A grounding grid corrosion assessment method, system, equipment and medium

Abstract

The present application discloses a method, system, equipment and medium for evaluating corrosion of a grounding grid. The method comprises: constructing a corrosion model based on a planar design drawing and design electrical parameters of a grounding grid to be evaluated, and indicating the numbers of nodes and branches of the grounding grid to be evaluated, and setting the resistance of each branch; injecting current into the grounding down conductor node, and using the measured voltage value between each grounding down conductor as the node voltage before corrosion; after changing the resistance value of the branch, re-injecting current into the grounding down conductor node, and using the measured voltage value between each grounding down conductor as the node voltage after corrosion; using the corrosion model as the objective function of an improved Harris Eagle algorithm, and substituting the node voltage before corrosion and the node voltage after corrosion into the objective function, solving to obtain the corrosion branch number and the corresponding increased resistance multiple, thereby determining the corrosion position and corrosion degree of the grounding grid to be evaluated, solving the problem of complex evaluation process and low accuracy in the prior art.

Description

Technical Field

[0001] The present application relates to the field of grounding grid technology, and in particular to a grounding grid corrosion assessment method, system, equipment, and medium. Background Art

[0002] Grounding grid construction is a crucial measure to ensure the safety of electrical equipment and prevent casualties among operators. However, due to its underground location, the complex and ever-changing underground environment can easily lead to corrosion and fracture of the grounding grid, which can degrade its performance and significantly impact the operational stability of the power grid. Excavating large areas of the grounding grid can make it difficult to locate corrosion points, waste manpower and financial resources, and require the suspension of some lines, significantly impacting people's daily lives.

[0003] Currently, the mainstream methods for grounding grid corrosion assessment include electromagnetic field analysis, electrical network theory analysis, and transient electromagnetic method (TEM). TEM analysis, by analyzing the distribution and patterns of the ground grid's surface electromagnetic field, can roughly determine the extent of grounding grid corrosion. However, it cannot precisely determine the exact location of corrosion, requiring subsequent excavation to confirm the location. Because this method involves electromagnetic fields, electromagnetic signal interference must be considered during actual testing, further reducing the accuracy of this method in determining the location of grounding grid corrosion. TEM analysis requires reference to grounding grid construction design drawings to obtain the electrical parameters of the grid at the time of construction, placing higher demands on relevant documentation. This method requires the use of intelligent algorithms to solve the corrosion diagnostic function. However, with the wide variety of intelligent algorithms currently available, each with its own advantages and disadvantages, selecting the appropriate algorithm for solving this function is crucial for TEM analysis. TEM suffers from similar drawbacks to electromagnetic field analysis, including interference from electromagnetic signals, which is stronger than with TEM analysis.

[0004] Therefore, there is an urgent need to design a simple, efficient and accurate grounding grid corrosion assessment method. Summary of the Invention

[0005] The present application provides a grounding grid corrosion assessment method, system, equipment and medium to solve the problem of complex assessment process and low accuracy in the existing technology.

[0006] In view of this, the first aspect of the present application provides a grounding grid corrosion assessment method, the method comprising:

[0007] Based on the plane design drawing and design electrical parameters of the grounding grid to be evaluated, a corrosion model of the grounding grid to be evaluated is constructed, and the node and branch numbers of the grounding grid to be evaluated are indicated, and the resistance of each branch is set;

[0008] Inject current into the grounding down conductor node, and use the measured voltage value between each grounding down conductor as the node voltage before corrosion;

[0009] After changing the resistance value of the branch, the current is re-injected into the grounding down conductor node, and the voltage value between each grounding down conductor is measured as the node voltage after corrosion;

[0010] The corrosion model is used as the objective function of the improved Harris Eagle algorithm, and the node voltage before corrosion and the node voltage after corrosion are substituted into the objective function to obtain the corrosion branch number and the corresponding increased resistance multiple, thereby determining the corrosion location and corrosion degree of the grounding grid to be evaluated.

[0011] Optionally, constructing a corrosion model of the grounding grid to be evaluated based on the planar design drawing and designed electrical parameters of the grounding grid to be evaluated specifically includes:

[0012] Establish KCL and KVL equations based on the number of nodes, branches, and grounding conductors in the plan design of the grounding grid to be evaluated, as well as the design electrical parameters;

[0013] Based on the KCL and KVL equations, a derivation and transformation is performed to obtain a relationship between the node voltage change and the branch resistance change;

[0014] Based on the relationship between the node voltage change and the branch resistance change, and according to the characteristics of the grounding grid corrosion and the conductor resistance change, a corrosion model of the grounding grid to be evaluated is established.

