GIS equipment fault maintenance management system and method based on multi-area joint control

Abstract

The invention discloses a GIS equipment fault maintenance management system and method based on multi-area joint control, and belongs to the technical field of fault maintenance. Establishing a joint control center information base which comprises a plurality of joint control data clusters so as to record the fault reporting time of a plurality of GIS devices under the same GIS device type; periodically updating the joint control data cluster, and recording the joint control data cluster updated each time to capture fault information of the equipment; with the joint control centers as co-frequency guidance of the regional faults, analyzing the regional fault co-frequency between the joint control centers; generating a regional fault same-frequency set through an iteration mode, so as to collect the same frequency of each regional fault, and forming a sample cluster; and analyzing the contour coefficient of the same frequency of the regional fault, and outputting the same frequency fault maintenance strategy of each joint control center and all GIS equipment remotely controlled by each joint control center while realizing the data reduction of the same frequency set of the regional fault, so as to solve the effective maintenance problem of the cross-regional equipment fault.

Description

Technical Field

[0001] The present invention relates to the technical field of fault repair, and in particular to a GIS equipment fault repair management system and method based on multi-region joint control. Background Art

[0002] GIS equipment, the full name of which is "Gas Insulated Switchgear" (GIS for short), is a highly integrated high-voltage electrical equipment. GIS equipment is widely used in high-voltage, extra-high-voltage and ultra-high-voltage fields and is an indispensable and important equipment in the power system.

[0003] Multi-region joint control is an advanced application of GIS technology in power systems. It can realize centralized monitoring, unified dispatching and coordinated control of multiple regions or equipment (such as substations, transmission lines, distribution networks, etc.) in the power system. This joint control mechanism can transcend geographical boundaries, integrate power resources, equipment and information scattered in different regions, and achieve optimal allocation and efficient utilization of resources.

[0004] GIS equipment or components are all enclosed in a metal grounded casing and filled with SF6 insulating gas at a certain pressure. This makes it difficult to effectively capture equipment fault information during multi-area joint control. In the prior art, fault logs are generally used to record equipment failure behaviors, but it is difficult to effectively repair cross-regional equipment failures. Summary of the invention

[0005] The purpose of the present invention is to provide a GIS equipment fault inspection and maintenance management system and method based on multi-region joint control to solve the problems raised in the above background technology.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0007] GIS equipment fault inspection and maintenance management system based on multi-region joint control, this system includes: fault log module, periodic data processing module, regional fault linkage analysis module, joint control center command module;

[0008] The fault log module is used to collect and establish a joint control center information database when remotely controlling GIS equipment through the joint control center, including several joint control data clusters, and the joint control data clusters record the fault reporting time of several GIS equipment of the same GIS equipment type;

[0009] The periodic data processing module periodically updates the joint control data cluster based on the fault reporting behavior of the GIS equipment, and records each updated joint control data cluster in the form of a matrix carrier;

[0010] The regional fault linkage analysis module performs Boolean matrix processing on the carrier form of the matrix based on the fault reporting behavior of the GIS equipment, and takes the joint control center as the frequency guide of regional faults to analyze the frequency of regional faults between the joint control centers;

[0011] The command module of the joint control center generates a regional fault co-frequency set in an iterative manner. The regional fault co-frequency set is used to collect the co-frequency of faults in each region and form a sample clustering cluster; through the sample clustering cluster, the contour coefficient of the regional fault co-frequency in the regional fault co-frequency set is analyzed, and based on the contour coefficient, the data reduction of the regional fault co-frequency set is achieved. At the same time, the co-frequency fault maintenance strategy of each joint control center and all GIS equipment remotely controlled by each joint control center is output.

[0012] Further, the fault log module includes a joint control center information base unit and a joint control data cluster generation unit;

[0013] The joint control center information base unit is used to establish a joint control center information base, wherein the joint control center information base stores a plurality of joint control data clusters, wherein one joint control center is corresponding to compile one joint control data cluster; the joint control center has the function of remotely controlling the performance of GIS equipment, and one joint control center is corresponding to remotely control one GIS equipment;

[0014] The joint control data cluster generating unit is used to record the joint control data cluster as JC i = {GIS r (i)|r∈[1, R]}, where i represents the code number of the joint control center, GIS r (i) represents the rth GIS device of the i-th GIS device type that is remotely controlled by the i-th joint control center, and R represents the total number of GIS devices of the i-th GIS device type.

[0015] Further, the periodic data processing module includes a periodic update unit and a carrier model unit;

[0016] The periodic updating unit is used to configure the periodic time node and periodically update the joint control data cluster. If the fault reporting time of the GIS device is between the h-1th periodic time node and the hth periodic time node, all GIS devices with fault reporting behaviors between the h-1th periodic time node and the hth periodic time node are counted and updated to the periodic joint control data cluster JC. i (h) medium;

[0017] The carrier model unit is used to establish a fault behavior carrier model, and the fault behavior carrier model is in the form of an R×H matrix, wherein R represents the total number of rows in the matrix, and the total number of rows is equal to the number of GIS devices of the same GIS device type, and H represents the total number of columns in the matrix, and the total number of columns is equal to the total number of periodic time nodes; the order of rows in the matrix is ​​the coding order of GIS devices of the same GIS device type, and the order of columns in the matrix is ​​the coding order of periodic time nodes, then the matrix element in the rth row and the hth column in the matrix is ​​the GIS rh (i), and GIS rh (i) = GIS r (i) GIS rh (i)∈JC i (h)∈JC i ; By periodically updating the joint control data cluster, a fault behavior carrier model of the i-th joint control center is generated, denoted as [i](R×H).

