CN112990764B - Power grid equipment maintenance condition monitoring method based on reimbursement certificate - Google Patents
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Abstract
The invention provides a power grid equipment maintenance condition monitoring method based on reimbursement certificates, which comprises the following steps: extracting power grid equipment and overhaul cost data in the reimbursement voucher, storing the overhaul cost data into a secondary node below the primary node, and recording a storage path and storage time; adding the maintenance cost data stored in the primary node, and generating an access sequence when the addition result exceeds the budget; acquiring historical overhaul data of the power grid equipment, determining a starting point of the power grid equipment in an aging stage according to the historical overhaul data, acquiring an aging coefficient corresponding to the aging stage, and optimizing an access sequence based on the aging coefficient; and screening the optimized access sequence by combining a preset reference sequence, and analyzing whether the power grid equipment has the condition of frequent maintenance or not according to the screened access sequence. And the maintenance cost data is fully utilized to quickly judge the power grid equipment with frequent fault maintenance when the maintenance operation exceeds the budget, so that the effective management of the power grid equipment is realized.
Description
Technical Field
The invention relates to a power grid equipment maintenance condition monitoring method based on reimbursement certificates.
Background
In the daily operation of a power grid company, maintenance operation is frequently required to be performed on power grid equipment, the maintenance operation mainly comprises daily regular inspection and fault maintenance, corresponding operation cost is generated in the maintenance operation, and a financial department needs to judge whether the budget of the maintenance operation in a marketing plan is exceeded or not through the statistic work of the operation cost. Because the financial department usually lacks understanding about the specific overhaul condition of the power grid equipment, the operation cost exceeding the budget can only be found when the overhaul cost data is analyzed, and the specific power grid equipment causing the budget exceeding is difficult to analyze, so that the adjustment of the power grid equipment management strategy is influenced.
Disclosure of Invention
In order to solve the defects in the prior art, the invention provides a power grid equipment maintenance condition monitoring method based on reimbursement certificates, which comprises the following steps:
s100, extracting power grid equipment and overhaul cost data in the reimbursement certificate, accessing a primary node in a database according to the power grid equipment, storing the overhaul cost data into a secondary node below the primary node, and recording a storage path and storage time;
s200, adding the maintenance cost data stored in the primary node, and generating an access sequence of the secondary node according to the storage path and the storage time when the addition result exceeds the budget;
s300, acquiring historical overhaul data of the power grid equipment, determining a starting point of the power grid equipment in an aging stage according to the historical overhaul data, acquiring an aging coefficient corresponding to the aging stage, and optimizing an access sequence based on the aging coefficient;
s400, screening the optimized access sequence by combining a preset reference sequence, and analyzing whether the power grid equipment is frequently overhauled or not according to the screened access sequence.
Optionally, the S100 includes:
determining a first identification area on the reimbursement certificate, extracting first text information in the first identification area, performing word segmentation processing on the first text information to obtain a keyword, matching the keyword with a preset keyword dictionary, and determining power grid equipment related to maintenance operation according to a matching result;
and determining a second identification area on the reimbursement voucher, and extracting overhaul cost data according to second text information in the second identification area.
Optionally, in S200, the generating an access sequence of the secondary node according to the storage path and the storage time includes:
screening out a storage path passing through a primary node beyond budget, and generating a sequence value at a secondary node corresponding to a terminal point of the storage path;
the sequence values at each secondary node are arranged based on the sequence of the storage times, and an access sequence is generated, wherein the access sequence represents the frequency of the overhaul operation.
Optionally, the S300 includes:
acquiring historical overhaul data of the power grid equipment, wherein the historical overhaul data comprises overhaul time, overhaul content and overhauled historical operation data;
clustering the power grid equipment according to historical operating data with the same overhaul content, and acquiring historical operating data of a clustering center after clustering is completed;
if the historical operation data of the clustering center meet the preset aging standard, acquiring the maintenance time of the power grid equipment under the class of the clustering center;
adding a preset time delay to the earliest starting moment in the maintenance time to be used as the starting point of the aging stage;
and determining an aging coefficient according to the mapping relation between the initial point of the aging stage and the life cycle of the power grid equipment.