[0015] Optionally, the corrosion model is specifically:

[0016]

[0017] in,

[0018] Where, ΔU m is the node voltage of the grounding down conductor, U' m is the node voltage of the grounding conductor after grounding grid corrosion, U mo is the node voltage of the grounding conductor before the grounding grid is corroded, M' is the sensitivity matrix of the grounding conductor nodes with m rows and b columns, x j is the resistance change of the branch, ΔR j R is the quantity to be optimized, jo is the starting value of the branch resistance.

[0019] Optionally, the improvement process of the improved Harris Hawk algorithm specifically includes:

[0020] By introducing the concept of good point sets, the diversity of the initial stage of Harris Hawk is increased;

[0021] The prey escape energy E is nonlinearly improved through dynamic adaptive parameters, thereby strengthening the balance between the exploration and exploitation stages of Harris's hawk.

[0022] The advantages and disadvantages of the original solution and the reverse solution are evaluated through reverse learning to obtain a better solution.

[0023] A second aspect of the present application provides a grounding grid corrosion assessment system, the system comprising:

[0024] A construction unit is used to construct a corrosion model of the grounding grid to be evaluated based on the plane design drawing and the designed electrical parameters of the grounding grid to be evaluated, and to indicate the numbers of the nodes and branches of the grounding grid to be evaluated, and to set the resistance of each branch;

[0025] The first measuring unit is used to inject current into the grounding down conductor node and use the measured voltage value between each grounding down conductor as the node voltage before corrosion;

[0026] The second measuring unit is used to re-inject current into the grounding down conductor node after changing the resistance value of the branch, and use the measured voltage value between each grounding down conductor as the node voltage after corrosion;

[0027] An evaluation unit is used to use the corrosion model as the objective function of the improved Harris Eagle algorithm, and substitute the node voltage before corrosion and the node voltage after corrosion into the objective function to solve and obtain the corrosion branch number and the corresponding increased resistance multiple, so as to determine the corrosion position and corrosion degree of the grounding grid to be evaluated.

[0028] Optionally, constructing a corrosion model of the grounding grid to be evaluated based on the planar design drawing and designed electrical parameters of the grounding grid to be evaluated specifically includes:

[0029] Establish KCL and KVL equations based on the number of nodes, branches, and grounding conductors in the plan design of the grounding grid to be evaluated, as well as the design electrical parameters;

[0030] Based on the KCL and KVL equations, a derivation and transformation is performed to obtain a relationship between the node voltage change and the branch resistance change;

[0031] Based on the relationship between the node voltage change and the branch resistance change, and according to the characteristics of the grounding grid corrosion and the conductor resistance change, a corrosion model of the grounding grid to be evaluated is established.

[0032] Optionally, the corrosion model is specifically:

[0033]

[0034] in,

[0035] Where, ΔU m is the node voltage of the grounding down conductor, U' m is the node voltage of the grounding conductor after grounding grid corrosion, U mo is the node voltage of the grounding conductor before the grounding grid is corroded, M' is the sensitivity matrix of the grounding conductor nodes with m rows and b columns, x j is the resistance change of the branch, ΔR j R is the quantity to be optimized, jo is the starting value of the branch resistance.

[0036] Optionally, the improvement process of the improved Harris Hawk algorithm specifically includes:

[0037] By introducing the concept of good point sets, the diversity of the initial stage of Harris Hawk is increased;

[0038] The prey escape energy E is nonlinearly improved through dynamic adaptive parameters, thereby strengthening the balance between the exploration and exploitation stages of Harris's hawk.

[0039] The advantages and disadvantages of the original solution and the reverse solution are evaluated through reverse learning to obtain a better solution.

[0040] A third aspect of the present application provides a grounding grid corrosion assessment device, the device comprising a processor and a memory:

[0041] The memory is used to store program code and transmit the program code to the processor;

[0042] The processor is used to execute the steps of the grounding grid corrosion assessment method as described in the first aspect according to the instructions in the program code.

