GIS Equipment Fault Repair Management System and Method Based on Multi-Region Joint Control

Abstract

The present invention discloses a GIS device fault repair management system and method based on multi-region joint control, belonging to the technical field of fault repair. A joint control center information library is established, including several joint control data clusters, to record the fault reporting times of several GIS devices under the same type of GIS device; the joint control data clusters are updated periodically, and each updated joint control data cluster is recorded to capture the fault information of the devices; taking the joint control center as the same-frequency guidance for regional faults, the regional fault same-frequency degree between joint control centers is analyzed; through an iterative method, a regional fault same-frequency set is generated to collect the regional fault same-frequency degrees of each region and form a sample clustering cluster; the silhouette coefficient of the regional fault same-frequency degree is analyzed to realize data reduction of the regional fault same-frequency set, and at the same time, the same-frequency fault repair strategies of all GIS devices remotely controlled by each joint control center and each joint control center are output to solve the problem of effective repair of cross-regional device faults.

Description

Technical Field

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

[0002] GIS equipment, with the full name of "Gas Insulated Switchgear" (abbreviated as GIS), 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 important and indispensable equipment in the power system;

[0003] Multi-region joint control is an advanced application of GIS technology in the power system, which can achieve 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 cross geographical boundaries, integrate power resources, equipment and information scattered in different regions, and realize the optimal allocation and efficient utilization of resources;

[0004] All GIS equipment or components are enclosed in a metal-grounded shell and filled with SF6 insulating gas at a certain pressure inside, making it difficult to effectively capture the fault information of the equipment during the multi-region joint control process. In the prior art, the fault behavior of the equipment is generally recorded through fault logs, but it is difficult to solve the effective maintenance of cross-regional equipment faults. Summary of the Invention

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

[0006] To solve the above technical problems, the present invention provides the following technical solutions:

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

[0008] The fault log module is used to collect and establish a joint control center information library when remotely controlling GIS equipment through the joint control center, including several joint control data clusters, and the fault reporting times of several GIS equipment under the same type of GIS equipment are recorded in the joint control data clusters;

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

[0010] The above-mentioned regional fault linkage analysis module performs Boolean matrix processing on the carrier form of the matrix based on the fault reporting behavior of GIS devices, and takes the joint control center as the co-frequency guidance for regional faults to analyze the co-frequency degree of regional faults between joint control centers;

[0011] The above-mentioned joint control center command module generates a co-frequency set of regional faults in an iterative manner. The co-frequency set of regional faults is used to collect the co-frequency degrees of various regional faults and form a sample clustering cluster; through the sample clustering cluster, analyze the silhouette coefficient of the co-frequency degree of regional faults in the co-frequency set of regional faults, and based on the silhouette coefficient, while realizing data reduction of the co-frequency set of regional faults, output the co-frequency fault repair strategies of all GIS devices remotely controlled by each joint control center and each joint control center.

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

[0013] The joint control center information database unit is used to establish a joint control center information database, and several joint control data clusters are stored in the joint control center information database. Among them, one joint control center corresponds to the preparation of one joint control data cluster; the joint control center has the function of remotely controlling the performance of GIS devices, and one joint control center corresponds to remotely controlling one type of GIS device;

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

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

[0016] The periodic update unit is used to configure periodic time nodes and update the joint control data cluster periodically. If the fault reporting time of the GIS device is within the (h - 1)-th periodic time node to the h-th periodic time node, then count all the GIS devices that have had fault reporting behaviors from the (h - 1)-th periodic time node to the h-th periodic time node, and update them to the periodic joint control data cluster JC i (h);