Optionally, in S300, the optimizing the access sequence based on the aging coefficient includes:
and multiplying the interval of the sequence values in the aging stage by an aging coefficient, and adjusting the interval of the sequence values based on the multiplication result.
Optionally, in S400, the screening the optimized access sequence by combining with a preset reference sequence includes:
generating a reference sequence according to a preset frequency of daily regular inspection;
and comparing the optimized access sequence with the reference sequence, and screening out the part of the access sequence which is not overlapped with the reference sequence.
Optionally, in S400, analyzing whether the power grid device has a frequent overhaul condition according to the filtered access sequence includes:
and analyzing the fault maintenance sequence through a preset sliding window, and judging that the fault maintenance is frequent when the number of sequence values selected by the preset sliding window exceeds a preset threshold value, and prompting that the power grid equipment corresponding to the secondary node needs to be replaced.
Optionally, the first-level nodes correspond to asset devices one to one, and the second-level nodes correspond to grid devices one to one.
Optionally, in S100, the asset device includes a 10kV distribution overhead line, a 10kV distribution cable line, a 10kV distribution transformer, a low-voltage transformer area, a 20kV distribution overhead line, a 20kV distribution cable line, and a 20kV substation; the power grid equipment is an accessory installed on the asset equipment.
Optionally, the corresponding relationship between the asset device and the power grid device includes:
the power grid equipment corresponding to the 10kV power distribution overhead line and the 20kV power distribution overhead line comprises a tower pole, a lead, a line arrester, an on-column isolating switch and a line fault indicator;
the power grid equipment corresponding to the 10kV distribution cable line and the 20kV distribution cable line comprises a cable line, a ring main unit and a cable pipe ditch;
the power grid equipment corresponding to the low-voltage distribution area comprises a low-voltage sum distribution box and a low-voltage line;
the power grid equipment corresponding to the 10kV distribution transformer and the 20kV transformer substation comprises a pole-mounted transformer, a box-type transformer, an indoor transformer, a switch cabinet and a station room.
The technical scheme provided by the invention has the beneficial effects that:
by utilizing the process of storing the relevant information of the repair operation in the reimbursement voucher into the database and generating the access sequence by recording the storage path and the storage time, the repair condition of the power grid equipment is analyzed by fully utilizing the repair cost data, the power grid equipment with frequent fault maintenance when the repair operation exceeds the budget can be quickly judged, and the effective management of the power grid equipment is realized. Meanwhile, in consideration of the natural aging phenomenon of the power grid equipment along with the increase of the running time, in order to improve the accuracy of judgment, the aging stage and the corresponding aging coefficient of the power grid equipment are determined through historical overhaul data, and therefore the optimization of the access sequence is achieved.
In addition, the power grid equipment overhaul management method provided by the invention can be used for counting the overhaul frequency of the power grid equipment without adding extra tag fields to the overhaul cost data, so that the data volume is reduced, and the pressure of data analysis is relieved.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on the drawings without creative efforts.
Fig. 1 is a schematic flow chart of a power grid equipment overhaul condition monitoring method based on reimbursement certificates, which is provided by the invention;
FIG. 2 is a schematic diagram of a relationship between a primary node and a secondary node corresponding to a 10kV power distribution network in a database;
fig. 3 is a schematic diagram of a relationship between a primary node and a secondary node corresponding to a 20kV distribution network in a database.
Detailed Description
To make the structure and advantages of the present invention clearer, the structure of the present invention will be further described with reference to the accompanying drawings.