[0043] In a fourth aspect, the present application provides a computer-readable storage medium, which is used to store program code, and the program code is used to execute the grounding grid corrosion assessment method described in the first aspect.

[0044] It can be seen from the above technical solutions that this application has the following advantages:

[0045] The present application provides a network corrosion assessment method, comprising: constructing a corrosion model of the grounding network to be assessed based on a planar design drawing and design electrical parameters of the grounding network to be assessed, noting the node and branch numbers of the grounding network to be assessed, and setting the resistance of each branch; injecting current into the grounding down conductor node, and using the measured voltage value between each grounding down conductor as the node voltage before corrosion; after changing the resistance value of the branch, re-injecting current into the grounding down conductor node, and using the measured voltage value between each grounding down conductor as the node voltage after corrosion; using the corrosion model as the objective function of the improved Harris Eagle algorithm, and substituting the node voltage before corrosion and the node voltage after corrosion into the objective function, solving to obtain the corrosion branch number and the corresponding increased resistance multiple, thereby determining the corrosion position and corrosion degree of the grounding network to be assessed.

[0046] Compared with existing technologies, this application is simpler to implement. It only requires a grounding grid plan drawing and related design electrical parameters. Using existing simulation software, all parameters for the model can be obtained. The calculation speed is fast and the solution accuracy is high. This solves the problem of complex evaluation processes and low accuracy in existing technologies. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 A schematic diagram of a flow chart of a grounding grid corrosion assessment method provided in an embodiment of the present application;

[0048] Figure 2 A schematic structural diagram of a grounding grid model provided in an embodiment of the present application;

[0049] Figure 3 This is a structural diagram of a grounding grid corrosion assessment system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0050] In order to help those skilled in the art better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of this application.

[0051] See also Figure 1 , a grounding grid corrosion assessment method provided in an embodiment of the present application includes:

[0052] Step 101: Based on the planar design drawing and the designed electrical parameters of the grounding grid to be evaluated, a corrosion model of the grounding grid to be evaluated is constructed, and the node and branch numbers of the grounding grid to be evaluated are indicated, and the resistance of each branch is set;

[0053] It should be noted that based on the plane design drawing and design electrical parameters of the grounding grid to be evaluated, the corrosion model of the grounding grid to be evaluated is established using Simulink software, and the node and branch numbers of the grounding grid to be evaluated are indicated, and the resistance of each branch is set.

[0054] Step 102: injecting current into the ground down conductor node, and taking the measured voltage value between each ground down conductor as the node voltage before corrosion;

[0055] It should be noted that different grounding down conductor nodes are selected to inject DC current, and then the voltage value between each grounding down conductor is measured as the node voltage before corrosion.

[0056] Step 103: After changing the resistance value of the branch, re-inject current into the ground down conductor node, and use the measured voltage value between each ground down conductor as the node voltage after corrosion;

[0057] It should be noted that the corrosion conditions of different branches are simulated by increasing the resistance values of different branches, thereby simulating the corrosion conditions of the actual ground grid. Then, the same grounding down conductor node as in step 102 is selected to inject DC current, and the voltage value between each grounding down conductor is measured as the node voltage after corrosion.

[0058] Step 104: Use the corrosion model as the objective function of the improved Harris Eagle algorithm, and substitute the node voltage before and after corrosion into the objective function to obtain the corrosion branch number and the corresponding increased resistance multiple, thereby determining the corrosion location and corrosion degree of the grounding grid to be evaluated.

[0059] It should be noted that the corrosion model is used as the objective function of the improved Harris Eagle algorithm, and the resistance value of each branch and the node voltage before and after corrosion are substituted into the objective function of the improved Harris Eagle algorithm. The corrosion branch number and the corresponding increase in resistance multiple can be obtained by solving the problem, thereby effectively diagnosing the actual grounding grid corrosion location and corrosion degree.

[0060] In one embodiment, the step 101 of constructing a corrosion model of the grounding grid to be evaluated based on the planar design drawing and the designed electrical parameters of the grounding grid to be evaluated specifically includes:

[0061] S1. Establish KCL and KVL equations based on the number of nodes, branches, and grounding conductors in the plan design of the grounding grid to be evaluated, as well as the design electrical parameters;

[0062] It should be noted that since the grounding grid is mainly made of galvanized steel, its resistance is much smaller than the soil resistance. At the same time, the thermal effect of branch capacitance and inductance on the grounding grid can be ignored. Therefore, the grounding grid can be regarded as a pure resistance circuit.

