Method, system, equipment and medium for determining tower foundation instability under extreme environments

Abstract

A method, system, equipment and medium for determining instability of a tower foundation under extreme environments. The method establishes an environmental factor matrix and an environmental factor condition matrix by simulating the relationship between wind, rainfall, snowfall and the inclination of a tower foundation, then obtains the proportion of destructive factors caused by extreme conditions, calculates their weight values, and couples the weight values ​​with the inclination relationship to obtain a function of the change relationship of the tower foundation inclination under the coupling effect, and finally calculates the inclination rate of the tower foundation based on the function to complete the instability determination. In the application of this design, the influence of the three extreme environments of wind, rainfall and snowfall on the safety performance of transmission towers is comprehensively considered, and the inclination rate of the foundation of each transmission tower in the area is monitored and analyzed, and the relevant probability of tower accidents caused by extreme environmental factors is introduced, so as to further improve the accuracy of safety detection of transmission towers in extreme environments and ensure the reliability of safe operation of transmission towers.

Description

Technical Field

[0001] The invention relates to a pole tower safety detection method, belongs to the field of power transmission pole tower safety monitoring, and in particular to a pole tower foundation instability determination method, system, equipment and medium under extreme conditions. Background Art

[0002] Transmission towers are an indispensable part of power transmission line projects. The stability of their structures and the reliability of their foundations determine the safe operation of the entire power transmission line project. In most road network projects, transmission tower structures are often built in areas with very complex geological conditions such as karst, mountains, and deserts. Under different geological conditions, factors such as rainfall, temperature, and snowfall vary greatly. These harsh environmental factors may cause geological damage, foundation settlement, foundation displacement, and changes in the moisture content and strength characteristics of the foundation soil, which may cause displacement or tilt at the foundation support of the tower, thereby posing a greater safety hazard to the transmission tower structure.

[0003] At present, scholars have been relatively mature in the damage forms, monitoring methods, and standard formulation of the overall structure of the tower and the foundation. However, under different extreme load environments, the factors affecting the stability of the transmission tower vary greatly. If the monitoring indicators of the transmission tower under different extreme load environments can be obtained, it will be more guaranteed to measure the safety of the transmission tower. Therefore, a safety judgment method for transmission towers that takes into account extreme load environmental conditions is urgently needed to solve the problems existing in the existing technology. Summary of the invention

[0004] The purpose of the present invention is to overcome the above-mentioned defects and problems existing in the prior art and to provide a method, system, device and medium for determining the instability of a tower foundation under extreme environments taking into account extreme environments.

[0005] To achieve the above objectives, the technical solution of the present invention is: a method for determining the instability of a tower foundation under extreme conditions, comprising:

[0006] S1. Simulate the relationship between wind, rainfall, snowfall and the change of tower foundation inclination, and fit the relationship function between wind, rainfall, snowfall and tower foundation inclination rate respectively;

[0007] S2. Obtain the number of days, average values ​​and historical maximum values ​​of wind, rainfall and snowfall in the target area, establish an environmental factor matrix, and construct an environmental factor condition matrix based on the environmental factor matrix;

[0008] S3, obtaining the proportion of transmission tower related accidents caused by wind, rain and snow in the target area, and constructing a damage factor matrix of transmission towers;

[0009] S4, multiplying the environmental factor condition matrix and the damage factor matrix and performing normalization processing, constructing a weight matrix under the coupling effect of wind, rainfall and snowfall, and obtaining the weight values ​​of wind, rainfall and snowfall respectively;

[0010] S5, coupling the relationship function between wind, rainfall, snowfall and the inclination rate of the tower foundation and the weight values ​​of wind, rainfall and snowfall to obtain the relationship function of the tower foundation inclination change under the coupling effect;

[0011] S6. The inclination rate of the tower foundation is calculated based on the relationship function of the tower foundation inclination change under the coupling effect, and the inclination rate is compared with the inclination rate threshold to complete the instability judgment of the tower foundation.

