate damage factors corresponding to the tower members according to the real-time measured values of the local unit cross sections and/or the entire unit cross sections of the tower members in the grid structure to be measured.

And the safe state value calculating module 320 is configured to calculate a safe state value of each tower member under the target working condition according to the damage factor corresponding to each tower member.

And the failure probability calculation module 330 is configured to perform normalization processing on a distribution function formed by the safety state values of the tower members, and calculate the failure probability of the grid structure to be measured under the target working condition according to the normalization processing function obtained through the normalization processing.

On the basis of the foregoing embodiments, the damage factor calculating module 310 may be specifically configured to:

and calculating to obtain the damage factor of the target tower member according to the local unit section reduction value and the whole unit section reduction value.

On the basis of the above embodiments, the safety state value calculating module 320 may include:

the rod piece resistance and bearing capacity acquisition unit is used for respectively inputting the damage factors respectively corresponding to each tower member into a finite element simulation model matched with the target working condition, and acquiring the rod piece resistance and the rod piece bearing capacity of each tower member under the target working condition;

and the safety state value calculating unit is used for calculating the safety state value of each tower component under the target working condition according to the rod resistance and the rod bearing capacity of each tower component under the target working condition.

On the basis of the foregoing embodiments, the safety state value calculating unit may be specifically configured to:

On the basis of the foregoing embodiments, the failure probability calculating module 330 may include:

the current checking point obtaining unit is used for obtaining a current checking point, and the current checking point has a preset initial value;

an equivalent mean value and equivalent standard deviation obtaining unit, configured to perform, at the current check point, equivalent normalization processing on a distribution function formed by each of the safety state values, to obtain an equivalent mean value and an equivalent standard deviation that are matched with the current normalization processing function obtained through the processing;

the sensitivity coefficient and reliability index calculation unit is used for calculating and obtaining a current reliability index matched with the current checking point according to the equivalent mean value and the equivalent standard deviation;

a reliability index verification unit for verifying whether the current reliability index satisfies a reliability condition;

and the equivalent normalization processing unit is used for returning and executing the operation of performing equivalent normalization processing on the distribution function formed by the safety state values at the current check point until the failure probability is obtained through successful calculation.

On the basis of the foregoing embodiments, the reliability index verification unit may be specifically configured to:

verifying whether the difference value between the current reliable index and the historical reliable index obtained by previous calculation is smaller than or equal to a preset threshold value or not;

and if so, determining that the reliability condition is met, otherwise, determining that the reliability condition is not met.

On the basis of the foregoing embodiments, the reliability indicator verifying unit may be further specifically configured to:

according to the formula:

p _f ＝1-Φ(β)

calculating the failure probability p of the grid structure to be tested under the target working condition _f Wherein phi (.) is a distribution function of standard normal distribution, and beta is a current reliable index.

The safety evaluation device for the grid structure provided by the embodiment of the invention can execute the safety evaluation method for the grid structure provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.

Example four

FIG. 4 shows a schematic block diagram of an electronic device 40 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.

As shown in fig. 4, the electronic device 40 includes at least one processor 41, and a memory communicatively connected to the at least one processor 41, such as a Read Only Memory (ROM) 42, a Random Access Memory (RAM) 43, and the like, wherein the memory stores a computer program executable by the at least one processor, and the processor 41 may perform various suitable actions and processes according to the computer program stored in the Read Only Memory (ROM) 42 or the computer program loaded from a storage unit 48 into the Random Access Memory (RAM) 43. In the RAM 43, various programs and data necessary for the operation of the electronic apparatus 40 can also be stored. The processor 41, the ROM 42, and the RAM 43 are connected to each other via a bus 44. An input/output (I/O) interface 45 is also connected to the bus 44.

A plurality of components in the electronic device 40 are connected to the I/O interface 45, including: an input unit 46 such as a keyboard, a mouse, etc.; an output unit 47 such as various types of displays, speakers, and the like; a storage unit 48 such as a magnetic disk, an optical disk, or the like; and a communication unit 49 such as a network card, modem, wireless communication transceiver, etc. The communication unit 49 allows the electronic device 40 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.