[0063] Assume that the grounding grid has n+1 nodes, b branches, and m+1 grounding down conductors. The structural diagram of the grounding grid is as follows: Figure 2 shown.

[0064] If two points i and j are selected from m+1 grounding conductors and a DC excitation with an amplitude of I0 is applied, the following KCL and KVL equations can be established for the grounding grid:

[0065] Y n =AY b A T (3-1)

[0066] I s =Y n U n (3-2)

[0067] U n =Y n -1 I s (3-3)

[0068] Among them, A is the correlation matrix of the grounding grid, Y b is the branch admittance matrix, Y n is the node admittance matrix, I s is the injected current column vector, U n is the node voltage column vector.

[0069] S2. Derivation and transformation are performed based on the KCL and KVL equations to obtain a relationship between the node voltage change and the branch resistance change;

[0070] It should be noted that by taking the limit of formula (3-3), the changing trend of branch resistance and node voltage can be obtained:

[0071]

[0072] Among them, R j is the resistance value of any branch. If the derivative of the unit matrix with respect to any variable is 0, the above formula can be transformed into:

[0073]

[0074] Expand to get:

[0075]

[0076] By moving the items, we can get:

[0077]

[0078] Substituting Equations 3-1 to 3-3 and 3-7 into 3-4, we can obtain:

[0079]

[0080] Known Y n is a diagonal matrix, then It can be expressed as:

[0081]

[0082] From formula (3-8), we can see that when the resistance of each branch is known, we can deduce the trend of the voltage change of each node due to the change of each branch resistance. From formula (3-8), we can deduce the relationship between the change of node voltage and the change of branch resistance:

[0083] ΔU n =M·ΔR j Formula (3-10)

[0084] Where M is the sensitivity matrix with a size of n rows and b columns. Here, the M matrix can be simplified to an M' matrix with m rows and b columns. That is, only the node voltage of the grounding down conductor needs to be selected. Therefore, Equation (3-10) can be transformed into:

[0085] U m =M'*ΔR j Formula (3-11)

[0086] S3. Based on the relationship between the node voltage change and the branch resistance change, and according to the corrosion condition of the grounding grid and the characteristics of the conductor resistance change, a corrosion model of the grounding grid to be evaluated is established.

[0087] When the grounding grid is corroded, the conductors will shrink to varying degrees, which will cause the conductor resistance to increase. The value of the resistance increase is related to the degree of corrosion of the conductor. The more severe the corrosion, the greater the resistance increase. Therefore, the following grounding grid corrosion model can be established:

[0088]

[0089] in,

[0090] Where, ΔU m is the node voltage of the grounding down conductor, U' m is the node voltage of the grounding conductor after grounding grid corrosion, U mo is the node voltage of the grounding conductor before the grounding grid is corroded, M' is the sensitivity matrix of the grounding conductor nodes with m rows and b columns, x j is the resistance change of the branch, ΔR j R is the quantity to be optimized, jo is the starting value of the branch resistance.

[0091] The following is an explanation of the traditional Harris Hawk algorithm:

[0092] The Harris Hawk algorithm simulates the hunting behaviors of a Harris Hawk, such as group hunting and raiding, to optimize the objective function. The algorithm can be divided into two phases: exploration and exploitation. Exploration is the global search phase, while exploitation is the local search phase.

[0093] Exploratory behavior:

[0094] Let the escape energy of the prey be E, which represents the ability of the prey to escape. When |E| ≥ 1, it means that the escape ability is large, and the Harris hawk needs to perform a global search. The expression is as follows:

[0095]

[0096] Where X(t+1) and X(t) are the t+1th and tth iteration positions of the Harris Hawk, respectively. rand is the tth random position of Harris Hawk, X rabbit It is the current optimal position of Harris Hawk, X m is the center position of the Harris hawk group, r1~r4 and q are all random numbers in [0,1], and ub and lb are the upper and lower limits of the parameters to be optimized.

[0097] The escape energy E is set as a variable that decreases linearly with the number of iterations. Its expression is:

[0098]

[0099] Where E0 is the initial energy value of the prey, ranging from [0,1], T is the maximum number of iterations, and t is the current number of iterations.