[0018] Further, the regional fault linkage analysis module includes a carrier conversion unit and a regional fault co-frequency processing unit;

[0019] The carrier conversion unit is used in the fault behavior carrier model, if the matrix element GIS rh (i) Corresponding GIS equipment GIS r (i) If there is a fault reporting behavior, let the matrix element GIS rh (i) = 1, if the matrix element GIS rh (i) Corresponding GIS equipment GIS r (i) If there is no fault reporting behavior, let the matrix element GIS rh (i) = 0, the fault behavior carrier model is converted into a Boolean matrix containing only 0 and 1; the Boolean matrix corresponding to the fault behavior carrier model i (R×H) is recorded as BM{[i](R×H)};

[0020] The regional fault co-frequency processing unit is used to select the Boolean matrix BM{[j](R×H)} generated corresponding to the j-th joint control center, take the i-th joint control center as the co-frequency guide of the regional fault, analyze and calculate the regional fault co-frequency between the i-th joint control center and the j-th joint control center, and the formula is: Where FF(i, j) represents the regional fault co-frequency between the i-th joint control center and the j-th joint control center, [i, j](M) represents the regional fault co-frequency matrix, and BM{[j](R×H)} T represents the transposed matrix of the Boolean matrix BM{[j](R×H)}, T represents the transpose operator, and i≠j, bM m represents any mth element value in the regional fault frequency matrix;

[0021] According to the above method, the joint control center is used to control all GIS devices of the same GIS device type, and the fault behavior matrix carriers of different GIS devices of the same GIS device type are generated with the joint control center as the guide; due to the different numbers of GIS devices of different GIS device types, the fault behavior carrier model is in the form of a non-square matrix or a square matrix, but based on the same order of periodic time nodes, the present invention uses the periodic time nodes as the column order of the matrix, so that the non-square matrix or square matrix fault behavior carrier models corresponding to the generated by different joint control centers can perform matrix operations; in particular, when the matrix element GIS rh (i) = 1, indicating GIS equipment GIS r (i) Fault reporting behavior occurs when the matrix element GIS rh (i) = 0, indicating GIS equipment GIS r (i) No fault occurs, and the fault behavior carrier model is converted into a Boolean matrix form. At the same time, during the matrix operation, the same cycle time node is used as the unified dimension. Through transposition, the fault behaviors generated by different GIS devices can be operated under the same cycle time node dimension, thereby visualizing the same frequency of the fault behaviors of different GIS devices.

[0022] Furthermore, the command module of the joint control center includes a same-frequency analysis iteration model unit and a regional fault clustering model unit;

[0023] The same-frequency analysis iterative model unit is used to construct a regional fault same-frequency analysis iterative model, and the iteration includes a first iteration and a second iteration:

[0024] In the first iteration process: let j = j + 1, substitute it into the formula of regional fault frequency, obtain the regional fault frequency between the i-th joint control center and each joint control center except the i-th joint control center, and generate a regional fault frequency set, recorded as FG (i) = {FF (i, j) | j ∈ [1, I], i ≠ j}, I represents the code number of the joint control center;

[0025] In the second iteration, let i=i+1, return to the first iteration, obtain the regional fault frequency between the i+1th joint control center and each joint control center except the i+1th joint control center, and generate the regional fault frequency set FG(i+1);

[0026] The regional fault clustering model unit constructs a regional fault clustering model:

[0027] Collect all regional fault co-frequency sets, and take a regional fault co-frequency set as a sample cluster;

[0028] In the regional fault frequency set FG(i), randomly select a regional fault frequency FF(i, j), analyze and calculate the sample contour coefficient of the regional fault frequency FF(i, j) in the regional fault frequency set FG(i) when the regional fault frequency set FG(i) is used as the sample cluster. The formula is:

[0029] Where, S[FF(i, j)] represents the sample silhouette coefficient, A[FF(i, j)] represents the cohesion of the regional fault frequency FF(i, j), B[FF(i, j)] represents the separation of the regional fault frequency FF(i, j), NUM[FG(i)] represents the total number of regional fault frequencies contained in the regional fault frequency set FG(i), NUM[FG(i+1)] represents the total number of regional fault frequencies contained in the regional fault frequency set FG(i+1), FF(i, j+1) and FF(i+1, j+1) both represent regional fault frequencies;

[0030] A contour coefficient threshold is preset. If the sample contour coefficient S[FF(i, j)] is greater than or equal to the contour coefficient threshold, the regional fault frequency FF(i, j) is retained in the regional fault frequency set FG(i). Otherwise, the regional fault frequency FF(i, j) is removed from the regional fault frequency set FG(i).

[0031] After the retention and elimination operations, the regional fault co-frequency set FG(i) is updated and output. The staff will perform co-frequency fault inspection and repair on the joint control center and all GIS equipment remotely controlled by the joint control center according to the updated regional fault co-frequency set;

[0032] According to the above method, the regional fault frequency reflects the overall frequency importance of the fault behavior of the global GIS equipment under different types of GIS equipment between the two joint control centers. The larger the regional fault frequency, the more important the overall frequency of the fault behavior of the two joint control centers. The cohesion reflects the similarity or closeness of the regional fault frequency in the sample clustering cluster where it is located, and the separation reflects the separation effect or distinction degree or difference degree of the regional fault frequency in other sample clustering clusters. The silhouette coefficient reflects the clustering effect of the regional fault frequency. The larger the silhouette coefficient, the better the clustering effect of the regional fault frequency, which further reflects the local fault frequency between the two joint control centers. For two joint control centers with good clustering effect, more GIS devices with local fault frequency can be generated.