[0012] The step S1 means: by making a model box identical to the actual site through a similar principle, inputting the same extreme environmental conditions as the actual situation, and recording the inclination change data of the tower foundation and the load change data of the tower foundation under the extreme environmental conditions through sensors, the inclination rate of the tower foundation can be obtained, and its expression is as follows:

[0013]

[0014] Among them: δ is the inclination rate of the tower foundation, Δy is the settlement difference between the two end points in the inclination direction of the tower foundation, and Δx is the distance between the tower foundations.

[0015] The relationship function between wind and tower foundation inclination rate is as follows:

[0016] δ1=f1(w);

[0017] Among them: δ1 is the inclination rate of the tower foundation under the action of wind speed, w is the wind speed value, and f1 is the function obtained by fitting the wind speed value and the inclination rate of the tower foundation;

[0018] The relationship function between rainfall and tower foundation inclination is as follows:

[0019] R = g(r);

[0020] Where: R = g(r) is the relationship function between rainfall value and tower foundation soil bearing capacity, δ2 is the inclination rate of tower foundation under rainfall, g(r) is the tower foundation soil bearing capacity, and f2 is the function obtained by fitting the tower foundation soil bearing capacity and the tower foundation inclination rate;

[0021] The relationship function between snowfall and tower foundation inclination is as follows:

[0022] δ3=f3(s);

[0023] Where: δ3 is the inclination rate of the tower foundation under the action of snowfall, S is the snowfall value, and f3 is the function obtained by fitting the snowfall value and the inclination rate of the tower foundation.

[0024] In step S2, the expression of the environmental factor matrix is ​​as follows:

[0025]

[0026] Among them: t1, t2, t3 are the number of days with wind, rainfall and snowfall in 365 days, N1, N2, N3 are the statistics of wind, rainfall and snowfall, n1, n2, n3 are the statistics of wind, rainfall and snowfall exceeding the average value, W, R, S are the wind speed value, rainfall value and snowfall value, W max , R max、 S max are the maximum values ​​of wind speed, rainfall and snowfall respectively;

[0027] Based on the analytic hierarchy process, the environmental factor condition matrix E is obtained through the environmental factor matrix D, and its expression is as follows:

[0028]

[0029] Where: e i is the environmental factor index, d ij is the element in the i-th row and j-th column of the environmental factor matrix D.

[0030] In step S3, the expression of the damage factor matrix is ​​as follows:

[0031] Q = [q1 q2 q3];

[0032] Among them: q1, q2, q3 are the proportions of transmission tower related accidents caused by wind, rainfall, and snowfall respectively.

[0033] In step S4, the expression of the weight matrix is ​​as follows:

[0034]

[0035] Among them: e1, e2, e3 are the environmental factor indexes under the influence of wind, rainfall and snowfall respectively, and A, B, C are the weight values ​​of wind, rainfall and snowfall respectively.

[0036] In step S5, the relationship function of the tower foundation tilt change under the coupling effect is as follows:

[0037] δ=Aδ1+Bδ2+Cδ3=A·f1(w)+B·f2[g(r)]+C·f3(s);

[0038] Wherein: A, B, C are the weight values ​​of wind, rainfall and snowfall respectively, δ1, δ2, δ3 are the inclination rates of the tower foundation under the action of wind, rainfall and snowfall respectively, w is the wind speed value, g(r) is the bearing capacity of the tower foundation soil, S is the snowfall value, f1 and f3 are the functions obtained by fitting the wind speed value, snowfall value and the inclination rate of the tower foundation respectively, and f2 is the function obtained by fitting the bearing capacity of the tower foundation soil and the inclination rate of the tower foundation.