[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 a matrix of R×H, where R represents the total number of rows of the matrix, and the total number of rows is equal to the number of GIS devices under the same type of GIS device, H represents the total number of columns of the matrix, and the total number of columns is equal to the total number of periodic time nodes; the sorting of rows in the matrix is the coding order of GIS devices under the same type of GIS device, and the sorting of columns in the matrix is the coding order of periodic time nodes, then the matrix element in the r-th row and h-th column of the matrix is 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] Furthermore, 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 to, in the fault behavior carrier model, if the GIS device GIS rh (i) corresponding to the matrix element GIS r (i) has a fault reporting behavior, then make the matrix element GIS rh (i) = 1, if the GIS device GIS rh (i) corresponding to the matrix element GIS r (i) does not have a fault reporting behavior, then make the matrix element GIS rh (i) = 0, then the fault behavior carrier model is converted into a Boolean matrix containing only 0 and 1; the Boolean matrix corresponding to the conversion of the fault behavior carrier model i(R×H) is denoted 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, and taking the i-th joint control center as the co-frequency orientation of regional faults, analyze and calculate the regional fault co-frequency degree between the i-th joint control center and the j-th joint control center, and the formula is: In the formula, FF(i, j) represents the regional fault co-frequency degree between the i-th joint control center and the j-th joint control center, [i, j](M) represents the regional fault co-frequency matrix, BM{[j](R×H)} T represents the transpose matrix of the Boolean matrix BM{[j](R×H)}, T represents the transpose operator, and i ≠ j, bM m represents any m-th element value in the regional fault co-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. Guided by the joint control center, a fault behavior matrix carrier of different GIS devices under the same GIS device type is generated. Since the number of GIS devices under different GIS device types is different, the fault behavior carrier model is in the form of a non-square or square matrix. However, based on the same order of periodic time nodes, the present invention takes the periodic time nodes as the column order of the matrix, so that the non-square or square fault behavior carrier models generated by different joint control centers can perform matrix operations. In particular, when the matrix element GIS rh (i) = 1, it means that the GIS device GIS r (i) has generated a fault reporting behavior. When the matrix element GIS rh (i) = 0, it means that the GIS device GIS r (i) has not failed. Furthermore, the fault behavior carrier model is transformed into a Boolean matrix form. At the same time, when performing matrix operations, with the same periodic time node as the unified dimension, through transposition, the fault behaviors generated by different GIS devices can perform matrix operations under the dimension of the same periodic time node, thereby visualizing the co-frequency of the fault behaviors of different GIS devices.

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

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

[0024] In the first iteration process: let j = j + 1, substitute it into the formula of the regional fault co-frequency, and obtain the regional fault co-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 co-frequency set, denoted as FG(i) = {FF(i, j)|j ∈ [1, I], i ≠ j}, where I represents the coding number of the joint control center;

[0025] In the second iteration process, let i = i + 1, return to the first iteration, and obtain the regional fault co-frequency between the (i + 1)-th joint control center and each joint control center except the (i + 1)-th joint control center, and generate a regional fault co-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 clustering 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 remotely controlling GIS devices through the joint control center, collect and establish a joint control center information database, including several joint control data clusters. The fault reporting times of several GIS devices of the same type of GIS device are recorded in the joint control data clusters.

[0035] Step S200: Based on the fault reporting behavior of GIS devices, periodically update the joint control data clusters, and record each updated joint control data cluster in the form of a matrix carrier.

[0036] Step S300: Based on the fault reporting behavior of GIS devices, perform Boolean matrix processing on the matrix carrier form, and analyze the regional fault co-frequency degree between joint control centers with the joint control center as the co-frequency orientation of regional faults.

[0037] Step S400: Generate a regional fault co-frequency set in an iterative manner. The regional fault co-frequency set is used to collect the regional fault co-frequency degrees of each region and form a sample clustering cluster. Through the sample clustering cluster, analyze the silhouette coefficient of the regional fault co-frequency degree in the regional fault co-frequency set. Based on the silhouette coefficient, while reducing the data of the regional fault co-frequency set, output the co-frequency fault maintenance strategies of each joint control center and all GIS devices remotely controlled by each joint control center.

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

[0039] Step S101: Establish a joint control center information database. Several joint control data clusters are stored in the joint control center information database. Among them, one joint control data cluster is compiled for each joint control center. The joint control center has the function of remotely controlling GIS devices, and one joint control center remotely controls one type of GIS device.

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

[0041] Further, 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: Wherein, 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 m-th element value in the regional fault co-frequency matrix.