[0033] A GIS equipment fault inspection and maintenance management method based on multi-region joint control includes the following steps:

[0034] Step S100: when the GIS device is remotely controlled through the joint control center, a joint control center information database is collected and established, including a plurality of joint control data clusters, wherein the joint control data clusters record the fault reporting time of a plurality of GIS devices of the same GIS device type;

[0035] Step S200: based on the fault reporting behavior of the GIS equipment, the joint control data cluster is periodically updated, and each updated joint control data cluster is recorded in the form of a matrix carrier;

[0036] Step S300: Based on the fault reporting behavior of the GIS equipment, the carrier form of the matrix is ​​processed in Boolean matrix, and the regional fault co-frequency between the joint control centers is analyzed with the joint control center as the co-frequency guide of the regional faults;

[0037] Step S400: Generate a regional fault co-frequency set in an iterative manner, wherein the regional fault co-frequency set is used to collect the co-frequency of faults in each region and form a sample clustering cluster; analyze the contour coefficient of the regional fault co-frequency in the regional fault co-frequency set through the sample clustering cluster, and based on the contour coefficient, realize data reduction of the regional fault co-frequency set, and output the co-frequency fault maintenance strategy of each joint control center and all GIS equipment remotely controlled by each joint control center.

[0038] Furthermore, the specific implementation process of step S100 includes:

[0039] Step S101: Establishing a joint control center information base, wherein the joint control center information base stores a plurality of joint control data clusters, wherein one joint control center is corresponding to compile one joint control data cluster; the joint control center has the function of remotely controlling the performance of GIS equipment, and one joint control center is corresponding to remotely control one GIS equipment;

[0040] Step S102: Record the joint control data cluster as JC i = {GIS r (i)|r∈[1, R]}, where i represents the code number of the joint control center, GIS r (i) represents the rth GIS device of the i-th GIS device type that is remotely controlled by the i-th joint control center, and R represents the total number of GIS devices of the i-th GIS device type.

[0041] Furthermore, the specific implementation process of step S200 includes:

[0042] Step S201: Configure the periodic time node and periodically update the joint control data cluster. If the fault reporting time of the GIS device is between the h-1th periodic time node and the hth periodic time node, then count all the GIS devices that have fault reporting behaviors from the h-1th periodic time node to the hth periodic time node and update them to the periodic joint control data cluster JC. i (h) medium;

[0043] Step S202: Establish a fault behavior carrier model, the fault behavior carrier model is in the form of an R×H matrix, wherein R represents the total number of rows in the matrix, and the total number of rows is equal to the number of GIS devices of the same GIS device type, H represents the total number of columns in the matrix, and the total number of columns is equal to the total number of periodic time nodes; the order of rows in the matrix is ​​the coding order of GIS devices of the same GIS device type, and the order of columns in the matrix is ​​the coding order of periodic time nodes, then the matrix element in the rth row and the hth column in the matrix is ​​the GIS device type. rh (i), and GIS rh (i) = GIS r (i) GIS rh (i)∈JC i (h)∈JC i ; By periodically updating the joint control data cluster, a fault behavior carrier model of the i-th joint control center is generated, denoted as [i](R×H).

[0044] Furthermore, the specific implementation process of step S300 includes:

[0045] Step S301: In the fault behavior carrier model, if the matrix element GIS rh (i) Corresponding GIS equipment GIS r (i) If there is a fault reporting behavior, let the matrix element GIS rh (i) = 1, if the matrix element GIS rh (i) Corresponding GIS equipment GIS r (i) If there is no fault reporting behavior, let the matrix element GIS rh (i) = 0, the fault behavior carrier model is converted into a Boolean matrix containing only 0 and 1; the Boolean matrix corresponding to the fault behavior carrier model i (R×H) is recorded as BM{[i](R×H)};

[0046] Step S302: Select the Boolean matrix BM{[j](R×H)} generated corresponding to the j-th joint control center, take the i-th joint control center as the co-frequency guide of regional faults, analyze and calculate the regional fault co-frequency between the i-th joint control center and the j-th joint control center, and the formula is: Where FF(i, j) represents the regional fault co-frequency between the i-th joint control center and the j-th joint control center, [i, j](M) represents the regional fault co-frequency matrix, and BM{[j](R×H)} T represents the transposed matrix of the Boolean matrix BM{[j](R×H)}, T represents the transpose operator, and i≠j, bM m Represents the value of any mth element in the regional fault co-frequency matrix.

[0047] Furthermore, the specific implementation process of step S400 includes:

[0048] Step S401: construct an iterative model for regional fault co-frequency analysis, wherein the iteration includes a first iteration and a second iteration:

[0049] In the first iteration process: let j = j + 1, substitute it into the formula of regional fault frequency, obtain the regional fault frequency between the i-th joint control center and each joint control center except the i-th joint control center, and generate a regional fault frequency set, recorded as FG (i) = {FF (i, j) | j ∈ [1, I], i ≠ j}, I represents the code number of the joint control center;

[0050] In the second iteration, let i=i+1, return to the first iteration, obtain the regional fault frequency between the i+1th joint control center and each joint control center except the i+1th joint control center, and generate the regional fault frequency set FG(i+1);

[0051] Step S402: constructing a regional fault clustering model:

[0052] Collect all regional fault co-frequency sets, and take a regional fault co-frequency set as a sample cluster;

[0053] In the regional fault frequency set FG(i), randomly select a regional fault frequency FF(i, j), analyze and calculate the sample contour coefficient of the regional fault frequency FF(i, j) in the regional fault frequency set FG(i) when the regional fault frequency set FG(i) is used as the sample cluster. The formula is:

[0054] Where, S[FF(i, j)] represents the sample silhouette coefficient, A[FF(i, j)] represents the cohesion of the regional fault frequency FF(i, j), B[FF(i, j)] represents the separation of the regional fault frequency FF(i, j), NUM[FG(i)] represents the total number of regional fault frequencies contained in the regional fault frequency set FG(i), NUM[FG(i+1)] represents the total number of regional fault frequencies contained in the regional fault frequency set FG(i+1), FF(i, j+1) and FF(i+1, j+1) both represent regional fault frequencies;

[0055] A contour coefficient threshold is preset. If the sample contour coefficient S[FF(i, j)] is greater than or equal to the contour coefficient threshold, the regional fault frequency FF(i, j) is retained in the regional fault frequency set FG(i). Otherwise, the regional fault frequency FF(i, j) is removed from the regional fault frequency set FG(i).