[0039] A tower foundation instability determination system under extreme load environment, the system is applied to the above method, the system comprising:

[0040] The extreme environment simulation module is used to simulate the relationship between wind, rainfall, snowfall and the change of tower foundation inclination, and to obtain the relationship function between wind, rainfall, snowfall and tower foundation inclination rate by fitting respectively;

[0041] The environmental matrix construction module is used to obtain the number of days, average values ​​and historical maximum values ​​of wind, rainfall and snowfall in the target area, establish an environmental factor matrix, and construct an environmental factor condition matrix based on the environmental factor matrix;

[0042] The damage factor matrix construction module is used to obtain the proportion of transmission tower related accidents caused by wind, rain and snow in the target area and construct the damage factor matrix of transmission towers;

[0043] The environmental weight acquisition module is used to multiply the environmental factor condition matrix and the damage factor matrix and then perform normalization processing to construct a weight matrix under the coupling of wind, rainfall and snowfall, and obtain the weight values ​​of wind, rainfall and snowfall respectively;

[0044] The relationship function coupling module is used to couple the relationship function of wind, rainfall, snowfall and the inclination rate of the tower foundation and the weight values ​​of wind, rainfall and snowfall to obtain the relationship function of the tower foundation inclination change under the coupling effect;

[0045] The instability determination module is used to calculate the inclination rate of the tower foundation based on the inclination change relationship function of the tower foundation under the coupling effect, and compare the inclination rate with the inclination rate threshold to complete the instability determination of the tower foundation.

[0046] A device for determining instability of a tower foundation under extreme conditions, the device comprising a processor and a memory;

[0047] The memory is used to store computer program code and transmit the computer program code to the processor;

[0048] The processor is used to execute the above-mentioned method for determining tower foundation instability under extreme environment according to the instructions in the computer program code.

[0049] A computer-readable storage medium stores computer-executable instructions. When the computer-executable instructions are executed on a computer, the above-mentioned method for determining the instability of a tower foundation under extreme environments is implemented.

[0050] Compared with the prior art, the present invention has the following beneficial effects:

[0051] In a method, system, device and medium for determining instability of a pole tower foundation under an extreme environment, the method first simulates and obtains the relationship between wind, rainfall, snowfall and the change in the inclination of the pole tower foundation, obtains the relationship function between the wind, rainfall, snowfall and the change in the inclination rate of the pole tower foundation, then obtains the number of days, average values ​​and historical maximum values ​​of wind, rainfall and snowfall in the target area, establishes an environmental factor matrix, and constructs an environmental factor condition matrix, then obtains the proportion of accidents caused by wind, rainfall and snowfall, constructs a damage factor matrix, and then normalizes the environmental factor condition matrix and the damage factor matrix, constructs a weight matrix under coupling, obtains weight values, and then calculates the weight values ​​of wind, rainfall, snowfall and the instability of the pole tower foundation under extreme environment. The relationship function between snowfall and the inclination rate of the tower foundation and the weight value are coupled to obtain the relationship function of the tower foundation inclination change under the coupling effect. Finally, the inclination rate of the tower foundation is calculated based on the function to complete the instability judgment of the tower foundation. In the application, this design comprehensively considers the impact of three extreme environments of wind, rainfall and snowfall on the safety performance of transmission towers. By monitoring and analyzing the inclination rate of the foundation of each transmission tower in the area, and introducing the relevant probability of tower accidents caused by extreme environmental factors, the accuracy of safety detection of transmission towers in extreme environments is further improved, ensuring the reliability of safe operation of transmission towers. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 It is a flow chart of the method steps of the present invention.

[0053] Figure 2 It is a schematic diagram of the slope rate threshold value of Example 1 of the present invention.

[0054] Figure 3 It is a schematic diagram of the model box structure of Example 1 of the present invention.

[0055] Figure 4 It is a schematic diagram of the relative position of the detection device of Example 1 of the present invention.

[0056] Figure 5 It is a schematic diagram of the system structure in the present invention.

[0057] Figure 6 It is a schematic diagram of the device structure in the present invention.