[0100] Development behavior:

[0101] When |E| < 1, it indicates that the escape energy is small, and the Harris Hawk hunts the prey, which means it is conducting a local search. It can be divided into soft hunting, hard hunting, fast diving soft hunting, and fast diving hard hunting. Introducing the hunting random number r, r∈(0,1), when:

[0102] 1) When 0.5≤|E|<1 and r≥0.5, it means that the prey still has sufficient energy to escape, and the Harris Hawk performs soft hunting. At this time, the Harris Hawk's position update formula is:

[0103] X(t+1)=ΔX(t)-E|JX rabbit (t)-X m (t)|Formula (3-15)

[0104] Where J is the prey jumping energy, which is a random number between [0, 2].

[0105] 2) When |E| < 0.5 and r ≥ 0.5, it means that the prey's escape energy is low and the Harris Hawk performs hard hunting. At this time, the Harris Hawk's position update formula is:

[0106] X(t+1)=X rabbit (t)-E|ΔX(t)|Formula (3-16)

[0107] 3) When 0.5≤|E|<1 and r<0.5, the Harris Hawk performs a rapid dive soft hunting. At this time, the Harris Hawk's position update formula is:

[0108] Y=X rabbit (t)-E|JX rabbit (t)-X m (t)|

[0109] Z=Y+S×LF(D) Formula (3-17), (3-18)

[0110] Where J is the jumping energy of the prey, which is a random number between [0, 2]; S is a random vector with the same dimension as the quantity to be solved, and LF is the Levy flight function; Formula (3-18) represents the position update formula for hunting failure. When the new position target value is worse than the original position target value, it means that the hunting has failed.

[0111] 4) When |E| < 0.5 and r < 0.5, the Harris Hawk performs a fast dive hard hunt. The Harris Hawk's position update formula is:

[0112] Y=X rabbit (t)-E|JX rabbit (t)-X m (t)|Formula (3-19)

[0113] where X m is the center position of Harris's hawk group. Similarly, when the hunting method fails, the position is updated using formula (3-18).

[0114] In one embodiment, the improvement process of the improved Harris Hawk algorithm in step 104 specifically includes:

[0115] (1) Increase the diversity of the initial stage of Harris Hawk by introducing the concept of good point set;

[0116] It should be noted that the good point set:

[0117] The initialization of the traditional Harris Hawk algorithm is randomly generated and has great uncertainty. When the number of Harris Hawks is set unreasonably, it is very easy to cause the entire space to be uneven, and the optimization result may fall into the local optimum.

[0118] In order to increase the diversity of the initial stage of Harris Hawk, the concept of good point set is introduced. The implementation steps are as follows:

[0119] 1) Calculate the r value using the following formula:

[0120] r j =mod(2*cos(2*pi*j / p)*m i ,1) Formula (3-20)

[0121] Among them, j = 1, 2, 3, ..., n, n is the dimension of the quantity to be optimized; m i is the i-th individual; p is the relevant parameter, and its value is p=2*n+3.

[0122] 2) r j Mapping to the feasible domain of the quantity to be optimized, the formula is as follows:

[0123] X j i =a j +r j *(b j +a j ) Formula (3-21)

[0124] Among them, a j and b j are the upper and lower limits of the feasible region.

[0125] (2) The prey escape energy E is nonlinearly improved through dynamic adaptive parameters, thereby strengthening the balance between the exploration and exploitation stages of Harris's hawks;

[0126] It should be noted that the improvement of the prey escape energy E:

[0127] The fundamentals of the Harris Hawk algorithm indicate that E is a key parameter for the Harris Hawk's global or local search. E is a linearly decreasing function of t, indicating that the change in prey escape energy, ΔE, is the same for both exploration and exploitation. This trend leads to a poor balance between exploration and exploitation, failing to characterize the actual physical process of a Harris Hawk hunting and escaping prey over multiple rounds. Therefore, a nonlinear improvement to E can be made, introducing a dynamic adaptive parameter to enhance the balance between the exploration and exploitation phases. This expression is as follows:

[0128] E=2E o ω(1-t / T) Formula (3-22)

[0129]

[0130] Where ω is a dynamic adaptive parameter, ω initial is the initial value of the parameter, ω finalis the final value of the parameter, t is the current number of iterations, T is the maximum number of iterations, and δ is a random number between [0, 1].