[0056] After the retention and elimination operations, the regional fault co-frequency set FG(i) is updated and output. The staff performs co-frequency fault inspection and maintenance on the joint control center and all GIS equipment remotely controlled by the joint control center according to the updated regional fault co-frequency set.

[0057] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: in the GIS equipment fault inspection and maintenance management system and method based on multi-region joint control provided by the present invention, a joint control center information library is established, including several joint control data clusters, to record the fault reporting time of several GIS devices under the same GIS device type; the joint control data clusters are periodically updated, and each updated joint control data cluster is recorded to capture the fault information of the equipment; with the joint control center as the frequency orientation of regional faults, the regional fault frequency between the joint control centers is analyzed; in an iterative manner, a regional fault frequency set is generated to collect the frequency of faults in each region to form a sample clustering cluster; the contour coefficient of the regional fault frequency is analyzed to achieve data reduction of the regional fault frequency set, and at the same time, the frequency fault inspection and maintenance strategy of each joint control center and all GIS devices remotely controlled by each joint control center is output to solve the problem of effective inspection and maintenance of cross-regional equipment faults. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0059] Figure 1 It is a structural schematic diagram of a GIS equipment fault inspection and maintenance management system based on multi-region joint control of the present invention;

[0060] Figure 2 It is a schematic diagram of the steps of the GIS equipment fault inspection and maintenance management method based on multi-area joint control of the present invention. DETAILED DESCRIPTION

[0061] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0062] See also Figure 1 , in the first embodiment: a GIS equipment fault inspection and maintenance management system based on multi-region joint control is provided, the system includes: a fault log module, a periodic data processing module, a regional fault linkage analysis module, and a joint control center command module;

[0063] The fault log module is used to collect and establish a joint control center information database when remotely controlling GIS equipment through the joint control center, including several joint control data clusters, which record the fault reporting time of several GIS equipment of the same GIS equipment type;

[0064] Preferably, the fault log module includes a joint control center information base unit and a joint control data cluster generation unit;

[0065] The joint control center information base unit is used to establish a joint control center information base, in which a number of joint control data clusters are stored, wherein one joint control center is corresponding to compile one joint control data cluster; the joint control center has the function of remotely controlling the performance of GIS equipment, and one joint control center is corresponding to remotely control one GIS equipment;

[0066] The joint control data cluster generation unit is used to record the joint control data cluster as JC i = {GIS r (i)|r∈[1, R]}, where i represents the code number of the joint control center, GIS r (i) represents the rth GIS device of the i-th GIS device type that is remotely controlled by the i-th joint control center, and R represents the total number of GIS devices of the i-th GIS device type;

[0067] The periodic data processing module periodically updates the joint control data cluster based on the fault reporting behavior of the GIS equipment, and records each updated joint control data cluster in the form of a matrix carrier;

[0068] Preferably, the periodic data processing module includes a periodic update unit and a carrier model unit;

[0069] The periodic update unit is used to configure the periodic time node and periodically update the joint control data cluster. If the fault reporting time of the GIS device is between the h-1th periodic time node and the hth periodic time node, all GIS devices with fault reporting behaviors between the h-1th periodic time node and the hth periodic time node are counted and updated to the periodic joint control data cluster JC. i (h) medium;

[0070] The carrier model unit is used to establish a fault behavior carrier model. The fault behavior carrier model is in the form of an R×H matrix, where R represents the total number of rows in the matrix, and the total number of rows is equal to the number of GIS devices of the same GIS device type; H represents the total number of columns in the matrix, and the total number of columns is equal to the total number of periodic time nodes; the order of rows in the matrix is ​​the coding order of GIS devices of the same GIS device type, and the order of columns in the matrix is ​​the coding order of periodic time nodes, then the matrix element in the rth row and the hth column in the matrix is ​​the GIS rh (i), and GIS rh (i) = GIS r (i) GIS rh (i)∈JC i (h)∈JC i ; By periodically updating the joint control data cluster, the fault behavior carrier model of the i-th joint control center is generated, denoted as [i](R×H);

[0071] The regional fault linkage analysis module performs Boolean matrix processing on the matrix carrier form based on the fault reporting behavior of GIS equipment, and takes the joint control center as the frequency guide for regional faults to analyze the frequency of regional faults between joint control centers.

[0072] Preferably, the regional fault linkage analysis module includes a carrier conversion unit and a regional fault co-frequency processing unit;

[0073] The carrier conversion unit is used in the fault behavior carrier model. If the matrix element GIS rh (i) Corresponding GIS equipment GIS r (i) If there is a fault reporting behavior, let the matrix element GIS rh (i) = 1, if the matrix element GIS rh (i) Corresponding GIS equipment GIS r (i) If there is no fault reporting behavior, let the matrix element GIS rh (i) = 0, the fault behavior carrier model is converted into a Boolean matrix containing only 0 and 1; the Boolean matrix corresponding to the fault behavior carrier model i (R×H) is recorded as BM{[i](R×H)};

[0074] The regional fault co-frequency processing unit is used to select the Boolean matrix BM{[j](R×H)} generated by the j-th joint control center, take the i-th joint control center as the co-frequency guide of the regional fault, analyze and calculate the regional fault co-frequency between the i-th joint control center and the j-th joint control center. The formula is: Where FF(i, j) represents the regional fault co-frequency between the i-th joint control center and the j-th joint control center, [i, j](M) represents the regional fault co-frequency matrix, and BM{[j](R×H)} Trepresents the transposed matrix of the Boolean matrix BM{[j](R×H)}, T represents the transpose operator, and i≠j, bM m represents any mth element value in the regional fault frequency matrix;

[0075] The command module of the joint control center generates regional fault frequency sets through iteration. The regional fault frequency sets are used to collect the fault frequency of each region and form sample clusters. Through the sample clusters, the contour coefficient of the regional fault frequency in the regional fault frequency set is analyzed, and based on the contour coefficient, the data reduction of the regional fault frequency set is achieved. At the same time, the frequency fault maintenance strategy of each joint control center and all GIS equipment remotely controlled by each joint control center is output.