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

[0048] Step S401: Construct an iterative model for regional fault co-frequency analysis. The iteration includes the first iteration and the second iteration:

[0049] In the first iteration process: Let j = j + 1, substitute it into the formula of the regional fault co-frequency, obtain the regional fault co-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 co-frequency set, denoted as FG(i) = {FF(i, j)|j ∈ [1, I], i≠j}, where I represents the coding number of the joint control center;

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

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

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

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

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

[0055] Preset the silhouette coefficient threshold. If the sample silhouette coefficient S[FF(i, j)] is greater than or equal to the silhouette coefficient threshold, then retain the regional fault co-frequency FF(i, j) in the regional fault co-frequency set FG(i); otherwise, remove the regional fault co-frequency FF(i, j) from the regional fault co-frequency set FG(i).

[0056] After the retention and removal operations, update and output the regional fault co-frequency set FG(i). The staff performs co-frequency fault maintenance on all GIS devices remotely controlled by the joint control center and 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 device fault maintenance management system and method based on multi-region joint control provided by the present invention, a joint control center information database is established, including several joint control data clusters, to record the fault reporting times of several GIS devices under the same type of GIS device; the joint control data clusters are updated periodically, and each updated joint control data cluster is recorded to capture the fault information of the devices; taking the joint control center as the co-frequency orientation of regional faults, analyze the regional fault co-frequency degree between joint control centers; through an iterative method, generate a regional fault co-frequency set to collect the regional fault co-frequency degrees of each region and form a sample clustering cluster; analyze the silhouette coefficient of the regional fault co-frequency degree, while realizing data reduction of the regional fault co-frequency set, and output the co-frequency fault maintenance strategies of each joint control center and all GIS devices remotely controlled by each joint control center to solve the problem of effective maintenance of cross-regional device faults. BRIEF DESCRIPTION OF THE DRAWINGS

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

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

[0060] Figure 2 is a schematic diagram of the steps of the GIS device fault maintenance management method based on multi-region joint control of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0061] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0062] Please refer to Figure 1 , in the first embodiment: a GIS device fault repair management system based on multi-region joint control is provided, and 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 the GIS device through the joint control center, including several joint control data clusters, and the fault reporting times of several GIS devices under the same GIS device type are recorded in the joint control data cluster;

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

[0065] The joint control center information database unit is used to establish a joint control center information database, and several joint control data clusters are stored in the joint control center information database. Among them, one joint control center corresponds to one compiled joint control data cluster; the joint control center has the function of remotely controlling the GIS device performance, and one joint control center corresponds to remotely controlling one type of GIS device;

[0066] The joint control data cluster generation unit is used to denote the joint control data cluster as JC i ={GIS r (i)|r∈[1, R]}, where i represents the coding number of the joint control center, and GIS r (i) represents the rth GIS device under the ith GIS device type remotely controlled by the ith joint control center, and R represents the total number of GIS devices under the ith 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 device, 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 within the (h - 1)th periodic time node to the hth periodic time node, then count all the GIS devices with fault reporting behavior from the (h - 1)th periodic time node to the hth periodic time node, and update them to the periodic joint control data cluster JC i (h);

[0070] A 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 sorting of rows in the matrix is the coding order of GIS devices of the same GIS device type, and the sorting of columns in the matrix is the coding order of periodic time nodes. Then, the matrix element in the r-th row and h-th column of the matrix is 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, based on the fault reporting behavior of GIS devices, performs Boolean matrix processing on the carrier form of the matrix, and takes the joint control center as the co-frequency orientation of regional faults to analyze the regional fault co-frequency degree 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 to, in the fault behavior carrier model, if the GIS device GIS rh (i) corresponding to the matrix element GIS r (i) has a fault reporting behavior, then set the matrix element GIS rh (i) = 1. If the GIS device GIS rh (i) corresponding to the matrix element GIS r (i) does not have a fault reporting behavior, then set the matrix element GIS rh (i) = 0. Then, the fault behavior carrier model is converted into a Boolean matrix containing only 0 and 1. The Boolean matrix corresponding to the conversion of the fault behavior carrier model i(R×H) is denoted 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 corresponding to the j-th joint control center, and take the i-th joint control center as the co-frequency orientation of regional faults to analyze and calculate the regional fault co-frequency degree between the i-th joint control center and the j-th joint control center. The formula is: In the formula, FF(i, j) represents the regional fault co-frequency degree 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 m-th element value in the regional fault co-frequency matrix;