[0131] (3) Evaluate the advantages and disadvantages of the original solution and the reverse solution through reverse learning to obtain a better solution.

[0132] It should be noted that the idea of random reverse learning introduces:

[0133] The advantages and disadvantages of the original solution and the reverse solution can be evaluated through reverse learning to obtain a better solution. The specific update formula is as follows:

[0134] X worst,t+1 =ub1+rand×(lb1-X worst,t ) Formula (3-24)

[0135] where X worst is the worst Harris Hawk in the current iteration, ub1 and lb1 are the upper and lower bounds of the feasible solution, respectively. The above formula can improve the diversity of the Harris Hawk population and the ability of global search.

[0136] The above is a grounding grid corrosion assessment method provided in an embodiment of the present application, and the following is a grounding grid corrosion assessment system provided in an embodiment of the present application.

[0137] See also Figure 3 , a grounding grid corrosion assessment system provided in an embodiment of the present application includes:

[0138] The construction unit 201 is used to construct a corrosion model of the grounding grid to be evaluated based on the plane design drawing and the designed electrical parameters of the grounding grid to be evaluated, and to indicate the node and branch numbers of the grounding grid to be evaluated, and to set the resistance of each branch;

[0139] The first measuring unit 202 is configured to inject current into the ground down conductor node and use the measured voltage value between the ground down conductors as the node voltage before corrosion;

[0140] The second measuring unit 203 is configured to re-inject current into the grounding down conductor node after changing the resistance value of the branch, and use the measured voltage value between each grounding down conductor as the post-corrosion node voltage;

[0141] The evaluation unit 204 is used to use the corrosion model as the objective function of the improved Harris Eagle algorithm, and substitute the node voltage before corrosion and the node voltage after corrosion into the objective function to solve the corrosion branch number and the corresponding increased resistance multiple, thereby determining the corrosion position and corrosion degree of the grounding grid to be evaluated.

[0142] Furthermore, an embodiment of the present application also provides a grounding grid corrosion assessment device, the device comprising a processor and a memory:

[0143] The memory is used to store program code and transmit the program code to the processor;

[0144] The processor is configured to execute the steps of the grounding grid corrosion assessment method as described in the above method embodiment according to the instructions in the program code.

[0145] Furthermore, a computer-readable storage medium is provided in an embodiment of the present application, and the computer-readable storage medium is used to store program code, and the program code is used to execute the grounding grid corrosion assessment method described in the above method embodiment.

[0146] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described systems and units can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0147] The terms "first", "second", "third", "fourth", etc. (if any) in the specification of the present application and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can, for example, be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0148] It should be understood that in this application, "at least one (item)" means one or more, and "plurality" means two or more. "And / or" is used to describe the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" can mean: only A exists, only B exists, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally indicates that the previous and next associated objects are in an "or" relationship. "At least one of the following items" or similar expressions refers to any combination of these items, including any combination of single items or plural items. For example, at least one of a, b or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, c can be single or multiple.

[0149] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0150] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0151] In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0152] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (English full name: Read-Only Memory, English abbreviation: ROM), random access memory (English full name: Random Access Memory, English abbreviation: RAM), magnetic disk or optical disk and other media that can store program code.

[0153] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A grounding grid corrosion assessment method, characterized in that: include: Based on the plane design drawing and design electrical parameters of the grounding grid to be evaluated, a corrosion model of the grounding grid to be evaluated is constructed, and the node and branch numbers of the grounding grid to be evaluated are indicated, and the resistance of each branch is set; Inject current into the grounding down conductor node, and use the measured voltage value between each grounding down conductor as the node voltage before corrosion; After changing the resistance value of the branch, the current is re-injected into the grounding down conductor node, and the voltage value between each grounding down conductor is measured as the node voltage after corrosion; The corrosion model is used as the objective function of the improved Harris Eagle algorithm, and the node voltage before corrosion and the node voltage after corrosion are substituted into the objective function to obtain the corrosion branch number and the corresponding resistance increase multiple, thereby determining the corrosion location and corrosion degree of the grounding grid to be evaluated; The corrosion model is specifically: in, Where, ΔU m is the node voltage of the grounding down conductor, U' m is the node voltage of the grounding conductor after grounding grid corrosion, U mo is the node voltage of the grounding conductor before the grounding grid is corroded, M' is the sensitivity matrix of the grounding conductor nodes with m rows and b columns, x j is the resistance change of the branch, ΔR j R is the quantity to be optimized, jo is the starting value of the branch resistance.