[0076] Preferably, the command module of the joint control center includes a same-frequency analysis iteration model unit and a regional fault clustering model unit;

[0077] The same-frequency analysis iterative model unit is used to build a regional fault same-frequency analysis iterative model. The iteration includes the first iteration and the second iteration:

[0078] In the first iteration process: let j = j + 1, substitute it into the formula of regional fault frequency, obtain the regional fault frequency between the i-th joint control center and each joint control center except the i-th joint control center, and generate a regional fault frequency set, recorded as FG (i) = {FF (i, j) | j ∈ [1, I], i ≠ j}, I represents the code number of the joint control center;

[0079] In the second iteration, let i=i+1, return to the first iteration, obtain the regional fault frequency between the i+1th joint control center and each joint control center except the i+1th joint control center, and generate the regional fault frequency set FG(i+1);

[0080] Regional fault clustering model unit, builds a regional fault clustering model:

[0081] Collect all regional fault co-frequency sets, and take a regional fault co-frequency set as a sample cluster;

[0082] In the regional fault frequency set FG(i), randomly select a regional fault frequency FF(i, j), analyze and calculate the sample contour coefficient of the regional fault frequency FF(i, j) in the regional fault frequency set FG(i) when the regional fault frequency set FG(i) is used as the sample cluster. The formula is:

[0083] Where, S[FF(i, j)] represents the sample silhouette coefficient, A[FF(i, j)] represents the cohesion of the regional fault frequency FF(i, j), B[FF(i, j)] represents the separation of the regional fault frequency FF(i, j), NUM[FG(i)] represents the total number of regional fault frequencies contained in the regional fault frequency set FG(i), NUM[FG(i+1)] represents the total number of regional fault frequencies contained in the regional fault frequency set FG(i+1), FF(i, j+1) and FF(i+1, j+1) both represent regional fault frequencies;

[0084] A contour coefficient threshold is preset. If the sample contour coefficient S[FF(i, j)] is greater than or equal to the contour coefficient threshold, the regional fault frequency FF(i, j) is retained in the regional fault frequency set FG(i). Otherwise, the regional fault frequency FF(i, j) is removed from the regional fault frequency set FG(i).

[0085] After the retention and elimination operations, the regional fault co-frequency set FG(i) is updated and output. The staff performs co-frequency fault inspection and maintenance on the joint control center and all GIS equipment remotely controlled by the joint control center according to the updated regional fault co-frequency set.

[0086] See also Figure 2 In the second embodiment, a GIS equipment fault inspection and maintenance management method based on multi-region joint control is provided, and the method includes the following steps:

[0087] Step S100: when the GIS device is remotely controlled through the joint control center, a joint control center information database is collected and established, including a plurality of joint control data clusters, in which the fault reporting time of a plurality of GIS devices of the same GIS device type is recorded;

[0088] Exemplarily, a joint control center information base is established, and a plurality of joint control data clusters are stored in the joint control center information base, wherein one joint control center is corresponding to compile one joint control data cluster; the joint control center has the function of remotely controlling the performance of GIS equipment, and one joint control center is corresponding to remotely control one GIS equipment;

[0089] The joint control data cluster is denoted as JC i = {GIS r (i)|r∈[1, R]}, where i represents the code number of the joint control center, GIS r (i) represents the rth GIS device of the i-th GIS device type that is remotely controlled by the i-th joint control center, and R represents the total number of GIS devices of the i-th GIS device type;

[0090] Step S200: based on the fault reporting behavior of the GIS equipment, periodically update the joint control data cluster, and record each updated joint control data cluster in the form of a matrix carrier;

[0091] For example, a periodic time node is configured to periodically update the joint control data cluster. If the fault reporting time of the GIS device is between the h-1th periodic time node and the hth periodic time node, all GIS devices with fault reporting behaviors between the h-1th periodic time node and the hth periodic time node are counted and updated to the periodic joint control data cluster JC. i (h) medium;

[0092] A fault behavior carrier model is established. The fault behavior carrier model is in the form of an R×H matrix, where R represents the total number of rows in the matrix, and the total number of rows is equal to the number of GIS devices of the same GIS device type; H represents the total number of columns in the matrix, and the total number of columns is equal to the total number of periodic time nodes; the order of rows in the matrix is ​​the coding order of GIS devices of the same GIS device type, and the order of columns in the matrix is ​​the coding order of periodic time nodes. Then the matrix element in the rth row and the hth column in the matrix is ​​the GIS rh (i), and GIS rh (i) = GIS r (i) GIS rh (i)∈JC i (h)∈JC i ; By periodically updating the joint control data cluster, the fault behavior carrier model of the i-th joint control center is generated, denoted as [i](R×H);

[0093] Step S300: Based on the fault reporting behavior of the GIS equipment, the carrier form of the matrix is ​​processed by Boolean matrix, and the regional fault co-frequency between the joint control centers is analyzed with the joint control center as the co-frequency guide of the regional faults;

[0094] For example, in the fault behavior carrier model, if the matrix element GIS rh (i) Corresponding GIS equipment GIS r (i) If there is a fault reporting behavior, let the matrix element GIS rh (i) = 1, if the matrix element GIS rh (i) Corresponding GIS equipment GIS r (i) If there is no fault reporting behavior, let the matrix element GIS rh (i) = 0, the fault behavior carrier model is converted into a Boolean matrix containing only 0 and 1; the Boolean matrix corresponding to the fault behavior carrier model i (R×H) is recorded as BM{[i](R×H)};