[0075] The joint control center command module generates a regional fault co-frequency set through an iterative method. The regional fault co-frequency set is used to collect the regional fault co-frequencies of each region and form sample clustering clusters; through the sample clustering clusters, analyze the silhouette coefficient of the regional fault co-frequency in the regional fault co-frequency set, and based on the silhouette coefficient, realize data reduction of the regional fault co-frequency set. At the same time, output the co-frequency fault maintenance strategies of all GIS devices remotely controlled by each joint control center and each joint control center;

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

[0077] The co-frequency analysis iterative model unit is used to construct a regional fault co-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 the regional fault co-frequency, obtain the regional fault co-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 co-frequency set, denoted as FG(i) = {FF(i, j)|j∈[1, I], i≠j}, where I represents the coding number of the joint control center;

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

[0080] The regional fault clustering model unit constructs a regional fault clustering model:

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

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

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

[0084] Preset a silhouette coefficient threshold. If the sample silhouette coefficient S[FF(i, j)] is greater than or equal to the silhouette coefficient threshold, then retain the regional fault co-frequency FF(i, j) in the regional fault co-frequency set FG(i); otherwise, eliminate the regional fault co-frequency FF(i, j) in the regional fault co-frequency set FG(i);

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

[0086] Please refer to Figure 2 In the second embodiment: Provide a GIS device fault maintenance management method based on multi-region joint control. The method includes the following steps:

[0087] Step S100: When remotely controlling GIS devices through the joint control center, collect and establish a joint control center information database, including several joint control data clusters. The joint control data clusters record the fault reporting times of several GIS devices under the same type of GIS device.

[0088] Exemplarily, establish a joint control center information database. Several joint control data clusters are stored in the joint control center information database. Among them, one joint control center corresponds to one compiled joint control data cluster; the joint control center has the function of remotely controlling GIS devices, and one joint control center corresponds to remotely controlling one type of GIS device;

[0089] Denote the joint control data cluster as JC i ={GIS r (i)|r ∈ [1, R]}, where i represents the coding number of the joint control center, GIS r (i) represents the rth GIS device under the ith type of GIS device remotely controlled by the ith joint control center, and R represents the total number of GIS devices under the ith type of GIS device;

[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. 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 corresponding to the j-th joint control center. Taking the i-th joint control center as the co-frequency orientation of the regional fault, analyze and calculate the co-frequency degree of the regional fault between the i-th joint control center and the j-th joint control center. The formula is as follows: In the formula, FF(i, j) represents the co-frequency degree of the regional fault between the i-th joint control center and the j-th joint control center, [i, j](M) represents the co-frequency matrix of the regional fault, and BM{[j](R×H)} T represents the transpose matrix of the Boolean matrix BM{[j](R×H)}, T represents the transpose operator, and i≠j, bM m represents any m-th element value in the co-frequency matrix of the regional fault;

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

[0097] Step S400: Generate a co-frequency set of regional faults in an iterative manner. The co-frequency set of regional faults is used to collect the co-frequency degrees of each regional fault and form a sample clustering cluster. Through the sample clustering cluster, analyze the silhouette coefficient of the co-frequency degree of the regional fault in the co-frequency set of regional faults, and based on the silhouette coefficient, realize the data reduction of the co-frequency set of regional faults. At the same time, output the co-frequency fault maintenance strategies of each joint control center and all GIS devices remotely controlled by each joint control center;

[0098] Exemplarily, construct an iterative model for co-frequency analysis of regional faults. The iteration includes the first iteration and the second iteration:

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

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

[0101] Construct a regional fault clustering model:

[0102] Collect all co-frequency sets of regional faults, and take a co-frequency set of regional faults as a sample clustering 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 repair management method based on multi-region joint control, characterized in that, The method includes the following steps: Step S100: When remotely controlling GIS devices through a joint control center, collect and establish a joint control center information database, including a number of joint control data clusters. The joint control data clusters record the fault reporting times of several GIS devices under the same type of GIS device; Denote the interlocking control data cluster as JC i ={GIS r (i)|r ∈ [1, R]}, where i represents the coding number of the interlocking control center, and GIS r (i) represents the r-th GIS device under the i-th type of GIS device remotely controlled by the i-th interlocking control center, and R represents the total number of GIS devices under the i-th type of GIS device; Step S200: Based on the fault reporting behavior of GIS devices, periodically update the joint control data clusters, and record each updated joint control data cluster in the form of a matrix carrier; The sorting of rows in the matrix is the coding order of GIS devices under the same type of GIS device, and the sorting of columns in the matrix is the coding order of periodic time nodes. Then, the matrix element in the r-th row and h-th column of the matrix is 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); Step S300: Based on the fault reporting behavior of GIS devices, perform Boolean matrix processing on the matrix carrier form, and analyze the regional fault co-frequency degree between joint control centers with the joint control center as the co-frequency orientation of regional faults; The specific implementation process of step S300 includes: Step S301: In the fault behavior carrier model, if the matrix element GIS rh (i) corresponding to the GIS device GIS r (i) has a fault reporting behavior, then set the matrix element GIS rh (i) = 1. If the matrix element GIS rh (i) corresponding to the GIS device GIS r (i) does not have a fault reporting behavior, then set the matrix element GIS rh (i) = 0. Then transform the fault behavior carrier model into a Boolean matrix containing only 0 and 1; denote the Boolean matrix corresponding to the transformation of the fault behavior carrier model i(R×H) as BM{[i](R×H)}; Step S302: Select the Boolean matrix BM{[j](R×H)} generated corresponding to the j-th joint control center. Taking the i-th joint control center as the co-frequency orientation of the regional fault, analyze and calculate the regional fault co-frequency degree between the i-th joint control center and the j-th joint control center. The formula is: In the formula, FF(i, j) represents the regional fault co-frequency degree 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 transpose matrix of the Boolean matrix BM{[j](R×H)}, T represents the transpose operator, and i≠j, bM m represents any m-th element value in the regional fault co-frequency matrix; Step S400: Generate a regional fault co-frequency set through an iterative method. The regional fault co-frequency set is used to collect the regional fault co-frequency degrees of each region and form a sample clustering cluster; through the sample clustering cluster, analyze the silhouette coefficient of the regional fault co-frequency degree in the regional fault co-frequency set, and based on the silhouette coefficient, reduce the data of the regional fault co-frequency set while outputting the co-frequency fault maintenance strategies of each joint control center and all GIS devices remotely controlled by each joint control center.

2. The GIS equipment fault repair management method based on multi-region joint control according to claim 1, wherein, The specific implementation process of step S100 includes: Establish a joint control center information database, which stores a number of joint control data clusters. Among them, one joint control data cluster is compiled for one joint control center; the joint control center has the function of remotely controlling GIS devices, and one joint control center remotely controls one type of GIS device.

3. The GIS equipment fault repair management method based on multi-region joint control according to claim 2, characterized in that The specific implementation process of step S200 includes: Step S201: Configure cycle time nodes to update the joint control data cluster periodically. If the fault reporting time of the GIS device is within the (h - 1)-th cycle time node to the h-th cycle time node, then count all GIS devices that have reported fault within the (h - 1)-th cycle time node to the h-th cycle time node, and update them to the periodic joint control data cluster JC i (h); Step S202: Establish a fault behavior carrier model, which is in the matrix form of R×H, where R represents the total number of rows of the matrix, and the total number of rows is equal to the number of GIS devices under the same type of GIS device, and H represents the total number of columns of the matrix, and the total number of columns is equal to the total number of periodic time nodes.