[0058] In the figure: extreme environment simulation module 1, environment matrix construction module 2, damage factor matrix construction module 3, environment weight acquisition module 4, relationship function coupling module 5, instability judgment module 6, processor 7, memory 8, computer program code 81, inclination rate monitoring device 9, tower foundation 10, foundation bearing capacity monitoring device 11, foundation soil 12. DETAILED DESCRIPTION

[0059] The present invention is further described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0060] Embodiment 1:

[0061] See also Figure 1-Figure 4 , a method for determining the instability of a tower foundation under extreme conditions, comprising:

[0062] S1. Simulate the relationship between wind, rainfall, snowfall and the change of tower foundation inclination, and fit the relationship function between wind, rainfall, snowfall and tower foundation inclination rate respectively;

[0063] Furthermore, in this embodiment, a model box identical to the actual site is made by similar principles, and the extreme environmental conditions identical to the actual situation are input, such as extreme wind speed, rainfall and snowfall. The inclination change data of the tower foundation and the load change data of the tower foundation under the extreme environmental conditions are recorded by sensors, and the inclination rate of the tower foundation can be obtained, and its expression is as follows:

[0064]

[0065] Among them: δ is the inclination rate of the tower foundation, Δy is the settlement difference between the two end points in the inclination direction of the tower foundation, and Δx is the distance between the tower foundations.

[0066] In specific implementation, the model box is as follows Figure 3 As shown in the figure, the foundation soil of the transmission tower in different regions is used as the foundation of the model test. The transmission tower model is established on the foundation soil based on the similarity principle. The wind speed value, rainfall value and snowfall value in the model test are obtained according to the actual wind speed value, rainfall value and snowfall value. The three environmental effects are input into the model box in turn, and the inclination rate of the transmission tower under a single environmental effect is measured.

[0067] See also Figure 4 The sensors are an inclination rate monitoring device 9 and a foundation bearing capacity monitoring device 11 . The inclination rate monitoring device 9 is arranged on the tower foundation 10 , and the foundation bearing capacity monitoring device 11 is arranged in the foundation soil 12 near the tower foundation 10 .

[0068] Furthermore, the relationship function between the wind and the inclination rate of the tower foundation is as follows:

[0069] δ1=f1(w);

[0070] Among them: δ1 is the inclination rate of the tower foundation under the action of wind speed, w is the wind speed value, and f1 is the function obtained by fitting the wind speed value and the inclination rate of the tower foundation;

[0071] Furthermore, the relationship function between the wind and the inclination rate of the tower base can be obtained based on the similarity principle by inputting different wind speed values ​​into the model box, statistically obtaining the inclination rate of the transmission tower under different wind speeds, and then fitting the numerical relationship between the two. The fitting method in this embodiment is the least squares method; the relationship function of snowfall is consistent with the principle of wind and will not be repeated.

[0072] The relationship function between rainfall and tower foundation inclination is as follows:

[0073] δ2=f2[g(r)];

[0074] Among them: δ2 is the inclination rate of the tower foundation under rainfall, g(r) is the bearing capacity of the tower foundation soil, and f2 is the function obtained by fitting the bearing value and the inclination rate of the tower foundation;

[0075] Furthermore, the relationship function between rainfall and the inclination rate of the tower foundation is obtained by inputting different rainfall values, statistically obtaining the bearing capacity values ​​of the transmission tower foundation soil under different rainfall values, and fitting them through the numerical relationship between the two to obtain the relationship function R=g(r) between the two, and according to the numerical relationship between the bearing capacity value of the tower foundation soil and the inclination rate of the transmission tower, the change relationship function between the bearing capacity value of the tower foundation soil and the inclination rate of the transmission tower is obtained by fitting.

[0076] The relationship function between snowfall and tower foundation inclination is as follows:

[0077] δ3=f3(s);

[0078] Where: δ3 is the inclination rate of the tower foundation under the action of snowfall, S is the snowfall value, and f3 is the function obtained by fitting the snowfall value and the inclination rate of the tower foundation.

[0079] S2. Obtain the number of days, average values ​​and historical maximum values ​​of wind, rainfall and snowfall in the target area, establish an environmental factor matrix, and construct an environmental factor condition matrix based on the environmental factor matrix;

[0080] Furthermore, the expression of the environmental factor matrix is ​​as follows:

[0081]

[0082] Among them: t1, t2, t3 are the number of days with wind, rainfall and snowfall in 365 days, N1, N2, N3 are the statistics of wind, rainfall and snowfall, n1, n2, n3 are the statistics of wind, rainfall and snowfall exceeding the average value, W, R, S are the customary wind speed value, rainfall value and snowfall value, W max , R max , S max are the maximum values ​​of wind speed, rainfall and snowfall respectively;

[0083] Based on the analytic hierarchy process, the environmental factor condition matrix E is obtained through the environmental factor matrix D, and its expression is as follows:

[0084]

[0085] Where: e i is the environmental factor index, d ij is the element in the i-th row and j-th column of the environmental factor matrix D.