2. The grounding grid corrosion assessment method according to claim 1, characterized in that: The construction of a corrosion model of the grounding grid to be evaluated based on the plane design drawing and the designed electrical parameters of the grounding grid to be evaluated specifically includes: Establish KCL and KVL equations based on the number of nodes, branches, and grounding conductors in the plan design of the grounding grid to be evaluated, as well as the design electrical parameters; Based on the KCL and KVL equations, a derivation and transformation is performed to obtain a relationship between the node voltage change and the branch resistance change; Based on the relationship between the node voltage change and the branch resistance change, and according to the characteristics of the grounding grid corrosion and the conductor resistance value change, a corrosion model of the grounding grid to be evaluated is established.

3. The grounding grid corrosion assessment method according to claim 1, characterized in that: The improvement process of the improved Harris Hawk algorithm specifically includes: By introducing the concept of good point sets, the diversity of the initial stage of Harris Hawk is increased; The prey escape energy E is nonlinearly improved through dynamic adaptive parameters, thereby strengthening the balance between the exploration and exploitation stages of Harris's hawk. The advantages and disadvantages of the original solution and the reverse solution are evaluated through reverse learning to obtain a better solution.

4. A grounding grid corrosion assessment system, characterized in that: include: A construction unit is used to construct a corrosion model of the grounding grid to be evaluated based on the plane design drawing and the designed electrical parameters of the grounding grid to be evaluated, and to indicate the numbers of the nodes and branches of the grounding grid to be evaluated, and to set the resistance of each branch; The first measuring unit is used to inject current into the grounding down conductor node and use the measured voltage value between each grounding down conductor as the node voltage before corrosion; The second measuring unit is used to re-inject current into the grounding down conductor node after changing the resistance value of the branch, and use the measured voltage value between each grounding down conductor as the node voltage after corrosion; An evaluation unit is configured to use the corrosion model as an objective function of the improved Harris Eagle algorithm, substitute the node voltage before corrosion and the node voltage after corrosion into the objective function, and solve to obtain the corrosion branch number and the corresponding resistance increase multiple, thereby determining the corrosion location and corrosion degree of the grounding grid to be evaluated; The corrosion model is specifically: in, Where, ΔU m is the node voltage of the grounding down conductor, U' m is the node voltage of the grounding conductor after grounding grid corrosion, U mo is the node voltage of the grounding conductor before the grounding grid is corroded, M' is the sensitivity matrix of the grounding conductor nodes with m rows and b columns, x j is the resistance change of the branch, ΔR j R is the quantity to be optimized, jo is the starting value of the branch resistance.

5. The grounding grid corrosion assessment system according to claim 4, characterized in that: The construction of a corrosion model of the grounding grid to be evaluated based on the plane design drawing and the designed electrical parameters of the grounding grid to be evaluated specifically includes: Establish KCL and KVL equations based on the number of nodes, branches, and grounding conductors in the plan design of the grounding grid to be evaluated, as well as the design electrical parameters; Based on the KCL and KVL equations, a derivation and transformation is performed to obtain a relationship between the node voltage change and the branch resistance change; Based on the relationship between the node voltage change and the branch resistance change, and according to the characteristics of the grounding grid corrosion and the conductor resistance value change, a corrosion model of the grounding grid to be evaluated is established.

6. The grounding grid corrosion assessment system according to claim 4, characterized in that: The improvement process of the improved Harris Hawk algorithm specifically includes: By introducing the concept of good point sets, the diversity of the initial stage of Harris Hawk is increased; The prey escape energy E is nonlinearly improved through dynamic adaptive parameters, thereby strengthening the balance between the exploration and exploitation stages of Harris's hawk. The advantages and disadvantages of the original solution and the reverse solution are evaluated through reverse learning to obtain a better solution.

7. A grounding grid corrosion assessment device, characterized in that: The device includes a processor and a memory: The memory is used to store program code and transmit the program code to the processor; The processor is used to execute the grounding grid corrosion assessment method according to any one of claims 1 to 3 according to the instructions in the program code.

8. A computer-readable storage medium, characterized in that The computer-readable storage medium is used to store program code, and the program code is used to execute the grounding grid corrosion assessment method according to any one of claims 1 to 3.

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