4. The GIS equipment fault repair management method based on multi-region joint control according to claim 3, wherein The specific implementation process of step S400 includes: Step S401: Construct a regional fault co-frequency analysis iterative model. The iteration includes the first iteration and the second iteration: In the first iteration process: Let j = j + 1, substitute it into the formula of the regional fault co-frequency degree, and obtain the regional fault co-frequency degree between the i-th joint control center and each joint control center except the i-th joint control center, and generate a regional fault co-frequency set, denoted as FG(i) = {FF(i, j)|j ∈ [1, I], i ≠ j}, where I represents the coding number of the joint control center; In the second iteration process, let i = i + 1, return to the first iteration, and obtain the regional fault co-frequency degree between the (i + 1)-th joint control center and each joint control center except the (i + 1)-th joint control center, and generate a regional fault co-frequency set FG(i + 1); Step S402: Construct a regional fault clustering model: Collect all regional fault co-frequency sets, and regard a regional fault co-frequency set as a sample clustering cluster; In the regional fault co-frequency set FG(i), randomly select a regional fault co-frequency FF(i, j). When analyzing and calculating the sample silhouette coefficient of the regional fault co-frequency FF(i, j) in the regional fault co-frequency set FG(i) as a sample clustering cluster, the formula is as follows: In the formula, S[FF(i, j)] represents the sample silhouette coefficient, A[FF(i, j)] represents the cohesion of the regional fault co-frequency FF(i, j), B[FF(i, j)] represents the separation of the regional fault co-frequency FF(i, j), NUM[FG(i)] represents the total number of regional fault co-frequencies included in the regional fault co-frequency set FG(i), NUM[FG(i + 1)] represents the total number of regional fault co-frequencies included in the regional fault co-frequency set FG(i + 1), and both FF(i, j + 1) and FF(i + 1, j + 1) represent the regional fault co-frequency; Preset the silhouette coefficient threshold. If the sample silhouette coefficient S[FF(i, j)] is greater than or equal to the silhouette coefficient threshold, then retain the regional fault co-frequency FF(i, j) in the regional fault co-frequency set FG(i); otherwise, eliminate the regional fault co-frequency FF(i, j) in the regional fault co-frequency set FG(i); After the retention and elimination operations, update and output the regional fault co-frequency set FG(i). The staff performs co-frequency fault maintenance on all GIS devices remotely controlled by the joint control center and the joint control center according to the updated regional fault co-frequency set.

5. GIS equipment fault repair management system based on multi-region joint control, characterized in that, 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 devices through the joint control center, including several joint control data clusters. The fault reporting times of several GIS devices of the same GIS device type are recorded in the joint control data clusters; The fault log module includes a joint control data cluster generation unit, which is used to record the joint control data cluster as JC i ={GIS r (i)|r∈[1, R]}, where i represents the coding number of the joint control center, and GIS r (i) represents the r-th GIS device under the i-th type of GIS device remotely controlled by the i-th joint control center, and R represents the total number of GIS devices under the i-th type of GIS device; The periodic data processing module periodically updates the joint control data clusters based on the fault reporting behavior of GIS devices, and records each updated joint control data cluster in the form of a matrix; The sorting of rows in the matrix is the coding order of GIS devices under the same type of GIS device, and the sorting of columns in the matrix is the coding order of periodic time nodes. Then, the matrix element in the r-th row and h-th column of the matrix is 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); The regional fault linkage analysis module performs Boolean matrix processing on the matrix form based on the fault reporting behavior of GIS devices, and analyzes the regional fault co-frequency between joint control centers with the joint control center as the co-frequency orientation of regional faults; The regional fault linkage analysis module includes a carrier conversion unit and a regional fault co-frequency processing unit; The carrier transformation unit is used to, in the fault behavior carrier model, if the matrix element GIS rh (i) corresponding to the GIS device GIS r (i) has a fault reporting behavior, then set the matrix element GIS rh (i) = 1. If the matrix element GIS rh (i) corresponding to the GIS device GIS r (i) does not have a fault reporting behavior, then set the matrix element GIS rh (i) = 0, and then transform the fault behavior carrier model into a Boolean matrix containing only 0 and 1; denote the Boolean matrix corresponding to the transformation of the fault behavior carrier model i(R×H) 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 jth joint control center, and analyze and calculate the regional fault co-frequency between the ith joint control center and the jth joint control center with the ith joint control center as the co-frequency orientation of regional faults. The formula is as follows: In the formula, 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 transpose matrix of the Boolean matrix BM{[j](R×H)}, T represents the transpose operator, and i ≠ j, bM m represents the value of any m-th element in the regional fault co-frequency matrix; The control center command module generates a regional fault co-frequency set in an iterative manner. The regional fault co-frequency set is used to collect the co-frequency degrees of various regional faults and form sample clustering clusters. Through the sample clustering clusters, the silhouette coefficient of the regional fault co-frequency degree in the regional fault co-frequency set is analyzed, and based on the silhouette coefficient, data reduction of the regional fault co-frequency set is realized. At the same time, the co-frequency fault maintenance strategies of all GIS devices remotely controlled by each control center and each control center are output.