Example one
As shown in fig. 1, the present embodiment provides a power grid equipment overhaul condition monitoring method based on reimbursement certificates, including:
s100, extracting power grid equipment and overhaul cost data in the reimbursement certificate, accessing a primary node in a database according to the power grid equipment, storing the overhaul cost data into a secondary node below the primary node, and recording a storage path and storage time;
s200, adding the maintenance cost data stored in the primary node, and generating an access sequence of the secondary node according to the storage path and the storage time when the addition result exceeds the budget;
s300, acquiring historical overhaul data of the power grid equipment, determining a starting point of the power grid equipment in an aging stage according to the historical overhaul data, acquiring an aging coefficient corresponding to the aging stage, and optimizing an access sequence based on the aging coefficient;
s400, screening the optimized access sequence by combining a preset reference sequence, and analyzing whether the power grid equipment is frequently overhauled or not according to the screened access sequence.
By utilizing the process of storing the relevant information of the repair operation in the reimbursement voucher into the database and generating the access sequence by recording the storage path and the storage time, the repair condition of the power grid equipment is analyzed by fully utilizing the repair cost data, the power grid equipment with frequent fault maintenance when the repair operation exceeds the budget can be quickly judged, and the effective management of the power grid equipment is realized.
The relation between the primary nodes and the secondary nodes in the database in S100 is shown in FIGS. 2 and 3, the primary nodes correspond to asset equipment one to one, the secondary nodes correspond to power grid equipment one to one, and the asset equipment comprises a 10kV distribution overhead line, a 10kV distribution cable line, a 10kV distribution transformer, a low-voltage transformer area, a 20kV distribution overhead line, a 20kV distribution cable line and a 20kV transformer substation; the power grid equipment is an accessory installed on the asset equipment. Specifically, the corresponding relationship between the asset device and the power grid device includes:
the power grid equipment corresponding to the 10kV power distribution overhead line and the 20kV power distribution overhead line comprises a tower pole, a lead, a line arrester, an on-column isolating switch and a line fault indicator;
the power grid equipment corresponding to the 10kV distribution cable line and the 20kV distribution cable line comprises a cable line, a ring main unit and a cable pipe ditch;
the power grid equipment corresponding to the 10kV distribution transformer comprises a pole-mounted transformer, a box-type transformer, an indoor transformer, a switch station and a station room;
the power grid equipment corresponding to the low-voltage distribution area comprises a low-voltage sum distribution box and a low-voltage line;
the power grid equipment corresponding to the 20kV transformer substation comprises a pole-mounted transformer, a box-type transformer, an indoor transformer, a switch cabinet and a station room.
And constructing a storage node in the database based on the corresponding relation between the asset equipment and the power grid equipment of the power grid, wherein the corresponding relation is the basis of the subsequent generation of a storage path, the fusion of financial data in the reimbursement voucher and a power grid topological structure is realized, and the cost condition generated in the process of overhauling the power grid equipment is visually reflected.
Storing information in the reimbursement voucher in a database by executing the step S100, firstly, determining a first identification area on the reimbursement voucher, extracting first text information in the first identification area, performing word segmentation processing on the first text information to obtain a keyword, matching the keyword with a preset keyword dictionary, and determining power grid equipment related to overhaul operation according to a matching result. The preset keyword dictionary stores standard names of the power grid equipment, and the matching result is the standard name closest to the meaning of the keyword. The method comprises the steps of determining the power grid equipment to be repaired through first text information on the reimbursement voucher, calling a standard name and a mapping table of secondary nodes stored in a database in advance, sequentially accessing the primary nodes and the secondary nodes through calling address pointers to store data, and simultaneously recording storage paths according to the access sequence of the primary nodes and the secondary nodes.
Then, determining a second identification area on the reimbursement voucher, and extracting overhaul cost data according to second text information in the second identification area, wherein the overhaul cost data specifically comprise: and extracting the numbers in the second text information, analyzing the numbers representing the overhaul cost by combining the context of the second text, extracting, storing the extracted numbers serving as overhaul cost data into corresponding secondary nodes according to the storage path, and simultaneously recording the time of storing the extracted numbers into the secondary nodes.