[0095] Select the Boolean matrix BM{[j](R×H)} generated by the j-th joint control center, take the i-th joint control center as the co-frequency guide of regional faults, analyze and calculate the regional fault co-frequency between the i-th joint control center and the j-th joint control center, and the formula is: Where FF(i, j) represents the regional fault co-frequency between the i-th joint control center and the j-th joint control center, [i, j](M) represents the regional fault co-frequency matrix, and BM{[j](R×H)} T represents the transposed matrix of the Boolean matrix BM{[j](R×H)}, T represents the transpose operator, and i≠j, bM m represents any mth element value in the regional fault frequency matrix;

[0096] For example, but Then FF(i,j)=7;

[0097] Step S400: Generate a regional fault co-frequency set in an iterative manner, the regional fault co-frequency set is used to collect the co-frequency of faults in each region and form a sample cluster; analyze the contour coefficient of the regional fault co-frequency in the regional fault co-frequency set through the sample cluster, and based on the contour coefficient, realize data reduction of the regional fault co-frequency set, and output the co-frequency fault maintenance strategy of each joint control center and all GIS equipment remotely controlled by each joint control center;

[0098] Exemplarily, an iterative model for regional fault co-frequency analysis is constructed, and the iteration includes a first iteration and a second iteration:

[0099] In the first iteration process: let j = j + 1, substitute it into the formula of regional fault frequency, obtain the regional fault frequency between the i-th joint control center and each joint control center except the i-th joint control center, and generate a regional fault frequency set, recorded as FG (i) = {FF (i, j) | j ∈ [1, I], i ≠ j}, I represents the code number of the joint control center;

[0100] In the second iteration, let i=i+1, return to the first iteration, obtain the regional fault frequency between the i+1th joint control center and each joint control center except the i+1th joint control center, and generate the regional fault frequency set FG(i+1);

[0101] Build a regional fault clustering model:

[0102] Collect all regional fault co-frequency sets, and take a regional fault co-frequency set as a sample cluster;

[0103] In the regional fault frequency set FG(i), randomly select a regional fault frequency FF(i, j), analyze and calculate the sample contour coefficient of the regional fault frequency FF(i, j) in the regional fault frequency set FG(i) when the regional fault frequency set FG(i) is used as the sample cluster. The formula is:

[0104] Where, S[FF(i, j)] represents the sample silhouette coefficient, A[FF(i, j)] represents the cohesion of the regional fault frequency FF(i, j), B[FF(i, j)] represents the separation of the regional fault frequency FF(i, j), NUM[FG(i)] represents the total number of regional fault frequencies contained in the regional fault frequency set FG(i), NUM[FG(i+1)] represents the total number of regional fault frequencies contained in the regional fault frequency set FG(i+1), FF(i, j+1) and FF(i+1, j+1) both represent regional fault frequencies;

[0105] A contour coefficient threshold is preset. If the sample contour coefficient S[FF(i, j)] is greater than or equal to the contour coefficient threshold, the regional fault frequency FF(i, j) is retained in the regional fault frequency set FG(i). Otherwise, the regional fault frequency FF(i, j) is removed from the regional fault frequency set FG(i).

[0106] After the retention and elimination operations, the regional fault co-frequency set FG(i) is updated and output. The staff performs co-frequency fault inspection and maintenance on the joint control center and all GIS equipment remotely controlled by the joint control center according to the updated regional fault co-frequency set.

[0107] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0108] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A GIS equipment fault inspection and maintenance management method based on multi-region joint control, characterized in that: The method comprises the following steps: Step S100: when the GIS device is remotely controlled through the joint control center, a joint control center information database is collected and established, including a plurality of joint control data clusters, wherein the joint control data clusters record the fault reporting time of a plurality of GIS devices of the same GIS device type; Step S200: based on the fault reporting behavior of the GIS equipment, the joint control data cluster is periodically updated, and each updated joint control data cluster is recorded in the form of a matrix carrier; Step S300: Based on the fault reporting behavior of the GIS equipment, the carrier form of the matrix is ​​processed in Boolean matrix, and the regional fault co-frequency between the joint control centers is analyzed with the joint control center as the co-frequency guide of the regional faults; Step S400: Generate a regional fault co-frequency set in an iterative manner, wherein the regional fault co-frequency set is used to collect the co-frequency of faults in each region and form a sample clustering cluster; analyze the contour coefficient of the regional fault co-frequency in the regional fault co-frequency set through the sample clustering cluster, and based on the contour coefficient, realize data reduction of the regional fault co-frequency set, and output the co-frequency fault maintenance strategy of each joint control center and all GIS equipment remotely controlled by each joint control center.

2. The GIS equipment fault inspection and maintenance management method based on multi-region joint control according to claim 1 is characterized in that: The specific implementation process of step S100 includes: Step S101: Establishing a joint control center information base, wherein the joint control center information base stores a plurality of joint control data clusters, wherein one joint control center is corresponding to compile one joint control data cluster; the joint control center has the function of remotely controlling the performance of GIS equipment, and one joint control center is corresponding to remotely control one GIS equipment; Step S102: Record the joint control data cluster as JC i = {GIS r (i)|r∈[1, R]}, where i represents the code number of the joint control center, GIS r (i) represents the rth GIS device of the i-th GIS device type that is remotely controlled by the i-th joint control center, and R represents the total number of GIS devices of the i-th GIS device type.