[0086] S3, obtaining the proportion of transmission tower related accidents caused by wind, rain and snow in the target area, and constructing a damage factor matrix of transmission towers;

[0087] Furthermore, the expression of the damage factor matrix is ​​as follows:

[0088] Q = [q1 q2 q3];

[0089] Among them: q1, q2, q3 are the proportions of transmission tower related accidents caused by wind, rainfall, and snowfall, respectively, which can be obtained through historical survey data.

[0090] S4, multiplying the environmental factor condition matrix and the damage factor matrix and performing normalization processing, constructing a weight matrix under the coupling effect of wind, rainfall and snowfall, and obtaining the weight values ​​of wind, rainfall and snowfall respectively;

[0091] Furthermore, the expression of the weight matrix is ​​as follows:

[0092]

[0093] Among them: e1, e2, e3 are the environmental factor indexes under the influence of wind, rainfall and snowfall respectively, and A, B, C are the weight values ​​of wind, rainfall and snowfall respectively.

[0094] S5, coupling the relationship function between wind, rainfall, snowfall and the inclination rate of the tower foundation and the weight values ​​of wind, rainfall and snowfall to obtain the relationship function of the tower foundation inclination change under the coupling effect;

[0095] Furthermore, the relationship function of the tower foundation tilt change under the coupling effect is as follows:

[0096] δ=Aδ1+Bδ2+Cδ3=A·f1(w)+B·f2[g(r)]+C·f3(s);

[0097] S6. The inclination rate of the tower foundation is calculated based on the relationship function of the tower foundation inclination change under the coupling effect, and the inclination rate is compared with the inclination rate threshold to complete the instability judgment of the tower foundation.

[0098] In this embodiment, the slope threshold is determined by referring to DL / T 5219-2023 "Code for Design of Overhead Transmission Line Foundations", see Figure 2 .

[0099] Embodiment 2:

[0100] See also Figure 5 , a tower foundation instability determination system under extreme load environment, the system is applied to the method described in Example 1, the system comprising:

[0101] Extreme environment simulation module 1 is used to simulate the relationship between wind, rainfall, snowfall and the change of tower foundation inclination, and to fit the relationship functions between wind, rainfall, snowfall and tower foundation inclination rate respectively;

[0102] Further, the extreme environment simulation module 1 obtains the relationship function according to the following method;

[0103] By making a model box identical to the actual site based on similar principles, inputting the same extreme environmental conditions as the actual situation, and using sensors to record the inclination change data of the tower foundation and the load change data of the tower foundation under extreme environmental conditions, the tower foundation inclination rate can be obtained. The expression is as follows:

[0104]

[0105] Among them: δ is the inclination rate of the tower foundation, Δy is the settlement difference between the two end points in the inclination direction of the tower foundation, and Δx is the distance between the tower foundations.

[0106] The relationship function between wind and tower foundation inclination rate is as follows:

[0107] δ1=f1(w);

[0108] Among them: δ1 is the inclination rate of the tower foundation under the action of wind speed, w is the wind speed value, and f1 is the function obtained by fitting the wind speed value and the inclination rate of the tower foundation;

[0109] The relationship function between rainfall and tower foundation inclination is as follows:

[0110] δ2=f2[g(r)];

[0111] R = g(r);

[0112] Where: R = g(r) is the relationship function between rainfall value and tower foundation soil bearing capacity, δ2 is the inclination rate of tower foundation under rainfall, g(r) is the tower foundation soil bearing capacity, and f2 is the function obtained by fitting the tower foundation soil bearing capacity and the tower foundation inclination rate;

[0113] The relationship function between snowfall and tower foundation inclination is as follows:

[0114] δ3=f3(s);

[0115] Where: δ3 is the inclination rate of the tower foundation under the action of snowfall, S is the snowfall value, and f3 is the function obtained by fitting the snowfall value and the inclination rate of the tower foundation.