In practical applications, it is generally analyzed in units of asset devices whether the budget is exceeded, so in this embodiment, the overhaul cost data stored in the primary node corresponding to the asset device, that is, the overhaul cost data stored in all the secondary nodes below the primary node, are added. When the addition result exceeds the budget, generating an access sequence of the secondary node according to the storage path and the storage time, wherein the specific process for generating the access sequence comprises the following steps:
screening out a storage path passing through a primary node beyond budget, and generating a sequence value at a secondary node corresponding to a terminal point of the storage path; the sequence values at each secondary node are arranged based on the sequence of the storage times, and an access sequence is generated, wherein the access sequence represents the frequency of the overhaul operation.
Therefore, in the embodiment, each secondary node below the primary node beyond the budget correspondingly generates an access sequence, the sequence values are arranged based on the storage time, and the information of the power grid equipment overhaul frequency is carried through the intervals between the sequence values. Compared with the traditional method, the embodiment has the advantages that the access sequence replaces the function of setting characters, the data amount stored in the database is reduced, the asset equipment is taken as a statistical unit, only when the primary node exceeding the budget condition exists, the corresponding access sequence is generated for the secondary node under the primary node, all data in the database do not need to be counted, and the calculation pressure of searching and analyzing the overhaul cost data is reduced.
In consideration of the natural aging phenomenon of the power grid equipment in the operation process, in order to analyze the maintenance condition of the power grid equipment more accurately, in this embodiment, the access sequence is optimized by executing S300, which specifically includes:
acquiring historical overhaul data of the power grid equipment, wherein the historical overhaul data comprises overhaul time, overhaul content and overhauled historical operation data;
clustering the power grid equipment according to historical operating data with the same overhaul content, and acquiring historical operating data of a clustering center after clustering is completed;
if the historical operation data of the clustering center meet the preset aging standard, acquiring the maintenance time of the power grid equipment under the class of the clustering center;
adding a preset time delay to the earliest starting moment in the maintenance time to be used as the starting point of the aging stage;
and determining an aging coefficient according to the mapping relation between the initial point of the aging stage and the life cycle of the power grid equipment. In this embodiment, an aging curve that reflects the life cycle of the power grid equipment is fitted in advance, where the abscissa of the aging curve is the time of the power grid equipment being put into operation, and the ordinate is the percentage of the aging degree. The aging coefficients corresponding to different aging degrees are different, and this embodiment may directly use the percentage of the aging degree as the aging coefficient, or may divide the aging degree into a plurality of periods, where each period corresponds to one aging coefficient. If the percentage of the aging degree is directly used as the aging coefficient, the initial point of the aging stage determined in the optimization process is compared with the abscissa of the aging curve, so that the aging coefficient is determined according to the mapping relation displayed by the aging curve. If the aging degree is divided into a plurality of time intervals, judging the time interval in which the starting point of the aging stage determined in the optimization process is positioned, and determining the aging coefficient corresponding to the time interval.
Generally, the aging of the power grid equipment is a main cause of frequent maintenance, so that the maintenance budget is easily out of limits due to the frequent maintenance. Therefore, in order to find out the phenomenon of frequent maintenance of the power grid equipment in time, in this embodiment, the interval of the sequence values in the aging stage is multiplied by an aging coefficient, and the interval of the sequence values is adjusted based on the multiplication result, where the aging coefficient is a positive number smaller than 1, and therefore, in the optimization process of the access sequence, the interval between the sequence values in the aging stage is reduced, so that the characteristic of frequent maintenance in the access sequence is more prominent, and omission of aged power grid equipment is avoided. Because in the actual maintenance scene, the maintenance operation to the power grid equipment mainly includes daily periodic inspection and troubleshooting, and daily periodic inspection and troubleshooting' S maintenance cost data all can be saved in the database, in order to analyze the frequent maintenance phenomenon that equipment trouble arouses, the data interference of daily periodic inspection need be filtered out, consequently, this embodiment screens the access sequence after optimizing through carrying out S400, specifically includes:
generating a reference sequence according to a preset frequency of daily regular inspection;
and comparing the optimized access sequence with the reference sequence, and screening out the part of the access sequence which is not overlapped with the reference sequence.