3. The GIS equipment fault inspection and maintenance management method based on multi-region joint control according to claim 2 is characterized in that: The specific implementation process of step S200 includes: Step S201: Configure the periodic time node and periodically update the joint control data cluster. If the fault reporting time of the GIS device is between the h-1th periodic time node and the hth periodic time node, then count all the GIS devices that have fault reporting behaviors from the h-1th periodic time node to the hth periodic time node and update them to the periodic joint control data cluster JC. i (h) medium; Step S202: Establish a fault behavior carrier model, the fault behavior carrier model is in the form of an R×H matrix, wherein R represents the total number of rows in the matrix, and the total number of rows is equal to the number of GIS devices of the same GIS device type, H represents the total number of columns in the matrix, and the total number of columns is equal to the total number of periodic time nodes; the order of rows in the matrix is ​​the coding order of GIS devices of the same GIS device type, and the order of columns in the matrix is ​​the coding order of periodic time nodes, then the matrix element in the rth row and the hth column in the matrix is ​​the GIS device type. rh (i), and GIS rh (i) = GIS r (i) GIS rh (i)∈JC i (h)∈JC i ; By periodically updating the joint control data cluster, a fault behavior carrier model of the i-th joint control center is generated, denoted as [i](R×H).

4. The GIS equipment fault inspection and maintenance management method based on multi-region joint control according to claim 3 is characterized in that: The specific implementation process of step S300 includes: Step S301: In the fault behavior carrier model, if the matrix element GIS rh (i) Corresponding GIS equipment GIS r (i) If there is a fault reporting behavior, let the matrix element GIS rh (i) = 1, if the matrix element GIS rh (i) Corresponding GIS equipment GIS r (i) If there is no fault reporting behavior, let the matrix element GIS rh (i) = 0, the fault behavior carrier model is converted into a Boolean matrix containing only 0 and 1; the Boolean matrix corresponding to the fault behavior carrier model i (R×H) is recorded as BM{[i](R×H)}; Step S302: Select the Boolean matrix BM{[j](R×H)} generated corresponding to the j-th joint control center, take the i-th joint control center as the co-frequency guide of regional faults, analyze and calculate the regional fault co-frequency between the i-th joint control center and the j-th joint control center, and the formula is: Where FF(i, j) represents the regional fault co-frequency between the i-th joint control center and the j-th joint control center, [i, j](M) represents the regional fault co-frequency matrix, and BM{[j](R×H)} T represents the transposed matrix of the Boolean matrix BM{[j](R×H)}, T represents the transpose operator, and i≠j, bM m Represents the value of any mth element in the regional fault co-frequency matrix.

5. The GIS equipment fault inspection and maintenance management method based on multi-region joint control according to claim 4 is characterized in that: The specific implementation process of step S400 includes: Step S401: construct an iterative model for regional fault co-frequency analysis, wherein the iteration includes a first iteration and a second iteration: In the first iteration process: let j = j + 1, substitute it into the formula of regional fault frequency, obtain the regional fault frequency between the i-th joint control center and each joint control center except the i-th joint control center, and generate a regional fault frequency set, recorded as FG (i) = {FF (i, j) | j ∈ [1, I], i ≠ j}, I represents the code number of the joint control center; In the second iteration, let i=i+1, return to the first iteration, obtain the regional fault frequency between the i+1th joint control center and each joint control center except the i+1th joint control center, and generate the regional fault frequency set FG(i+1); Step S402: constructing a regional fault clustering model: Collect all regional fault co-frequency sets, and take a regional fault co-frequency set as a sample cluster; In the regional fault frequency set FG(i), randomly select a regional fault frequency FF(i, j), analyze and calculate the sample contour coefficient of the regional fault frequency FF(i, j) in the regional fault frequency set FG(i) when the regional fault frequency set FG(i) is used as the sample cluster. The formula is: Where, S[FF(i, j)] represents the sample silhouette coefficient, A[FF(i, j)] represents the cohesion of the regional fault frequency FF(i, j), B[FF(i, j)] represents the separation of the regional fault frequency FF(i, j), NUM[FG(i)] represents the total number of regional fault frequencies contained in the regional fault frequency set FG(i), NUM[FG(i+1)] represents the total number of regional fault frequencies contained in the regional fault frequency set FG(i+1), FF(i, j+1) and FF(i+1, j+1) both represent regional fault frequencies; A contour coefficient threshold is preset. If the sample contour coefficient S[FF(i, j)] is greater than or equal to the contour coefficient threshold, the regional fault frequency FF(i, j) is retained in the regional fault frequency set FG(i). Otherwise, the regional fault frequency FF(i, j) is removed from the regional fault frequency set FG(i). After the retention and elimination operations, the regional fault co-frequency set FG(i) is updated and output. The staff performs co-frequency fault inspection and maintenance on the joint control center and all GIS equipment remotely controlled by the joint control center according to the updated regional fault co-frequency set.

6. GIS equipment fault inspection and maintenance management system based on multi-region joint control, characterized by: The system includes: a fault log module, a periodic data processing module, a regional fault linkage analysis module, and a joint control center command module; The fault log module is used to collect and establish a joint control center information database when remotely controlling GIS equipment through the joint control center, including several joint control data clusters, and the joint control data clusters record the fault reporting time of several GIS equipment of the same GIS equipment type; The periodic data processing module periodically updates the joint control data cluster based on the fault reporting behavior of the GIS equipment, and records each updated joint control data cluster in the form of a matrix carrier; The regional fault linkage analysis module performs Boolean matrix processing on the carrier form of the matrix based on the fault reporting behavior of the GIS equipment, and takes the joint control center as the frequency guide of regional faults to analyze the frequency of regional faults between the joint control centers; The command module of the joint control center generates a regional fault co-frequency set in an iterative manner. The regional fault co-frequency set is used to collect the co-frequency of faults in each region and form a sample clustering cluster; through the sample clustering cluster, the contour coefficient of the regional fault co-frequency in the regional fault co-frequency set is analyzed, and based on the contour coefficient, the data reduction of the regional fault co-frequency set is achieved. At the same time, the co-frequency fault maintenance strategy of each joint control center and all GIS equipment remotely controlled by each joint control center is output.