[0116] Environmental matrix construction module 2 is used to obtain the number of days, average values ​​and historical maximum values ​​of wind, rainfall and snowfall in the target area, establish an environmental factor matrix, and construct an environmental factor condition matrix based on the environmental factor matrix;

[0117] Furthermore, the expressions of the environmental factor matrix and the environmental factor condition matrix constructed by the environmental matrix construction module 2 are as follows:

[0118]

[0119] Among them: t1, t2, t3 are the number of days with wind, rainfall and snowfall in 365 days, N1, N2, N3 are the statistics of wind, rainfall and snowfall, n1, n2, n3 are the statistics of wind, rainfall and snowfall exceeding the average value, W, R, S are the wind speed value, rainfall value and snowfall value, W max , R max、 S max are the maximum values ​​of wind speed, rainfall and snowfall respectively;

[0120] Based on the analytic hierarchy process, the environmental factor condition matrix E is obtained through the environmental factor matrix D, and its expression is as follows:

[0121]

[0122] Where: e i is the environmental factor index, d ij is the element in the i-th row and j-th column of the environmental factor matrix D.

[0123] The damage factor matrix construction module 3 is used to obtain the proportion of transmission tower related accidents caused by wind, rain and snow in the target area, and to construct the damage factor matrix of the transmission tower;

[0124] Furthermore, the expression of the damage factor matrix constructed by the damage factor matrix construction module 3 is as follows:

[0125] Q = [q1 q2 q3];

[0126] Among them: q1, q2, q3 are the proportions of transmission tower related accidents caused by wind, rainfall, and snowfall respectively.

[0127] The environmental weight acquisition module 4 is used to perform normalization after multiplying the environmental factor condition matrix and the damage factor matrix, construct a weight matrix under the coupling effect of wind, rainfall and snowfall, and obtain the weight values ​​of wind, rainfall and snowfall respectively;

[0128] Furthermore, the expression of the weight matrix constructed by the environment weight acquisition module 4 is as follows:

[0129]

[0130] Among them: e1, e2, e3 are the environmental factor indexes under the influence of wind, rainfall and snowfall respectively, and A, B, C are the weight values ​​of wind, rainfall and snowfall respectively.

[0131] The relationship function coupling module 5 is used to couple the relationship function of wind, rainfall, snowfall and the inclination rate of the tower foundation and the weight values ​​of wind, rainfall and snowfall to obtain the relationship function of the tower foundation inclination change under the coupling effect;

[0132] Furthermore, the relationship function of the tower foundation tilt change under the coupling effect constructed by the relationship function coupling module 5 is as follows:

[0133] δ=Aδ1+Bδ2+Cδ3=A·f1(w)+B·f2[g(r)]+C·f3(s);

[0134] Wherein: A, B, C are the weight values ​​of wind, rainfall and snowfall respectively, δ1, δ2, δ3 are the inclination rates of the tower foundation under the action of wind, rainfall and snowfall respectively, w is the wind speed value, g(r) is the bearing capacity of the tower foundation soil, S is the snowfall value, f1 and f3 are the functions obtained by fitting the wind speed value, snowfall value and the inclination rate of the tower foundation respectively, and f2 is the function obtained by fitting the bearing capacity of the tower foundation soil and the inclination rate of the tower foundation.

[0135] The instability determination module 6 is used to calculate the inclination rate of the tower foundation based on the inclination change relationship function of the tower foundation under the coupling effect, and compare the inclination rate with the inclination rate threshold to complete the instability determination of the tower foundation.

[0136] Embodiment 3:

[0137] See also Figure 6 , a tower foundation instability determination device under extreme environment, the device comprising a processor 7 and a memory 8;

[0138] The memory 8 is used to store the computer program code 81 and transmit the computer program code 81 to the processor 7;

[0139] The processor 7 is used to execute the method for determining tower foundation instability under extreme environment described in Example 1 according to the instructions in the computer program code 81.