Whether the power grid equipment has the condition of frequent maintenance or not is analyzed according to the access sequence after screening, and the method comprises the following steps:
and analyzing the fault maintenance sequence through a preset sliding window, judging that fault maintenance is frequent when the number of sequence values selected by the preset sliding window exceeds a preset threshold value, and prompting that power grid equipment corresponding to the secondary node needs to be replaced during maintenance.
In this embodiment, the length of the preset sliding window may be set by an operation and maintenance worker according to experience, or may be determined according to a proportion of a single overhaul cost in an overhaul budget, where the larger the proportion is, the smaller the length of the preset sliding window is.
The sequence numbers in the above embodiments are merely for description, and do not represent the sequence of the assembly or the use of the components.
The above description is only exemplary of the present invention and should not be taken as limiting the invention, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. The power grid equipment overhaul condition monitoring method based on reimbursement certificates is characterized by comprising the following steps of:
s100, extracting power grid equipment and overhaul cost data in the reimbursement certificate, accessing a primary node in a database according to the power grid equipment, storing the overhaul cost data into a secondary node below the primary node, and recording a storage path and storage time;
s200, adding the maintenance cost data stored in the primary node, and generating an access sequence of the secondary node according to the storage path and the storage time when the addition result exceeds the budget;
s300, acquiring historical overhaul data of the power grid equipment, determining a starting point of the power grid equipment in an aging stage according to the historical overhaul data, acquiring an aging coefficient corresponding to the aging stage, and optimizing an access sequence based on the aging coefficient;
s400, screening the optimized access sequence by combining a preset reference sequence, and analyzing whether the power grid equipment has the condition of frequent maintenance or not according to the screened access sequence;
the S300 includes:
acquiring historical overhaul data of the power grid equipment, wherein the historical overhaul data comprises overhaul time, overhaul content and overhauled historical operation data;
clustering the power grid equipment according to historical operating data with the same overhaul content, and acquiring historical operating data of a clustering center after clustering is completed;
if the historical operation data of the clustering center meet the preset aging standard, acquiring the maintenance time of the power grid equipment under the class of the clustering center;
adding a preset time delay to the earliest starting moment in the maintenance time to be used as the starting point of the aging stage;
determining an aging coefficient according to a mapping relation between an initial point of an aging stage and the life cycle of the power grid equipment;
in S300, the optimizing an access sequence based on the aging coefficient includes:
and multiplying the interval of the sequence values in the aging stage by an aging coefficient, and adjusting the interval of the sequence values based on the multiplication result.
2. The power grid equipment overhaul condition monitoring method based on reimbursement vouchers as claimed in claim 1, wherein the S100 comprises:
determining a first identification area on the reimbursement certificate, extracting first text information in the first identification area, performing word segmentation processing on the first text information to obtain a keyword, matching the keyword with a preset keyword dictionary, and determining power grid equipment related to maintenance operation according to a matching result;
and determining a second identification area on the reimbursement voucher, and extracting overhaul cost data according to second text information in the second identification area.
3. The power grid equipment overhaul condition monitoring method based on reimbursement vouchers as claimed in claim 1, wherein the generating an access sequence of secondary nodes according to the storage paths and the storage time in S200 includes:
screening out a storage path passing through a primary node beyond budget, and generating a sequence value at a secondary node corresponding to a terminal point of the storage path;
the sequence values at each secondary node are arranged based on the sequence of the storage times, and an access sequence is generated, wherein the access sequence represents the frequency of the overhaul operation.