6. The GIS equipment fault maintenance management system based on multi-region joint control according to claim 5, wherein: The fault log module includes a control center information database unit. The control center information database unit is used to establish a control center information database, in which several control data clusters are stored. Among them, one control center corresponds to one compiled control data cluster. The control center has the function of remotely controlling the performance of GIS devices, and one control center corresponds to remotely controlling one type of GIS device.

7. The GIS equipment fault repair management system based on multi-region joint control according to claim 6, characterized in that: The periodic data processing module includes a periodic update unit and a carrier model unit. The periodic update unit is used to configure periodic time nodes and update the joint control data cluster periodically. If the fault reporting time of the GIS device is within the (h-1)-th periodic time node to the h-th periodic time node, all GIS devices with fault reporting behaviors occurring within the (h-1)-th periodic time node to the h-th periodic time node are counted and updated to the periodic joint control data cluster JC i (h); The carrier model unit is used to establish a fault behavior carrier model, and the fault behavior carrier model is in the form of a matrix of R×H, where R represents the total number of rows of the matrix, and the total number of rows is equal to the number of GIS devices under the same type of GIS device, and H represents the total number of columns of the matrix, and the total number of columns is equal to the total number of periodic time nodes.

8. The GIS equipment fault repair management system based on multi-region joint control according to claim 7, characterized in that: The control center command module includes a co-frequency analysis iterative model unit and a regional fault clustering model unit. The co-frequency analysis iterative model unit is used to construct a regional fault co-frequency analysis iterative model. The iteration includes the first iteration and the second iteration: In the first iteration process: let j = j + 1, substitute it into the formula of the regional fault co-frequency degree, obtain the regional fault co-frequency degree between the i-th control center and each control center except the i-th control center, and generate a regional fault co-frequency set, denoted as FG(i) = {FF(i, j)|j ∈ [1, I], i ≠ j}, where I represents the coding number of the control center. In the second iteration process, let i = i + 1, return to the first iteration, obtain the regional fault co-frequency degree between the (i + 1)-th control center and each control center except the (i + 1)-th control center, and generate a regional fault co-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 clustering cluster. In the regional fault co-frequency set FG(i), randomly select a regional fault co-frequency degree FF(i, j), and analyze and calculate the sample silhouette coefficient of the regional fault co-frequency degree FF(i, j) in the regional fault co-frequency set FG(i) when the regional fault co-frequency set FG(i) is used as a sample clustering cluster. The formula is: Wherein, S[FF(i, j)] represents the sample silhouette coefficient, A[FF(i, j)] represents the cohesion of the regional fault co-frequency FF(i, j), B[FF(i, j)] represents the separation of the regional fault co-frequency FF(i, j), NUM[FG(i)] represents the total number of regional fault co-frequencies included in the regional fault co-frequency set FG(i), NUM[FG(i + 1)] represents the total number of regional fault co-frequencies included in the regional fault co-frequency set FG(i + 1), and both FF(i, j + 1) and FF(i + 1, j + 1) represent the regional fault co-frequency; Preset a silhouette coefficient threshold. If the sample silhouette coefficient S[FF(i, j)] is greater than or equal to the silhouette coefficient threshold, then retain the regional fault co-frequency FF(i, j) in the regional fault co-frequency set FG(i). Otherwise, eliminate the regional fault co-frequency FF(i, j) from the regional fault co-frequency set FG(i); After the retention and elimination operations, update and output the regional fault co-frequency set FG(i). The staff perform co-frequency fault maintenance on all GIS devices remotely controlled by the joint control center and the joint control center according to the updated regional fault co-frequency set.

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