7. The GIS equipment fault inspection and maintenance management system based on multi-region joint control according to claim 6 is characterized in that: The fault log module includes a joint control center information base unit and a joint control data cluster generation unit; The joint control center information base unit is used to establish a joint control center information base, wherein the joint control center information base stores a plurality of joint control data clusters, wherein one joint control center is corresponding to compile one joint control data cluster; the joint control center has the function of remotely controlling the performance of GIS equipment, and one joint control center is corresponding to remotely control one GIS equipment; The joint control data cluster generating unit is used to record the joint control data cluster as JC i = {GIS r (i)|r∈[1, R]}, where i represents the code number of the joint control center, GIS r (i) represents the rth GIS device of the i-th GIS device type that is remotely controlled by the i-th joint control center, and R represents the total number of GIS devices of the i-th GIS device type.

8. The GIS equipment fault inspection and maintenance management system based on multi-region joint control according to claim 7 is characterized in that: The periodic data processing module includes a periodic update unit and a carrier model unit; The periodic updating unit is used to configure the periodic time node and periodically update the joint control data cluster. If the fault reporting time of the GIS device is between the h-1th periodic time node and the hth periodic time node, all GIS devices with fault reporting behaviors between the h-1th periodic time node and the hth periodic time node are counted and updated to the periodic joint control data cluster JC. i (h) medium; The carrier model unit is used to establish a fault behavior carrier model, and the fault behavior carrier model is in the form of an R×H matrix, wherein R represents the total number of rows in the matrix, and the total number of rows is equal to the number of GIS devices of the same GIS device type, and H represents the total number of columns in the matrix, and the total number of columns is equal to the total number of periodic time nodes; the order of rows in the matrix is ​​the coding order of GIS devices of the same GIS device type, and the order of columns in the matrix is ​​the coding order of periodic time nodes, then the matrix element in the rth row and the hth column in the matrix is ​​the GIS rh (i), and GIS rh (i) = GIS r (i) GIS rh (i)∈JC i (h)∈JC i ; By periodically updating the joint control data cluster, a fault behavior carrier model of the i-th joint control center is generated, denoted as [i](R×H).

9. The GIS equipment fault inspection and maintenance management system based on multi-region joint control according to claim 8 is characterized in that: The regional fault linkage analysis module includes a carrier conversion unit and a regional fault co-frequency processing unit; The carrier conversion unit is used in the fault behavior carrier model, if the matrix element GIS rh (i) Corresponding GIS equipment GIS r (i) If there is a fault reporting behavior, let the matrix element GIS rh (i) = 1, if the matrix element GIS rh (i) Corresponding GIS equipment GIS r (i) If there is no fault reporting behavior, let the matrix element GIS rh (i) = 0, the fault behavior carrier model is converted into a Boolean matrix containing only 0 and 1; the Boolean matrix corresponding to the fault behavior carrier model i (R×H) is recorded as BM{[i](R×H)}; The regional fault co-frequency processing unit is used to select the Boolean matrix BM{[j](R×H)} generated corresponding to the j-th joint control center, take the i-th joint control center as the co-frequency guide of the regional fault, analyze and calculate the regional fault co-frequency between the i-th joint control center and the j-th joint control center, and the formula is: Where FF(i, j) represents the regional fault co-frequency between the i-th joint control center and the j-th joint control center, [i, j](M) represents the regional fault co-frequency matrix, and BM{[j](R×H)} T represents the transposed matrix of the Boolean matrix BM{[j](R×H)}, T represents the transpose operator, and i≠j, bM m Represents the value of any mth element in the regional fault co-frequency matrix.

10. The GIS equipment fault inspection and maintenance management system based on multi-region joint control according to claim 9 is characterized in that: The joint control center command module includes a same-frequency analysis iteration model unit and a regional fault clustering model unit; The same-frequency analysis iterative model unit is used to construct a regional fault same-frequency analysis iterative model, and the iteration includes a first iteration and a second iteration: In the first iteration process: let j = j + 1, substitute it into the formula of regional fault frequency, obtain the regional fault frequency between the i-th joint control center and each joint control center except the i-th joint control center, and generate a regional fault frequency set, recorded as FG (i) = {FF (i, j) | j ∈ [1, I], i ≠ j}, I represents the code number of the joint control center; In the second iteration, let i=i+1, return to the first iteration, obtain the regional fault frequency between the i+1th joint control center and each joint control center except the i+1th joint control center, and generate the regional fault frequency set FG(i+1); The regional fault clustering model unit constructs a regional fault clustering model: Collect all regional fault co-frequency sets, and take a regional fault co-frequency set as a sample cluster; In the regional fault frequency set FG(i), randomly select a regional fault frequency FF(i, j), analyze and calculate the sample contour coefficient of the regional fault frequency FF(i, j) in the regional fault frequency set FG(i) when the regional fault frequency set FG(i) is used as the sample cluster. The formula is: Where, S[FF(i, j)] represents the sample silhouette coefficient, A[FF(i, j)] represents the cohesion of the regional fault frequency FF(i, j), B[FF(i, j)] represents the separation of the regional fault frequency FF(i, j), NUM[FG(i)] represents the total number of regional fault frequencies contained in the regional fault frequency set FG(i), NUM[FG(i+1)] represents the total number of regional fault frequencies contained in the regional fault frequency set FG(i+1), FF(i, j+1) and FF(i+1, j+1) both represent regional fault frequencies; A contour coefficient threshold is preset. If the sample contour coefficient S[FF(i, j)] is greater than or equal to the contour coefficient threshold, the regional fault frequency FF(i, j) is retained in the regional fault frequency set FG(i). Otherwise, the regional fault frequency FF(i, j) is removed from the regional fault frequency set FG(i). After the retention and elimination operations, the regional fault co-frequency set FG(i) is updated and output. The staff performs co-frequency fault inspection and maintenance on the joint control center and all GIS equipment remotely controlled by the joint control center according to the updated regional fault co-frequency set.

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