[0140] Embodiment 4:

[0141] A computer-readable storage medium stores computer-executable instructions. When the computer-executable instructions are executed on a computer, the method for determining tower foundation instability under extreme environments described in Example 1 is implemented.

[0142] Generally speaking, the computer instructions for implementing the method of the present invention may be carried in any combination of one or more computer-readable storage media. Non-transitory computer-readable storage media may include any computer-readable media, except for the signal itself that is temporarily propagating.

[0143] The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination thereof. More specific examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EKROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present invention, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in conjunction with an instruction execution system, device, or device.

[0144] Computer program code for performing the operation of the present invention can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, SMalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages, in particular, Python suitable for neural network computing and platform frameworks based on TensorFlow, PyTorch, etc. can be used. The program code can be executed entirely on the user's computer, partially on the user's computer, as an independent software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer or to an external computer (for example, using an Internet service provider to connect via the Internet) through any type of network, including a local area network (LAN) or a wide area network (WAN).

[0145] The above-mentioned device and non-transitory computer-readable storage medium can refer to the specific description of the method for determining the instability of a tower foundation under an extreme environment and its beneficial effects, which will not be repeated here.

[0146] Although the embodiments of the present invention have been shown and described above, it should be understood that the above embodiments are exemplary and should not be construed as limitations on the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. A method for determining the instability of a tower foundation under extreme conditions, characterized in that: include: S1. Simulate the relationship between wind, rainfall, snowfall and the change of tower foundation inclination, and fit the relationship function between wind, rainfall, snowfall and tower foundation inclination rate respectively; The relationship function between wind and tower foundation inclination rate is as follows: δ1=f1(w); Among them: δ1 is the inclination rate of the tower foundation under the action of wind speed, w is the wind speed value, and f1 is the function obtained by fitting the wind speed value and the inclination rate of the tower foundation; The relationship function between rainfall and tower foundation inclination is as follows: δ2=f2[g(r)]; R = g(r); Where: R = g(r) is the relationship function between rainfall value and tower foundation soil bearing capacity, δ2 is the inclination rate of tower foundation under rainfall, g(r) is the tower foundation soil bearing capacity, and f2 is the function obtained by fitting the tower foundation soil bearing capacity and the tower foundation inclination rate; The relationship function between snowfall and tower foundation inclination is as follows: δ3=f3(s); Among them: δ3 is the inclination rate of the tower foundation under the action of snowfall, S is the snowfall value, and f3 is the function obtained by fitting the snowfall value and the inclination rate of the tower foundation; S2. Obtain the number of days, average values ​​and historical maximum values ​​of wind, rainfall and snowfall in the target area, establish an environmental factor matrix, and construct an environmental factor condition matrix based on the environmental factor matrix; In step S2, the expression of the environmental factor matrix is ​​as follows: Among them: t1, t2, t3 are the number of days with wind, rainfall and snowfall in 365 days, N1, N2, N3 are the statistics of wind, rainfall and snowfall, n1, n2, n3 are the statistics of wind, rainfall and snowfall exceeding the average value, W, R, S are the wind speed value, rainfall value and snowfall value, W max , R max , S max are the maximum values ​​of wind speed, rainfall and snowfall respectively; Based on the analytic hierarchy process, the environmental factor condition matrix E is obtained through the environmental factor matrix D, and its expression is as follows: Where: e i is the environmental factor index, d ij is the element in the i-th row and j-th column of the environmental factor matrix D; S3, obtaining the proportion of transmission tower related accidents caused by wind, rain and snow in the target area, and constructing a damage factor matrix of transmission towers; In step S3, the expression of the damage factor matrix is ​​as follows: Q = [q1 q2 q3]; Among them: q1, q2, and q3 are the proportions of transmission tower-related accidents caused by wind, rainfall, and snowfall, respectively; S4, multiplying the environmental factor condition matrix and the damage factor matrix and performing normalization processing, constructing a weight matrix under the coupling effect of wind, rainfall and snowfall, and obtaining the weight values ​​of wind, rainfall and snowfall respectively; In step S4, the expression of the weight matrix is ​​as follows: Among them: e1, e2, e3 are the environmental factor indexes under the influence of wind, rainfall and snowfall respectively, A, B, C are the weight values ​​of wind, rainfall and snowfall respectively; S5, coupling the relationship function between wind, rainfall, snowfall and the inclination rate of the tower foundation and the weight values ​​of wind, rainfall and snowfall to obtain the relationship function of the tower foundation inclination change under the coupling effect; In step S5, the relationship function of the tower foundation tilt change under the coupling effect is as follows: δ=Aδ1+Bδ2+Cδ3=A·f1(w)+B·f2[g(r)]+C·f3(s); Where: A, B, C are the weight values ​​of wind, rainfall, and snowfall, respectively; δ1, δ2, and δ3 are the inclination rates of the tower foundation under the action of wind, rainfall, and snowfall, respectively; w is the wind speed value; g(r) is the bearing capacity of the tower foundation soil; S is the snowfall value; f1 and f3 are the functions obtained by fitting the wind speed value, snowfall value, and the inclination rate of the tower foundation, respectively; and f2 is the function obtained by fitting the bearing capacity of the tower foundation soil and the inclination rate of the tower foundation; S6. The inclination rate of the tower foundation is calculated based on the relationship function of the tower foundation inclination change under the coupling effect, and the inclination rate is compared with the inclination rate threshold to complete the instability judgment of the tower foundation.