4. The method for monitoring the overhaul condition of the power grid equipment based on the reimbursement certificates of claim 1, wherein in S400, the screening of the optimized access sequence in combination with a preset reference sequence comprises:
generating a reference sequence according to a preset frequency of daily regular inspection;
and comparing the optimized access sequence with the reference sequence, and screening out the part of the access sequence which is not overlapped with the reference sequence.
5. The power grid equipment overhaul condition monitoring method based on reimbursement vouchers as claimed in claim 1, wherein in S400, the analyzing whether the power grid equipment has frequent overhaul conditions according to the filtered access sequences includes:
and analyzing the screened access sequences through a preset sliding window, and judging that the fault maintenance is frequent when the number of the sequence values selected by the preset sliding window exceeds a preset threshold value, and prompting that the power grid equipment corresponding to the secondary node needs to be replaced.
6. The power grid equipment overhaul condition monitoring method based on the reimbursement voucher, according to claim 1, wherein the primary nodes correspond to asset equipment one to one, and the secondary nodes correspond to power grid equipment one to one.
7. The reimbursement voucher-based power grid equipment overhaul condition monitoring method according to claim 6, wherein in S100, the asset equipment comprises a 10kV power distribution overhead line, a 10kV power distribution cable line, a 10kV power distribution transformer, a low-voltage transformer area, a 20kV power distribution overhead line, a 20kV power distribution cable line and a 20kV transformer substation; the power grid equipment is an accessory installed on the asset equipment.
8. The power grid equipment overhaul condition monitoring method based on the reimbursement voucher, according to claim 7, wherein the corresponding relationship between the asset equipment and the power grid equipment comprises:
the power grid equipment corresponding to the 10kV power distribution overhead line and the 20kV power distribution overhead line comprises a tower pole, a lead, a line arrester, an on-column isolating switch and a line fault indicator;
the power grid equipment corresponding to the 10kV distribution cable line and the 20kV distribution cable line comprises a cable line, a ring main unit and a cable pipe ditch;
the power grid equipment corresponding to the low-voltage distribution area comprises a low-voltage sum distribution box and a low-voltage line;
the power grid equipment corresponding to the 10kV distribution transformer and the 20kV transformer substation comprises a pole-mounted transformer, a box-type transformer, an indoor transformer, a switch cabinet and a station room.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108537386A (en) * | 2018-04-13 | 2018-09-14 | 上海财经大学 | Maintenance forecast device based on history maintenance record |
| CN109583794A (en) * | 2018-12-29 | 2019-04-05 | 哈尔滨工业大学 | A kind of method of determining elevator failure time |
| CN109636557A (en) * | 2018-12-11 | 2019-04-16 | 厦门商集网络科技有限责任公司 | A kind of intelligent classification bookkeeping methods and equipment based on bank slip recognition |
| CN110244184A (en) * | 2019-07-04 | 2019-09-17 | 国网江苏省电力有限公司 | A kind of distribution line fault observer method for digging, system and the medium of frequent item set |
| CN111126744A (en) * | 2019-10-22 | 2020-05-08 | 陕西省地方电力（集团）有限公司 | Power grid transformation equipment maintenance management method and system |
-
2021
- 2021-04-15 CN CN202110406425.2A patent/CN112990764B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108537386A (en) * | 2018-04-13 | 2018-09-14 | 上海财经大学 | Maintenance forecast device based on history maintenance record |
| CN109636557A (en) * | 2018-12-11 | 2019-04-16 | 厦门商集网络科技有限责任公司 | A kind of intelligent classification bookkeeping methods and equipment based on bank slip recognition |
| CN109583794A (en) * | 2018-12-29 | 2019-04-05 | 哈尔滨工业大学 | A kind of method of determining elevator failure time |
| CN110244184A (en) * | 2019-07-04 | 2019-09-17 | 国网江苏省电力有限公司 | A kind of distribution line fault observer method for digging, system and the medium of frequent item set |
| CN111126744A (en) * | 2019-10-22 | 2020-05-08 | 陕西省地方电力（集团）有限公司 | Power grid transformation equipment maintenance management method and system |
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