Processor 41 may be a variety of general and/or special purpose processing components with processing and computing capabilities. Some examples of processor 41 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various dedicated Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, and so forth. Processor 41 performs the various methods and processes described above, such as the grid structure security assessment method as described in embodiments of the present invention. Namely:

and carrying out normalization processing on a distribution function formed by the safety state values of the tower members, and calculating the failure probability of the grid structure to be detected under the target working condition according to the normalized processing function obtained through the processing.

In some embodiments, the method of security assessment of a grid structure may be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as storage unit 48. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 40 via the ROM 42 and/or the communication unit 49. When the computer program is loaded into RAM 43 and executed by processor 41, one or more steps of the grid structure security assessment method described above may be performed. Alternatively, in other embodiments, the processor 41 may be configured to perform the grid structure security assessment method by any other suitable means (e.g., by way of firmware).

Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.

A computer program for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be performed. A computer program can execute entirely on a machine, partly on a machine, as a stand-alone software package partly on a machine and partly on a remote machine or entirely on a remote machine or server.

In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. A computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user may provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form, including acoustic, speech, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.

The computing system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service are overcome.

It should be understood that various forms of the flows shown above, reordering, adding or deleting steps, may be used. For example, the steps described in the present invention may be executed in parallel, sequentially, or in different orders, and are not limited herein as long as the desired results of the technical solution of the present invention can be achieved.

The above-described embodiments should not be construed as limiting the scope of the invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A safety assessment method for a grid structure is characterized by comprising the following steps:

2. The method according to claim 1, wherein calculating damage factors corresponding to each tower member according to real-time measured values of a local unit cross section and/or an overall unit cross section of each tower member in the grid structure to be measured comprises:

3. The method of claim 1, wherein calculating the safe state values of the tower members under the target operating conditions according to the damage factors corresponding to the tower members respectively comprises:

respectively inputting the damage factors corresponding to each tower component into a finite element simulation model matched with the target working condition, and acquiring the rod piece resistance and the rod piece bearing capacity of each tower component under the target working condition;

and calculating the safety state value of each tower member under the target working condition according to the rod piece resistance and the rod piece bearing capacity of each tower member under the target working condition.

4. The method of claim 3, wherein calculating the safe state value of each tower member under the target operating condition according to the rod member resistance and the rod member bearing capacity of each tower member under the target operating condition comprises:

5. The method according to any one of claims 1 to 4, wherein the step of normalizing the distribution function formed by the safety state values of the tower members and calculating the failure probability of the grid structure to be measured under the target working condition according to the normalized processing function obtained by the normalization processing comprises the following steps:

at the current checking point, carrying out equivalent normalization processing on a distribution function formed by each safety state value to obtain an equivalent mean value and an equivalent standard deviation matched with the processed current normalization processing function;

verifying whether the current reliability index meets a reliability condition;

6. The method of claim 5, wherein verifying whether the current reliability indicator satisfies a reliability condition comprises:

if so, determining that the reliability condition is met, otherwise, determining that the reliability condition is not met.

7. The method according to claim 5, wherein calculating the failure probability of the grid structure to be tested under the target working condition according to the current reliability index comprises:

according to the formula:

p _f ＝1-Φ(β)

8. A grid structure safety evaluation device, comprising:

the safety state value calculation module is used for calculating the safety state value of each tower component under the target working condition according to the damage factor respectively corresponding to each tower component;

and the failure probability calculation module is used for carrying out normalization processing on the distribution function formed by the safety state values of the tower members and calculating the failure probability of the grid structure to be detected under the target working condition according to the normalized processing function obtained by processing.

9. An electronic device, comprising:

at least one processor; and

the memory stores a computer program executable by the at least one processor to enable the at least one processor to implement the method of security assessment of a grid structure according to any one of claims 1 to 7.

10. A computer-readable storage medium characterized in that it stores computer instructions for causing a processor to implement, when executed, the method for security assessment of a grid structure according to any one of claims 1 to 7.