2. The method for determining tower foundation instability under extreme environment according to claim 1, characterized in that: The step S1 means: by making a model box identical to the actual site through a similar principle, inputting the same extreme environmental conditions as the actual situation, and recording the inclination change data of the tower foundation and the load change data of the tower foundation under the extreme environmental conditions through sensors, the inclination rate of the tower foundation can be obtained, and its expression is as follows: Among them: δ is the inclination rate of the tower foundation, Δy is the settlement difference between the two end points in the inclination direction of the tower foundation, and Δx is the distance between the tower foundations.

3. A tower foundation instability determination system under extreme environment, characterized by: The system is applied to the method described in claim 1 or 2, and the system comprises: The extreme environment simulation module (1) is used to simulate the relationship between wind, rainfall, snowfall and the change of the tower foundation inclination, and to obtain the relationship functions between wind, rainfall, snowfall and the tower foundation inclination rate by fitting respectively; The environmental matrix construction module (2) is used to obtain the number of days, average values ​​and historical maximum values ​​of wind, rainfall and snowfall in the target area, establish an environmental factor matrix, and construct an environmental factor condition matrix based on the environmental factor matrix; A damage factor matrix construction module (3) is used to obtain the proportion of transmission tower related accidents caused by wind, rain and snow in the target area, and to construct a damage factor matrix of the transmission tower; The environmental weight acquisition module (4) is used to perform normalization after multiplying the environmental factor condition matrix with the damage factor matrix, construct a weight matrix under the coupling effect of wind, rainfall and snowfall, and obtain the weight values ​​of wind, rainfall and snowfall respectively; A relationship function coupling module (5) is used to couple the relationship function between wind, rainfall, snowfall and the inclination rate of the tower foundation and the weight values ​​of wind, rainfall and snowfall to obtain the relationship function of the tower foundation inclination change under the coupling effect; The instability determination module (6) is used to calculate the inclination rate of the pole tower foundation based on the relationship function of the inclination change of the pole tower foundation under the coupling effect, and compare the inclination rate with the inclination rate threshold to complete the instability determination of the pole tower foundation.

4. A tower foundation instability determination device under extreme environment, characterized by: The device comprises a processor (7) and a memory (8); The memory (8) is used to store computer program code (81) and transmit the computer program code (81) to the processor (7); The processor (7) is used to execute the method for determining tower foundation instability under extreme environments according to any one of claims 1 or 2 according to the instructions in the computer program code (81).

5. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions. When the computer-executable instructions are executed on a computer, the method for determining the instability of a tower foundation under extreme environments as described in claim 1 or 2 is implemented.

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